Email *

Calculation type *

Classification

Regression

Dataset (max. 2MB) *

Model options *

ANN DT KNN RF
RLF RP SVM XGBOOST

Data pre-processing

Box-Cox Binarizer Scaler Max ABS
Scaler Min Max Normalize Polynomial Features
Scaler Scaler + Max ABS Scaler + Min Max + Binarizer
Scaler + Min Max Quantile Transformer Yeo-Jonhson

Unbalanced datasets

Random Oversampling SMOTE
ADASYN Class Penalty

Cross-validation (only for ANN)

Group K-Fold K-Fold Leave One Out
Repeated K-Fold Shuffle Split Stratified K-Fold

Data used for training [50-90]%

Seed for generation of random numbers



UCAMH2020NLHPC