Bases
urban traffic
## Rows: 135
## Columns: 18
## $ hour_coded <dbl> 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 1~
## $ immobilized_bus <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ broken_truck <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ vehicle_excess <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ accident_victim <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ running_over <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ fire_vehicles <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ occurrence_involving_freight <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ incident_involving_dangerous_freight <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ lack_of_electricity <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ fire <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ point_of_flooding <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ manifestations <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ defect_in_the_network_of_trolleybuses <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ tree_on_the_road <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ semaphore_off <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ intermittent_semaphore <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0,~
## $ slowness_in_traffic_percent <dbl> 4.1, 6.6, 8.7, 9.2, 11.1, 10.9, ~| Name | dat |
| Number of rows | 135 |
| Number of columns | 18 |
| _______________________ | |
| Column type frequency: | |
| numeric | 18 |
| ________________________ | |
| Group variables | None |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| hour_coded | 0 | 1 | 14.00 | 7.82 | 1.0 | 7.0 | 14 | 21.00 | 27.0 | ▇▇▇▇▇ |
| immobilized_bus | 0 | 1 | 0.34 | 0.66 | 0.0 | 0.0 | 0 | 1.00 | 4.0 | ▇▂▁▁▁ |
| broken_truck | 0 | 1 | 0.87 | 1.10 | 0.0 | 0.0 | 1 | 1.00 | 5.0 | ▇▁▁▁▁ |
| vehicle_excess | 0 | 1 | 0.03 | 0.17 | 0.0 | 0.0 | 0 | 0.00 | 1.0 | ▇▁▁▁▁ |
| accident_victim | 0 | 1 | 0.42 | 0.70 | 0.0 | 0.0 | 0 | 1.00 | 3.0 | ▇▃▁▁▁ |
| running_over | 0 | 1 | 0.12 | 0.35 | 0.0 | 0.0 | 0 | 0.00 | 2.0 | ▇▁▁▁▁ |
| fire_vehicles | 0 | 1 | 0.01 | 0.09 | 0.0 | 0.0 | 0 | 0.00 | 1.0 | ▇▁▁▁▁ |
| occurrence_involving_freight | 0 | 1 | 0.01 | 0.09 | 0.0 | 0.0 | 0 | 0.00 | 1.0 | ▇▁▁▁▁ |
| incident_involving_dangerous_freight | 0 | 1 | 0.01 | 0.09 | 0.0 | 0.0 | 0 | 0.00 | 1.0 | ▇▁▁▁▁ |
| lack_of_electricity | 0 | 1 | 0.12 | 0.50 | 0.0 | 0.0 | 0 | 0.00 | 4.0 | ▇▁▁▁▁ |
| fire | 0 | 1 | 0.01 | 0.09 | 0.0 | 0.0 | 0 | 0.00 | 1.0 | ▇▁▁▁▁ |
| point_of_flooding | 0 | 1 | 0.12 | 0.71 | 0.0 | 0.0 | 0 | 0.00 | 7.0 | ▇▁▁▁▁ |
| manifestations | 0 | 1 | 0.05 | 0.22 | 0.0 | 0.0 | 0 | 0.00 | 1.0 | ▇▁▁▁▁ |
| defect_in_the_network_of_trolleybuses | 0 | 1 | 0.23 | 0.82 | 0.0 | 0.0 | 0 | 0.00 | 8.0 | ▇▁▁▁▁ |
| tree_on_the_road | 0 | 1 | 0.04 | 0.21 | 0.0 | 0.0 | 0 | 0.00 | 1.0 | ▇▁▁▁▁ |
| semaphore_off | 0 | 1 | 0.13 | 0.46 | 0.0 | 0.0 | 0 | 0.00 | 4.0 | ▇▁▁▁▁ |
| intermittent_semaphore | 0 | 1 | 0.01 | 0.12 | 0.0 | 0.0 | 0 | 0.00 | 1.0 | ▇▁▁▁▁ |
| slowness_in_traffic_percent | 0 | 1 | 10.05 | 4.36 | 3.4 | 7.4 | 9 | 11.85 | 23.4 | ▅▇▂▂▁ |
LASSO
## # A tibble: 17 x 3
## term estimate penalty
## <chr> <dbl> <dbl>
## 1 (Intercept) 9.91 0.1
## 2 hour_coded 2.41 0.1
## 3 immobilized_bus 0 0.1
## 4 broken_truck 0 0.1
## 5 vehicle_excess 0 0.1
## 6 accident_victim 0 0.1
## 7 running_over 0 0.1
## 8 occurrence_involving_freight -0.00645 0.1
## 9 incident_involving_dangerous_freight 0 0.1
## 10 lack_of_electricity 0.0621 0.1
## 11 fire 0 0.1
## 12 point_of_flooding 1.13 0.1
## 13 manifestations 0.211 0.1
## 14 defect_in_the_network_of_trolleybuses -0.399 0.1
## 15 tree_on_the_road -0.0969 0.1
## 16 semaphore_off 0.799 0.1
## 17 intermittent_semaphore 0 0.1
## # A tibble: 2 x 4
## .metric .estimator .estimate .config
## <chr> <chr> <dbl> <chr>
## 1 rmse standard 3.06 Preprocessor1_Model1
## 2 rsq standard 0.571 Preprocessor1_Model1Ridge
## # A tibble: 17 x 3
## term estimate penalty
## <chr> <dbl> <dbl>
## 1 (Intercept) 9.91 0.1
## 2 hour_coded 2.26 0.1
## 3 immobilized_bus 0.106 0.1
## 4 broken_truck -0.0597 0.1
## 5 vehicle_excess 0.00491 0.1
## 6 accident_victim -0.0340 0.1
## 7 running_over -0.0377 0.1
## 8 occurrence_involving_freight -0.205 0.1
## 9 incident_involving_dangerous_freight -0.134 0.1
## 10 lack_of_electricity 0.180 0.1
## 11 fire -0.0705 0.1
## 12 point_of_flooding 1.14 0.1
## 13 manifestations 0.439 0.1
## 14 defect_in_the_network_of_trolleybuses -0.524 0.1
## 15 tree_on_the_road -0.177 0.1
## 16 semaphore_off 0.815 0.1
## 17 intermittent_semaphore -0.109 0.1
## # A tibble: 2 x 4
## .metric .estimator .estimate .config
## <chr> <chr> <dbl> <chr>
## 1 rmse standard 3.08 Preprocessor1_Model1
## 2 rsq standard 0.606 Preprocessor1_Model1student mat
## Rows: 395
## Columns: 18
## $ sex <chr> "F", "F", "F", "F", "F", "M", "M", "F", "M", "M", "F", "F",~
## $ age <dbl> 18, 17, 15, 15, 16, 16, 16, 17, 15, 15, 15, 15, 15, 15, 15,~
## $ medu <chr> "4", "1", "1", "4", "3", "4", "2", "4", "3", "3", "4", "2",~
## $ fedu <chr> "4", "1", "1", "2", "3", "3", "2", "4", "2", "4", "4", "1",~
## $ studytime <chr> "2", "2", "2", "3", "2", "2", "2", "2", "2", "2", "2", "3",~
## $ failures <chr> "0", "0", "3", "0", "0", "0", "0", "0", "0", "0", "0", "0",~
## $ paid <dbl> 0, 0, 1, 1, 1, 1, 0, 0, 1, 1, 1, 0, 1, 1, 0, 0, 1, 0, 0, 1,~
## $ activities <dbl> 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1,~
## $ higher <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,~
## $ internet <dbl> 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1,~
## $ romantic <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,~
## $ famrel <chr> "4", "5", "4", "3", "4", "5", "4", "4", "4", "5", "3", "5",~
## $ freetime <chr> "3", "3", "3", "2", "3", "4", "4", "1", "2", "5", "3", "2",~
## $ health <chr> "3", "3", "3", "5", "5", "5", "3", "1", "1", "5", "2", "4",~
## $ absences <dbl> 6, 4, 10, 2, 4, 10, 0, 6, 0, 0, 0, 4, 2, 2, 0, 4, 6, 4, 16,~
## $ g1 <dbl> 5, 5, 7, 15, 6, 15, 12, 6, 16, 14, 10, 10, 14, 10, 14, 14, ~
## $ g2 <dbl> 6, 5, 8, 14, 10, 15, 12, 5, 18, 15, 8, 12, 14, 10, 16, 14, ~
## $ g3 <dbl> 6, 6, 10, 15, 10, 15, 11, 6, 19, 15, 9, 12, 14, 11, 16, 14,~| Name | dat |
| Number of rows | 395 |
| Number of columns | 18 |
| _______________________ | |
| Column type frequency: | |
| character | 8 |
| numeric | 10 |
| ________________________ | |
| Group variables | None |
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
|---|---|---|---|---|---|---|---|
| sex | 0 | 1 | 1 | 1 | 0 | 2 | 0 |
| medu | 0 | 1 | 1 | 1 | 0 | 5 | 0 |
| fedu | 0 | 1 | 1 | 1 | 0 | 5 | 0 |
| studytime | 0 | 1 | 1 | 1 | 0 | 4 | 0 |
| failures | 0 | 1 | 1 | 1 | 0 | 4 | 0 |
| famrel | 0 | 1 | 1 | 1 | 0 | 5 | 0 |
| freetime | 0 | 1 | 1 | 1 | 0 | 5 | 0 |
| health | 0 | 1 | 1 | 1 | 0 | 5 | 0 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| age | 0 | 1 | 16.70 | 1.28 | 15 | 16 | 17 | 18 | 22 | ▇▅▅▁▁ |
| paid | 0 | 1 | 0.46 | 0.50 | 0 | 0 | 0 | 1 | 1 | ▇▁▁▁▇ |
| activities | 0 | 1 | 0.51 | 0.50 | 0 | 0 | 1 | 1 | 1 | ▇▁▁▁▇ |
| higher | 0 | 1 | 0.95 | 0.22 | 0 | 1 | 1 | 1 | 1 | ▁▁▁▁▇ |
| internet | 0 | 1 | 0.83 | 0.37 | 0 | 1 | 1 | 1 | 1 | ▂▁▁▁▇ |
| romantic | 0 | 1 | 0.33 | 0.47 | 0 | 0 | 0 | 1 | 1 | ▇▁▁▁▅ |
| absences | 0 | 1 | 5.71 | 8.00 | 0 | 0 | 4 | 8 | 75 | ▇▁▁▁▁ |
| g1 | 0 | 1 | 10.91 | 3.32 | 3 | 8 | 11 | 13 | 19 | ▂▇▇▆▂ |
| g2 | 0 | 1 | 10.71 | 3.76 | 0 | 9 | 11 | 13 | 19 | ▁▂▇▆▂ |
| g3 | 0 | 1 | 10.42 | 4.58 | 0 | 8 | 11 | 14 | 20 | ▂▃▇▅▁ |
LASSO
## # A tibble: 37 x 3
## term estimate penalty
## <chr> <dbl> <dbl>
## 1 (Intercept) 10.8 0.1
## 2 age -0.128 0.1
## 3 paid 0 0.1
## 4 activities -0.0959 0.1
## 5 higher 0 0.1
## 6 internet 0 0.1
## 7 romantic -0.114 0.1
## 8 absences 0.226 0.1
## 9 g1 0.429 0.1
## 10 g2 3.43 0.1
## # ... with 27 more rows
## # A tibble: 2 x 4
## .metric .estimator .estimate .config
## <chr> <chr> <dbl> <chr>
## 1 rmse standard 1.88 Preprocessor1_Model1
## 2 rsq standard 0.855 Preprocessor1_Model1Ridge
## # A tibble: 37 x 3
## term estimate penalty
## <chr> <dbl> <dbl>
## 1 (Intercept) 11.4 0.1
## 2 age -0.262 0.1
## 3 paid -0.0120 0.1
## 4 activities -0.194 0.1
## 5 higher -0.108 0.1
## 6 internet 0.0329 0.1
## 7 romantic -0.276 0.1
## 8 absences 0.298 0.1
## 9 g1 1.01 0.1
## 10 g2 2.65 0.1
## # ... with 27 more rows
## # A tibble: 2 x 4
## .metric .estimator .estimate .config
## <chr> <chr> <dbl> <chr>
## 1 rmse standard 2.17 Preprocessor1_Model1
## 2 rsq standard 0.808 Preprocessor1_Model1student port
## Rows: 649
## Columns: 18
## $ sex <chr> "F", "F", "F", "F", "F", "M", "M", "F", "M", "M", "F", "F",~
## $ age <dbl> 18, 17, 15, 15, 16, 16, 16, 17, 15, 15, 15, 15, 15, 15, 15,~
## $ medu <chr> "4", "1", "1", "4", "3", "4", "2", "4", "3", "3", "4", "2",~
## $ fedu <chr> "4", "1", "1", "2", "3", "3", "2", "4", "2", "4", "4", "1",~
## $ studytime <chr> "2", "2", "2", "3", "2", "2", "2", "2", "2", "2", "2", "3",~
## $ failures <chr> "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0", "0",~
## $ paid <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0,~
## $ activities <dbl> 0, 0, 0, 1, 0, 1, 0, 0, 0, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1,~
## $ higher <dbl> 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1,~
## $ internet <dbl> 0, 1, 1, 1, 0, 1, 1, 0, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 1, 1,~
## $ romantic <dbl> 0, 0, 0, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 0, 0, 0,~
## $ famrel <chr> "4", "5", "4", "3", "4", "5", "4", "4", "4", "5", "3", "5",~
## $ freetime <chr> "3", "3", "3", "2", "3", "4", "4", "1", "2", "5", "3", "2",~
## $ health <chr> "3", "3", "3", "5", "5", "5", "3", "1", "1", "5", "2", "4",~
## $ absences <dbl> 4, 2, 6, 0, 0, 6, 0, 2, 0, 0, 2, 0, 0, 0, 0, 6, 10, 2, 2, 6~
## $ g1 <dbl> 0, 9, 12, 14, 11, 12, 13, 10, 15, 12, 14, 10, 12, 12, 14, 1~
## $ g2 <dbl> 11, 11, 13, 14, 13, 12, 12, 13, 16, 12, 14, 12, 13, 12, 14,~
## $ g3 <dbl> 11, 11, 12, 14, 13, 13, 13, 13, 17, 13, 14, 13, 12, 13, 15,~| Name | dat |
| Number of rows | 649 |
| Number of columns | 18 |
| _______________________ | |
| Column type frequency: | |
| character | 8 |
| numeric | 10 |
| ________________________ | |
| Group variables | None |
Variable type: character
| skim_variable | n_missing | complete_rate | min | max | empty | n_unique | whitespace |
|---|---|---|---|---|---|---|---|
| sex | 0 | 1 | 1 | 1 | 0 | 2 | 0 |
| medu | 0 | 1 | 1 | 1 | 0 | 5 | 0 |
| fedu | 0 | 1 | 1 | 1 | 0 | 5 | 0 |
| studytime | 0 | 1 | 1 | 1 | 0 | 4 | 0 |
| failures | 0 | 1 | 1 | 1 | 0 | 4 | 0 |
| famrel | 0 | 1 | 1 | 1 | 0 | 5 | 0 |
| freetime | 0 | 1 | 1 | 1 | 0 | 5 | 0 |
| health | 0 | 1 | 1 | 1 | 0 | 5 | 0 |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| age | 0 | 1 | 16.74 | 1.22 | 15 | 16 | 17 | 18 | 22 | ▇▅▅▁▁ |
| paid | 0 | 1 | 0.06 | 0.24 | 0 | 0 | 0 | 0 | 1 | ▇▁▁▁▁ |
| activities | 0 | 1 | 0.49 | 0.50 | 0 | 0 | 0 | 1 | 1 | ▇▁▁▁▇ |
| higher | 0 | 1 | 0.89 | 0.31 | 0 | 1 | 1 | 1 | 1 | ▁▁▁▁▇ |
| internet | 0 | 1 | 0.77 | 0.42 | 0 | 1 | 1 | 1 | 1 | ▂▁▁▁▇ |
| romantic | 0 | 1 | 0.37 | 0.48 | 0 | 0 | 0 | 1 | 1 | ▇▁▁▁▅ |
| absences | 0 | 1 | 3.66 | 4.64 | 0 | 0 | 2 | 6 | 32 | ▇▂▁▁▁ |
| g1 | 0 | 1 | 11.40 | 2.75 | 0 | 10 | 11 | 13 | 19 | ▁▂▇▇▁ |
| g2 | 0 | 1 | 11.57 | 2.91 | 0 | 10 | 11 | 13 | 19 | ▁▁▇▇▂ |
| g3 | 0 | 1 | 11.91 | 3.23 | 0 | 10 | 12 | 14 | 19 | ▁▁▇▇▂ |
LASSO
## # A tibble: 37 x 3
## term estimate penalty
## <chr> <dbl> <dbl>
## 1 (Intercept) 12.1 0.1
## 2 age 0 0.1
## 3 paid 0 0.1
## 4 activities 0 0.1
## 5 higher 0 0.1
## 6 internet 0 0.1
## 7 romantic 0 0.1
## 8 absences 0 0.1
## 9 g1 0.344 0.1
## 10 g2 2.33 0.1
## # ... with 27 more rows
## # A tibble: 2 x 4
## .metric .estimator .estimate .config
## <chr> <chr> <dbl> <chr>
## 1 rmse standard 1.27 Preprocessor1_Model1
## 2 rsq standard 0.887 Preprocessor1_Model1Ridge
## # A tibble: 37 x 3
## term estimate penalty
## <chr> <dbl> <dbl>
## 1 (Intercept) 12.3 0.1
## 2 age 0.127 0.1
## 3 paid -0.0613 0.1
## 4 activities 0.0128 0.1
## 5 higher 0.0769 0.1
## 6 internet 0.0310 0.1
## 7 romantic -0.0826 0.1
## 8 absences 0.0919 0.1
## 9 g1 0.713 0.1
## 10 g2 1.79 0.1
## # ... with 27 more rows
## # A tibble: 2 x 4
## .metric .estimator .estimate .config
## <chr> <chr> <dbl> <chr>
## 1 rmse standard 1.35 Preprocessor1_Model1
## 2 rsq standard 0.874 Preprocessor1_Model1coffee
## Rows: 1,108
## Columns: 16
## $ total_cup_points <dbl> 90.58, 89.92, 89.75, 89.00, 88.83, 88.67, 88.42, ~
## $ aroma <dbl> 8.67, 8.75, 8.42, 8.17, 8.25, 8.25, 8.67, 8.08, 8~
## $ flavor <dbl> 8.83, 8.67, 8.50, 8.58, 8.50, 8.33, 8.67, 8.58, 8~
## $ aftertaste <dbl> 8.67, 8.50, 8.42, 8.42, 8.25, 8.50, 8.58, 8.50, 8~
## $ acidity <dbl> 8.75, 8.58, 8.42, 8.42, 8.50, 8.42, 8.42, 8.50, 8~
## $ body <dbl> 8.50, 8.42, 8.33, 8.50, 8.42, 8.33, 8.33, 7.67, 7~
## $ balance <dbl> 8.42, 8.42, 8.42, 8.25, 8.33, 8.50, 8.42, 8.42, 8~
## $ uniformity <dbl> 10.00, 10.00, 10.00, 10.00, 10.00, 10.00, 9.33, 1~
## $ clean_cup <dbl> 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 10, 1~
## $ sweetness <dbl> 10.00, 10.00, 10.00, 10.00, 10.00, 9.33, 9.33, 10~
## $ cupper_points <dbl> 8.75, 8.58, 9.25, 8.67, 8.58, 9.00, 8.67, 8.50, 8~
## $ moisture <dbl> 0.12, 0.12, 0.00, 0.11, 0.12, 0.03, 0.03, 0.10, 0~
## $ category_one_defects <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0~
## $ quakers <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0~
## $ category_two_defects <dbl> 0, 1, 0, 2, 2, 0, 0, 4, 1, 0, 0, 2, 2, 0, 0, 0, 8~
## $ altitude_mean_meters <dbl> 2075.0, 2075.0, 1700.0, 2000.0, 2075.0, 1635.0, 1~| Name | dat |
| Number of rows | 1108 |
| Number of columns | 16 |
| _______________________ | |
| Column type frequency: | |
| numeric | 16 |
| ________________________ | |
| Group variables | None |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| total_cup_points | 0 | 1 | 82.11 | 3.60 | 0 | 81.17 | 82.50 | 83.58 | 90.58 | ▁▁▁▁▇ |
| aroma | 0 | 1 | 7.57 | 0.38 | 0 | 7.42 | 7.58 | 7.75 | 8.75 | ▁▁▁▁▇ |
| flavor | 0 | 1 | 7.52 | 0.40 | 0 | 7.33 | 7.58 | 7.75 | 8.83 | ▁▁▁▁▇ |
| aftertaste | 0 | 1 | 7.39 | 0.41 | 0 | 7.25 | 7.42 | 7.58 | 8.67 | ▁▁▁▁▇ |
| acidity | 0 | 1 | 7.53 | 0.39 | 0 | 7.33 | 7.50 | 7.75 | 8.75 | ▁▁▁▁▇ |
| body | 0 | 1 | 7.51 | 0.37 | 0 | 7.33 | 7.50 | 7.67 | 8.58 | ▁▁▁▁▇ |
| balance | 0 | 1 | 7.51 | 0.42 | 0 | 7.33 | 7.50 | 7.75 | 8.75 | ▁▁▁▁▇ |
| uniformity | 0 | 1 | 9.87 | 0.52 | 0 | 10.00 | 10.00 | 10.00 | 10.00 | ▁▁▁▁▇ |
| clean_cup | 0 | 1 | 9.85 | 0.78 | 0 | 10.00 | 10.00 | 10.00 | 10.00 | ▁▁▁▁▇ |
| sweetness | 0 | 1 | 9.87 | 0.60 | 0 | 10.00 | 10.00 | 10.00 | 10.00 | ▁▁▁▁▇ |
| cupper_points | 0 | 1 | 7.49 | 0.47 | 0 | 7.25 | 7.50 | 7.75 | 10.00 | ▁▁▁▇▁ |
| moisture | 0 | 1 | 0.09 | 0.05 | 0 | 0.10 | 0.11 | 0.12 | 0.20 | ▂▁▇▁▁ |
| category_one_defects | 0 | 1 | 0.37 | 1.85 | 0 | 0.00 | 0.00 | 0.00 | 31.00 | ▇▁▁▁▁ |
| quakers | 0 | 1 | 0.14 | 0.72 | 0 | 0.00 | 0.00 | 0.00 | 11.00 | ▇▁▁▁▁ |
| category_two_defects | 0 | 1 | 3.54 | 5.27 | 0 | 0.00 | 2.00 | 4.00 | 47.00 | ▇▁▁▁▁ |
| altitude_mean_meters | 0 | 1 | 1775.05 | 8672.54 | 1 | 1100.00 | 1310.64 | 1600.00 | 190164.00 | ▇▁▁▁▁ |
LASSO
## # A tibble: 16 x 3
## term estimate penalty
## <chr> <dbl> <dbl>
## 1 (Intercept) 82.0 0.1
## 2 aroma 0.379 0.1
## 3 flavor 0.463 0.1
## 4 aftertaste 0.451 0.1
## 5 acidity 0.384 0.1
## 6 body 0.371 0.1
## 7 balance 0.446 0.1
## 8 uniformity 0.540 0.1
## 9 clean_cup 0.721 0.1
## 10 sweetness 0.525 0.1
## 11 cupper_points 0.445 0.1
## 12 moisture 0 0.1
## 13 category_one_defects 0 0.1
## 14 quakers 0 0.1
## 15 category_two_defects 0 0.1
## 16 altitude_mean_meters 0 0.1
## # A tibble: 2 x 4
## .metric .estimator .estimate .config
## <chr> <chr> <dbl> <chr>
## 1 rmse standard 0.0906 Preprocessor1_Model1
## 2 rsq standard 1.00 Preprocessor1_Model1Ridge
## # A tibble: 16 x 3
## term estimate penalty
## <chr> <dbl> <dbl>
## 1 (Intercept) 82.0 0.1
## 2 aroma 0.406 0.1
## 3 flavor 0.442 0.1
## 4 aftertaste 0.443 0.1
## 5 acidity 0.407 0.1
## 6 body 0.400 0.1
## 7 balance 0.440 0.1
## 8 uniformity 0.540 0.1
## 9 clean_cup 0.684 0.1
## 10 sweetness 0.536 0.1
## 11 cupper_points 0.453 0.1
## 12 moisture -0.00269 0.1
## 13 category_one_defects -0.0122 0.1
## 14 quakers 0.00430 0.1
## 15 category_two_defects -0.0159 0.1
## 16 altitude_mean_meters -0.00190 0.1
## # A tibble: 2 x 4
## .metric .estimator .estimate .config
## <chr> <chr> <dbl> <chr>
## 1 rmse standard 0.123 Preprocessor1_Model1
## 2 rsq standard 0.999 Preprocessor1_Model1syncronous machine
## Rows: 557
## Columns: 5
## $ iy <dbl> 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3, 3,~
## $ pf <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 1, 1, 1, 1,~
## $ e <dbl> 66, 68, 7, 72, 74, 76, 78, 8, 82, 84, 86, 88, 9, 92, 94, 96, 9~
## $ d_if <dbl> 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 66, 68, ~
## $ if_sinc <dbl> 34, 32, 3, 28, 26, 24, 22, 2, 18, 16, 14, 12, 1, 8, 6, 4, 2, 3~| Name | dat |
| Number of rows | 557 |
| Number of columns | 5 |
| _______________________ | |
| Column type frequency: | |
| numeric | 5 |
| ________________________ | |
| Group variables | None |
Variable type: numeric
| skim_variable | n_missing | complete_rate | mean | sd | p0 | p25 | p50 | p75 | p100 | hist |
|---|---|---|---|---|---|---|---|---|---|---|
| iy | 0 | 1 | 4.06 | 0.88 | 3 | 3 | 4 | 5 | 6 | ▇▇▁▇▁ |
| pf | 0 | 1 | 4.36 | 2.94 | 0 | 2 | 4 | 7 | 9 | ▇▇▇▇▇ |
| e | 0 | 1 | 9.55 | 26.44 | 0 | 0 | 0 | 0 | 99 | ▇▁▁▁▁ |
| d_if | 0 | 1 | 63.68 | 34.90 | 0 | 65 | 77 | 88 | 99 | ▅▁▁▆▇ |
| if_sinc | 0 | 1 | 2.27 | 7.51 | 0 | 0 | 0 | 0 | 76 | ▇▁▁▁▁ |
LASSO
## # A tibble: 5 x 3
## term estimate penalty
## <chr> <dbl> <dbl>
## 1 (Intercept) 2.10 0.1
## 2 iy 0.224 0.1
## 3 pf -0.597 0.1
## 4 e 3.66 0.1
## 5 d_if -1.31 0.1
## # A tibble: 2 x 4
## .metric .estimator .estimate .config
## <chr> <chr> <dbl> <chr>
## 1 rmse standard 5.40 Preprocessor1_Model1
## 2 rsq standard 0.522 Preprocessor1_Model1Ridge
## # A tibble: 5 x 3
## term estimate penalty
## <chr> <dbl> <dbl>
## 1 (Intercept) 2.10 0.1
## 2 iy 0.369 0.1
## 3 pf -0.734 0.1
## 4 e 3.33 0.1
## 5 d_if -1.47 0.1
## # A tibble: 2 x 4
## .metric .estimator .estimate .config
## <chr> <chr> <dbl> <chr>
## 1 rmse standard 5.40 Preprocessor1_Model1
## 2 rsq standard 0.523 Preprocessor1_Model1