newly trained model on only pinnicale odds

=====================================================
Fold #1
training score 0.6823542378485616
testing score 0.6333186425738211
validation score 0.632
              precision    recall  f1-score   support

           0       0.63      0.71      0.67      1172
           1       0.64      0.55      0.59      1097

   micro avg       0.63      0.63      0.63      2269
   macro avg       0.63      0.63      0.63      2269
weighted avg       0.63      0.63      0.63      2269

=====================================================
=====================================================
Fold #2
training score 0.6858811859362945
testing score 0.6377258704275011
validation score 0.6212
              precision    recall  f1-score   support

           0       0.63      0.72      0.67      1172
           1       0.65      0.55      0.59      1097

   micro avg       0.64      0.64      0.64      2269
   macro avg       0.64      0.63      0.63      2269
weighted avg       0.64      0.64      0.63      2269

=====================================================
=====================================================
Fold #3
training score 0.6674749256034388
testing score 0.6403702071397092
validation score 0.63
              precision    recall  f1-score   support

           0       0.63      0.72      0.67      1172
           1       0.65      0.56      0.60      1097

   micro avg       0.64      0.64      0.64      2269
   macro avg       0.64      0.64      0.64      2269
weighted avg       0.64      0.64      0.64      2269

=====================================================
=====================================================
Fold #4
training score 0.6660789067665859
testing score 0.6591710758377425
validation score 0.6316
              precision    recall  f1-score   support

           0       0.65      0.72      0.69      1171
           1       0.66      0.60      0.63      1097

   micro avg       0.66      0.66      0.66      2268
   macro avg       0.66      0.66      0.66      2268
weighted avg       0.66      0.66      0.66      2268

=====================================================
=====================================================
Fold #5
training score 0.6654545454545454
testing score 0.6475518306131451
validation score 0.6348
              precision    recall  f1-score   support

           0       0.64      0.73      0.68      1171
           1       0.66      0.56      0.60      1096

   micro avg       0.65      0.65      0.65      2267
   macro avg       0.65      0.64      0.64      2267
weighted avg       0.65      0.65      0.64      2267

=====================================================

kfold train scores mean 0.6734487603218853
kfold train scores [0.6823542378485616, 0.6858811859362945, 0.6674749256034388, 0.6660789067665859, 0.6654545454545454]
kfold test score mean 0.6436275253183839
kfold test scores [0.6333186425738211, 0.6377258704275011, 0.6403702071397092, 0.6591710758377425, 0.6475518306131451]
validation scores mean 0.62992
validation scores [0.632, 0.6212, 0.63, 0.6316, 0.6348]

Model on full data(train/test)
train score 0.6745826475429109
test score 0.6435119887165022
validation score 0.6408


test report:
              precision    recall  f1-score   support

           0       0.65      0.70      0.68      1496
           1       0.64      0.58      0.60      1340

   micro avg       0.64      0.64      0.64      2836
   macro avg       0.64      0.64      0.64      2836
weighted avg       0.64      0.64      0.64      2836

validation data report:
              precision    recall  f1-score   support

           0       0.64      0.68      0.66      1277
           1       0.64      0.60      0.62      1223

   micro avg       0.64      0.64      0.64      2500
   macro avg       0.64      0.64      0.64      2500
weighted avg       0.64      0.64      0.64      2500


validation brier score 0.22293793406937198
book brier score 0.25046488341199996