Model Info

Learn: 0.1196959036
Test: 0.2586355216
Learning time: 2 seconds
Feature names: feature_1, feature_2, feature_3, feature_4
Feature importance:
feature_1: 25.42%
feature_2: 42.8%
feature_3: 18.85%
feature_4: 12.92%
Model Size: 5.84 MB
Data Size: 0.06 MB
Algorithm: CatBoost (Gradient Boosting)
Tree Count: 500
Learning Rate: 1
One-Hot Max Size: 8
Test Size: 0.2
Shuffle Data: True
Use Best Model: False
nan_mode: Min
eval_metric: MultiClass
iterations: 500
sampling_frequency: PerTree
leaf_estimation_method: Newton
grow_policy: SymmetricTree
penalties_coefficient: 1
boosting_type: Plain
model_shrink_mode: Constant
feature_border_type: GreedyLogSum
bayesian_matrix_reg: 0.1000000015
force_unit_auto_pair_weights: False
l2_leaf_reg: 3
random_strength: 1
rsm: 1
boost_from_average: False
model_size_reg: 0.5
pool_metainfo_options: {'tags': {}}
use_best_model: False
class_names: ['No', 'Yes']
random_seed: 0
depth: 9
posterior_sampling: False
border_count: 254
bagging_temperature: 1
classes_count: 0
auto_class_weights: None
sparse_features_conflict_fraction: 0
leaf_estimation_backtracking: AnyImprovement
best_model_min_trees: 1
model_shrink_rate: 0
min_data_in_leaf: 1
loss_function: MultiClass
learning_rate: 1
score_function: Cosine
task_type: CPU
leaf_estimation_iterations: 1
bootstrap_type: Bayesian
max_leaves: 512