Ensemble Models 1
Voting, Bagging, Random Forest, Boosting, GBM
Voting, Bagging, Random Forest, Boosting, GBM
동작 원리, 하이퍼 파라미터, 시각화, 피처 중요도
Accuracy, Confusion Matrix, Precision, Recall, F1 Score, ROC-AUC
StandardScaler, MinMaxScaler, MaxAbsScaler, RobustScaler
Mean target encoding
One-Hot encoding, Label encoding
GridSearch CV
K-Fold CV, LOOCV, Stratified K-Fold CV
train_test_split(): train data / test data
sklearn.datasets