• Learn: 0.0002710755693
    Test: 0.1850053337
  • Learning time: 19 seconds
  • Feature names: Battery power, Bluetooth, Clock Speed, Dual sim, Front Cam Megapixel, 4G, Memory (GB), Mobile Depth (cm), Mobile Weight, Number of cores, Primary Camera megapixel, Pixel Resolution Height, Pixel Resolution Width, RAM, Screen Height (cm), Screen Width (cm), Talk time, 3G, Touch screen, Wifi
  • Feature importance:
  • Battery power: 15.17%
    Bluetooth: 0.13%
    Clock Speed: 1.64%
    Dual sim: 0.57%
    Front Cam Megapixel: 1.02%
    4G: 0.9%
    Memory (GB): 1.54%
    Mobile Depth (cm): 1.56%
    Mobile Weight: 2.34%
    Number of cores: 0.83%
    Primary Camera megapixel: 1.6%
    Pixel Resolution Height: 6.37%
    Pixel Resolution Width: 6.07%
    RAM: 53.36%
    Screen Height (cm): 2.29%
    Screen Width (cm): 2.16%
    Talk time: 1.73%
    3G: 0.31%
    Touch screen: 0.31%
    Wifi: 0.11%
  • Model Size: 21.86 MB
  • Data Size: 0.2 MB
  • Algorithm: CatBoost (Gradient Boosting)
  • Tree Count: 2222
  • 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=3:TargetBorderType=MinEntropy:Prior=0/1:Prior=0.5/1:Prior=1/1', 'Counter:CtrBorderCount=15:CtrBorderType=Uniform:Prior=0/1']
  • iterations: 2222
  • 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=3: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: ['High', 'Low', 'Too high', 'Too low']
  • random_seed: 0
  • depth: 8
  • 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: 256
  • permutation_count: 4

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