Cars — Hyperparameter Tuning Report

2026-10-26 05:12

LightGBM · Colombia

Optimization History

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Best value vs trial

Optimization timeline

Empirical distribution

Hyperparameter Importance

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Importance table

Hyperparameter Importance
parameter importance
max_depth 0.3048
learning_rate 0.2980
reg_alpha 0.1609
n_estimators 0.1137
colsample_bytree 0.0361
subsample 0.0248
min_child_samples 0.0219
num_leaves 0.0201
reg_lambda 0.0197

Importance plot

Hyperparameter Importance

ℹ

Importance table

Hyperparameter Importance
parameter importance
max_depth 0.3048
learning_rate 0.2980
reg_alpha 0.1609
n_estimators 0.1137
colsample_bytree 0.0361
subsample 0.0248
min_child_samples 0.0219
num_leaves 0.0201
reg_lambda 0.0197

Importance plot

Exploration Space

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Parallel coordinates

Slice (all parameters)

Rank (top 2 params)

Slice (top parameters)