9954194
6892
Scikit-learn Bot
14967
Supervised Classification
8890
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(numeric=sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,standardscaler=sklearn.preprocessing.data.StandardScaler),nominal=sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),variancethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,gradientboostingclassifier=sklearn.ensemble.gradient_boosting.GradientBoostingClassifier)(3)
7882107
memory
null
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null
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transformer_weights
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memory
null
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axis
0
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copy
true
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missing_values
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strategy
"most_frequent"
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verbose
0
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true
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with_std
true
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memory
null
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true
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-1
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missing_values
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strategy
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verbose
0
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categorical_features
null
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categories
null
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dtype
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handle_unknown
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0.0
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criterion
"friedman_mse"
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init
null
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learning_rate
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loss
"deviance"
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max_depth
2
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max_features
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max_leaf_nodes
null
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min_impurity_decrease
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min_impurity_split
null
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min_samples_split
10
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min_weight_fraction_leaf
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130
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867
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presort
"auto"
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random_state
23150
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subsample
0.461733798438573
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tol
2.2502946336482954e-05
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validation_fraction
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verbose
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warm_start
false
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openml-python
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cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
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description
https://api.openml.org/data/download/20828903/description.xml
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predictions
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average_cost
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kappa
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precision
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predictive_accuracy
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relative_absolute_error
0.8941467152557488
root_mean_prior_squared_error
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0.9500860731024158
total_cost
0
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.7122673658794051 [0.681695,0.595528,0.735502,0.637255,0.834677,0.818311]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.700570256836029 [0.619725,0.606723,0.722888,0.587547,0.915863,0.811802]
area_under_roc_curve
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0
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0
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0
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0
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0
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0
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0
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0
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f_measure
0.34147987453361733 [0.368421,0.046512,0.45614,0.2,0.516129,0.367347]
f_measure
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f_measure
0.2955409758330449 [0.311927,0.046512,0.490566,0.09375,0.449438,0.232558]
f_measure
0.340793833475997 [0.288462,0.291667,0.42487,0.235294,0.505495,0.25641]
f_measure
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f_measure
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f_measure
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f_measure
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
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kappa
0.23340628444543843
kappa
0.18731794756889986
kb_relative_information_score
55.39535877808637
kb_relative_information_score
65.90607742655534
kb_relative_information_score
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kb_relative_information_score
58.42979875424478
kb_relative_information_score
58.28140823641381
kb_relative_information_score
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kb_relative_information_score
61.05464802850852
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57.12569922098774
kb_relative_information_score
62.77276536053221
kb_relative_information_score
62.06481908997538
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0.2446972997137193
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number_of_instances
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number_of_instances
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number_of_instances
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number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
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279 [57,34,68,51,42,27]
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precision
0.3252968108231266 [0.378378,0.333333,0.386555,0.272727,0.285714,0.210526]
precision
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precision
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precision
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precision
0.3717307829851308 [0.326087,0.5,0.328,0.30303,0.46,0.416667]
precision
0.28870302255586155 [0.360656,0.333333,0.365217,0.0625,0.338462,0.235294]
precision
0.35143442567255934 [0.223881,0.363636,0.392405,0.294118,0.592593,0.235294]
precision
0.2988485326218772 [0.26,0.125,0.330827,0.25,0.410714,0.4375]
precision
0.3388331804056057 [0.291139,0.125,0.416667,0.230769,0.478261,0.5]
precision
0.3067875316584179 [0.305882,0.2,0.353535,0.153846,0.431034,0.421053]
predictive_accuracy
0.3357142857142857
predictive_accuracy
0.3678571428571428
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0.3607142857142857
predictive_accuracy
0.35
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0.3607142857142857
predictive_accuracy
0.33214285714285713
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0.36200716845878134
predictive_accuracy
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2.5206634795042744
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2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
recall
0.3357142857142857 [0.241379,0.088235,0.676471,0.176471,0.439024,0.142857]
recall
0.3678571428571429 [0.362069,0.029412,0.573529,0.176471,0.585366,0.321429]
recall
0.3607142857142857 [0.189655,0.029412,0.720588,0.156863,0.658537,0.178571]
recall
0.35 [0.293103,0.029412,0.764706,0.058824,0.487805,0.178571]
recall
0.3607142857142857 [0.258621,0.205882,0.602941,0.192308,0.560976,0.185185]
recall
0.33214285714285713 [0.37931,0.057143,0.617647,0.019608,0.536585,0.148148]
recall
0.36200716845878134 [0.263158,0.117647,0.455882,0.294118,0.761905,0.148148]
recall
0.32974910394265233 [0.22807,0.029412,0.647059,0.078431,0.547619,0.259259]
recall
0.3835125448028674 [0.403509,0.029412,0.588235,0.058824,0.785714,0.259259]
recall
0.34767025089605735 [0.45614,0.029412,0.514706,0.039216,0.595238,0.296296]
relative_absolute_error
0.9050834972871203
relative_absolute_error
0.8826127112454951
relative_absolute_error
0.8896749361750803
relative_absolute_error
0.8973830096305933
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0.8969701327067194
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0.901787300832398
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0.8860249759016807
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0.9009510100837756
relative_absolute_error
0.8902222542879217
relative_absolute_error
0.8907272728935012
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36940459271455434
root_mean_prior_squared_error
0.36926827610333357
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0.36936606105183667
root_mean_prior_squared_error
0.3693636368423697
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0.3693636368423697
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0.35566866125241564
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0.3475894420370896
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0.34868454599324494
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0.3501102929195328
root_mean_squared_error
0.3514002413296267
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0.3564040777433286
root_mean_squared_error
0.3477272075892642
root_mean_squared_error
0.35320976123079423
root_mean_squared_error
0.3490793026787483
root_mean_squared_error
0.3493211732439669
root_relative_squared_error
0.9628160241289889
root_relative_squared_error
0.9409451016373213
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0.94390961257669
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0.9477691935196632
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0.9516123210954988
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0.9414224165700991
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0.9562656580120545
root_relative_squared_error
0.9450830235021809
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0.9457378539757118
total_cost
0
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