'AxisError: axis 1 is out of bounds for array of dimension 1 when calculating roc_auc_score
rf = RandomForestClassifier(max_features=5, n_estimators=500)
rf.fit(d2_train_dataset, Y_train)
nb = GaussianNB()
nb.fit(d2_train_dataset, Y_train)
rf_probs = rf.predict_proba(d2_train_dataset)
nb_probs = nb.predict_proba(d2_train_dataset)
rf_probs = rf_probs[:, 1]
nb_probs = nb_probs[:, 1]
rf_auc = roc_auc_score(Y_test, rf_probs,multi_class="ovo")
nb_auc = roc_auc_score(Y_test, nb_probs,multi_class="ovo")
then this is the error "AxisError: axis 1 is out of bounds for array of dimension 1" in this cell
rf_auc = roc_auc_score(Y_test, rf_probs,multi_class="ovo")
nb_auc = roc_auc_score(Y_test, nb_probs,multi_class="ovo")
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