SEARCH FOR THE OPTIMIAL NUMBER OF COMMITEES
test <- train(x = X1,
y = Y1,
"cubist",
tuneGrid = expand.grid(.committees = seq(10, 100, 10),
.neighbors = 0),
trControl = trainControl(method = 'cv'))
summary(test)
##
## Call:
## cubist.default(x = x, y = y, committees = param$committees)
##
##
## Cubist [Release 2.07 GPL Edition] Tue Apr 16 21:14:19 2019
## ---------------------------------
##
## Target attribute `outcome'
##
## Read 406 cases (14 attributes) from undefined.data
##
## Model 1:
##
## Rule 1/1: [74 cases, mean 2.572835, range 1.609438 to 3.314186, est err 0.185865]
##
## if
## nox > 0.671
## then
## outcome = 0.921663 + 0.676 dis + 3.01 nox - 0.026 lstat - 0.215 rm
## - 0.0065 crim
##
## Rule 1/2: [17 cases, mean 2.596890, range 1.94591 to 3.314186, est err 0.188471]
##
## if
## nox <= 0.671
## tax > 437
## lstat > 19.69
## then
## outcome = 14.894964 - 0.01312 tax - 4.07 nox - 0.066 dis - 0.03 ptratio
## - 0.0088 indus - 0.0023 crim
##
## Rule 1/3: [20 cases, mean 2.724285, range 2.4681 to 2.995732, est err 0.086049]
##
## if
## tax <= 437
## lstat > 19.69
## then
## outcome = 6.564293 - 0.186 dis - 2.04 nox - 0.086 ptratio - 0.0246 indus
## - 0.0069 crim - 0.0011 lstat + 0.0006 rad - 2e-05 tax
##
## Rule 1/4: [166 cases, mean 2.997575, range 2.459589 to 3.912023, est err 0.111918]
##
## if
## rm <= 6.242
## lstat <= 19.69
## then
## outcome = 4.031836 - 0.0174 lstat + 0.0121 rad - 0.00047 tax - 0.036 dis
## + 0.00077 black - 0.031 ptratio - 0.42 nox - 0.001 age
##
## Rule 1/5: [175 cases, mean 3.278064, range 2.261763 to 3.912023, est err 0.096538]
##
## if
## rm > 6.242
## lstat <= 19.69
## then
## outcome = 2.599287 - 0.0322 lstat - 0.0243 crim + 0.234 rm + 0.0118 rad
## - 0.00047 tax - 0.028 ptratio - 0.019 dis + 0.0031 indus
## + 0.0002 black - 0.14 nox
##
## Model 2:
##
## Rule 2/1: [58 cases, mean 2.623356, range 1.609438 to 3.912023, est err 0.263714]
##
## if
## dis <= 1.794
## then
## outcome = 6.250381 - 1.492 dis - 0.0416 lstat - 0.018 crim + 0.0025 rad
## - 0.00012 tax - 0.12 nox - 0.005 ptratio
##
## Rule 2/2: [249 cases, mean 2.970238, range 2.014903 to 3.912023, est err 0.109306]
##
## if
## dis > 1.794
## lstat > 6.87
## then
## outcome = 2.967942 + 0.179 rm - 0.00075 tax - 0.0156 lstat - 0.051 dis
## + 0.00105 black + 0.0106 rad - 0.031 ptratio - 0.0021 age
## - 0.26 nox - 0.0037 crim
##
## Rule 2/3: [101 cases, mean 3.425801, range 3.025291 to 3.912023, est err 0.100506]
##
## if
## lstat <= 6.87
## then
## outcome = 3.019528 + 0.1348 crim - 0.087 lstat - 0.00096 tax + 0.188 rm
## + 0.0026 rad - 0.14 nox - 0.007 ptratio - 0.007 dis
## + 6e-05 black + 0.0007 indus
##
## Model 3:
##
## Rule 3/1: [20 cases, mean 2.179363, range 1.609438 to 2.70805, est err 0.382193]
##
## if
## nox > 0.668
## nox <= 0.693
## then
## outcome = 16.322708 - 21.11 nox
##
## Rule 3/2: [13 cases, mean 2.632025, range 1.94591 to 3.314186, est err 0.599304]
##
## if
## nox <= 0.668
## tax > 437
## lstat > 19.69
## then
## outcome = 30.51865 - 0.02955 tax - 14.53 nox + 0.0416 lstat
##
## Rule 3/3: [106 cases, mean 2.686538, range 1.609438 to 3.912023, est err 0.294107]
##
## if
## crim > 2.924
## then
## outcome = 6.433504 - 0.0602 lstat - 0.348 rm - 0.0299 crim - 0.1 nox
## + 0.0013 rad - 0.004 ptratio - 0.004 dis - 4e-05 tax
##
## Rule 3/4: [59 cases, mean 2.702396, range 1.974081 to 3.314186, est err 0.243775]
##
## if
## nox > 0.693
## then
## outcome = 2.679693 - 0.00056 tax - 0.0105 lstat + 0.65 nox + 0.0068 rad
## - 0.019 ptratio - 0.0049 crim - 0.013 dis + 0.0005 age
## + 0.017 rm + 0.0017 indus
##
## Rule 3/5: [20 cases, mean 2.724285, range 2.4681 to 2.995732, est err 0.131856]
##
## if
## tax <= 437
## lstat > 19.69
## then
## outcome = 3.038788 - 0.00084 tax - 0.0009 lstat + 0.0006 rad
##
## Rule 3/6: [166 cases, mean 2.997575, range 2.459589 to 3.912023, est err 0.125327]
##
## if
## rm <= 6.242
## lstat <= 19.69
## then
## outcome = 3.979689 - 0.0224 lstat - 0.81 nox - 0.035 dis - 0.032 ptratio
## + 0.0048 rad + 0.00044 black + 0.00022 tax + 0.035 rm
## - 0.0024 crim + 0.0002 age + 0.0008 indus
##
## Rule 3/7: [300 cases, mean 3.152915, range 1.94591 to 3.912023, est err 0.105423]
##
## if
## crim <= 2.924
## then
## outcome = 1.614013 + 0.351 rm - 0.0146 crim - 0.0092 lstat
## - 0.028 ptratio + 0.0043 rad - 0.0008 age - 0.14 nox
## - 0.007 dis
##
## Model 4:
##
## Rule 4/1: [6 cases, mean 2.479251, range 1.94591 to 2.884801, est err 0.632353]
##
## if
## lstat > 31.99
## then
## outcome = 5.054437 - 0.985 dis - 0.0247 lstat - 3e-05 tax
##
## Rule 4/2: [77 cases, mean 2.654839, range 1.609438 to 3.912023, est err 0.287958]
##
## if
## dis <= 1.9265
## then
## outcome = 5.435889 - 0.941 dis - 0.0601 lstat - 0.00012 tax + 0.015 rm
## - 0.004 ptratio + 7e-05 black - 0.0002 age + 0.0005 rad
##
## Rule 4/3: [329 cases, mean 3.119224, range 2.251292 to 3.912023, est err 0.124897]
##
## if
## dis > 1.9265
## then
## outcome = 2.420191 + 0.194 rm - 0.00074 tax - 0.05 dis - 0.0037 age
## + 0.00112 black - 0.025 ptratio + 0.43 nox - 0.0065 lstat
## + 0.0033 rad + 0.0009 indus
##
## Rule 4/4: [109 cases, mean 3.416693, range 3.025291 to 3.912023, est err 0.120124]
##
## if
## lstat <= 7.22
## then
## outcome = 3.861247 + 0.1618 crim - 0.0862 lstat - 0.00141 tax + 0.129 rm
## - 0.027 ptratio + 0.0016 rad - 0.004 dis - 0.04 nox
## + 5e-05 black
##
## Model 5:
##
## Rule 5/1: [18 cases, mean 2.129867, range 1.609438 to 2.631889, est err 0.440910]
##
## if
## nox > 0.668
## nox <= 0.693
## lstat > 19.69
## then
## outcome = 16.282268 - 20.61 nox + 0.006 age - 0.0104 crim - 0.03 dis
## - 0.084 rm - 0.00062 black
##
## Rule 5/2: [20 cases, mean 2.422708, range 1.974081 to 2.879199, est err 0.215955]
##
## if
## nox > 0.693
## lstat > 19.69
## then
## outcome = -3.283216 + 0.475 dis + 0.025 age + 3.78 nox - 0.0033 crim
## - 0.028 rm - 0.00018 black
##
## Rule 5/3: [45 cases, mean 2.465209, range 1.609438 to 3.314186, est err 0.239944]
##
## if
## nox <= 0.693
## lstat > 19.69
## then
## outcome = 7.197637 - 6.4 nox - 0.18 dis - 0.00052 black - 0.0015 crim
## - 0.0015 lstat + 0.0012 rad - 0.003 ptratio - 3e-05 tax
## + 0.006 rm
##
## Rule 5/4: [218 cases, mean 2.865071, range 1.609438 to 3.912023, est err 0.170640]
##
## if
## rm <= 6.242
## then
## outcome = 3.10223 + 0.155 rm - 0.83 nox - 0.0116 crim + 0.0099 rad
## - 0.033 ptratio - 0.0073 lstat + 0.0021 indus + 0.00015 black
## - 0.005 dis - 5e-05 tax
##
## Rule 5/5: [61 cases, mean 2.927301, range 2.261763 to 3.912023, est err 0.242891]
##
## if
## crim > 2.924
## lstat <= 19.69
## then
## outcome = 5.572962 - 0.06 lstat - 0.0423 crim - 0.222 rm + 0.0026 rad
## - 0.14 nox - 0.005 ptratio - 0.004 dis + 0.0002 age
##
## Rule 5/6: [37 cases, mean 2.990551, range 2.459589 to 3.912023, est err 0.235891]
##
## if
## crim > 2.63548
## rm <= 6.242
## lstat <= 19.69
## then
## outcome = 3.954814 - 0.0379 lstat - 0.0261 crim + 0.0186 rad - 0.93 nox
## - 0.032 ptratio + 0.094 rm - 0.021 dis + 0.0012 age
## + 0.0015 indus + 0.00011 black
##
## Rule 5/7: [188 cases, mean 3.223733, range 1.974081 to 3.912023, est err 0.139153]
##
## if
## rm > 6.242
## then
## outcome = 1.213839 + 0.414 rm - 0.022 lstat - 0.02 ptratio - 0.0052 crim
## - 0.35 nox + 0.0023 rad - 0.003 dis
##
## Model 6:
##
## Rule 6/1: [21 cases, mean 2.143673, range 1.609438 to 2.595255, est err 0.370903]
##
## if
## nox > 0.671
## tax > 437
## lstat > 21.52
## then
## outcome = -1.254343 + 7.15 nox + 0.0122 age - 0.0404 lstat - 0.287 rm
## - 0.0137 crim
##
## Rule 6/2: [46 cases, mean 2.401706, range 1.609438 to 2.995732, est err 0.191850]
##
## if
## lstat > 21.52
## then
## outcome = 3.339518 + 0.007 age - 0.001 tax - 0.0118 lstat - 0.0083 crim
## + 0.007 rad - 0.022 dis - 0.059 rm - 0.23 nox - 0.012 ptratio
## + 0.0017 indus + 0.00012 black + 0.0004 zn
##
## Rule 6/3: [11 cases, mean 2.479150, range 1.94591 to 2.884801, est err 0.749938]
##
## if
## nox <= 0.671
## tax > 437
## lstat > 21.52
## then
## outcome = 23.370432 - 0.02706 tax - 0.549 dis - 4.19 nox + 0.0253 lstat
##
## Rule 6/4: [26 cases, mean 2.859216, range 1.974081 to 3.912023, est err 0.435691]
##
## if
## dis <= 1.7455
## lstat <= 21.52
## then
## outcome = 7.354112 - 1.941 dis - 0.079 lstat - 4e-05 tax + 0.0007 rad
##
## Rule 6/5: [375 cases, mean 3.003237, range 1.609438 to 3.912023, est err 0.157153]
##
## if
## tax > 223
## then
## outcome = 3.171563 - 0.0193 lstat - 0.061 dis + 0.00114 black + 0.14 rm
## - 0.00053 tax - 0.003 age - 0.031 ptratio + 0.007 rad
## - 0.1 nox + 0.0008 indus + 0.0002 zn
##
## Rule 6/6: [31 cases, mean 3.368823, range 2.753661 to 3.912023, est err 0.158355]
##
## if
## tax <= 223
## then
## outcome = 5.394435 - 0.00866 tax + 0.0878 rad - 0.0457 lstat - 0.0075 zn
## + 0.006 rm - 0.002 dis
##
## Model 7:
##
## Rule 7/1: [34 cases, mean 2.260617, range 1.609438 to 2.879199, est err 0.227490]
##
## if
## nox > 0.671
## lstat > 19.69
## then
## outcome = -2.038763 + 0.974 dis + 4.14 nox - 0.0051 crim - 0.05 rm
## - 0.00034 black
##
## Rule 7/2: [31 cases, mean 2.662181, range 1.94591 to 3.314186, est err 0.236128]
##
## if
## nox <= 0.671
## lstat > 19.69
## then
## outcome = 4.441839 - 0.0124 age - 0.0108 lstat - 0.0072 crim
## - 0.019 ptratio - 0.34 nox + 0.0043 rad + 0.046 rm
##
## Rule 7/3: [15 cases, mean 2.663082, range 1.94591 to 3.314186, est err 0.345142]
##
## if
## nox <= 0.671
## age > 98.2
## lstat > 19.69
## then
## outcome = -43.731369 + 0.4756 age - 0.00175 black - 0.26 nox
## - 0.0038 crim - 0.038 rm
##
## Rule 7/4: [39 cases, mean 2.743920, range 1.974081 to 3.912023, est err 0.236657]
##
## if
## crim > 2.15505
## rm > 6.242
## then
## outcome = 3.822564 - 0.0543 crim - 0.0438 lstat
##
## Rule 7/5: [218 cases, mean 2.865071, range 1.609438 to 3.912023, est err 0.173544]
##
## if
## rm <= 6.242
## then
## outcome = 3.196826 - 0.0221 crim + 0.0139 rad - 0.0121 lstat - 0.55 nox
## + 0.068 rm - 0.013 ptratio + 0.0003 age
##
## Rule 7/6: [149 cases, mean 3.349322, range 2.70805 to 3.912023, est err 0.117058]
##
## if
## crim <= 2.15505
## rm > 6.242
## then
## outcome = 0.899612 + 0.2675 crim + 0.461 rm - 0.0183 lstat - 0.74 nox
## - 0.0011 age - 0.011 ptratio
##
## Model 8:
##
## Rule 8/1: [47 cases, mean 2.401625, range 1.609438 to 2.995732, est err 0.223461]
##
## if
## lstat > 21.45
## then
## outcome = 3.873849 - 0.00165 tax - 0.0108 lstat + 0.0071 rad - 0.023 dis
## - 0.013 ptratio - 0.2 nox - 0.0021 crim + 0.0005 zn
## + 0.00012 black + 0.0014 indus
##
## Rule 8/2: [25 cases, mean 2.863694, range 1.974081 to 3.912023, est err 0.510346]
##
## if
## dis <= 1.7364
## lstat <= 21.45
## then
## outcome = 9.180471 - 2.236 dis - 0.0797 lstat - 1.75 nox - 0.0166 crim
##
## Rule 8/3: [359 cases, mean 3.113568, range 1.974081 to 3.912023, est err 0.146237]
##
## if
## lstat <= 21.45
## then
## outcome = 3.313137 - 0.07 dis - 0.00064 tax - 0.0138 lstat - 0.0035 age
## + 0.127 rm + 0.001 black + 0.0085 rad - 0.033 ptratio
## + 0.0016 zn
##
## Rule 8/4: [31 cases, mean 3.368823, range 2.753661 to 3.912023, est err 0.152183]
##
## if
## tax <= 223
## then
## outcome = 5.056723 - 0.00503 tax - 0.0403 lstat - 0.035 dis + 0.0073 rad
## - 0.015 ptratio + 0.00034 black - 0.21 nox + 0.031 rm
## - 0.0007 age + 0.0007 zn
##
## Model 9:
##
## Rule 9/1: [18 cases, mean 2.129867, range 1.609438 to 2.631889, est err 0.396747]
##
## if
## nox > 0.668
## nox <= 0.693
## lstat > 18.85
## then
## outcome = 24.301353 - 32.66 nox - 0.0064 lstat - 0.003 crim + 0.029 rm
## - 0.006 ptratio + 0.0003 age
##
## Rule 9/2: [68 cases, mean 2.469106, range 1.609438 to 3.314186, est err 0.228328]
##
## if
## lstat > 18.85
## then
## outcome = 4.288137 - 0.057 ptratio - 0.97 nox - 0.005 lstat
## - 0.0023 crim + 0.023 rm + 0.0002 age
##
## Rule 9/3: [14 cases, mean 2.633036, range 1.94591 to 3.314186, est err 0.426115]
##
## if
## nox <= 0.668
## tax > 437
## lstat > 18.85
## then
## outcome = 19.067475 - 0.0239 tax - 0.06 nox - 0.003 ptratio
##
## Rule 9/4: [79 cases, mean 2.663517, range 1.609438 to 3.912023, est err 0.312721]
##
## if
## dis <= 1.9356
## then
## outcome = 6.821375 - 1.261 dis - 0.0563 lstat - 0.0251 crim - 1.2 nox
##
## Rule 9/5: [59 cases, mean 2.702396, range 1.974081 to 3.314186, est err 0.180473]
##
## if
## nox > 0.693
## then
## outcome = 1.729808 + 1.37 nox - 0.0161 lstat - 0.0075 crim + 0.074 rm
## - 0.015 ptratio + 0.0008 age
##
## Rule 9/6: [27 cases, mean 2.880628, range 2.261763 to 3.295837, est err 0.165462]
##
## if
## crim > 1.19294
## rm > 6.232
## lstat > 4.86
## lstat <= 18.85
## then
## outcome = 3.108915 + 0.192 dis - 0.0472 crim - 0.0311 lstat
##
## Rule 9/7: [306 cases, mean 3.148414, range 2.261763 to 3.912023, est err 0.138951]
##
## if
## dis > 1.9356
## lstat <= 18.85
## then
## outcome = 1.573123 + 0.245 rm - 0.0193 crim + 0.00034 tax - 0.0017 age
## - 0.002 lstat
##
## Rule 9/8: [144 cases, mean 3.335935, range 2.70805 to 3.912023, est err 0.120879]
##
## if
## crim <= 1.19294
## rm > 6.232
## then
## outcome = 0.324908 + 0.478 rm - 0.0267 lstat
##
## Rule 9/9: [5 cases, mean 3.873791, range 3.720862 to 3.912023, est err 0.528464]
##
## if
## crim > 1.19294
## lstat <= 4.86
## then
## outcome = 2.798231 + 0.203 rm - 0.0176 crim - 0.0145 lstat
##
## Model 10:
##
## Rule 10/1: [43 cases, mean 2.401468, range 1.609438 to 2.995732, est err 0.243106]
##
## if
## lstat > 22.6
## then
## outcome = 1.437913 + 0.0193 age - 0.00137 tax - 0.0099 crim
##
## Rule 10/2: [26 cases, mean 2.831766, range 2.116256 to 3.912023, est err 0.213217]
##
## if
## rm <= 6.219
## dis <= 1.8773
## lstat <= 22.6
## then
## outcome = 5.423561 - 1.018 dis - 0.0534 lstat
##
## Rule 10/3: [157 cases, mean 2.955688, range 2.116256 to 3.589059, est err 0.108748]
##
## if
## rm <= 6.219
## dis > 1.8773
## then
## outcome = 3.716226 + 0.00144 black - 0.056 ptratio - 0.0039 age
## - 0.043 dis + 0.58 nox - 0.0083 lstat + 0.0049 rad
## - 0.00023 tax + 0.0004 zn + 0.01 rm
##
## Rule 10/4: [10 cases, mean 3.097390, range 2.753661 to 3.589059, est err 0.498385]
##
## if
## rm <= 6.219
## tax <= 193
## then
## outcome = -15.104434 + 0.1024 tax - 0.0635 lstat
##
## Rule 10/5: [197 cases, mean 3.212314, range 1.974081 to 3.912023, est err 0.128943]
##
## if
## rm > 6.219
## then
## outcome = 3.929695 - 0.0438 lstat + 0.0218 rad - 0.00105 tax - 0.049 dis
## - 0.044 ptratio + 0.133 rm - 0.0119 crim + 0.00029 black
## - 0.19 nox + 0.0006 zn
##
## Model 11:
##
## Rule 11/1: [34 cases, mean 2.260617, range 1.609438 to 2.879199, est err 0.183590]
##
## if
## nox > 0.671
## lstat > 19.69
## then
## outcome = -2.008361 + 0.788 dis + 4.02 nox - 0.0039 crim
##
## Rule 11/2: [21 cases, mean 2.619357, range 1.94591 to 3.314186, est err 0.316650]
##
## if
## indus > 13.92
## nox <= 0.671
## lstat > 19.69
## then
## outcome = 9.921494 - 7.9 nox - 0.1112 indus
##
## Rule 11/3: [10 cases, mean 2.752113, range 2.541602 to 2.995732, est err 0.134138]
##
## if
## indus <= 13.92
## lstat > 19.69
## then
## outcome = 1.437159 - 0.1779 crim + 0.1662 indus
##
## Rule 11/4: [34 cases, mean 2.846545, range 2.140066 to 3.314186, est err 0.146516]
##
## if
## crim > 2.63548
## crim <= 8.20058
## rm <= 6.242
## then
## outcome = 3.289858 - 0.0267 lstat - 0.0146 crim + 0.0049 rad - 0.35 nox
## + 0.046 rm - 0.008 dis
##
## Rule 11/5: [23 cases, mean 2.869114, range 2.261763 to 3.912023, est err 0.246041]
##
## if
## crim > 8.20058
## lstat <= 19.69
## then
## outcome = 5.719053 - 0.1519 lstat - 0.0418 crim
##
## Rule 11/6: [49 cases, mean 3.140941, range 2.261763 to 3.912023, est err 0.178064]
##
## if
## nox > 0.573
## rm > 6.242
## lstat <= 19.69
## then
## outcome = 4.772733 - 0.0507 lstat - 0.0312 crim - 1.68 nox + 0.033 rm
##
## Rule 11/7: [278 cases, mean 3.188463, range 2.476538 to 3.912023, est err 0.106214]
##
## if
## crim <= 2.63548
## lstat <= 19.69
## then
## outcome = 0.798432 + 0.405 rm - 0.0015 age - 0.0042 crim - 0.0029 lstat
## + 0.0019 rad - 0.14 nox - 0.003 dis
##
## Rule 11/8: [126 cases, mean 3.331390, range 2.80336 to 3.912023, est err 0.095974]
##
## if
## nox <= 0.573
## rm > 6.242
## lstat <= 19.69
## then
## outcome = 0.263302 + 0.469 rm - 0.0117 crim - 0.0029 age
##
## Model 12:
##
## Rule 12/1: [6 cases, mean 2.479251, range 1.94591 to 2.884801, est err 0.178487]
##
## if
## lstat > 31.99
## then
## outcome = 7.526551 - 0.821 dis - 3.56 nox - 0.0344 lstat - 0.055 rm
## - 0.0033 crim - 0.002 ptratio
##
## Rule 12/2: [18 cases, mean 2.506902, range 1.974081 to 3.314186, est err 0.328796]
##
## if
## nox > 0.693
## dis <= 1.9356
## ptratio > 17.3
## then
## outcome = 4.387616 - 0.657 dis + 0.0136 age - 0.0506 lstat - 0.153 rm
## - 0.0006 crim
##
## Rule 12/3: [13 cases, mean 2.516069, range 1.84055 to 3.328627, est err 0.282177]
##
## if
## nox <= 0.693
## dis <= 1.9356
## ptratio > 17.3
## black <= 344.91
## lstat <= 31.99
## then
## outcome = 6.570485 - 0.0668 lstat - 0.221 dis - 3.42 nox - 9e-05 tax
## + 0.0017 rad - 0.004 ptratio - 0.0007 crim
##
## Rule 12/4: [36 cases, mean 2.528168, range 1.609438 to 3.912023, est err 0.317551]
##
## if
## dis <= 1.9356
## ptratio > 17.3
## black > 344.91
## lstat > 5.12
## lstat <= 31.99
## then
## outcome = 11.617841 - 0.01824 black - 0.0561 lstat - 0.106 dis
## - 1.03 nox - 0.0114 crim
##
## Rule 12/5: [73 cases, mean 3.118248, range 2.4681 to 3.912023, est err 0.134433]
##
## if
## ptratio <= 17.3
## lstat > 5.12
## then
## outcome = 5.161931 - 0.00162 tax - 0.085 ptratio - 0.075 dis
## - 0.0137 lstat - 0.75 nox + 0.00079 black + 0.069 rm
##
## Rule 12/6: [327 cases, mean 3.119968, range 2.251292 to 3.912023, est err 0.122329]
##
## if
## dis > 1.9356
## then
## outcome = 3.880439 - 0.064 ptratio - 0.05 dis - 0.0143 lstat + 0.12 rm
## + 0.00095 black - 0.00043 tax - 0.0025 age + 0.0074 rad
## - 0.0042 crim - 0.17 nox
##
## Rule 12/7: [37 cases, mean 3.527849, range 3.113515 to 3.912023, est err 0.104784]
##
## if
## age <= 64.7
## lstat <= 5.12
## then
## outcome = 2.320326 + 0.006 age + 0.211 rm - 0.0109 lstat + 0.0048 rad
## - 0.00023 tax - 0.014 ptratio - 0.013 dis - 0.13 nox
## - 0.0019 crim + 0.0001 black
##
## Rule 12/8: [16 cases, mean 3.704734, range 3.12676 to 3.912023, est err 0.208369]
##
## if
## age > 64.7
## lstat <= 5.12
## then
## outcome = 2.06198 + 0.0194 age - 0.0154 lstat + 0.024 rm - 0.006 ptratio
##
## Model 13:
##
## Rule 13/1: [79 cases, mean 2.569983, range 1.609438 to 3.314186, est err 0.173621]
##
## if
## nox > 0.668
## then
## outcome = 3.423252 - 0.0345 lstat - 0.0131 crim
##
## Rule 13/2: [64 cases, mean 2.931414, range 2.459589 to 3.912023, est err 0.173509]
##
## if
## crim > 0.62356
## nox <= 0.668
## lstat > 7.22
## then
## outcome = 2.060714 + 2.18 nox - 0.0293 lstat - 0.0047 crim + 0.022 rm
## - 8e-05 tax + 0.0015 rad
##
## Rule 13/3: [252 cases, mean 3.179739, range 1.94591 to 3.912023, est err 0.116676]
##
## if
## crim <= 0.62356
## then
## outcome = 1.410974 + 0.4571 crim + 0.296 rm - 0.00052 tax - 0.0018 age
##
## Rule 13/4: [16 cases, mean 3.294176, range 2.753661 to 3.912023, est err 0.190196]
##
## if
## tax <= 193
## then
## outcome = -15.755182 + 0.10158 tax + 0.0276 crim - 0.0255 lstat
## + 0.019 rm
##
## Rule 13/5: [109 cases, mean 3.416693, range 3.025291 to 3.912023, est err 0.127186]
##
## if
## lstat <= 7.22
## then
## outcome = 2.588846 + 0.0523 crim - 0.036 lstat + 0.288 rm
## - 0.00218 black - 0.008 indus - 0.00024 tax + 0.0043 rad
##
## Model 14:
##
## Rule 14/1: [74 cases, mean 2.572835, range 1.609438 to 3.314186, est err 0.289223]
##
## if
## nox > 0.671
## then
## outcome = -2.310782 + 1.325 dis + 5.89 nox - 0.352 rm - 4e-05 tax
## - 0.0007 lstat + 0.0005 rad
##
## Rule 14/2: [31 cases, mean 2.662181, range 1.94591 to 3.314186, est err 0.196852]
##
## if
## nox <= 0.671
## lstat > 19.69
## then
## outcome = 3.93475 - 0.133 dis - 0.00115 tax - 0.0247 indus
##
## Rule 14/3: [84 cases, mean 2.777045, range 1.84055 to 3.912023, est err 0.227214]
##
## if
## black <= 368.57
## then
## outcome = 3.645966 - 0.0444 lstat + 0.00084 black + 0.0057 rad
## - 0.00024 tax - 0.017 ptratio - 0.017 dis - 0.0031 crim
## - 0.19 nox + 0.018 rm + 0.0004 zn
##
## Rule 14/4: [32 cases, mean 2.858145, range 2.476538 to 3.173878, est err 0.175254]
##
## if
## dis > 1.4608
## ptratio > 20.9
## then
## outcome = 2.905128 - 0.0284 lstat + 0.0016 black + 0.0088 rad
## - 0.0095 crim - 0.029 dis + 0.078 rm - 0.023 ptratio
## - 0.00025 tax - 0.24 nox - 0.0007 age + 0.0006 zn
##
## Rule 14/5: [387 cases, mean 3.044331, range 1.609438 to 3.912023, est err 0.139429]
##
## if
## dis > 1.4608
## then
## outcome = 2.89731 + 0.229 rm - 0.055 dis - 0.043 ptratio - 0.0115 crim
## - 0.0113 lstat + 0.0092 rad - 0.0023 age + 0.00071 black
## - 0.00029 tax - 0.27 nox + 0.0009 zn
##
## Rule 14/6: [6 cases, mean 3.413466, range 2.70805 to 3.912023, est err 0.970739]
##
## if
## dis <= 1.4608
## lstat <= 19.69
## then
## outcome = 13.134207 - 6.177 dis - 0.152 lstat + 0.0016 rad
## - 0.004 ptratio + 9e-05 black - 0.001 crim - 4e-05 tax
## - 0.05 nox + 0.008 rm
##
## Model 15:
##
## Rule 15/1: [8 cases, mean 2.033794, range 1.84055 to 2.174752, est err 0.141831]
##
## if
## nox > 0.597
## dis <= 1.8226
## black <= 347.88
## lstat > 19.69
## then
## outcome = 1.961554
##
## Rule 15/2: [31 cases, mean 2.378516, range 1.609438 to 2.879199, est err 0.186718]
##
## if
## dis <= 1.8226
## black > 347.88
## lstat > 19.69
## then
## outcome = 7.828835 - 0.867 dis - 0.01039 black - 0.0211 crim + 0.002 age
##
## Rule 15/3: [9 cases, mean 2.404431, range 2.116256 to 2.595255, est err 0.159522]
##
## if
## nox > 0.597
## dis > 1.8226
## lstat > 19.69
## then
## outcome = -0.585236 + 1.649 dis - 0.0046 lstat + 0.0028 rad
## - 0.00013 tax - 0.0027 crim - 0.13 nox - 0.004 ptratio
## + 0.0003 age + 0.008 rm + 0.0007 indus
##
## Rule 15/4: [18 cases, mean 2.805445, range 2.541602 to 3.314186, est err 0.221096]
##
## if
## nox <= 0.597
## lstat > 19.69
## then
## outcome = 2.955754
##
## Rule 15/5: [166 cases, mean 2.997575, range 2.459589 to 3.912023, est err 0.119132]
##
## if
## rm <= 6.242
## lstat <= 19.69
## then
## outcome = 3.386543 - 0.0137 lstat + 0.006 rad - 0.00028 tax
## - 0.0036 crim - 0.23 nox - 0.009 ptratio + 0.024 rm
## - 0.0005 age - 0.006 dis + 0.0015 indus + 5e-05 black
##
## Rule 15/6: [18 cases, mean 3.015990, range 2.541602 to 3.912023, est err 0.330114]
##
## if
## rm <= 6.242
## dis <= 1.8773
## lstat <= 19.69
## then
## outcome = 6.587686 - 1.091 dis - 0.0375 lstat - 0.221 rm + 0.0001 black
## + 0.0009 rad - 4e-05 tax - 0.0005 crim
##
## Rule 15/7: [175 cases, mean 3.278064, range 2.261763 to 3.912023, est err 0.107365]
##
## if
## rm > 6.242
## lstat <= 19.69
## then
## outcome = 2.272939 - 0.0445 lstat + 0.221 rm - 0.0172 crim + 0.0024 rad
## - 0.00011 tax - 0.09 nox - 0.004 ptratio + 0.0003 age
## - 0.002 dis + 0.0006 indus
##
## Rule 15/8: [121 cases, mean 3.372921, range 2.70805 to 3.912023, est err 0.087331]
##
## if
## rm > 6.242
## tax <= 370
## then
## outcome = 1.142206 - 0.00176 tax + 0.41 rm - 0.0067 lstat - 0.0017 age
## - 0.0048 crim
##
## Model 16:
##
## Rule 16/1: [20 cases, mean 2.179363, range 1.609438 to 2.70805, est err 0.221106]
##
## if
## nox > 0.668
## nox <= 0.693
## then
## outcome = 16.806606 - 20.43 nox - 0.031 lstat
##
## Rule 16/2: [59 cases, mean 2.702396, range 1.974081 to 3.314186, est err 0.124736]
##
## if
## nox > 0.693
## then
## outcome = 1.474933 + 0.258 dis - 0.0288 lstat + 1.42 nox + 0.00088 black
## + 0.001 rad - 4e-05 tax - 0.003 ptratio - 0.0006 crim
##
## Rule 16/3: [75 cases, mean 3.017661, range 2.459589 to 3.912023, est err 0.215680]
##
## if
## crim > 0.62356
## nox <= 0.668
## then
## outcome = 1.110064 + 2.55 nox - 0.0388 lstat + 0.227 rm - 0.0026 age
## + 0.0048 rad - 0.00019 tax - 0.015 dis - 0.014 ptratio
## - 0.003 crim + 0.00013 black + 0.0006 indus
##
## Rule 16/4: [12 cases, mean 3.036463, range 2.476538 to 3.912023, est err 0.719708]
##
## if
## nox <= 0.668
## dis <= 1.5539
## lstat > 5.12
## then
## outcome = 20.274549 - 3.374 dis - 17.41 nox - 0.0445 crim - 0.0417 lstat
## + 0.0005 rad
##
## Rule 16/5: [204 cases, mean 3.092436, range 1.94591 to 3.912023, est err 0.101454]
##
## if
## crim <= 0.62356
## lstat > 5.12
## then
## outcome = 2.893332 + 0.4591 crim + 0.212 rm + 0.0171 rad - 0.065 dis
## - 0.00079 tax - 0.0045 age + 0.0023 zn - 0.021 ptratio
## - 0.0058 indus - 0.002 lstat - 0.06 nox
##
## Rule 16/6: [12 cases, mean 3.178251, range 2.753661 to 3.683867, est err 0.240444]
##
## if
## tax <= 193
## lstat > 5.12
## then
## outcome = -21.333651 + 0.09196 tax + 0.01863 black + 0.0087 crim
##
## Rule 16/7: [41 cases, mean 3.509144, range 3.113515 to 3.912023, est err 0.072803]
##
## if
## dis > 3.1992
## lstat <= 5.12
## then
## outcome = 1.453328 - 0.5587 crim + 0.343 rm - 0.0046 lstat
## - 0.012 ptratio + 0.0029 rad - 0.009 dis - 0.00011 tax
## - 0.15 nox + 9e-05 black + 0.0008 indus
##
## Rule 16/8: [12 cases, mean 3.827604, range 3.616309 to 3.912023, est err 0.201812]
##
## if
## dis <= 3.1992
## lstat <= 5.12
## then
## outcome = 3.807125 + 0.0574 crim - 0.158 dis + 0.078 rm - 0.01 ptratio
##
## Model 17:
##
## Rule 17/1: [34 cases, mean 2.318851, range 1.609438 to 2.879199, est err 0.227715]
##
## if
## nox > 0.597
## dis <= 1.794
## lstat > 18.85
## then
## outcome = 4.513711 - 1.2 dis - 0.0183 crim - 0.04 nox - 0.002 ptratio
##
## Rule 17/2: [14 cases, mean 2.329613, range 2.014903 to 2.595255, est err 0.143441]
##
## if
## nox > 0.597
## dis > 1.794
## lstat > 18.85
## then
## outcome = -1.333761 + 1.884 dis
##
## Rule 17/3: [20 cases, mean 2.822186, range 2.541602 to 3.314186, est err 0.216179]
##
## if
## nox <= 0.597
## lstat > 18.85
## then
## outcome = 2.919475
##
## Rule 17/4: [165 cases, mean 2.995745, range 2.459589 to 3.912023, est err 0.113912]
##
## if
## rm <= 6.242
## lstat <= 18.85
## then
## outcome = 3.082837 - 0.026 lstat + 0.00081 black - 0.25 nox + 0.0033 rad
## + 0.0041 indus + 0.035 rm - 0.009 ptratio - 0.009 dis
## + 0.0005 age - 8e-05 tax
##
## Rule 17/5: [173 cases, mean 3.285839, range 2.261763 to 3.912023, est err 0.102692]
##
## if
## rm > 6.242
## lstat <= 18.85
## then
## outcome = 1.98737 - 0.0363 lstat + 0.258 rm - 0.018 crim + 0.0027 rad
## - 0.2 nox - 0.007 ptratio - 0.007 dis + 0.00016 black
## - 7e-05 tax + 0.0004 age
##
## Model 18:
##
## Rule 18/1: [20 cases, mean 2.179363, range 1.609438 to 2.70805, est err 0.242433]
##
## if
## nox > 0.668
## nox <= 0.693
## then
## outcome = 17.668555 - 21.94 nox - 0.0273 lstat + 0.009 dis
##
## Rule 18/2: [79 cases, mean 2.569983, range 1.609438 to 3.314186, est err 0.188819]
##
## if
## nox > 0.668
## then
## outcome = 3.561386 - 0.0377 lstat + 0.042 dis - 0.024 ptratio + 0.41 nox
## - 0.0046 crim
##
## Rule 18/3: [29 cases, mean 2.817167, range 2.476538 to 3.135494, est err 0.212865]
##
## if
## ptratio > 20.9
## lstat > 6.87
## then
## outcome = -94.691687 + 4.755 ptratio - 6.87 nox - 0.0133 age + 0.394 rm
## - 0.0023 lstat - 0.005 dis - 0.0007 crim
##
## Rule 18/4: [22 cases, mean 2.843088, range 1.94591 to 3.912023, est err 0.462381]
##
## if
## nox <= 0.668
## dis <= 1.8773
## lstat > 6.87
## then
## outcome = 21.105293 - 3.717 dis - 17.62 nox - 0.0527 lstat - 0.0356 crim
## + 0.0013 rad - 6e-05 tax - 0.003 ptratio
##
## Rule 18/5: [327 cases, mean 3.142565, range 1.94591 to 3.912023, est err 0.121900]
##
## if
## nox <= 0.668
## then
## outcome = 2.344786 + 0.259 rm - 0.051 dis - 0.00059 tax - 0.0034 age
## - 0.032 ptratio + 0.00053 black + 0.4 nox - 0.0061 lstat
## + 0.0043 rad - 0.0025 crim + 0.0003 zn
##
## Rule 18/6: [101 cases, mean 3.425801, range 3.025291 to 3.912023, est err 0.114583]
##
## if
## lstat <= 6.87
## then
## outcome = 4.052592 + 0.2287 crim - 0.0352 lstat - 0.00118 tax + 0.211 rm
## - 1.26 nox - 0.046 ptratio - 0.04 dis + 0.0073 rad
## - 0.0011 age + 0.0005 zn
##
## Model 19:
##
## Rule 19/1: [30 cases, mean 2.282360, range 1.609438 to 2.879199, est err 0.228992]
##
## if
## nox > 0.679
## lstat > 18.85
## then
## outcome = -1.319782 + 0.0194 age + 2.68 nox - 0.0171 crim
##
## Rule 19/2: [38 cases, mean 2.616538, range 1.94591 to 3.314186, est err 0.219314]
##
## if
## nox <= 0.679
## lstat > 18.85
## then
## outcome = 4.550871 - 2.97 nox - 0.0061 lstat + 0.0037 rad - 0.0026 crim
## - 0.00012 tax - 0.007 ptratio + 0.0004 age - 0.005 dis
## + 0.00011 black + 0.01 rm
##
## Rule 19/3: [165 cases, mean 2.995745, range 2.459589 to 3.912023, est err 0.129057]
##
## if
## rm <= 6.242
## lstat <= 18.85
## then
## outcome = 3.375769 - 0.0285 lstat - 0.87 nox + 0.00094 black - 0.027 dis
## + 0.0063 rad + 0.045 rm - 0.012 ptratio + 0.00014 tax
## + 0.0008 age - 0.0023 crim
##
## Rule 19/4: [188 cases, mean 3.223733, range 1.974081 to 3.912023, est err 0.109300]
##
## if
## rm > 6.242
## then
## outcome = 1.968328 - 0.0348 lstat + 0.266 rm - 0.0189 crim - 0.37 nox
## + 0.0048 rad + 0.00037 black - 0.01 ptratio - 0.009 dis
## + 0.0006 age - 4e-05 tax
##
## Model 20:
##
## Rule 20/1: [14 cases, mean 2.510123, range 1.84055 to 3.328627, est err 0.380409]
##
## if
## nox <= 0.693
## dis <= 1.9301
## ptratio > 17.3
## black <= 344.91
## then
## outcome = -135.599229 + 7.233 ptratio - 0.822 dis - 8.84 nox
## - 0.0393 lstat - 0.0028 crim
##
## Rule 20/2: [5 cases, mean 2.549455, range 1.94591 to 2.884801, est err 0.569431]
##
## if
## lstat > 34.02
## then
## outcome = 2.929076
##
## Rule 20/3: [24 cases, mean 2.597490, range 1.609438 to 3.912023, est err 0.374902]
##
## if
## nox <= 0.693
## dis <= 1.9301
## ptratio > 17.3
## black > 344.91
## lstat <= 34.02
## then
## outcome = 18.340548 - 0.881 dis - 0.02007 black - 7.65 nox
## - 0.0826 lstat
##
## Rule 20/4: [59 cases, mean 2.702396, range 1.974081 to 3.314186, est err 0.223272]
##
## if
## nox > 0.693
## then
## outcome = 4.917094 - 0.0438 lstat - 0.248 rm
##
## Rule 20/5: [401 cases, mean 3.037157, range 1.609438 to 3.912023, est err 0.160315]
##
## if
## lstat <= 34.02
## then
## outcome = 2.664977 + 0.283 rm - 0.0201 lstat - 0.0007 tax
## - 0.041 ptratio - 0.033 dis - 0.0008 crim - 0.05 nox
##
## Rule 20/6: [328 cases, mean 3.117767, range 2.251292 to 3.912023, est err 0.111418]
##
## if
## dis > 1.9301
## then
## outcome = 2.134041 + 0.259 rm - 0.0185 crim - 0.0051 age - 0.05 dis
## + 0.00087 black - 0.024 ptratio - 0.0021 lstat
##
## Rule 20/7: [64 cases, mean 3.209523, range 2.476538 to 3.912023, est err 0.136086]
##
## if
## dis > 1.9301
## tax <= 273
## ptratio > 17.3
## then
## outcome = 5.137233 - 1.065 crim - 0.0062 tax + 0.311 rm - 0.099 ptratio
## - 0.0048 age - 0.061 dis
##
## Model 21:
##
## Rule 21/1: [46 cases, mean 2.341941, range 1.609438 to 2.879199, est err 0.217497]
##
## if
## crim > 6.80117
## nox > 0.668
## then
## outcome = 1.525373 + 0.349 dis + 0.0178 age - 0.017 crim - 0.0177 lstat
## - 0.75 nox - 0.052 rm + 0.0028 rad - 0.0001 tax
## - 0.003 ptratio
##
## Rule 21/2: [23 cases, mean 2.919930, range 2.459589 to 3.912023, est err 0.364839]
##
## if
## crim > 6.80117
## nox <= 0.668
## then
## outcome = 4.670873 - 0.0379 lstat - 0.0193 crim + 0.0173 rad
## - 0.00076 tax - 0.46 nox - 0.021 dis - 0.032 rm
##
## Rule 21/3: [220 cases, mean 2.985976, range 1.94591 to 3.589059, est err 0.117247]
##
## if
## crim <= 6.80117
## rm <= 6.438
## then
## outcome = 3.170103 - 0.0398 crim + 0.0332 rad - 0.0009 tax
## - 0.0168 lstat + 0.00041 black - 0.015 dis + 0.024 rm
## - 0.0018 indus
##
## Rule 21/4: [117 cases, mean 3.408930, range 2.646175 to 3.912023, est err 0.148148]
##
## if
## crim <= 6.80117
## rm > 6.438
## then
## outcome = 1.465444 - 0.0891 crim + 0.0351 rad - 0.0384 lstat + 0.359 rm
## - 0.00097 tax - 0.046 dis
##
## Rule 21/5: [101 cases, mean 3.425801, range 3.025291 to 3.912023, est err 0.125720]
##
## if
## lstat <= 6.87
## then
## outcome = 3.349149 + 0.1627 crim - 0.0906 lstat - 1.73 nox + 0.217 rm
## - 0.00086 tax + 0.0023 age + 0.0005 rad
##
## Model 22:
##
## Rule 22/1: [21 cases, mean 2.429481, range 1.974081 to 2.879199, est err 0.145930]
##
## if
## nox > 0.693
## lstat > 18.85
## then
## outcome = 2.092093 + 1.15 nox - 0.0099 lstat - 0.024 ptratio + 0.052 rm
## - 0.017 dis - 0.00014 tax + 0.00024 black - 0.0005 age
## + 0.0015 indus
##
## Rule 22/2: [6 cases, mean 2.479251, range 1.94591 to 2.884801, est err 0.511004]
##
## if
## lstat > 31.99
## then
## outcome = 8.421964 - 8.58 nox
##
## Rule 22/3: [42 cases, mean 2.479354, range 1.609438 to 3.314186, est err 0.251720]
##
## if
## nox <= 0.693
## lstat > 18.85
## lstat <= 31.99
## then
## outcome = 6.242308 - 3.45 nox - 0.0527 lstat - 0.0014 tax + 0.0229 rad
## - 0.009 ptratio + 0.02 rm - 0.006 dis + 9e-05 black
## - 0.0002 age
##
## Rule 22/4: [29 cases, mean 2.957933, range 2.261763 to 3.912023, est err 0.331720]
##
## if
## dis <= 2.0788
## ptratio > 16.9
## lstat <= 18.85
## then
## outcome = 5.041244 - 1.546 dis + 0.00189 black
##
## Rule 22/5: [308 cases, mean 3.131285, range 2.459589 to 3.912023, est err 0.115100]
##
## if
## dis > 2.0788
## then
## outcome = 1.686821 + 0.302 rm - 0.0234 crim - 0.0054 age - 0.034 dis
## + 0.00056 black - 0.012 ptratio - 0.0015 lstat
##
## Rule 22/6: [66 cases, mean 3.205570, range 2.476538 to 3.912023, est err 0.141456]
##
## if
## tax <= 273
## ptratio > 16.9
## then
## outcome = 4.978449 - 0.00465 tax - 0.127 ptratio + 0.319 rm - 0.0039 age
## - 0.047 dis - 0.001 lstat
##
## Rule 22/7: [96 cases, mean 3.242941, range 2.4681 to 3.912023, est err 0.113284]
##
## if
## ptratio <= 16.9
## then
## outcome = 4.031869 + 0.272 rm - 0.089 ptratio - 1.47 nox - 0.078 dis
## + 0.0134 indus - 0.0026 age - 0.006 lstat + 0.00021 black
##
## Model 23:
##
## Rule 23/1: [79 cases, mean 2.569983, range 1.609438 to 3.314186, est err 0.186297]
##
## if
## nox > 0.668
## then
## outcome = 3.564692 - 0.0409 lstat - 0.0206 crim
##
## Rule 23/2: [327 cases, mean 3.142565, range 1.94591 to 3.912023, est err 0.137654]
##
## if
## nox <= 0.668
## then
## outcome = 3.788372 + 0.0292 rad - 0.00121 tax - 0.0221 lstat - 0.044 dis
## + 0.096 rm - 0.029 ptratio - 0.0035 crim - 0.15 nox
##
## Rule 23/3: [101 cases, mean 3.425801, range 3.025291 to 3.912023, est err 0.121491]
##
## if
## lstat <= 6.87
## then
## outcome = 3.43205 + 0.1998 crim - 0.0751 lstat - 0.00133 tax - 1.72 nox
## + 0.24 rm + 0.0034 age - 0.015 ptratio
##
## Model 24:
##
## Rule 24/1: [21 cases, mean 2.429481, range 1.974081 to 2.879199, est err 0.260277]
##
## if
## nox > 0.693
## lstat > 18.85
## then
## outcome = -2.123439 + 0.0232 age + 3.3 nox
##
## Rule 24/2: [47 cases, mean 2.486811, range 1.609438 to 3.314186, est err 0.320835]
##
## if
## nox <= 0.693
## lstat > 18.85
## then
## outcome = 6.426494 - 4.57 nox - 0.0519 lstat + 0.01 rm - 0.003 ptratio
## + 7e-05 black
##
## Rule 24/3: [5 cases, mean 2.549455, range 1.94591 to 2.884801, est err 0.821592]
##
## if
## nox <= 0.693
## lstat > 31.99
## then
## outcome = 6.255566 - 5.16 nox
##
## Rule 24/4: [163 cases, mean 2.993470, range 2.459589 to 3.912023, est err 0.120067]
##
## if
## rm <= 6.232
## lstat <= 18.85
## then
## outcome = 2.54868 + 0.00124 black - 0.011 lstat + 0.104 rm - 0.0022 age
## - 0.018 ptratio - 0.013 dis
##
## Rule 24/5: [190 cases, mean 3.223285, range 1.974081 to 3.912023, est err 0.119355]
##
## if
## rm > 6.232
## then
## outcome = 1.506157 + 0.314 rm - 0.0233 lstat - 0.0152 crim
## + 0.00104 black - 0.0025 age - 0.026 dis - 0.019 ptratio
## + 0.00015 tax
##
## Model 25:
##
## Rule 25/1: [74 cases, mean 2.572835, range 1.609438 to 3.314186, est err 0.262377]
##
## if
## nox > 0.671
## then
## outcome = 0.413595 + 0.688 dis + 1.39 nox + 0.0069 rad - 0.0073 lstat
## - 0.0062 crim - 0.00028 tax - 0.011 ptratio + 0.0005 age
## + 0.0017 indus + 0.0004 zn
##
## Rule 25/2: [18 cases, mean 2.624218, range 1.94591 to 3.314186, est err 0.387033]
##
## if
## nox <= 0.671
## age > 97.7
## lstat > 19.69
## then
## outcome = -36.481467 + 0.3994 age + 0.0033 rad - 0.24 nox - 0.0035 lstat
## - 0.00014 tax - 0.011 dis - 0.0022 crim - 0.005 ptratio
## + 0.0008 indus + 0.0002 zn
##
## Rule 25/3: [77 cases, mean 2.654839, range 1.609438 to 3.912023, est err 0.381246]
##
## if
## dis <= 1.9265
## then
## outcome = 7.580941 - 1.842 dis - 0.0752 lstat - 0.0219 crim + 0.0036 rad
## - 0.00014 tax - 0.15 nox - 0.006 ptratio + 0.0002 age
## + 0.0008 indus + 0.0002 zn
##
## Rule 25/4: [13 cases, mean 2.714746, range 2.484907 to 2.980619, est err 0.306872]
##
## if
## nox <= 0.671
## age <= 97.7
## lstat > 19.69
## then
## outcome = 4.872497 - 0.0179 age + 0.0283 indus - 0.64 nox - 0.03 dis
## + 0.0054 rad - 0.0057 lstat - 0.0051 crim - 0.00022 tax
## - 0.009 ptratio + 0.0003 zn
##
## Rule 25/5: [218 cases, mean 2.865071, range 1.609438 to 3.912023, est err 0.181319]
##
## if
## rm <= 6.242
## then
## outcome = 3.988047 + 0.02 rad - 0.00095 tax - 0.0128 crim
## - 0.041 ptratio - 0.041 dis - 0.0104 lstat + 0.077 rm
## - 0.0014 age - 0.06 nox
##
## Rule 25/6: [175 cases, mean 3.278064, range 2.261763 to 3.912023, est err 0.105931]
##
## if
## rm > 6.242
## lstat <= 19.69
## then
## outcome = 2.266591 - 0.0407 crim + 0.281 rm - 0.0226 lstat + 0.0182 rad
## - 0.00088 tax - 0.031 ptratio + 0.0076 indus - 0.008 dis
## - 0.06 nox
##
## Rule 25/7: [16 cases, mean 3.587358, range 3.346389 to 3.912023, est err 0.193464]
##
## if
## rm > 6.242
## tax <= 222
## then
## outcome = 2.914149 - 0.0041 tax + 0.25 rm - 0.0075 crim + 0.0043 rad
## - 0.0044 lstat - 0.006 ptratio + 0.0012 indus - 0.003 dis
##
## Model 26:
##
## Rule 26/1: [40 cases, mean 2.454679, range 1.609438 to 3.314186, est err 0.295650]
##
## if
## nox <= 0.693
## lstat > 19.69
## lstat <= 31.99
## then
## outcome = 7.641132 - 5.7 nox - 0.065 lstat - 0.00092 black - 0.002 dis
##
## Rule 26/2: [6 cases, mean 2.479251, range 1.94591 to 2.884801, est err 0.446957]
##
## if
## lstat > 31.99
## then
## outcome = 8.648177 - 9.02 nox
##
## Rule 26/3: [59 cases, mean 2.702396, range 1.974081 to 3.314186, est err 0.214631]
##
## if
## nox > 0.693
## then
## outcome = -2.784133 + 0.588 dis + 0.0199 age + 3.2 nox - 0.0024 lstat
## + 0.007 rm - 0.0006 crim - 0.002 ptratio
##
## Rule 26/4: [37 cases, mean 2.871340, range 1.94591 to 3.720862, est err 0.223286]
##
## if
## nox <= 0.609
## black <= 368.57
## then
## outcome = 2.073327 + 0.358 rm - 0.069 ptratio - 0.0147 lstat
## + 0.00016 black
##
## Rule 26/5: [30 cases, mean 2.908854, range 2.261763 to 3.912023, est err 0.233504]
##
## if
## nox > 0.609
## black <= 368.57
## lstat <= 19.69
## then
## outcome = 5.65424 - 0.1318 lstat - 1.18 nox + 0.00021 black + 0.007 rm
## - 0.002 dis
##
## Rule 26/6: [129 cases, mean 3.010442, range 2.476538 to 3.589059, est err 0.090948]
##
## if
## rm <= 6.232
## black > 368.57
## lstat <= 19.69
## then
## outcome = 1.881426 + 0.212 rm - 0.0023 age - 0.0014 lstat + 5e-05 black
##
## Rule 26/7: [64 cases, mean 3.027922, range 1.974081 to 3.912023, est err 0.177746]
##
## if
## crim > 0.52693
## rm > 6.232
## then
## outcome = 3.597128 - 0.0487 lstat - 0.0276 crim - 0.074 dis + 0.083 rm
## + 0.00034 black + 0.001 zn - 0.01 ptratio + 0.00011 tax
## - 0.07 nox - 0.0002 age
##
## Rule 26/8: [190 cases, mean 3.223285, range 1.974081 to 3.912023, est err 0.134256]
##
## if
## rm > 6.232
## then
## outcome = 1.395837 + 0.339 rm - 0.0298 lstat - 0.0156 crim - 0.0021 age
## - 0.021 dis + 0.00021 tax + 0.0008 zn
##
## Model 27:
##
## Rule 27/1: [38 cases, mean 2.315942, range 1.609438 to 3.144152, est err 0.215846]
##
## if
## nox > 0.671
## lstat > 18.66
## then
## outcome = -1.58078 + 1.061 dis + 2.62 nox + 0.00127 black - 0.0085 crim
## + 0.0015 rad - 0.0015 lstat - 6e-05 tax - 0.003 ptratio
##
## Rule 27/2: [36 cases, mean 2.689429, range 1.94591 to 3.314186, est err 0.230513]
##
## if
## nox <= 0.671
## lstat > 18.66
## then
## outcome = 5.013018 + 0.024 rad - 0.0235 lstat - 0.00098 tax - 0.055 dis
## - 0.047 ptratio - 0.0127 crim - 0.85 nox + 0.00034 black
## + 0.0009 age
##
## Rule 27/3: [251 cases, mean 3.030730, range 2.261763 to 3.912023, est err 0.116009]
##
## if
## rm <= 6.674
## lstat <= 18.66
## then
## outcome = 4.808848 + 0.0221 rad - 0.0255 lstat - 0.00102 tax - 0.057 dis
## - 0.035 ptratio - 0.64 nox + 0.00082 black - 0.06 rm
## - 0.0037 crim + 0.0003 zn + 0.0002 age
##
## Rule 27/4: [81 cases, mean 3.519863, range 2.70805 to 3.912023, est err 0.141415]
##
## if
## rm > 6.674
## lstat <= 18.66
## then
## outcome = 4.326211 - 0.0295 lstat - 0.00111 tax + 0.017 rad
## - 0.049 ptratio - 0.044 dis + 0.091 rm - 0.0078 crim
## - 0.51 nox + 0.00036 black + 0.0005 age + 0.0006 zn
##
## Model 28:
##
## Rule 28/1: [48 cases, mean 2.321990, range 1.609438 to 2.879199, est err 0.246717]
##
## if
## nox > 0.597
## lstat > 19.15
## then
## outcome = 1.841847 + 1.51 nox - 0.07 rm - 0.00046 black - 0.0045 crim
##
## Rule 28/2: [19 cases, mean 2.797063, range 2.541602 to 3.314186, est err 0.178506]
##
## if
## nox <= 0.597
## lstat > 19.15
## then
## outcome = 3.792114 - 0.131 rm - 0.00085 black - 0.0083 crim
##
## Rule 28/3: [164 cases, mean 2.995336, range 2.459589 to 3.912023, est err 0.130296]
##
## if
## rm <= 6.232
## lstat <= 19.15
## then
## outcome = 2.778227 - 0.0201 lstat + 0.108 rm - 0.0014 age
## - 0.004 ptratio - 0.001 crim
##
## Rule 28/4: [190 cases, mean 3.223285, range 1.974081 to 3.912023, est err 0.123591]
##
## if
## rm > 6.232
## then
## outcome = 1.486383 - 0.033 lstat + 0.318 rm - 0.0271 crim
## - 0.002 ptratio
##
## Model 29:
##
## Rule 29/1: [37 cases, mean 2.538395, range 1.609438 to 3.912023, est err 0.314859]
##
## if
## nox <= 0.693
## dis <= 1.8226
## lstat > 6.87
## then
## outcome = 14.643026 - 13.22 nox - 0.68 dis - 0.0649 indus - 0.0439 lstat
## - 0.0043 crim - 0.00013 tax - 0.017 rm
##
## Rule 29/2: [25 cases, mean 2.606118, range 1.974081 to 3.314186, est err 0.210970]
##
## if
## nox > 0.693
## dis <= 1.8226
## then
## outcome = 6.429326 - 0.354 dis - 0.0348 lstat - 0.0309 crim - 0.265 rm
## - 0.00043 tax - 0.62 nox + 0.0044 rad - 0.009 ptratio
## + 8e-05 black + 0.0009 indus
##
## Rule 29/3: [17 cases, mean 2.773109, range 1.609438 to 3.912023, est err 0.567947]
##
## if
## dis <= 1.4261
## then
## outcome = 11.110737 - 4.615 dis - 0.0563 lstat - 0.0208 crim - 0.78 nox
##
## Rule 29/4: [243 cases, mean 2.985876, range 2.116256 to 3.912023, est err 0.121803]
##
## if
## dis > 1.8226
## lstat > 6.87
## then
## outcome = 3.815377 + 0.0304 rad - 0.0301 crim - 0.00122 tax - 0.081 dis
## - 0.056 ptratio + 0.00122 black + 0.12 rm - 0.003 age
## - 0.0048 lstat - 0.24 nox + 0.0013 indus
##
## Rule 29/5: [101 cases, mean 3.425801, range 3.025291 to 3.912023, est err 0.136487]
##
## if
## lstat <= 6.87
## then
## outcome = 4.630854 + 0.259 crim - 0.0383 lstat - 0.00126 tax - 1.77 nox
## - 0.052 ptratio + 0.155 rm - 0.045 dis + 0.0079 rad
## + 0.00016 black + 0.0019 indus + 0.0005 zn
##
## Model 30:
##
## Rule 30/1: [20 cases, mean 2.422708, range 1.974081 to 2.879199, est err 0.155973]
##
## if
## nox > 0.693
## lstat > 19.88
## then
## outcome = 0.796858 + 2.11 nox - 0.0052 lstat + 0.036 rm - 0.0015 crim
## - 6e-05 tax
##
## Rule 30/2: [37 cases, mean 2.434664, range 1.609438 to 2.995732, est err 0.247099]
##
## if
## nox <= 0.693
## lstat > 19.88
## lstat <= 31.99
## then
## outcome = 4.452781 - 3.78 nox - 0.0315 lstat + 0.175 rm - 0.001 crim
## - 4e-05 tax
##
## Rule 30/3: [5 cases, mean 2.549455, range 1.94591 to 2.884801, est err 1.252396]
##
## if
## nox <= 0.693
## lstat > 31.99
## then
## outcome = 4.461861 - 4.19 nox + 0.0301 lstat + 0.018 rm - 0.0008 crim
## - 3e-05 tax
##
## Rule 30/4: [20 cases, mean 2.794970, range 2.261763 to 3.218876, est err 0.206340]
##
## if
## nox > 0.659
## rm > 6.242
## lstat <= 19.88
## then
## outcome = -1.526953 + 0.312 dis + 4.56 nox + 0.044 rm - 0.0041 lstat
## - 0.0035 crim
##
## Rule 30/5: [25 cases, mean 2.856803, range 2.116256 to 3.912023, est err 0.315155]
##
## if
## crim > 8.20058
## lstat <= 19.88
## then
## outcome = 4.770282 - 0.0952 lstat - 0.0279 crim + 0.014 rm
##
## Rule 30/6: [311 cases, mean 3.085580, range 1.94591 to 3.912023, est err 0.138259]
##
## if
## crim <= 8.20058
## indus > 2.46
## then
## outcome = 2.006273 + 0.216 rm - 0.0093 lstat - 0.0013 age - 0.28 nox
## + 0.00013 tax
##
## Rule 30/7: [7 cases, mean 3.197369, range 2.923162 to 3.589059, est err 0.284633]
##
## if
## indus <= 2.46
## rm <= 6.242
## then
## outcome = 3.183967 - 0.0046 lstat + 0.031 rm - 0.0013 crim - 5e-05 tax
##
## Rule 30/8: [158 cases, mean 3.333095, range 2.646175 to 3.912023, est err 0.111570]
##
## if
## nox <= 0.659
## rm > 6.242
## then
## outcome = 1.06223 + 0.374 rm - 0.0323 lstat
##
## Model 31:
##
## Rule 31/1: [73 cases, mean 2.565798, range 1.609438 to 3.314186, est err 0.259157]
##
## if
## nox > 0.671
## lstat > 6.87
## then
## outcome = 0.339441 + 0.432 dis + 0.0121 age + 1.28 nox - 0.0174 lstat
## - 0.0139 crim + 0.00045 tax - 0.1 rm - 0.006 ptratio
## + 0.0008 rad + 5e-05 black
##
## Rule 31/2: [32 cases, mean 2.795868, range 1.94591 to 3.912023, est err 0.351863]
##
## if
## nox <= 0.671
## dis <= 2.4786
## tax > 437
## then
## outcome = 31.453051 - 0.02456 tax - 1.55 dis - 14.71 nox - 0.0362 lstat
## + 0.00163 black - 0.0158 crim
##
## Rule 31/3: [28 cases, mean 2.903869, range 2.4681 to 3.314186, est err 0.258592]
##
## if
## crim <= 5.29305
## nox > 0.671
## then
## outcome = 4.605957 - 0.0425 lstat - 0.247 rm + 0.00166 black
##
## Rule 31/4: [25 cases, mean 3.000269, range 2.60269 to 3.218876, est err 0.103345]
##
## if
## dis > 2.4786
## tax > 437
## then
## outcome = 3.329978 - 0.017 dis - 0.012 ptratio - 0.0025 lstat
## - 0.0001 tax - 0.0006 age + 0.021 rm
##
## Rule 31/5: [128 cases, mean 3.037722, range 2.476538 to 3.756538, est err 0.113405]
##
## if
## tax <= 437
## ptratio > 18.4
## then
## outcome = 3.963802 - 0.1487 crim - 0.121 ptratio + 1.31 nox + 0.182 rm
## - 0.0028 age - 0.015 dis - 0.0038 lstat - 7e-05 tax
##
## Rule 31/6: [87 cases, mean 3.130999, range 2.667228 to 3.912023, est err 0.123327]
##
## if
## nox <= 0.671
## ptratio <= 18.4
## lstat > 6.87
## then
## outcome = 4.322473 - 0.00167 tax - 0.098 dis - 0.065 ptratio + 0.175 rm
## - 0.0032 age + 0.0035 rad - 0.0042 lstat - 0.0017 crim
## - 0.11 nox + 7e-05 black + 0.0009 indus
##
## Rule 31/7: [101 cases, mean 3.425801, range 3.025291 to 3.912023, est err 0.136578]
##
## if
## lstat <= 6.87
## then
## outcome = 5.12285 + 0.3204 crim - 0.0641 lstat - 0.00165 tax - 1.93 nox
## - 0.058 ptratio + 0.171 rm - 0.044 dis
##
## Model 32:
##
## Rule 32/1: [40 cases, mean 2.454679, range 1.609438 to 3.314186, est err 0.264485]
##
## if
## nox <= 0.693
## lstat > 19.69
## lstat <= 31.99
## then
## outcome = 8.505763 - 5.79 nox - 0.0445 lstat - 0.0107 age - 0.077 dis
## - 0.00091 black
##
## Rule 32/2: [6 cases, mean 2.479251, range 1.94591 to 2.884801, est err 0.500416]
##
## if
## lstat > 31.99
## then
## outcome = 9.273451 - 10.01 nox
##
## Rule 32/3: [59 cases, mean 2.702396, range 1.974081 to 3.314186, est err 0.185567]
##
## if
## nox > 0.693
## then
## outcome = 1.710218 + 1.23 nox - 0.0109 lstat + 0.059 rm - 0.0036 crim
## - 0.007 ptratio + 0.00015 black
##
## Rule 32/4: [163 cases, mean 2.994977, range 2.459589 to 3.912023, est err 0.130569]
##
## if
## rm <= 6.23
## lstat <= 19.69
## then
## outcome = 2.649934 - 0.0178 lstat + 0.00108 black + 0.00023 tax
## + 0.017 rm - 0.0005 crim
##
## Rule 32/5: [191 cases, mean 3.222399, range 1.974081 to 3.912023, est err 0.132984]
##
## if
## rm > 6.23
## then
## outcome = 1.317095 - 0.0305 crim + 0.29 rm - 0.0283 lstat + 0.00046 tax
## + 0.00026 black
##
## Model 33:
##
## Rule 33/1: [66 cases, mean 2.571053, range 1.609438 to 3.912023, est err 0.312954]
##
## if
## dis <= 1.8773
## lstat > 6.87
## then
## outcome = 7.850584 - 1.74 dis - 0.0573 lstat - 0.0178 crim
## - 0.00106 black - 0.129 rm
##
## Rule 33/2: [335 cases, mean 3.113214, range 2.116256 to 3.912023, est err 0.134421]
##
## if
## dis > 1.8773
## then
## outcome = 3.140934 - 0.072 dis + 0.205 rm - 0.059 ptratio
## + 0.00132 black - 0.0039 age - 0.00039 tax - 0.0046 lstat
## + 0.0046 indus - 0.14 nox - 0.0019 crim
##
## Rule 33/3: [101 cases, mean 3.425801, range 3.025291 to 3.912023, est err 0.141820]
##
## if
## lstat <= 6.87
## then
## outcome = 5.48737 + 0.3579 crim - 0.0635 lstat - 0.00228 tax - 2.3 nox
## - 0.061 ptratio + 0.17 rm - 0.037 dis
##
## Model 34:
##
## Rule 34/1: [21 cases, mean 2.193499, range 1.609438 to 2.631889, est err 0.258219]
##
## if
## nox > 0.631
## nox <= 0.693
## lstat > 19.69
## then
## outcome = 15.850122 - 20.28 nox
##
## Rule 34/2: [59 cases, mean 2.702396, range 1.974081 to 3.314186, est err 0.242308]
##
## if
## nox > 0.693
## then
## outcome = 1.247282 + 1.79 nox - 0.003 lstat + 0.014 rm
##
## Rule 34/3: [24 cases, mean 2.702956, range 1.94591 to 3.314186, est err 0.238637]
##
## if
## nox <= 0.631
## lstat > 19.69
## then
## outcome = 2.822319
##
## Rule 34/4: [166 cases, mean 2.997575, range 2.459589 to 3.912023, est err 0.157422]
##
## if
## rm <= 6.242
## lstat <= 19.69
## then
## outcome = 2.40659 + 0.0206 rad - 0.0227 crim + 0.181 rm - 0.0173 lstat
## - 0.7 nox
##
## Rule 34/5: [188 cases, mean 3.223733, range 1.974081 to 3.912023, est err 0.124809]
##
## if
## rm > 6.242
## then
## outcome = 1.207549 - 0.0406 crim - 0.0356 lstat + 0.331 rm + 0.00043 tax
## + 0.0024 rad
##
## Model 35:
##
## Rule 35/1: [5 cases, mean 2.549455, range 1.94591 to 2.884801, est err 0.595200]
##
## if
## lstat > 34.02
## then
## outcome = 2.946255
##
## Rule 35/2: [65 cases, mean 2.634655, range 1.609438 to 3.912023, est err 0.350492]
##
## if
## dis <= 1.8681
## lstat <= 34.02
## then
## outcome = 5.380525 - 0.0787 lstat - 0.055 dis - 0.15 rm - 0.00039 tax
## + 0.0071 rad - 0.014 ptratio - 0.0032 crim
##
## Rule 35/3: [52 cases, mean 2.754588, range 1.84055 to 3.912023, est err 0.323278]
##
## if
## crim <= 15.5757
## dis <= 1.8681
## then
## outcome = 7.142449 - 1.723 dis - 0.0744 lstat - 0.00014 tax + 0.0026 rad
## - 0.005 ptratio - 0.0012 crim
##
## Rule 35/4: [401 cases, mean 3.037157, range 1.609438 to 3.912023, est err 0.156617]
##
## if
## lstat <= 34.02
## then
## outcome = 3.515548 - 0.0254 lstat - 0.00077 tax - 0.047 dis + 0.0112 rad
## + 0.102 rm - 0.031 ptratio - 0.0022 age + 0.00066 black
## - 0.0039 crim
##
## Rule 35/5: [130 cases, mean 3.095342, range 2.533697 to 3.912023, est err 0.123076]
##
## if
## dis > 1.8681
## tax > 273
## ptratio > 16.9
## black > 378.09
## then
## outcome = 2.094903 + 0.269 rm - 0.00112 tax - 0.0065 age - 0.053 dis
## + 0.0094 rad + 0.69 nox + 0.0091 lstat - 0.018 ptratio
## + 0.00038 black
##
## Rule 35/6: [96 cases, mean 3.242941, range 2.4681 to 3.912023, est err 0.142380]
##
## if
## ptratio <= 16.9
## then
## outcome = 4.824497 - 0.121 dis - 0.094 ptratio - 0.00121 tax + 0.253 rm
## - 1.41 nox + 0.0163 indus - 0.0038 age + 0.0019 rad
## - 0.0023 lstat + 0.0001 black
##
## Rule 35/7: [90 cases, mean 3.296109, range 2.476538 to 3.912023, est err 0.155098]
##
## if
## tax <= 273
## then
## outcome = 5.939395 - 0.9893 crim - 0.00614 tax - 0.13 ptratio + 0.275 rm
## - 0.069 dis - 0.0046 age - 0.0026 lstat + 0.0018 rad
##
## Model 36:
##
## Rule 36/1: [23 cases, mean 2.293418, range 1.609438 to 3.912023, est err 0.427150]
##
## if
## nox > 0.659
## nox <= 0.693
## then
## outcome = 26.235612 - 34.61 nox - 0.0212 lstat - 0.00017 tax
## - 0.0035 crim + 0.006 rm
##
## Rule 36/2: [21 cases, mean 2.429481, range 1.974081 to 2.879199, est err 0.197232]
##
## if
## nox > 0.693
## lstat > 18.85
## then
## outcome = -1.348812 + 0.0227 age + 2.64 nox - 0.00069 black
## - 0.00011 tax - 0.0018 crim
##
## Rule 36/3: [47 cases, mean 2.486811, range 1.609438 to 3.314186, est err 0.326040]
##
## if
## nox <= 0.693
## lstat > 18.85
## then
## outcome = 3.899018 - 1.62 nox - 0.0107 lstat - 0.0081 crim + 0.061 rm
## - 0.016 ptratio + 0.0011 age + 0.0034 rad
##
## Rule 36/4: [165 cases, mean 2.995745, range 2.459589 to 3.912023, est err 0.144829]
##
## if
## rm <= 6.242
## lstat <= 18.85
## then
## outcome = 3.057681 - 0.0114 crim + 0.0099 rad - 0.65 nox - 0.0095 lstat
## + 0.068 rm
##
## Rule 36/5: [188 cases, mean 3.223733, range 1.974081 to 3.912023, est err 0.128284]
##
## if
## rm > 6.242
## then
## outcome = 1.225689 - 0.0382 crim + 0.355 rm - 0.0327 lstat + 0.00037 tax
## - 0.13 nox - 0.006 ptratio + 0.0004 age + 0.0012 rad
##
## Model 37:
##
## Rule 37/1: [5 cases, mean 2.549455, range 1.94591 to 2.884801, est err 0.348809]
##
## if
## lstat > 34.02
## then
## outcome = 5.582284 - 0.0357 lstat - 0.067 dis - 0.053 ptratio - 0.69 nox
## - 0.0066 crim + 0.00051 black
##
## Rule 37/2: [72 cases, mean 2.662157, range 1.609438 to 3.912023, est err 0.380506]
##
## if
## dis <= 1.9265
## lstat <= 34.02
## then
## outcome = 4.052488 - 0.049 lstat - 0.268 rm + 1.42 nox - 0.005 dis
## - 0.004 ptratio - 0.0006 crim
##
## Rule 37/3: [41 cases, mean 2.691548, range 1.609438 to 3.912023, est err 0.364862]
##
## if
## nox <= 0.693
## dis <= 1.9265
## lstat <= 34.02
## then
## outcome = 7.483727 - 1.527 dis - 0.0935 lstat - 0.00143 black
## - 0.0156 crim
##
## Rule 37/4: [401 cases, mean 3.037157, range 1.609438 to 3.912023, est err 0.165195]
##
## if
## lstat <= 34.02
## then
## outcome = 2.716046 + 0.225 rm - 0.066 dis + 0.00131 black - 0.0036 age
## - 0.045 ptratio - 0.0122 lstat - 0.00033 tax
##
## Model 38:
##
## Rule 38/1: [37 cases, mean 2.305525, range 1.609438 to 3.144152, est err 0.235306]
##
## if
## nox > 0.671
## lstat > 18.72
## then
## outcome = -2.789766 + 1.078 dis + 4.51 nox - 0.0059 lstat + 0.0043 rad
## - 0.0037 crim - 0.00013 tax + 0.0006 age - 0.007 ptratio
## + 0.02 rm
##
## Rule 38/2: [34 cases, mean 2.684786, range 1.94591 to 3.314186, est err 0.256334]
##
## if
## nox <= 0.671
## lstat > 18.72
## then
## outcome = 4.596542 - 2.22 nox - 0.0117 lstat + 0.0084 rad - 0.0008 black
## - 0.0072 crim - 0.00026 tax + 0.0012 age - 0.013 ptratio
## + 0.039 rm
##
## Rule 38/3: [218 cases, mean 2.865071, range 1.609438 to 3.912023, est err 0.200898]
##
## if
## rm <= 6.242
## then
## outcome = 3.521614 + 0.0216 rad - 0.0171 crim - 0.0147 lstat
## - 0.00036 tax - 0.52 nox
##
## Rule 38/4: [100 cases, mean 3.019862, range 2.261763 to 3.912023, est err 0.192471]
##
## if
## crim > 0.57834
## lstat <= 18.72
## then
## outcome = 3.398539 - 0.0377 lstat - 0.0344 crim + 0.0056 rad + 0.064 rm
## - 0.00017 tax - 0.17 nox + 0.0007 age - 0.007 ptratio
##
## Rule 38/5: [172 cases, mean 3.289045, range 2.261763 to 3.912023, est err 0.134465]
##
## if
## rm > 6.242
## lstat <= 18.72
## then
## outcome = 0.625818 + 0.428 rm - 0.00077 tax - 0.0088 crim - 0.0085 lstat
## + 0.025 dis + 0.0007 rad
##
## Rule 38/6: [6 cases, mean 3.880163, range 3.720862 to 3.912023, est err 0.483673]
##
## if
## crim > 0.57834
## lstat <= 5.19
## then
## outcome = 3.85287 - 0.0107 lstat + 0.0056 rad - 0.0055 crim + 0.058 rm
## - 0.00016 tax
##
## Model 39:
##
## Rule 39/1: [47 cases, mean 2.401625, range 1.609438 to 2.995732, est err 0.273137]
##
## if
## lstat > 21.45
## then
## outcome = 3.205369 - 0.314 dis + 0.0221 age - 0.064 indus - 0.00165 tax
## - 0.018 crim - 0.0012 lstat + 0.0007 rad - 0.002 ptratio
##
## Rule 39/2: [8 cases, mean 2.404566, range 1.974081 to 2.879199, est err 0.191011]
##
## if
## dis <= 1.7364
## black > 392.52
## lstat <= 21.45
## then
## outcome = 10.404942 - 10.39 nox - 0.424 dis - 0.0165 lstat
##
## Rule 39/3: [17 cases, mean 3.079755, range 2.493206 to 3.912023, est err 0.550207]
##
## if
## dis <= 1.7364
## black <= 392.52
## lstat <= 21.45
## then
## outcome = 8.002059 - 2.791 dis - 0.0464 lstat + 0.00086 black
##
## Rule 39/4: [359 cases, mean 3.113568, range 1.974081 to 3.912023, est err 0.147034]
##
## if
## lstat <= 21.45
## then
## outcome = 3.619098 - 0.0237 lstat - 0.075 dis - 0.052 ptratio + 0.146 rm
## + 0.00115 black + 0.0117 rad - 0.00053 tax - 0.0025 age
## - 0.28 nox + 0.0017 indus + 0.0005 zn
##
## Model 40:
##
## Rule 40/1: [20 cases, mean 2.179363, range 1.609438 to 2.70805, est err 0.265705]
##
## if
## nox > 0.668
## nox <= 0.693
## then
## outcome = 20.800668 - 27.14 nox + 0.064 dis - 0.0057 lstat - 0.028 rm
## - 0.0021 crim
##
## Rule 40/2: [79 cases, mean 2.569983, range 1.609438 to 3.314186, est err 0.193683]
##
## if
## nox > 0.668
## then
## outcome = 4.390529 + 0.176 dis - 0.0104 age - 0.0351 lstat - 0.077 rm
## - 0.0057 crim + 0.00029 black
##
## Rule 40/3: [327 cases, mean 3.142565, range 1.94591 to 3.912023, est err 0.146944]
##
## if
## nox <= 0.668
## then
## outcome = 2.43514 + 0.0206 rad - 0.00098 tax + 0.176 rm - 0.0062 lstat
## - 0.0042 crim - 0.21 nox - 0.007 dis + 0.0001 age
##
## Rule 40/4: [96 cases, mean 3.405933, range 3.025291 to 3.912023, est err 0.155179]
##
## if
## rm <= 8.297
## lstat <= 6.9
## then
## outcome = 0.509128 + 0.1317 crim - 0.0464 lstat + 0.435 rm + 0.038 dis
##
## Rule 40/5: [6 cases, mean 3.740131, range 3.086487 to 3.912023, est err 0.290529]
##
## if
## rm > 8.297
## then
## outcome = 3.947652
##
## Model 41:
##
## Rule 41/1: [21 cases, mean 2.361418, range 1.609438 to 2.995732, est err 0.436825]
##
## if
## nox <= 0.693
## lstat > 22.6
## lstat <= 31.99
## then
## outcome = 4.28367 - 0.0984 lstat + 0.157 dis - 0.0146 crim
## + 0.00091 black - 0.003 ptratio
##
## Rule 41/2: [17 cases, mean 2.407415, range 1.974081 to 2.879199, est err 0.274683]
##
## if
## nox > 0.693
## lstat > 22.6
## then
## outcome = -3.214884 + 0.0284 age + 4.01 nox - 0.0021 crim
##
## Rule 41/3: [6 cases, mean 2.479251, range 1.94591 to 2.884801, est err 0.355373]
##
## if
## lstat > 31.99
## then
## outcome = 7.26514 - 7.38 nox + 0.0019 age - 0.0014 crim
##
## Rule 41/4: [26 cases, mean 2.494039, range 1.94591 to 2.944439, est err 0.251076]
##
## if
## dis > 1.4261
## black <= 109.85
## then
## outcome = 2.942015 - 0.0146 lstat - 0.032 ptratio - 0.028 dis + 0.081 rm
## + 0.00049 black - 0.0014 age
##
## Rule 41/5: [17 cases, mean 2.773109, range 1.609438 to 3.912023, est err 0.613925]
##
## if
## dis <= 1.4261
## then
## outcome = 11.213151 - 4.892 dis - 0.0793 lstat - 0.0201 crim
##
## Rule 41/6: [39 cases, mean 2.833881, range 1.84055 to 3.912023, est err 0.304116]
##
## if
## tax > 224
## ptratio > 16.9
## black > 109.85
## black <= 366.15
## then
## outcome = 7.651855 - 0.179 ptratio - 0.00337 black - 0.0393 lstat
## + 0.00079 tax
##
## Rule 41/7: [355 cases, mean 3.104206, range 1.974081 to 3.912023, est err 0.153087]
##
## if
## dis > 1.4261
## lstat <= 22.6
## then
## outcome = 2.352817 + 0.28 rm - 0.0062 age - 0.0182 crim - 0.061 dis
## + 0.0004 tax - 0.0086 lstat - 0.0078 indus - 0.017 ptratio
## - 0.00018 black
##
## Rule 41/8: [19 cases, mean 3.206504, range 2.917771 to 3.589059, est err 0.168411]
##
## if
## tax > 193
## tax <= 224
## ptratio > 16.9
## then
## outcome = 60.44068 - 0.26359 tax + 0.281 rm - 0.0063 age
##
## Rule 41/9: [96 cases, mean 3.242941, range 2.4681 to 3.912023, est err 0.155342]
##
## if
## ptratio <= 16.9
## then
## outcome = 4.005751 - 0.099 dis + 0.26 rm - 0.0247 lstat - 0.08 ptratio
## - 0.94 nox - 0.0028 age + 0.0068 indus + 0.00028 black
##
## Rule 41/10: [16 cases, mean 3.294176, range 2.753661 to 3.912023, est err 0.339279]
##
## if
## tax <= 193
## then
## outcome = 25.520145 - 0.04421 tax - 0.672 ptratio - 0.181 dis
## - 0.0293 lstat - 0.0072 age + 0.012 rm - 8e-05 black
##
## Model 42:
##
## Rule 42/1: [74 cases, mean 2.572835, range 1.609438 to 3.314186, est err 0.235452]
##
## if
## nox > 0.671
## then
## outcome = -1.977225 + 0.63 dis + 4.33 nox - 3e-05 tax
##
## Rule 42/2: [33 cases, mean 2.681010, range 1.94591 to 3.314186, est err 0.281873]
##
## if
## nox <= 0.671
## lstat > 18.85
## then
## outcome = 4.374345 - 0.00186 tax - 0.00106 black + 0.0108 crim
## + 0.0091 rad - 0.0109 lstat - 0.35 nox + 0.0014 age
## - 0.012 ptratio + 0.0028 indus - 0.006 dis + 0.0005 zn
## + 0.007 rm
##
## Rule 42/3: [160 cases, mean 2.975344, range 2.459589 to 3.589059, est err 0.129733]
##
## if
## rm <= 6.242
## dis > 1.9356
## then
## outcome = 2.553572 - 0.00056 tax - 0.0126 lstat + 0.00096 black + 0.1 rm
## + 0.0079 rad + 0.0083 indus + 0.0013 age - 0.26 nox
## + 0.0011 zn - 0.01 ptratio - 0.0005 crim
##
## Rule 42/4: [20 cases, mean 2.991195, range 2.541602 to 3.912023, est err 0.253820]
##
## if
## rm <= 6.242
## dis <= 1.9356
## lstat <= 18.85
## then
## outcome = 6.387431 - 1.105 dis - 0.0538 lstat - 0.212 rm + 0.00141 black
## + 0.0012 rad - 6e-05 tax + 0.0002 age - 0.04 nox
##
## Rule 42/5: [173 cases, mean 3.285839, range 2.261763 to 3.912023, est err 0.117663]
##
## if
## rm > 6.242
## lstat <= 18.85
## then
## outcome = 2.206907 - 0.0501 crim - 0.0435 lstat + 0.0247 rad
## - 0.00104 tax + 0.232 rm + 0.0034 age + 0.0108 indus
## + 0.0015 zn - 0.23 nox - 0.009 ptratio + 0.00016 black
##
## Model 43:
##
## Rule 43/1: [34 cases, mean 2.395951, range 1.609438 to 3.314186, est err 0.285176]
##
## if
## crim > 5.29305
## nox <= 0.693
## lstat > 15.03
## then
## outcome = 7.584713 - 8.06 nox - 0.0062 crim + 0.0012 age - 0.0036 lstat
## - 0.003 dis
##
## Rule 43/2: [29 cases, mean 2.509561, range 1.609438 to 3.314186, est err 0.330019]
##
## if
## age > 99.1
## lstat > 15.03
## then
## outcome = 3.286537 - 0.0201 lstat - 0.0166 crim - 0.061 dis + 0.0033 age
##
## Rule 43/3: [27 cases, mean 2.732072, range 2.4681 to 3.144152, est err 0.204589]
##
## if
## crim > 0.62356
## crim <= 5.29305
## lstat > 15.03
## then
## outcome = 2.727077 + 0.1029 crim - 0.049 dis - 0.0097 lstat - 0.0004 age
## - 0.05 nox + 5e-05 black
##
## Rule 43/4: [278 cases, mean 2.941554, range 1.84055 to 3.912023, est err 0.144300]
##
## if
## age <= 99.1
## dis > 1.1742
## lstat > 6.57
## then
## outcome = 3.288677 - 0.0353 lstat - 0.0208 crim + 0.00043 black
## + 0.0003 age
##
## Rule 43/5: [53 cases, mean 3.055503, range 2.70805 to 3.583519, est err 0.126841]
##
## if
## crim > 0.62356
## dis > 1.1742
## lstat > 6.57
## lstat <= 15.03
## then
## outcome = 4.401239 - 0.12 dis - 0.0312 lstat - 0.0161 crim - 0.0025 age
## - 0.029 ptratio + 0.0065 rad + 0.00033 black - 0.21 nox
## + 0.028 rm - 0.0025 indus - 4e-05 tax
##
## Rule 43/6: [172 cases, mean 3.058962, range 1.94591 to 3.912023, est err 0.137177]
##
## if
## crim <= 0.62356
## lstat > 6.57
## then
## outcome = 2.583773 + 0.5191 crim + 0.265 rm - 0.0068 age - 0.07 dis
## - 0.0125 indus - 0.025 ptratio
##
## Rule 43/7: [22 cases, mean 3.178557, range 3.025291 to 3.356897, est err 0.085823]
##
## if
## rm <= 6.525
## lstat <= 6.57
## then
## outcome = 3.273345 + 0.0496 crim - 0.019 lstat - 0.0003 tax + 0.049 rm
## - 0.014 ptratio - 0.0008 age + 0.001 rad - 0.003 dis
##
## Rule 43/8: [4 cases, mean 3.268346, range 2.624669 to 3.912023, est err 0.375464]
##
## if
## dis <= 1.1742
## then
## outcome = 5.334566 - 0.227 dis - 0.0385 lstat - 0.017 crim - 0.0027 age
## - 0.58 nox + 0.00038 black
##
## Rule 43/9: [16 cases, mean 3.294176, range 2.753661 to 3.912023, est err 0.371460]
##
## if
## tax <= 193
## then
## outcome = -20.581386 + 0.13108 tax - 0.0094 age - 0.0277 lstat
##
## Rule 43/10: [89 cases, mean 3.451573, range 3.025291 to 3.912023, est err 0.126383]
##
## if
## lstat <= 6.57
## then
## outcome = 3.721322 + 0.2003 crim - 0.0619 lstat - 0.001 tax + 0.198 rm
## - 0.054 ptratio - 0.0031 age + 0.0012 rad - 0.004 dis
##
## Model 44:
##
## Rule 44/1: [29 cases, mean 2.272616, range 1.609438 to 2.879199, est err 0.255544]
##
## if
## nox > 0.679
## lstat > 19.69
## then
## outcome = -3.022944 + 1.525 dis + 5.31 nox - 0.181 rm - 0.00013 tax
## + 0.0024 rad - 0.0025 lstat - 0.004 ptratio - 0.001 crim
## + 0.0002 age + 0.0006 indus
##
## Rule 44/2: [33 cases, mean 2.378891, range 1.609438 to 3.314186, est err 0.333163]
##
## if
## tax > 437
## lstat > 19.69
## lstat <= 27.71
## then
## outcome = 26.385848 - 0.02635 tax - 0.1263 lstat - 5.15 nox - 0.008 dis
## + 0.0015 rad - 0.005 ptratio - 0.0006 crim
##
## Rule 44/3: [4 cases, mean 2.556500, range 2.091864 to 2.884801, est err 0.335297]
##
## if
## nox <= 0.679
## tax > 437
## lstat > 27.71
## then
## outcome = 26.717288 - 0.02945 tax - 6.56 nox
##
## Rule 44/4: [58 cases, mean 2.560870, range 1.609438 to 3.912023, est err 0.339464]
##
## if
## rm <= 6.242
## dis <= 1.9356
## then
## outcome = 5.100085 - 0.731 dis - 0.0385 lstat + 0.006 rad - 0.00022 tax
## - 0.25 nox - 0.009 ptratio + 0.00021 black + 0.0018 indus
##
## Rule 44/5: [14 cases, mean 2.741464, range 2.541602 to 2.995732, est err 0.203855]
##
## if
## nox <= 0.679
## tax <= 437
## lstat > 19.69
## then
## outcome = 8.391715 - 5.13 nox - 0.218 dis - 0.0373 crim - 0.095 ptratio
## - 0.00012 tax - 0.0001 black
##
## Rule 44/6: [20 cases, mean 2.794970, range 2.261763 to 3.218876, est err 0.170989]
##
## if
## nox > 0.659
## rm > 6.242
## lstat <= 19.69
## then
## outcome = 2.514037 - 0.0055 crim + 0.045 rm - 0.0026 lstat - 0.003 dis
##
## Rule 44/7: [146 cases, mean 2.998449, range 2.459589 to 3.589059, est err 0.114769]
##
## if
## rm <= 6.242
## dis > 1.9356
## lstat <= 19.69
## then
## outcome = 1.758427 + 0.326 rm - 0.00091 tax + 0.017 rad - 0.042 ptratio
## + 0.00101 black + 0.0109 lstat - 0.0021 age + 0.0072 indus
## - 0.021 dis - 0.1 nox
##
## Rule 44/8: [210 cases, mean 3.067663, range 2.261763 to 3.912023, est err 0.141796]
##
## if
## nox > 0.488
## lstat <= 19.69
## then
## outcome = 2.767956 - 0.0276 lstat + 0.243 rm - 0.08 dis + 0.0098 rad
## - 0.00047 tax - 0.45 nox - 0.02 ptratio - 0.0015 age
## + 0.00037 black + 0.0026 indus - 0.0011 crim
##
## Rule 44/9: [132 cases, mean 3.255430, range 2.667228 to 3.912023, est err 0.092031]
##
## if
## nox <= 0.488
## then
## outcome = 0.123483 + 0.395 rm + 1.77 nox - 0.0098 indus - 0.0055 lstat
## - 9e-05 tax - 0.006 dis - 0.004 ptratio
##
## Model 45:
##
## Rule 45/1: [27 cases, mean 2.334431, range 1.609438 to 3.314186, est err 0.324378]
##
## if
## crim > 7.05042
## nox <= 0.693
## lstat > 19.15
## then
## outcome = 6.749303 - 7.44 nox + 0.0075 age - 0.0161 crim - 0.00025 black
##
## Rule 45/2: [67 cases, mean 2.456712, range 1.609438 to 3.314186, est err 0.246971]
##
## if
## lstat > 19.15
## then
## outcome = 3.06803 - 0.0097 lstat - 0.0051 crim - 0.012 dis
## - 0.011 ptratio - 0.13 nox + 0.014 rm
##
## Rule 45/3: [25 cases, mean 2.457093, range 1.974081 to 2.879199, est err 0.149959]
##
## if
## crim > 7.05042
## nox > 0.693
## then
## outcome = 0.671432 + 0.0268 age - 0.0202 lstat - 0.0116 crim
## - 0.00058 black
##
## Rule 45/4: [37 cases, mean 2.932228, range 2.261763 to 3.912023, est err 0.187461]
##
## if
## dis <= 2.505
## black <= 364.61
## lstat <= 19.15
## then
## outcome = 4.986951 - 0.258 dis - 0.0637 lstat - 0.0146 crim
## + 0.00076 black - 0.092 rm - 0.54 nox + 0.00019 tax
##
## Rule 45/5: [21 cases, mean 2.946596, range 2.476538 to 3.173878, est err 0.122192]
##
## if
## crim <= 0.17171
## dis <= 2.505
## then
## outcome = 2.968753
##
## Rule 45/6: [339 cases, mean 3.144683, range 2.261763 to 3.912023, est err 0.122107]
##
## if
## lstat <= 19.15
## then
## outcome = 2.440087 + 0.243 rm - 0.0033 age - 0.036 dis - 0.0085 lstat
## - 0.027 ptratio + 0.00025 black
##
## Rule 45/7: [43 cases, mean 3.186034, range 2.533697 to 3.912023, est err 0.208287]
##
## if
## crim > 0.17171
## dis <= 2.505
## black > 364.61
## lstat <= 19.15
## then
## outcome = 17.850199 - 0.03137 black - 0.404 dis - 0.0357 crim
## - 0.0382 lstat - 0.0075 age - 1.68 nox + 0.114 rm
##
## Model 46:
##
## Rule 46/1: [30 cases, mean 2.282360, range 1.609438 to 2.879199, est err 0.239952]
##
## if
## nox > 0.679
## lstat > 18.85
## then
## outcome = -0.312757 + 0.944 dis + 4.94 nox - 0.0362 lstat - 0.297 rm
## + 0.0028 rad - 0.00014 tax - 0.005 ptratio - 0.0012 crim
## + 0.0003 age
##
## Rule 46/2: [23 cases, mean 2.510800, range 1.94591 to 3.314186, est err 0.308158]
##
## if
## nox <= 0.679
## tax > 437
## lstat > 18.85
## then
## outcome = 27.056677 - 0.02955 tax - 6.79 nox - 0.017 dis - 0.013 ptratio
## - 0.0015 lstat
##
## Rule 46/3: [38 cases, mean 2.616538, range 1.94591 to 3.314186, est err 0.211364]
##
## if
## nox <= 0.679
## lstat > 18.85
## then
## outcome = 7.790757 - 0.14 ptratio - 0.135 dis - 2.4 nox - 0.00054 tax
## - 0.0119 lstat
##
## Rule 46/4: [163 cases, mean 2.993470, range 2.459589 to 3.912023, est err 0.110754]
##
## if
## rm <= 6.232
## lstat <= 18.85
## then
## outcome = 4.131327 + 0.0241 rad - 0.001 tax - 0.0204 lstat - 0.039 dis
## - 0.66 nox - 0.027 ptratio + 0.00066 black - 0.0018 crim
## + 0.0004 age + 0.01 rm + 0.0003 zn
##
## Rule 46/5: [18 cases, mean 3.015990, range 2.541602 to 3.912023, est err 0.298380]
##
## if
## rm <= 6.232
## dis <= 1.8773
## lstat <= 18.85
## then
## outcome = 7.295695 - 2.081 dis - 0.0596 lstat - 0.0166 crim + 0.0015 rad
## - 6e-05 tax - 0.04 nox + 5e-05 black
##
## Rule 46/6: [190 cases, mean 3.223285, range 1.974081 to 3.912023, est err 0.122580]
##
## if
## rm > 6.232
## then
## outcome = 3.485881 - 0.0509 lstat + 0.0133 rad - 0.00054 tax
## - 0.0099 crim + 0.098 rm - 0.027 dis - 0.38 nox
## - 0.013 ptratio + 0.001 age + 0.001 zn + 0.00022 black
##
## Rule 46/7: [122 cases, mean 3.371724, range 2.70805 to 3.912023, est err 0.098180]
##
## if
## rm > 6.232
## tax <= 370
## then
## outcome = 1.92112 - 0.00223 tax + 0.369 rm - 0.0243 lstat
## - 0.015 ptratio + 0.0014 rad - 0.04 nox - 0.002 dis
## - 0.0005 crim
##
## Model 47:
##
## Rule 47/1: [42 cases, mean 2.549679, range 1.609438 to 3.218876, est err 0.189682]
##
## if
## nox > 0.668
## black > 368.24
## then
## outcome = 10.608582 - 0.01457 black - 0.0217 age - 0.0225 crim
## + 0.053 dis - 0.0039 lstat + 0.18 nox - 0.019 rm
##
## Rule 47/2: [79 cases, mean 2.569983, range 1.609438 to 3.314186, est err 0.187605]
##
## if
## nox > 0.668
## then
## outcome = 1.112922 + 0.373 dis + 1.55 nox + 0.00118 black - 0.0115 lstat
## - 0.0077 crim - 0.064 rm
##
## Rule 47/3: [75 cases, mean 3.017661, range 2.459589 to 3.912023, est err 0.174072]
##
## if
## crim > 0.62356
## nox <= 0.668
## then
## outcome = 0.400889 + 3.7 nox - 0.0237 lstat + 0.136 rm - 0.0016 crim
## - 0.003 ptratio - 0.003 dis
##
## Rule 47/4: [204 cases, mean 3.092436, range 1.94591 to 3.912023, est err 0.100006]
##
## if
## crim <= 0.62356
## lstat > 5.12
## then
## outcome = 1.971398 + 0.4005 crim + 0.288 rm - 0.0041 age - 0.035 dis
## - 0.0061 indus - 0.016 ptratio
##
## Rule 47/5: [53 cases, mean 3.581248, range 3.113515 to 3.912023, est err 0.130608]
##
## if
## lstat <= 5.12
## then
## outcome = 1.988173 + 0.1764 crim + 0.293 rm - 0.032 ptratio
## - 0.0011 lstat - 0.002 dis
##
## Model 48:
##
## Rule 48/1: [35 cases, mean 2.269312, range 1.609438 to 2.879199, est err 0.230005]
##
## if
## nox > 0.671
## lstat > 19.15
## then
## outcome = -3.104061 + 1.083 dis + 4.76 nox - 0.004 ptratio
##
## Rule 48/2: [13 cases, mean 2.463816, range 1.94591 to 2.667228, est err 0.298342]
##
## if
## nox > 0.597
## nox <= 0.671
## lstat > 19.15
## then
## outcome = 3.112821 - 0.0157 lstat - 0.00065 tax + 0.0114 rad
## - 0.005 crim - 0.017 dis - 0.29 nox - 0.015 ptratio
## + 0.0008 age + 0.028 rm + 0.0023 indus + 0.0007 zn
## + 0.00012 black
##
## Rule 48/3: [19 cases, mean 2.797063, range 2.541602 to 3.314186, est err 0.166146]
##
## if
## nox <= 0.597
## lstat > 19.15
## then
## outcome = 2.765256
##
## Rule 48/4: [218 cases, mean 2.865071, range 1.609438 to 3.912023, est err 0.159517]
##
## if
## rm <= 6.242
## then
## outcome = 3.772579 + 0.024 rad - 0.0289 lstat - 0.00108 tax
## + 0.00086 black - 0.031 ptratio - 0.03 dis - 0.0079 crim
## - 0.44 nox + 0.06 rm + 0.0012 zn + 0.0009 age + 0.0036 indus
##
## Rule 48/5: [210 cases, mean 3.222225, range 2.476538 to 3.912023, est err 0.101095]
##
## if
## tax <= 358
## lstat <= 19.15
## then
## outcome = 2.218431 - 0.00229 tax + 0.279 rm - 0.0124 indus
## - 0.0085 lstat + 0.003 rad - 0.007 dis + 0.0003 zn
##
## Rule 48/6: [173 cases, mean 3.285839, range 2.261763 to 3.912023, est err 0.101472]
##
## if
## rm > 6.242
## lstat <= 19.15
## then
## outcome = 2.643998 - 0.0489 lstat + 0.199 rm - 0.0006 tax + 0.01 rad
## - 0.023 dis + 0.001 zn - 0.0021 crim - 0.12 nox
## - 0.006 ptratio + 0.00013 black + 0.0009 indus + 0.0002 age
##
## Model 49:
##
## Rule 49/1: [26 cases, mean 2.245692, range 1.609438 to 2.879199, est err 0.176789]
##
## if
## nox > 0.671
## lstat > 21.52
## then
## outcome = 0.097259 + 0.0163 age + 0.156 dis + 1.32 nox - 0.0145 crim
## - 0.0006 tax
##
## Rule 49/2: [24 cases, mean 2.362224, range 1.609438 to 2.879199, est err 0.343863]
##
## if
## dis <= 1.7821
## black > 392.52
## then
## outcome = -67.600647 + 0.18111 black - 0.819 dis - 0.0446 crim
##
## Rule 49/3: [11 cases, mean 2.479150, range 1.94591 to 2.884801, est err 0.422889]
##
## if
## nox <= 0.671
## tax > 437
## lstat > 21.52
## then
## outcome = 13.144155 - 0.01728 tax + 0.0503 lstat - 0.00099 black
##
## Rule 49/4: [20 cases, mean 2.604525, range 1.94591 to 2.995732, est err 0.201880]
##
## if
## nox <= 0.671
## lstat > 21.52
## then
## outcome = 2.218448 + 0.0103 age - 0.0107 crim - 0.00038 tax
## - 0.0033 lstat - 0.008 dis - 0.007 ptratio - 0.12 nox
## + 0.011 rm
##
## Rule 49/5: [89 cases, mean 2.856390, range 1.974081 to 3.912023, est err 0.248315]
##
## if
## indus > 10.81
## dis <= 3.0665
## ptratio > 16.9
## lstat <= 21.52
## then
## outcome = 1.987418 + 0.305 dis + 0.00108 black - 0.0024 lstat
## - 0.005 ptratio - 0.09 nox - 0.0012 crim + 0.008 rm
##
## Rule 49/6: [22 cases, mean 3.061897, range 2.493206 to 3.912023, est err 0.330581]
##
## if
## dis <= 1.7821
## black <= 392.52
## lstat <= 21.52
## then
## outcome = 8.164391 - 2.128 dis - 0.0538 lstat - 0.0152 crim - 0.99 nox
##
## Rule 49/7: [147 cases, mean 3.155205, range 2.572612 to 3.912023, est err 0.086016]
##
## if
## dis > 3.0665
## ptratio > 16.9
## lstat <= 21.52
## then
## outcome = 2.377088 + 0.323 rm - 0.0047 age - 0.053 ptratio - 0.024 dis
## + 0.00012 black
##
## Rule 49/8: [50 cases, mean 3.262854, range 2.778819 to 3.912023, est err 0.125977]
##
## if
## indus <= 10.81
## dis <= 3.0665
## then
## outcome = 3.093391 - 0.0389 indus - 0.0045 age + 0.142 rm
## + 0.00073 black - 0.024 ptratio + 0.024 dis - 0.0023 lstat
##
## Rule 49/9: [82 cases, mean 3.316272, range 2.70805 to 3.912023, est err 0.102360]
##
## if
## dis > 1.7821
## ptratio <= 16.9
## then
## outcome = 2.09477 + 0.319 rm - 0.055 ptratio - 0.0115 lstat
## + 0.0084 indus - 0.001 age + 0.00031 black - 0.013 dis
##
## Model 50:
##
## Rule 50/1: [20 cases, mean 2.179363, range 1.609438 to 2.70805, est err 0.220726]
##
## if
## nox > 0.668
## nox <= 0.693
## then
## outcome = 17.712358 - 21.9 nox - 0.0272 lstat - 0.001 crim
##
## Rule 50/2: [59 cases, mean 2.702396, range 1.974081 to 3.314186, est err 0.151530]
##
## if
## nox > 0.693
## then
## outcome = 4.330437 - 0.0363 lstat - 0.00095 tax + 0.0176 rad - 0.035 dis
## - 0.0084 crim - 0.44 nox - 0.015 ptratio
##
## Rule 50/3: [24 cases, mean 2.891146, range 2.459589 to 3.218876, est err 0.123012]
##
## if
## nox <= 0.668
## dis > 1.9865
## tax > 437
## then
## outcome = 1.863779 + 0.264 dis - 0.00139 tax + 0.205 rm - 0.0063 lstat
## + 0.0019 rad - 0.0009 crim - 0.05 nox
##
## Rule 50/4: [19 cases, mean 2.944263, range 1.94591 to 3.912023, est err 0.557660]
##
## if
## nox <= 0.668
## dis <= 1.9865
## tax > 437
## then
## outcome = 33.402055 - 0.03122 tax - 0.998 dis - 10.12 nox - 0.0463 lstat
## - 0.0385 crim
##
## Rule 50/5: [227 cases, mean 3.016297, range 1.94591 to 3.912023, est err 0.136311]
##
## if
## nox <= 0.668
## lstat > 6.87
## then
## outcome = 2.604971 + 0.0329 rad - 0.00147 tax + 0.203 rm - 0.0155 lstat
## - 0.031 dis - 0.0012 age - 0.004 ptratio - 0.0008 crim
## - 0.05 nox
##
## Rule 50/6: [101 cases, mean 3.425801, range 3.025291 to 3.912023, est err 0.108585]
##
## if
## lstat <= 6.87
## then
## outcome = 2.684197 - 0.0609 lstat - 0.00106 tax + 0.236 rm + 0.0064 rad
## - 0.012 dis - 0.003 crim - 0.19 nox - 0.007 ptratio
##
## Model 51:
##
## Rule 51/1: [59 cases, mean 2.438298, range 1.609438 to 2.995732, est err 0.224281]
##
## if
## lstat > 20.31
## then
## outcome = 3.370744 - 0.00122 tax - 0.0054 lstat - 0.012 ptratio
## - 0.0023 crim + 0.00018 black - 0.007 dis + 0.02 rm
##
## Rule 51/2: [49 cases, mean 2.617438, range 1.609438 to 3.912023, est err 0.315969]
##
## if
## dis <= 1.7455
## then
## outcome = 6.706299 - 1.76 dis - 0.0508 lstat - 0.0173 crim + 6e-05 black
## - 0.002 ptratio
##
## Rule 51/3: [153 cases, mean 2.984344, range 2.459589 to 3.589059, est err 0.110825]
##
## if
## rm <= 6.232
## dis > 1.7455
## lstat <= 20.31
## then
## outcome = 3.861428 - 0.056 ptratio + 0.00131 black - 0.0025 age
## - 0.03 dis - 0.0038 lstat + 8e-05 tax
##
## Rule 51/4: [54 cases, mean 3.146330, range 2.261763 to 3.912023, est err 0.143307]
##
## if
## crim > 0.52693
## rm > 6.232
## lstat <= 20.31
## then
## outcome = 3.441266 - 0.0364 lstat - 0.083 dis - 0.017 crim + 0.116 rm
## - 0.035 ptratio + 0.00069 black + 8e-05 tax - 0.0002 age
##
## Rule 51/5: [125 cases, mean 3.327433, range 2.80336 to 3.912023, est err 0.090686]
##
## if
## crim <= 0.52693
## rm > 6.232
## lstat <= 20.31
## then
## outcome = 1.712962 + 0.394 rm - 0.83 nox - 0.0025 age - 0.031 dis
## - 0.025 ptratio - 0.0019 lstat - 0.0008 crim + 6e-05 black
##
## Model 52:
##
## Rule 52/1: [11 cases, mean 2.139563, range 1.609438 to 2.70805, est err 0.510537]
##
## if
## nox > 0.668
## nox <= 0.693
## dis <= 1.6334
## then
## outcome = 27.796239 - 37.86 nox + 0.0025 rad - 0.0029 lstat
## - 0.0026 crim - 0.00011 tax - 0.003 ptratio - 0.003 dis
## + 0.008 rm
##
## Rule 52/2: [9 cases, mean 2.228008, range 1.94591 to 2.541602, est err 0.205878]
##
## if
## nox > 0.668
## nox <= 0.693
## dis > 1.6334
## then
## outcome = 1.265799 + 0.163 dis + 0.95 nox
##
## Rule 52/3: [17 cases, mean 2.651511, range 1.94591 to 3.314186, est err 0.517893]
##
## if
## indus > 13.92
## nox <= 0.668
## lstat > 19.69
## then
## outcome = 12.830052 - 13.06 nox - 0.1332 indus + 0.0306 lstat
## + 0.001 rad - 4e-05 tax - 0.0006 crim
##
## Rule 52/4: [59 cases, mean 2.702396, range 1.974081 to 3.314186, est err 0.173414]
##
## if
## nox > 0.693
## then
## outcome = 0.623013 + 0.369 dis + 2.04 nox + 0.0048 rad - 0.0056 lstat
## - 0.00021 tax - 0.0043 crim - 0.006 ptratio + 0.016 rm
##
## Rule 52/5: [10 cases, mean 2.752113, range 2.541602 to 2.995732, est err 0.192425]
##
## if
## indus <= 13.92
## lstat > 19.69
## then
## outcome = 0.804313 + 0.2221 indus
##
## Rule 52/6: [158 cases, mean 2.804554, range 1.609438 to 3.912023, est err 0.245230]
##
## if
## crim > 0.57834
## then
## outcome = 3.793438 - 0.0557 lstat - 0.0185 crim - 0.89 nox + 0.0086 rad
## + 0.0023 age - 0.02 dis + 0.048 rm + 0.00014 tax + 0.0004 zn
## - 0.004 ptratio
##
## Rule 52/7: [248 cases, mean 3.175516, range 1.94591 to 3.912023, est err 0.095424]
##
## if
## crim <= 0.57834
## then
## outcome = 1.572425 + 0.321 rm + 0.0232 rad - 0.00097 tax - 0.035 dis
## - 0.0026 age + 0.002 zn
##
## Rule 52/8: [26 cases, mean 3.398909, range 2.753661 to 3.912023, est err 0.197921]
##
## if
## tax <= 222
## then
## outcome = 4.844921 - 0.00399 tax - 0.0523 lstat + 0.0098 rad
## - 0.0066 crim - 0.021 dis - 0.31 nox + 0.045 rm
## - 0.006 ptratio + 0.0003 zn
##
## Model 53:
##
## Rule 53/1: [14 cases, mean 2.233362, range 1.609438 to 2.879199, est err 0.556765]
##
## if
## nox > 0.679
## lstat > 25.79
## then
## outcome = 7.480485 - 0.1238 lstat - 0.637 rm + 3.87 nox - 0.00255 black
##
## Rule 53/2: [57 cases, mean 2.632042, range 1.609438 to 3.912023, est err 0.389387]
##
## if
## dis <= 1.7821
## then
## outcome = 7.45003 - 1.971 dis - 0.0737 lstat - 0.0145 crim
##
## Rule 53/3: [9 cases, mean 2.633077, range 2.091864 to 2.884801, est err 0.492635]
##
## if
## nox <= 0.679
## lstat > 25.79
## then
## outcome = 1.334398 + 0.0514 lstat - 0.002 ptratio
##
## Rule 53/4: [186 cases, mean 2.918584, range 1.609438 to 3.912023, est err 0.162893]
##
## if
## rm <= 6.219
## lstat <= 25.79
## then
## outcome = 3.885364 + 0.00136 black - 0.055 ptratio - 0.003 age
## - 0.032 dis - 0.0074 lstat + 0.007 rm
##
## Rule 53/5: [197 cases, mean 3.212314, range 1.974081 to 3.912023, est err 0.120941]
##
## if
## rm > 6.219
## then
## outcome = 2.529023 - 0.0385 lstat + 0.234 rm - 0.0121 crim
## - 0.043 ptratio + 0.00083 black - 0.029 dis + 0.00023 tax
## - 0.04 nox
##
## Model 54:
##
## Rule 54/1: [11 cases, mean 2.156391, range 1.609438 to 2.624669, est err 0.707803]
##
## if
## nox <= 0.693
## tax > 437
## black > 380.23
## lstat > 19.69
## then
## outcome = 4.951002 + 0.05366 black - 35.76 nox
##
## Rule 54/2: [20 cases, mean 2.274144, range 1.84055 to 2.631889, est err 0.287946]
##
## if
## nox > 0.597
## tax > 437
## black <= 380.23
## lstat > 19.69
## then
## outcome = 13.113331 - 0.01606 tax + 0.0053 rad - 0.0053 lstat
## - 0.0033 crim - 0.16 nox - 0.008 dis - 0.005 ptratio
## + 0.015 rm
##
## Rule 54/3: [8 cases, mean 2.290898, range 1.974081 to 2.509599, est err 0.352306]
##
## if
## nox > 0.693
## tax > 437
## black > 380.23
## lstat > 19.69
## then
## outcome = 7.046775 - 6.5 nox + 0.007 rad - 0.0003 tax - 0.007 lstat
## - 0.0043 crim - 0.011 dis + 0.019 rm - 0.006 ptratio
##
## Rule 54/4: [79 cases, mean 2.663517, range 1.609438 to 3.912023, est err 0.367103]
##
## if
## dis <= 1.9356
## then
## outcome = 7.263134 - 1.353 dis - 0.0191 age - 0.039 lstat
## + 0.00125 black + 0.0053 rad - 0.00017 tax - 0.0029 crim
## - 0.16 nox
##
## Rule 54/5: [20 cases, mean 2.724285, range 2.4681 to 2.995732, est err 0.151839]
##
## if
## tax <= 437
## lstat > 19.69
## then
## outcome = 2.621515
##
## Rule 54/6: [18 cases, mean 2.805445, range 2.541602 to 3.314186, est err 0.260629]
##
## if
## nox <= 0.597
## lstat > 19.69
## then
## outcome = 2.440724 + 0.0349 indus
##
## Rule 54/7: [25 cases, mean 2.845170, range 2.261763 to 3.912023, est err 0.165511]
##
## if
## crim > 3.47428
## rm > 6.242
## lstat <= 19.69
## then
## outcome = 4.022622 - 0.0612 crim - 0.0471 lstat - 0.139 dis + 0.0046 rad
## + 0.043 rm - 0.00015 tax - 0.05 nox
##
## Rule 54/8: [160 cases, mean 2.975344, range 2.459589 to 3.589059, est err 0.113135]
##
## if
## rm <= 6.242
## dis > 1.9356
## then
## outcome = 2.297119 + 0.0207 rad + 0.225 rm - 0.00086 tax - 0.0126 lstat
## - 0.0082 crim - 0.39 nox - 0.021 dis
##
## Rule 54/9: [30 cases, mean 3.237220, range 2.80336 to 3.912023, est err 0.181050]
##
## if
## crim <= 3.47428
## rm > 6.242
## tax > 370
## then
## outcome = 3.414339 - 0.00634 tax + 0.383 rm - 0.0208 lstat + 0.0005 rad
##
## Rule 54/10: [120 cases, mean 3.378462, range 2.912351 to 3.912023, est err 0.096359]
##
## if
## rm > 6.242
## tax <= 370
## lstat <= 19.69
## then
## outcome = 1.633963 - 0.00273 tax + 0.374 rm + 0.0171 rad - 0.003 age
##
## Model 55:
##
## Rule 55/1: [22 cases, mean 2.257007, range 1.609438 to 2.879199, est err 0.293397]
##
## if
## nox > 0.679
## lstat > 22.6
## then
## outcome = -0.678203 + 1.79 dis + 4.76 nox - 0.487 rm - 0.0466 lstat
## + 0.0053 age - 0.0044 crim
##
## Rule 55/2: [21 cases, mean 2.552807, range 1.94591 to 2.995732, est err 0.268611]
##
## if
## nox <= 0.679
## lstat > 22.6
## then
## outcome = 5.069917 - 5.08 nox - 0.117 dis + 0.0323 lstat
##
## Rule 55/3: [24 cases, mean 2.817490, range 1.974081 to 3.912023, est err 0.284240]
##
## if
## dis <= 1.8026
## ptratio > 17.3
## lstat <= 22.6
## then
## outcome = 7.497568 - 4.84 nox - 0.0716 lstat - 0.014 ptratio - 0.013 dis
## - 0.0029 crim + 0.017 rm + 0.0011 rad
##
## Rule 55/4: [261 cases, mean 3.030732, range 2.014903 to 3.912023, est err 0.117129]
##
## if
## dis > 1.8026
## ptratio > 17.3
## then
## outcome = 3.152647 - 0.07 ptratio + 0.203 rm + 0.00126 black
## - 0.0134 lstat - 0.041 dis - 0.0029 age - 0.0005 crim
##
## Rule 55/5: [94 cases, mean 3.282028, range 2.572612 to 3.912023, est err 0.125373]
##
## if
## ptratio <= 17.3
## lstat <= 22.6
## then
## outcome = 3.461644 - 0.0337 lstat + 0.168 rm - 0.051 dis - 0.036 ptratio
## - 0.0055 crim - 0.31 nox + 0.002 rad
##
## Model 56:
##
## Rule 56/1: [66 cases, mean 2.571053, range 1.609438 to 3.912023, est err 0.291228]
##
## if
## dis <= 1.8773
## lstat > 6.9
## then
## outcome = 5.609419 - 1.388 dis - 0.034 lstat - 0.0141 crim
##
## Rule 56/2: [165 cases, mean 2.960514, range 2.116256 to 3.589059, est err 0.111638]
##
## if
## rm <= 6.242
## dis > 1.8773
## then
## outcome = 2.29838 - 0.0231 crim + 0.153 rm - 0.0151 lstat
## + 0.00048 black - 0.02 dis - 0.001 age
##
## Rule 56/3: [95 cases, mean 3.000149, range 1.974081 to 3.912023, est err 0.132581]
##
## if
## rm > 6.242
## lstat > 6.9
## then
## outcome = 0.865174 - 0.0391 crim + 0.408 rm - 0.0335 lstat
##
## Rule 56/4: [26 cases, mean 3.037638, range 2.476538 to 3.411148, est err 0.103394]
##
## if
## crim <= 0.04819
## lstat > 6.9
## then
## outcome = 3.133443 - 0.016 lstat - 0.0115 crim + 0.111 rm - 0.59 nox
## - 0.023 dis - 0.016 ptratio
##
## Rule 56/5: [102 cases, mean 3.425592, range 3.025291 to 3.912023, est err 0.106394]
##
## if
## lstat <= 6.9
## then
## outcome = 2.3665 + 0.1613 crim - 0.0429 lstat + 0.319 rm - 0.00091 tax
## - 1.25 nox - 0.006 dis - 0.004 ptratio
##
## Model 57:
##
## Rule 57/1: [29 cases, mean 2.272616, range 1.609438 to 2.879199, est err 0.268712]
##
## if
## nox > 0.679
## lstat > 19.69
## then
## outcome = -4.051603 + 1.386 dis + 5.39 nox - 0.0006 lstat
##
## Rule 57/2: [36 cases, mean 2.596742, range 1.94591 to 3.314186, est err 0.286703]
##
## if
## nox <= 0.679
## lstat > 19.69
## then
## outcome = 8.493405 - 8.5 nox - 0.239 dis + 0.0133 crim - 0.004 lstat
## + 0.0026 rad - 0.008 ptratio - 0.0001 tax + 0.0011 indus
##
## Rule 57/3: [160 cases, mean 2.754361, range 1.609438 to 3.912023, est err 0.214198]
##
## if
## ptratio > 19.7
## then
## outcome = 3.555961 - 0.0516 lstat - 0.052 dis + 0.00051 tax
## + 0.00074 black + 0.004 rad - 0.013 ptratio - 0.17 nox
## - 0.0018 crim + 0.0017 indus
##
## Rule 57/4: [246 cases, mean 3.211177, range 2.4681 to 3.912023, est err 0.098671]
##
## if
## ptratio <= 19.7
## then
## outcome = 2.892252 + 0.248 rm - 0.00072 tax - 0.046 ptratio - 0.035 dis
## - 0.0086 lstat - 0.0016 age + 0.0049 rad + 0.00025 black
## - 0.16 nox + 0.0018 indus
##
## Model 58:
##
## Rule 58/1: [34 cases, mean 2.260617, range 1.609438 to 2.879199, est err 0.246072]
##
## if
## nox > 0.671
## lstat > 19.69
## then
## outcome = 2.835805 + 4.17 nox - 0.437 rm - 0.0276 lstat - 0.0138 crim
## - 0.001 black
##
## Rule 58/2: [17 cases, mean 2.596890, range 1.94591 to 3.314186, est err 0.422131]
##
## if
## nox <= 0.671
## tax > 437
## lstat > 19.69
## then
## outcome = 26.259148 - 0.03033 tax - 6.35 nox + 0.0318 lstat
## - 0.0009 crim + 0.0005 rad
##
## Rule 58/3: [32 cases, mean 2.603606, range 1.94591 to 2.995732, est err 0.241935]
##
## if
## crim <= 9.59571
## lstat > 19.69
## then
## outcome = 3.336858 - 0.126 rm - 0.0091 lstat + 0.37 nox - 0.0046 crim
## - 0.00033 black
##
## Rule 58/4: [31 cases, mean 2.662181, range 1.94591 to 3.314186, est err 0.243615]
##
## if
## nox <= 0.671
## lstat > 19.69
## then
## outcome = 2.803035
##
## Rule 58/5: [20 cases, mean 2.991195, range 2.541602 to 3.912023, est err 0.305566]
##
## if
## rm <= 6.232
## dis <= 1.9356
## lstat <= 19.69
## then
## outcome = 6.085949 - 1.897 dis - 0.0425 lstat + 0.00191 black
## - 6e-05 tax - 0.0009 crim + 0.0008 rad + 0.007 rm
##
## Rule 58/6: [164 cases, mean 2.995336, range 2.459589 to 3.912023, est err 0.146223]
##
## if
## rm <= 6.232
## lstat <= 19.69
## then
## outcome = 1.988629 - 0.0192 crim + 0.201 rm - 0.0017 age - 6e-05 tax
## + 0.0008 rad - 0.05 nox
##
## Rule 58/7: [190 cases, mean 3.223285, range 1.974081 to 3.912023, est err 0.121057]
##
## if
## rm > 6.232
## then
## outcome = 1.560166 - 0.0317 crim - 0.033 lstat + 0.318 rm - 0.00011 tax
## - 0.14 nox - 0.006 dis
##
## Model 59:
##
## Rule 59/1: [20 cases, mean 2.179363, range 1.609438 to 2.70805, est err 0.292467]
##
## if
## nox > 0.668
## nox <= 0.693
## then
## outcome = 5.534331 - 0.951 dis - 0.057 lstat - 0.00166 black
##
## Rule 59/2: [59 cases, mean 2.702396, range 1.974081 to 3.314186, est err 0.165707]
##
## if
## nox > 0.693
## then
## outcome = 3.689823 - 0.0424 lstat - 0.0079 age + 0.044 dis
## + 0.00098 black + 0.28 nox
##
## Rule 59/3: [227 cases, mean 3.016297, range 1.94591 to 3.912023, est err 0.131184]
##
## if
## nox <= 0.668
## lstat > 6.87
## then
## outcome = 4.341747 - 0.0281 lstat + 0.0186 rad - 0.00087 tax - 0.066 dis
## - 0.054 ptratio + 0.097 rm - 0.53 nox + 0.00049 black
## + 0.0048 indus - 0.001 age + 0.0009 zn - 0.0022 crim
##
## Rule 59/4: [101 cases, mean 3.425801, range 3.025291 to 3.912023, est err 0.126365]
##
## if
## lstat <= 6.87
## then
## outcome = 4.066876 + 0.1911 crim - 0.0409 lstat - 0.00128 tax
## - 0.053 ptratio + 0.0123 rad + 0.143 rm - 0.03 dis - 0.35 nox
## - 0.0012 age + 0.0032 indus + 0.00019 black + 0.0006 zn
##
## Model 60:
##
## Rule 60/1: [74 cases, mean 2.572835, range 1.609438 to 3.314186, est err 0.231111]
##
## if
## nox > 0.671
## then
## outcome = -0.87617 + 0.928 dis + 4.16 nox - 0.209 rm - 0.0121 crim
## - 0.007 ptratio
##
## Rule 60/2: [33 cases, mean 2.681010, range 1.94591 to 3.314186, est err 0.250365]
##
## if
## nox <= 0.671
## lstat > 18.85
## then
## outcome = 5.815099 - 1.8 nox - 0.089 dis - 0.082 ptratio - 0.0071 crim
##
## Rule 60/3: [163 cases, mean 2.993470, range 2.459589 to 3.912023, est err 0.123675]
##
## if
## rm <= 6.232
## lstat <= 18.85
## then
## outcome = 2.787539 + 0.00074 black - 0.002 age + 0.014 rm - 0.0013 lstat
##
## Rule 60/4: [190 cases, mean 3.223285, range 1.974081 to 3.912023, est err 0.116212]
##
## if
## rm > 6.232
## then
## outcome = 1.200862 + 0.356 rm - 0.0281 crim - 0.028 lstat - 8e-05 tax
## + 0.001 rad - 0.05 nox - 0.002 ptratio
##
##
## Evaluation on training data (406 cases):
##
## Average |error| 0.087659
## Relative |error| 0.30
## Correlation coefficient 0.95
##
##
## Attribute usage:
## Conds Model
##
## 52% 91% lstat
## 34% 86% rm
## 23% 77% dis
## 21% 65% nox
## 13% 75% crim
## 7% 69% ptratio
## 7% 68% tax
## 3% 53% black
## 2% 26% indus
## 1% 64% age
## 56% rad
## 18% zn
##
##
## Time: 1.0 secs
print(test)
## Cubist
##
## 406 samples
## 13 predictors
##
## No pre-processing
## Resampling: Cross-Validated (10 fold)
## Summary of sample sizes: 366, 366, 366, 364, 365, 365, ...
## Resampling results across tuning parameters:
##
## committees RMSE Rsquared MAE
## 10 0.1583925 0.8466918 0.1107769
## 20 0.1583584 0.8472808 0.1110684
## 30 0.1561905 0.8520580 0.1096080
## 40 0.1568762 0.8503103 0.1097031
## 50 0.1558537 0.8521776 0.1090822
## 60 0.1557795 0.8523205 0.1092222
## 70 0.1560815 0.8513625 0.1094752
## 80 0.1560394 0.8513984 0.1094927
## 90 0.1558779 0.8516891 0.1092535
## 100 0.1564619 0.8508731 0.1096365
##
## Tuning parameter 'neighbors' was held constant at a value of 0
## RMSE was used to select the optimal model using the smallest value.
## The final values used for the model were committees = 60 and neighbors = 0.
# OUTPUT SHOWING A HIGHEST R^2 WHEN # OF COMMITEES = 100
# committees RMSE Rsquared RMSE SD Rsquared SD
# 10 0.1607422 0.8548458 0.04166821 0.07783100
# 20 0.1564213 0.8617020 0.04223616 0.07858360
# 30 0.1560715 0.8619450 0.04015586 0.07534421
# 40 0.1562329 0.8621699 0.03904749 0.07301656
# 50 0.1563900 0.8612108 0.03904703 0.07342892
# 60 0.1558986 0.8620672 0.03819357 0.07138955
# 70 0.1553652 0.8631393 0.03849417 0.07173025
# 80 0.1552432 0.8629853 0.03887986 0.07254633
# 90 0.1548292 0.8637903 0.03880407 0.07182265
# 100 0.1547612 0.8638320 0.03953242 0.07354575
mdl2 <- cubist(x = X1,
y = Y1,
committees = 100,
control = cubistControl(unbiased = TRUE,
label = "log_medv",
seed = 2015))
print(cor(Y2, predict(mdl2, newdata = X2) ^ 2))
## [1] 0.9589031
# [1] 0.9589031