cross-validation

问题 I have an imbalanced dataset containing binary classification problem.I have built Random Forest Classifier and used k fold cross validation with 10 folds. kfold = model_selection.KFold(n_splits=10, random_state=42) model=RandomForestClassifier(n_estimators=50) I got the results of the 10 folds results = model_selection.cross_val_score(model,features,labels, cv=kfold) print results [ 0.60666667 0.60333333 0.52333333 0.73 0.75333333 0.72 0.7 0.73 0.83666667 0.88666667] I have calculated

问题 I really need to find ROC plot for each folds in a 5 fold cross-validation using Keras ANN. I have tried the code from the following link [https://scikit-learn.org/stable/auto_examples/model_selection/plot_roc_crossval.html#sphx-glr-auto-examples-model-selection-plot-roc-crossval-py][1] It works perfectly fine when I'm using the svm classifier as shown here. But when I want to use wrapper to use Keras ANN model it shows errors. I am stuck with this for months now. Can anyone please help me

问题 I am trying to do a cross validation on a k-nn classifier and I am confused about which of the following two methods below conducts cross validation correctly. training_scores = defaultdict(list) validation_f1_scores = defaultdict(list) validation_precision_scores = defaultdict(list) validation_recall_scores = defaultdict(list) validation_scores = defaultdict(list) def model_1(seed, X, Y): np.random.seed(seed) scoring = ['accuracy', 'f1_macro', 'precision_macro', 'recall_macro'] model =

问题 I am trying to do a cross validation on a k-nn classifier and I am confused about which of the following two methods below conducts cross validation correctly. training_scores = defaultdict(list) validation_f1_scores = defaultdict(list) validation_precision_scores = defaultdict(list) validation_recall_scores = defaultdict(list) validation_scores = defaultdict(list) def model_1(seed, X, Y): np.random.seed(seed) scoring = ['accuracy', 'f1_macro', 'precision_macro', 'recall_macro'] model =

来源： https://stackoverflow.com/questions/64617170/confusion-matrix-for-10-cross-fold-how-to-do-it-pandas-dataframe-df

来源： https://stackoverflow.com/questions/64617170/confusion-matrix-for-10-cross-fold-how-to-do-it-pandas-dataframe-df

来源： https://stackoverflow.com/questions/60996995/use-groupkfold-in-nested-cross-validation-using-sklearn

来源： https://stackoverflow.com/questions/60996995/use-groupkfold-in-nested-cross-validation-using-sklearn

来源： https://stackoverflow.com/questions/60996995/use-groupkfold-in-nested-cross-validation-using-sklearn

来源： https://stackoverflow.com/questions/60996995/use-groupkfold-in-nested-cross-validation-using-sklearn