Cars — Hyperparameter Tuning Report

2026-05-11 05:09

LightGBM · Colombia

Optimization History

Best value vs trial

Optimization timeline

Empirical distribution

Hyperparameter Importance

Importance table

Hyperparameter Importance
parameter importance
learning_rate 0.6020
max_depth 0.2864
reg_alpha 0.0311
n_estimators 0.0267
colsample_bytree 0.0221
num_leaves 0.0132
min_child_samples 8.85e-03
subsample 7.96e-03
reg_lambda 1.67e-03

Importance plot

Hyperparameter Importance

Importance table

Hyperparameter Importance
parameter importance
learning_rate 0.6020
max_depth 0.2864
reg_alpha 0.0311
n_estimators 0.0267
colsample_bytree 0.0221
num_leaves 0.0132
min_child_samples 8.85e-03
subsample 7.96e-03
reg_lambda 1.67e-03

Importance plot

Exploration Space

Parallel coordinates

Slice (all parameters)

Rank (top 2 params)

Slice (top parameters)