@@ -546,7 +546,7 @@ define([
546546name :'roc_curve' ,
547547label :'ROC Curve' ,
548548import :'from sklearn import metrics' ,
549- code :"fpr, tpr, thresholds = metrics.roc_curve(${roc_targetData}, ${model}.predict_proba(${roc_featureData}))\n\
549+ code :"fpr, tpr, thresholds = metrics.roc_curve(${roc_targetData}, ${model}.predict_proba(${roc_featureData})[:, 1] )\n\
550550plt.plot(fpr, tpr, label='ROC Curve')\n\
551551plt.xlabel('Sensitivity')\n\
552552plt.ylabel('Specificity')\n\
@@ -561,7 +561,7 @@ plt.show()",
561561name :'auc' ,
562562label :'AUC' ,
563563import :'from sklearn import metrics' ,
564- code :'metrics.roc_auc_score(${auc_targetData}, ${model}.predict_proba(${auc_featureData}))' ,
564+ code :'metrics.roc_auc_score(${auc_targetData}, ${model}.predict_proba(${auc_featureData})[:, 1] )' ,
565565description :'' ,
566566options :[
567567{ name :'auc_targetData' , label :'Target Data' , component :[ 'var_select' ] , var_type :[ 'DataFrame' , 'Series' , 'ndarray' , 'list' , 'dict' ] , value :'y_test' } ,