Model Info

Learn: 145.6843044
Test: 272.2198394
Learning time: 0 second
Feature names: Company, TypeName, Inches, ScreenResolution, Ram, Memory, OpSys
Feature importance:
Company: 6.54%
TypeName: 15.72%
Inches: 11.18%
ScreenResolution: 7.39%
Ram: 45.35%
Memory: 9.66%
OpSys: 4.17%
Model Size: 1.01 MB
Data Size: 0.19 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: RMSE
combinations_ctr: ['Borders:CtrBorderCount=15:CtrBorderType=Uniform:TargetBorderCount=1:TargetBorderType=MinEntropy:Prior=0/1:Prior=0.5/1:Prior=1/1', 'Counter:CtrBorderCount=15:CtrBorderType=Uniform:Prior=0/1']
iterations: 500
sampling_frequency: PerTree
fold_permutation_block: 0
leaf_estimation_method: Newton
counter_calc_method: SkipTest
grow_policy: SymmetricTree
penalties_coefficient: 1
boosting_type: Plain
model_shrink_mode: Constant
feature_border_type: GreedyLogSum
ctr_leaf_count_limit: 18446744073709551615
bayesian_matrix_reg: 0.1000000015
one_hot_max_size: 40
force_unit_auto_pair_weights: False
l2_leaf_reg: 3
random_strength: 1
rsm: 1
boost_from_average: True
max_ctr_complexity: 4
model_size_reg: 0.5
simple_ctr: ['Borders:CtrBorderCount=15:CtrBorderType=Uniform:TargetBorderCount=1:TargetBorderType=MinEntropy:Prior=0/1:Prior=0.5/1:Prior=1/1', 'Counter:CtrBorderCount=15:CtrBorderType=Uniform:Prior=0/1']
pool_metainfo_options: {'tags': {}}
subsample: 0.8000000119
use_best_model: False
random_seed: 0
depth: 7
ctr_target_border_count: 1
posterior_sampling: False
has_time: False
store_all_simple_ctr: False
border_count: 254
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: RMSE
learning_rate: 1
score_function: Cosine
task_type: CPU
leaf_estimation_iterations: 1
bootstrap_type: MVS
max_leaves: 128
permutation_count: 4