Random Forest Hyperparameters
Search for the random forest settings that classify data best.
Random Forest
Hyperparameters
Tune the forest size and shape to push classification accuracy higher.
Input
xi
Forest
majority vote
Predicted
class A
Each chromosome encodes (n_estimators, max_depth, min_samples_split, …); fitness = accuracy.
Run this yourself, for free
Sign in to configure and launch a genetic algorithm against this problem, or bring your own.
Get started