class-imbalance-handling 6 feature-scaling 2 f1-score 2 data-analysis 2 logistic-regression 2 k-nearest-neighbors 2 light-gradient-boosting-machine 1 naive-bayes 1 near-miss 1 random-oversampling 1 random-undersampling 1 resampling-methods 1 smote-enn 1 tensorflow 1 data-cleaning 1 data-visualisation 1 feature-engineering 1 feature-importance 1 k-means 1 credit-card-fraud 1 xgboost 1 svm 1 support-vector-machine 1 smote 1 random-forest-classifier 1 python 1 outlier-removal 1 ml 1 machine-learning 1 k-nn 1 feature-selection 1 dataset 1 data-splitting 1 cross-validation 1 catboost 1 model-training 1 model-deployment 1 hyperparameter-tuning 1 downsampling 1 data-upload 1 confusion-matrix 1 marketing-analytics 1 k-fold-cross-validation 1 decision-trees 1 classification 1 yeo-johnson-transformations 1 winsorization 1 supervised-learning-algorithms 1 stratified-cross-validation 1 robustscaler 1 multicollinearity 1 machinelearning-python 1 hyperparameter-optimization 1 evaluation-metrics 1 classification-algorithm 1 binary-classification 1 balanced-bagging 1 adasyn 1 upsampling 1 tpr 1 supervised-learning 1 roc-curve 1 regression-metrics 1 recall 1 precision 1 pr-curve 1 ordinal-encoding 1 one-hot-encoding 1 label-encoding 1 imbalanced-classification 1 fpr 1 feature-prep 1