This report analyses the demographic prediction results of Boosted Decision Tree Model trained on the NR data.
Top 20 rows of the result set:
## title gender age score
## 2605 10 THINGS I HATE ABOUT YOU Female [2-5] 1.802336
## 2583 10 THINGS I HATE ABOUT YOU Female [6-8] 1.861817
## 2610 10 THINGS I HATE ABOUT YOU Female [9-11] 1.912219
## 2581 10 THINGS I HATE ABOUT YOU Female [12-14] 2.428242
## 2601 10 THINGS I HATE ABOUT YOU Female [15-17] 3.265264
## 2604 10 THINGS I HATE ABOUT YOU Female [18-20] 3.016504
## 2607 10 THINGS I HATE ABOUT YOU Female [21-24] 2.320502
## 2584 10 THINGS I HATE ABOUT YOU Female [25-29] 3.021620
## 2593 10 THINGS I HATE ABOUT YOU Female [30-34] 3.567641
## 2594 10 THINGS I HATE ABOUT YOU Female [35-39] 4.210353
## 2595 10 THINGS I HATE ABOUT YOU Female [40-44] 4.662144
## 2596 10 THINGS I HATE ABOUT YOU Female [45-49] 5.088395
A summary of the prediction set:
## title gender age
## 10 THINGS I HATE ABOUT YOU : 30 Female:36030 [2-5] : 4804
## 11.22.63 : 30 Male :36030 [6-8] : 4804
## 12 MONKEYS : 30 [9-11] : 4804
## 14 DIARIES OF THE GREAT WAR: 30 [12-14]: 4804
## 16 AND PREGNANT : 30 [15-17]: 4804
## 1600 PENN : 30 [18-20]: 4804
## (Other) :71880 (Other):43236
## score
## Min. :-0.2748
## 1st Qu.: 3.0824
## Median : 4.3618
## Mean : 4.8006
## 3rd Qu.: 6.0395
## Max. :26.7000
##
Count of Unique Titles in the Test Set:
## [1] 2402
Histograpm of Predicted Scores:
The density of the Predicted Scores:
Distributional behaviour of predicted scores:
Mean Score of each demo bracket:
## gender age x
## 4 Male [6-8] 2.503623
## 2 Male [2-5] 2.538721
## 1 Female [2-5] 2.602004
## 6 Male [9-11] 2.718975
## 3 Female [6-8] 2.842069
## 5 Female [9-11] 3.063976
## 12 Male [18-20] 3.327857
## 14 Male [21-24] 3.348244
## 8 Male [12-14] 3.446253
## 10 Male [15-17] 3.508210
## 7 Female [12-14] 3.782942
## 16 Male [25-29] 3.934580
## 11 Female [18-20] 3.976440
## 9 Female [15-17] 4.165474
## 18 Male [30-34] 4.392505
## 13 Female [21-24] 4.614908
## 20 Male [35-39] 4.850410
## 22 Male [40-44] 5.052668
## 15 Female [25-29] 5.127233
## 24 Male [45-49] 5.376008
## 17 Female [30-34] 5.728973
## 26 Male [50-54] 6.135201
## 19 Female [35-39] 6.139818
## 21 Female [40-44] 6.289342
## 30 Male [65+] 6.305009
## 28 Male [55-64] 6.792366
## 23 Female [45-49] 7.230381
## 29 Female [65+] 7.840718
## 25 Female [50-54] 7.843698
## 27 Female [55-64] 8.538608
Pie Chart Age brackets by the sum of Scores:
Bar chart indicating the ranked Age brackets by the sum of scores:
Pie Chart indicating Gender by the sum of Scores:
Bar chart indicating the gender by the sum of scores:
Heat map of Demo by predictions scores on all titles:
## [1] "title" "gender" "age" "score"
## title Female_[2-5] Female_[6-8] Female_[9-11]
## 1 10 THINGS I HATE ABOUT YOU 1.802336 1.861817 1.912219
## 2 11.22.63 2.974509 3.273336 3.428418
## 3 12 MONKEYS 3.075230 3.259543 3.143986
## 4 14 DIARIES OF THE GREAT WAR 1.766652 1.881658 2.427419
## 5 16 AND PREGNANT 2.628726 2.792781 3.293288
## 6 1600 PENN 3.608641 3.449332 3.976758
## Female_[12-14] Female_[15-17] Female_[18-20] Female_[21-24]
## 1 2.428242 3.265264 3.016504 2.320502
## 2 4.223701 4.733591 4.231344 5.120004
## 3 4.574559 4.239665 4.333588 4.811667
## 4 3.157037 2.906526 2.265247 3.527208
## 5 3.354633 3.773571 3.666661 4.785141
## 6 4.712257 5.231903 4.554941 6.770905
## Female_[25-29] Female_[30-34] Female_[35-39] Female_[40-44]
## 1 3.021620 3.567641 4.210353 4.662144
## 2 6.175825 6.855114 6.581566 6.647938
## 3 5.121606 5.933879 6.855699 6.261017
## 4 3.984225 5.444674 5.633984 5.756648
## 5 5.186256 5.998479 7.456518 7.782208
## 6 7.451282 7.386765 8.760273 8.356054
## Female_[45-49] Female_[50-54] Female_[55-64] Female_[65+] Male_[2-5]
## 1 5.088395 6.517895 7.909960 7.264472 1.551064
## 2 6.643283 8.601527 7.759574 3.936278 2.999649
## 3 7.730012 7.718658 7.705619 7.282412 2.056509
## 4 7.416484 8.475748 9.624836 5.193168 1.704469
## 5 7.826052 7.168458 9.572624 9.521175 1.853084
## 6 10.791605 10.254705 10.919290 10.949645 2.508597
## Male_[6-8] Male_[9-11] Male_[12-14] Male_[15-17] Male_[18-20]
## 1 1.551109 1.560587 1.980615 2.207429 2.180390
## 2 2.985757 3.267674 4.053395 4.298790 3.710979
## 3 2.243221 2.257262 2.742471 2.550031 2.462600
## 4 1.450483 2.051251 3.115283 2.888333 2.433157
## 5 2.082242 2.136810 2.743986 2.241293 2.055996
## 6 1.619166 2.335706 2.822180 2.981873 2.654560
## Male_[21-24] Male_[25-29] Male_[30-34] Male_[35-39] Male_[40-44]
## 1 1.092943 1.964153 2.510173 3.144986 3.516248
## 2 3.949586 5.059438 5.385683 5.414477 5.195742
## 3 2.635873 2.960226 3.863172 4.629673 4.422003
## 4 2.892704 3.450329 4.573165 4.762475 4.874094
## 5 2.495761 2.830602 3.419202 4.960741 5.088940
## 6 3.586306 4.266683 4.202165 5.749847 5.171454
## Male_[45-49] Male_[50-54] Male_[55-64] Male_[65+]
## 1 3.208461 4.641830 5.693545 5.644154
## 2 4.618092 6.600969 5.360947 2.208800
## 3 4.960439 4.993796 4.759609 4.767396
## 4 6.086612 7.486463 8.620275 4.370435
## 5 4.628096 4.251280 6.604912 6.737432
## 6 7.240077 6.788130 7.271012 7.616503
## [1] 2402 31
## [1] Female_[55-64] Female_[50-54] Female_[45-49] Female_[55-64]
## [5] Female_[55-64] Female_[65+]
## 20 Levels: Female_[12-14] Female_[15-17] Female_[18-20] ... title
Titles By Gender Split:
Count of Female Titles:
## [1] 2110
Count of Male Titles:
## [1] 291
Count of Negative predictions:
##
## -1 1
## 3 72057