Random Forest
Random Forest Configuration
# Trees:
Max Depth:
Min Samples Leaf:
Min Samples Split:
Max Features (
auto
):
Task Type:
Classification
Regression
Split Criterion:
Gini
Entropy
MSE
Variance Reduction
Create Forest
Data Input / Generation
Input Features:
Output Classes:
# Samples per Class:
Generate Synthetic Data
Load CSV
Or paste CSV:
Load pasted CSV
Normalize features to [0,1]
Save/Load Forest
Save Forest (.json)
Load Forest (.json)
Training
Train Forest
Model Evaluation
OOB Error
Feature Importances
Predict
Input (comma separated):
Predict