Titanic data
| Survived | Pclass | Sex | Age | SibSp | Parch | Fare | Embarked |
|---|---|---|---|---|---|---|---|
| 0 | 3 | male | 22 | 1 | 0 | 7.250 | S |
| 1 | 1 | female | 38 | 1 | 0 | 71.283 | C |
| 1 | 3 | female | 26 | 0 | 0 | 7.925 | S |
| 1 | 1 | female | 35 | 1 | 0 | 53.100 | S |
| 0 | 3 | male | 35 | 0 | 0 | 8.050 | S |
| 0 | 3 | male | NA | 0 | 0 | 8.458 | Q |
Multipla logistična regresija
Končni model
Končni model je določen v koračni metod. Tu se izvede statistična analiza končnega modela.
| VarName | OR | CI95 | pval |
|---|---|---|---|
| Sexmale | 0.082 | [0.052, 0.130] | 0.000 |
| Pclass2 | 0.218 | [0.118, 0.404] | 0.000 |
| Pclass3 | 0.060 | [0.032, 0.112] | 0.000 |
| Age | 0.955 | [0.938, 0.972] | 0.000 |
| SibSp | 0.749 | [0.582, 0.962] | 0.024 |
Validacija
## Confusion Matrix and Statistics
##
## Reference
## Prediction 0 1
## 0 72 19
## 1 6 36
##
## Accuracy : 0.812
## 95% CI : (0.7352, 0.8745)
## No Information Rate : 0.5865
## P-Value [Acc > NIR] : 2.564e-08
##
## Kappa : 0.5985
##
## Mcnemar's Test P-Value : 0.0164
##
## Sensitivity : 0.6545
## Specificity : 0.9231
## Pos Pred Value : 0.8571
## Neg Pred Value : 0.7912
## Precision : 0.8571
## Recall : 0.6545
## F1 : 0.7423
## Prevalence : 0.4135
## Detection Rate : 0.2707
## Detection Prevalence : 0.3158
## Balanced Accuracy : 0.7888
##
## 'Positive' Class : 1
## ROC krivulja
ML model
## Created from 581 samples and 19 variables
##
## Pre-processing:
## - centered (19)
## - ignored (0)
## - 5 nearest neighbor imputation (19)
## - scaled (19)## [12:23:52] WARNING: amalgamation/../src/objective/regression_obj.cu:188: reg:linear is now deprecated in favor of reg:squarederror.
## [1] train-rmse:0.750784
## [2] train-rmse:0.577628
## [3] train-rmse:0.463238
## [4] train-rmse:0.386368
## [5] train-rmse:0.338873
## [6] train-rmse:0.306742
## [7] train-rmse:0.288635
## [8] train-rmse:0.278576
## [9] train-rmse:0.263796
## [10] train-rmse:0.258578Validacija
Klasifikacija
## Confusion Matrix and Statistics
##
## Reference
## Prediction 0 1
## 0 101 25
## 1 8 43
##
## Accuracy : 0.8136
## 95% CI : (0.7483, 0.8681)
## No Information Rate : 0.6158
## P-Value [Acc > NIR] : 1.058e-08
##
## Kappa : 0.5865
##
## Mcnemar's Test P-Value : 0.005349
##
## Sensitivity : 0.6324
## Specificity : 0.9266
## Pos Pred Value : 0.8431
## Neg Pred Value : 0.8016
## Precision : 0.8431
## Recall : 0.6324
## F1 : 0.7227
## Prevalence : 0.3842
## Detection Rate : 0.2429
## Detection Prevalence : 0.2881
## Balanced Accuracy : 0.7795
##
## 'Positive' Class : 1
## ROC krivulja
SHAP analiza
