NBA spread model training, validation and backtest results

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Fold #1
training score 0.651458653213424
testing score 0.6412280701754386
validation score 0.6292
              precision    recall  f1-score   support

           0       0.65      0.67      0.66      1177
           1       0.63      0.61      0.62      1103

   micro avg       0.64      0.64      0.64      2280
   macro avg       0.64      0.64      0.64      2280
weighted avg       0.64      0.64      0.64      2280

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Fold #2
training score 0.6760254441763545
testing score 0.6333333333333333
validation score 0.6292
              precision    recall  f1-score   support

           0       0.62      0.76      0.68      1177
           1       0.66      0.50      0.57      1103

   micro avg       0.63      0.63      0.63      2280
   macro avg       0.64      0.63      0.62      2280
weighted avg       0.64      0.63      0.63      2280

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Fold #3
training score 0.6613292388681729
testing score 0.6285087719298246
validation score 0.6208
              precision    recall  f1-score   support

           0       0.62      0.71      0.67      1177
           1       0.64      0.54      0.58      1103

   micro avg       0.63      0.63      0.63      2280
   macro avg       0.63      0.63      0.62      2280
weighted avg       0.63      0.63      0.63      2280

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Fold #4
training score 0.6614760390393684
testing score 0.6476524791575252
validation score 0.6336
              precision    recall  f1-score   support

           0       0.65      0.69      0.67      1176
           1       0.64      0.61      0.62      1103

   micro avg       0.65      0.65      0.65      2279
   macro avg       0.65      0.65      0.65      2279
weighted avg       0.65      0.65      0.65      2279

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Fold #5
training score 0.6648755345980919
testing score 0.6524791575252303
validation score 0.6392
              precision    recall  f1-score   support

           0       0.65      0.70      0.68      1176
           1       0.65      0.60      0.62      1103

   micro avg       0.65      0.65      0.65      2279
   macro avg       0.65      0.65      0.65      2279
weighted avg       0.65      0.65      0.65      2279

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kfold train scores mean 0.6630329819790823
kfold train scores [0.651458653213424, 0.6760254441763545, 0.6613292388681729, 0.6614760390393684, 0.6648755345980919]
kfold test score mean 0.6406403624242704
kfold test scores [0.6412280701754386, 0.6333333333333333, 0.6285087719298246, 0.6476524791575252, 0.6524791575252303]
validation scores mean 0.6304000000000001
validation scores [0.6292, 0.6292, 0.6208, 0.6336, 0.6392]

Full data results:
train score 0.6706832007487131
test score 0.655438596491228
validation score 0.6384

validation brier score 0.30502041562367965
book brier score 0.251380321448
test report:
              precision    recall  f1-score   support

           0       0.64      0.72      0.68      1452
           1       0.67      0.58      0.62      1398

   micro avg       0.66      0.66      0.66      2850
   macro avg       0.66      0.65      0.65      2850
weighted avg       0.66      0.66      0.65      2850

validation report:
              precision    recall  f1-score   support

           0       0.64      0.67      0.65      1281
           1       0.63      0.61      0.62      1219

   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 back test results:
starting bankroll $500.00  ending bankroll $2508472.14
wins 1596.0 losses 904.0 win percent 0.6384