Cars — Hyperparameter Tuning Report

2026-09-07 05:13

LightGBM · Colombia

Optimization History

Best value vs trial

Optimization timeline

Empirical distribution

Hyperparameter Importance

Importance table

Hyperparameter Importance
parameter importance
learning_rate 0.4191
n_estimators 0.2263
max_depth 0.1973
colsample_bytree 0.0514
subsample 0.0374
num_leaves 0.0294
min_child_samples 0.0283
reg_alpha 7.77e-03
reg_lambda 3.20e-03

Importance plot

Hyperparameter Importance

Importance table

Hyperparameter Importance
parameter importance
learning_rate 0.4191
n_estimators 0.2263
max_depth 0.1973
colsample_bytree 0.0514
subsample 0.0374
num_leaves 0.0294
min_child_samples 0.0283
reg_alpha 7.77e-03
reg_lambda 3.20e-03

Importance plot

Exploration Space

Parallel coordinates

Slice (all parameters)

Rank (top 2 params)

Slice (top parameters)