9954238
6892
Scikit-learn Bot
2074
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)
7882151
memory
null
8890
n_jobs
null
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remainder
"passthrough"
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sparse_threshold
0.3
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transformer_weights
null
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memory
null
8892
axis
0
8893
copy
true
8893
missing_values
"NaN"
8893
strategy
"most_frequent"
8893
verbose
0
8893
copy
true
8894
with_mean
true
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with_std
true
8894
memory
null
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copy
true
8896
fill_value
-1
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missing_values
NaN
8896
strategy
"constant"
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verbose
0
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categorical_features
null
8897
categories
null
8897
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
8897
handle_unknown
"ignore"
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n_values
null
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sparse
true
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threshold
0.0
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criterion
"friedman_mse"
8899
init
null
8899
learning_rate
1.0303919710421832
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loss
"deviance"
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max_depth
8
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max_features
0.5188316965175466
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max_leaf_nodes
null
8899
min_impurity_decrease
0.8067835530347546
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min_impurity_split
null
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min_samples_leaf
15
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min_samples_split
4
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min_weight_fraction_leaf
0.47679726564935676
8899
n_estimators
327
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n_iter_no_change
202
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presort
"auto"
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random_state
11274
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subsample
0.7188975953614104
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tol
0.0009452715594501128
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validation_fraction
0.4864804581105816
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verbose
0
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warm_start
false
8899
openml-python
Sklearn_0.20.2.
182
satimage
https://www.openml.org/data/download/3619/dataset_186_satimage.arff
-1
20828992
description
https://api.openml.org/data/download/20828992/description.xml
-1
20828993
predictions
https://api.openml.org/data/download/20828993/predictions.arff
area_under_roc_curve
0.9423557227878514 [0.958086,0.990614,0.971354,0.895649,0.86397,0.93392]
average_cost
0
f_measure
0.7222226281956521 [0.81403,0.884344,0.841567,0.540494,0.308784,0.715274]
kappa
0.6670598616954603
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4222.013985561851
mean_absolute_error
0.11935075386279835
mean_prior_absolute_error
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number_of_instances
6430 [1531,703,1356,625,707,1508]
precision
0.7308780309635035 [0.923715,0.876923,0.782141,0.578467,0.414286,0.632518]
predictive_accuracy
0.7321928460342145
prior_entropy
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recall
0.7321928460342146 [0.727629,0.891892,0.910767,0.5072,0.24611,0.822944]
relative_absolute_error
0.44184227970707335
root_mean_prior_squared_error
0.3675007345009808
root_mean_squared_error
0.24453081668964824
root_relative_squared_error
0.6653886475130177
total_cost
0
area_under_roc_curve
0.9486799754893877 [0.968841,0.990726,0.972742,0.891968,0.896647,0.934872]
area_under_roc_curve
0.9483742592381565 [0.963645,0.993244,0.974685,0.929365,0.86006,0.937275]
area_under_roc_curve
0.9453843495973182 [0.954535,0.993169,0.97535,0.897578,0.901211,0.927886]
area_under_roc_curve
0.9356629010583568 [0.947472,0.994702,0.965908,0.887589,0.834901,0.936723]
area_under_roc_curve
0.9383719404684414 [0.95881,0.985041,0.971603,0.898454,0.827452,0.935128]
area_under_roc_curve
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area_under_roc_curve
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area_under_roc_curve
0.9414457370740957 [0.964279,0.994829,0.968978,0.883738,0.876207,0.922657]
area_under_roc_curve
0.9342664774614594 [0.939596,0.987541,0.969798,0.890692,0.839456,0.934287]
area_under_roc_curve
0.9396727235272149 [0.951647,0.995383,0.964947,0.874035,0.872999,0.93644]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
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0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
f_measure
0.7777955024207316 [0.836364,0.921986,0.846667,0.571429,0.57485,0.769759]
f_measure
0.7072313172390007 [0.788104,0.873239,0.849498,0.561404,0.204082,0.714286]
f_measure
0.7516746378733737 [0.839416,0.903704,0.850498,0.550459,0.541176,0.686869]
f_measure
0.6783638230200982 [0.755725,0.872483,0.79021,0.507937,0.191489,0.710027]
f_measure
0.7055294479653491 [0.794224,0.888889,0.856164,0.491228,0.207547,0.719547]
f_measure
0.7125601912867456 [0.848921,0.841379,0.853047,0.515152,0.215686,0.702857]
f_measure
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f_measure
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f_measure
0.6851852146385612 [0.776119,0.842105,0.842809,0.5,0.192308,0.685083]
f_measure
0.7188226395732029 [0.81295,0.895105,0.817276,0.522523,0.252632,0.748603]
kappa
0.7248314967369209
kappa
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kappa
0.6918985842388311
kappa
0.6246520850823112
kappa
0.6551572452109357
kappa
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kappa
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kappa
0.6627459727983023
kappa
0.625694852885732
kappa
0.6733741121831601
kb_relative_information_score
434.7645896735337
kb_relative_information_score
422.263420817535
kb_relative_information_score
427.7018454356293
kb_relative_information_score
405.04012682349384
kb_relative_information_score
413.0273854503208
kb_relative_information_score
427.7046565714495
kb_relative_information_score
437.1915875521133
kb_relative_information_score
420.12982294197855
kb_relative_information_score
412.16096005085706
kb_relative_information_score
422.02959024494106
mean_absolute_error
0.11383999998380032
mean_absolute_error
0.11982305027039925
mean_absolute_error
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mean_absolute_error
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mean_absolute_error
0.1233557704502881
mean_absolute_error
0.11786609889240483
mean_absolute_error
0.11204760825753306
mean_absolute_error
0.12063778903330252
mean_absolute_error
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mean_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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mean_prior_absolute_error
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number_of_instances
643 [153,70,136,63,70,151]
number_of_instances
643 [153,70,136,63,70,151]
number_of_instances
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number_of_instances
643 [153,70,135,63,71,151]
number_of_instances
643 [153,70,135,63,71,151]
number_of_instances
643 [154,70,135,62,71,151]
number_of_instances
643 [153,70,136,62,71,151]
number_of_instances
643 [153,71,136,62,71,150]
number_of_instances
643 [153,71,136,62,71,150]
number_of_instances
643 [153,71,136,62,70,151]
precision
0.7934757761881557 [0.942623,0.915493,0.77439,0.653061,0.494845,0.8]
precision
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precision
0.769474218618261 [0.950413,0.938462,0.771084,0.652174,0.464646,0.69863]
precision
0.6968987096938156 [0.908257,0.822785,0.748344,0.507937,0.391304,0.600917]
precision
0.7085359066843456 [0.887097,0.864865,0.796178,0.54902,0.314286,0.628713]
precision
0.7211255253856101 [0.951613,0.813333,0.826389,0.485714,0.354839,0.61809]
precision
0.7407562822869109 [0.929134,0.884058,0.824675,0.727273,0.304348,0.618605]
precision
0.72316502655774 [0.943089,0.894737,0.789474,0.535714,0.384615,0.595238]
precision
0.69820069999097 [0.904348,0.903226,0.773006,0.517241,0.30303,0.584906]
precision
0.7322668726508261 [0.904,0.888889,0.745455,0.591837,0.48,0.647343]
predictive_accuracy
0.7760497667185069
predictive_accuracy
0.7262830482115085
predictive_accuracy
0.749611197511664
predictive_accuracy
0.6982892690513219
predictive_accuracy
0.7231726283048212
predictive_accuracy
0.7247278382581649
predictive_accuracy
0.7558320373250389
predictive_accuracy
0.7293934681181959
predictive_accuracy
0.6998444790046656
predictive_accuracy
0.7387247278382582
prior_entropy
2.4835558356105776
prior_entropy
2.4835558356105776
prior_entropy
2.4835558356105776
prior_entropy
2.4835558356105776
prior_entropy
2.4835558356105776
prior_entropy
2.4835558356105776
prior_entropy
2.4835558356105776
prior_entropy
2.4835558356105776
prior_entropy
2.4835558356105776
prior_entropy
2.4835558356105776
recall
0.776049766718507 [0.751634,0.928571,0.933824,0.507937,0.685714,0.741722]
recall
0.7262830482115086 [0.69281,0.885714,0.933824,0.507937,0.142857,0.860927]
recall
0.749611197511664 [0.751634,0.871429,0.948148,0.47619,0.647887,0.675497]
recall
0.6982892690513219 [0.647059,0.928571,0.837037,0.507937,0.126761,0.86755]
recall
0.7231726283048211 [0.718954,0.914286,0.925926,0.444444,0.15493,0.84106]
recall
0.7247278382581649 [0.766234,0.871429,0.881481,0.548387,0.15493,0.81457]
recall
0.7558320373250389 [0.771242,0.871429,0.933824,0.645161,0.098592,0.880795]
recall
0.7293934681181959 [0.75817,0.957746,0.882353,0.483871,0.140845,0.833333]
recall
0.6998444790046656 [0.679739,0.788732,0.926471,0.483871,0.140845,0.826667]
recall
0.7387247278382582 [0.738562,0.901408,0.904412,0.467742,0.171429,0.887417]
relative_absolute_error
0.42147860420100836
relative_absolute_error
0.44363011231783017
relative_absolute_error
0.43645127886953794
relative_absolute_error
0.46962734664264955
relative_absolute_error
0.45662119870593876
relative_absolute_error
0.43641818829359763
relative_absolute_error
0.41485263891571655
relative_absolute_error
0.44655030131645573
relative_absolute_error
0.45335826635290544
relative_absolute_error
0.439423036832779
root_mean_prior_squared_error
0.36746811962523923
root_mean_prior_squared_error
0.36746811962523923
root_mean_prior_squared_error
0.36753924175366387
root_mean_prior_squared_error
0.36753924175366387
root_mean_prior_squared_error
0.36753924175366387
root_mean_prior_squared_error
0.36743995189564116
root_mean_prior_squared_error
0.36745913249082046
root_mean_prior_squared_error
0.36754735033645464
root_mean_prior_squared_error
0.36754735033645464
root_mean_prior_squared_error
0.36745957089272085
root_mean_squared_error
0.2362105276235905
root_mean_squared_error
0.24159922582246257
root_mean_squared_error
0.23929564665732544
root_mean_squared_error
0.2559993063818046
root_mean_squared_error
0.24987417378440033
root_mean_squared_error
0.2402018128737676
root_mean_squared_error
0.23407228907840869
root_mean_squared_error
0.2462038533116966
root_mean_squared_error
0.25294572279617533
root_mean_squared_error
0.2479270583067291
root_relative_squared_error
0.642805497969426
root_relative_squared_error
0.6574698944465074
root_relative_squared_error
0.6510750947723529
root_relative_squared_error
0.6965223772034206
root_relative_squared_error
0.6798571292473681
root_relative_squared_error
0.6537171900729749
root_relative_squared_error
0.6370022361173894
root_relative_squared_error
0.6698561507417219
root_relative_squared_error
0.6881990104530139
root_relative_squared_error
0.6747056763398631
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
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total_cost
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total_cost
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usercpu_time_millis
3958.4679719846463
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3940.603237017058
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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3949.5928999967873
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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