• Learn: 0.1948811598
    Test: 0.2437419372
  • Learning time: 46 seconds
  • Feature names: BMI, Smoking, AlcoholDrinking, Stroke, PhysicalHealth, MentalHealth, DiffWalking, Sex, AgeCategory, Race, Diabetic, PhysicalActivity, GenHealth, SleepTime, Asthma, KidneyDisease, SkinCancer
  • Feature importance:
  • BMI: 12.77%
    Smoking: 3.21%
    AlcoholDrinking: 0.84%
    Stroke: 4.01%
    PhysicalHealth: 6.87%
    MentalHealth: 5.25%
    DiffWalking: 3.91%
    Sex: 5.92%
    AgeCategory: 21.15%
    Race: 3.97%
    Diabetic: 5.06%
    PhysicalActivity: 2.09%
    GenHealth: 12.76%
    SleepTime: 6.49%
    Asthma: 1.61%
    KidneyDisease: 2.41%
    SkinCancer: 1.7%
  • Model Size: 0.78 MB
  • Data Size: 24.02 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
  • 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: 8
  • force_unit_auto_pair_weights: False
  • l2_leaf_reg: 3
  • random_strength: 1
  • rsm: 1
  • boost_from_average: False
  • 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': {}}
  • use_best_model: False
  • class_names: ['No', 'Yes']
  • random_seed: 0
  • depth: 6
  • ctr_target_border_count: 1
  • posterior_sampling: False
  • has_time: False
  • store_all_simple_ctr: 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: 64
  • permutation_count: 4

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