9865559
6892
Scikit-learn Bot
9950
Supervised Classification
8834
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)(1)
7794961
memory
null
8834
n_jobs
null
8835
remainder
"passthrough"
8835
sparse_threshold
0.3
8835
transformer_weights
null
8835
memory
null
8836
axis
0
8837
copy
true
8837
missing_values
"NaN"
8837
strategy
"most_frequent"
8837
verbose
0
8837
copy
true
8838
with_mean
true
8838
with_std
true
8838
memory
null
8839
copy
true
8840
fill_value
-1
8840
missing_values
NaN
8840
strategy
"constant"
8840
verbose
0
8840
categorical_features
null
8841
categories
null
8841
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
8841
handle_unknown
"ignore"
8841
n_values
null
8841
sparse
true
8841
threshold
0.0
8842
criterion
"friedman_mse"
8843
init
null
8843
learning_rate
1.7778737768989819
8843
loss
"deviance"
8843
max_depth
8
8843
max_features
0.5236145634215105
8843
max_leaf_nodes
null
8843
min_impurity_decrease
0.6924045216681618
8843
min_impurity_split
null
8843
min_samples_leaf
4
8843
min_samples_split
3
8843
min_weight_fraction_leaf
0.35134406185508904
8843
n_estimators
296
8843
n_iter_no_change
324
8843
presort
"auto"
8843
random_state
3555
8843
subsample
0.7809733154634747
8843
tol
0.000276432561075594
8843
validation_fraction
0.7261730350981747
8843
verbose
0
8843
warm_start
false
8843
openml-python
Sklearn_0.20.1.
1515
micro-mass
https://www.openml.org/data/download/1593707/phpHyLSNF
-1
20651564
description
https://api.openml.org/data/download/20651564/description.xml
-1
20651565
predictions
https://api.openml.org/data/download/20651565/predictions.arff
area_under_roc_curve
0.5017891716569427 [0.504607,0.476006,0.495961,0.503817,0.544114,0.503491,0.524453,0.481818,0.486168,0.538277,0.503817,0.495238,0.495161,0.511654,0.511769,0.496774,0.500196,0.511846,0.500181,0.470139]
average_cost
0
kappa
0.0005471859920386027
kb_relative_information_score
13.73241431210526
mean_absolute_error
0.09579684763572768
mean_prior_absolute_error
0.09411546815780207
number_of_instances
571 [50,26,52,29,14,16,26,11,26,24,29,21,31,18,32,31,60,27,20,28]
predictive_accuracy
0.04203152364273205
prior_entropy
4.207990400748034
recall
0.04203152364273205 [0.1,0,0,0,0,0.1875,0.115385,0.181818,0.192308,0.125,0,0,0.096774,0,0,0,0,0,0,0]
relative_absolute_error
1.017865070544052
root_mean_prior_squared_error
0.21689344706805536
root_mean_squared_error
0.30951065835561736
root_relative_squared_error
1.4270171023585658
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5160256410256411 [0.682692,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5219298245614035 [0.75,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
average_cost
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
2.089858865268148
kb_relative_information_score
3.160457251064823
kb_relative_information_score
0.15078657707921164
kb_relative_information_score
0.13277634353894802
kb_relative_information_score
1.8468691655965541
kb_relative_information_score
2.0334679346728732
kb_relative_information_score
1.2615321214403856
kb_relative_information_score
2.0509052335061484
kb_relative_information_score
0.968459693765235
kb_relative_information_score
0.03730112617284489
mean_absolute_error
0.09482758620689649
mean_absolute_error
0.09122807017543855
mean_absolute_error
0.09824561403508765
mean_absolute_error
0.09824561403508765
mean_absolute_error
0.0947368421052631
mean_absolute_error
0.0947368421052631
mean_absolute_error
0.09649122807017538
mean_absolute_error
0.0947368421052631
mean_absolute_error
0.09649122807017538
mean_absolute_error
0.09824561403508765
mean_prior_absolute_error
0.09413618064064419
mean_prior_absolute_error
0.09410158221272306
mean_prior_absolute_error
0.09411048772523531
mean_prior_absolute_error
0.0940244011042836
mean_prior_absolute_error
0.09402736960845434
mean_prior_absolute_error
0.09412829875025978
mean_prior_absolute_error
0.09411345622940606
mean_prior_absolute_error
0.0942143853712115
mean_prior_absolute_error
0.09417282631282102
mean_prior_absolute_error
0.09412533024608905
number_of_instances
58 [5,3,5,2,2,1,2,1,2,3,3,2,4,2,4,3,6,3,2,3]
number_of_instances
57 [5,3,5,3,1,1,2,1,3,3,3,2,3,2,3,3,6,3,2,3]
number_of_instances
57 [5,3,5,3,1,1,2,1,3,2,3,3,3,2,3,3,6,3,2,3]
number_of_instances
57 [5,3,6,3,1,2,2,1,3,2,3,2,3,1,3,3,6,3,2,3]
number_of_instances
57 [5,3,6,3,1,2,3,1,3,2,3,2,3,1,3,3,6,2,2,3]
number_of_instances
57 [5,3,5,3,1,2,3,1,3,2,3,2,3,2,3,3,6,2,2,3]
number_of_instances
57 [5,2,5,3,1,2,3,1,3,2,3,2,3,2,3,4,6,2,2,3]
number_of_instances
57 [5,2,5,3,2,2,3,2,2,2,2,2,3,2,3,3,6,3,2,3]
number_of_instances
57 [5,2,5,3,2,2,3,1,2,3,3,2,3,2,3,3,6,3,2,2]
number_of_instances
57 [5,2,5,3,2,1,3,1,2,3,3,2,3,2,4,3,6,3,2,2]
predictive_accuracy
0.05172413793103448
predictive_accuracy
0.08771929824561404
predictive_accuracy
0.017543859649122806
predictive_accuracy
0.017543859649122806
predictive_accuracy
0.052631578947368425
predictive_accuracy
0.052631578947368425
predictive_accuracy
0.03508771929824561
predictive_accuracy
0.052631578947368425
predictive_accuracy
0.03508771929824561
predictive_accuracy
0.017543859649122806
prior_entropy
4.207990400748034
prior_entropy
4.207990400748034
prior_entropy
4.207990400748034
prior_entropy
4.207990400748034
prior_entropy
4.207990400748034
prior_entropy
4.207990400748034
prior_entropy
4.207990400748034
prior_entropy
4.207990400748034
prior_entropy
4.207990400748034
prior_entropy
4.207990400748034
recall
0.05172413793103448 [0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0]
recall
0.08771929824561403 [1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.017543859649122806 [0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.017543859649122806 [0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.05263157894736842 [0,0,0,0,0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0]
recall
0.05263157894736842 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
recall
0.03508771929824561 [0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.05263157894736842 [0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.03508771929824561 [0,0,0,0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0]
recall
0.017543859649122806 [0,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
1.00734473782075
relative_absolute_error
0.9694637223974751
relative_absolute_error
1.0439390593950086
relative_absolute_error
1.0448948664519784
relative_absolute_error
1.0075453827940004
relative_absolute_error
1.0064650414708747
relative_absolute_error
1.025264950794851
relative_absolute_error
1.0055454029869544
relative_absolute_error
1.0246185852981957
relative_absolute_error
1.0437744417812527
root_mean_prior_squared_error
0.21694118987390487
root_mean_prior_squared_error
0.21686143372205327
root_mean_prior_squared_error
0.21688196547545568
root_mean_prior_squared_error
0.21668341036531857
root_mean_prior_squared_error
0.2166902601219441
root_mean_prior_squared_error
0.21692302315227222
root_mean_prior_squared_error
0.21688880896133736
root_mean_prior_squared_error
0.21712135913924485
root_mean_prior_squared_error
0.21702563336178166
root_mean_prior_squared_error
0.21691618074581365
root_mean_squared_error
0.30794088102571976
root_mean_squared_error
0.30203984865483985
root_mean_squared_error
0.3134415639877514
root_mean_squared_error
0.3134415639877514
root_mean_squared_error
0.30779350562554614
root_mean_squared_error
0.30779350562554614
root_mean_squared_error
0.3106303720986977
root_mean_squared_error
0.30779350562554614
root_mean_squared_error
0.3106303720986977
root_mean_squared_error
0.3134415639877514
root_relative_squared_error
1.419467097072288
root_relative_squared_error
1.392778067869633
root_relative_squared_error
1.4452172789038251
root_relative_squared_error
1.4465415855293347
root_relative_squared_error
1.4204307357992603
root_relative_squared_error
1.4189065833251187
root_relative_squared_error
1.432210235218133
root_relative_squared_error
1.417610440749642
root_relative_squared_error
1.4313072943824887
root_relative_squared_error
1.4449893175790698
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
total_cost
0
usercpu_time_millis
7008.121843999999
usercpu_time_millis
7079.726247999998
usercpu_time_millis
6993.457970000002
usercpu_time_millis
6911.771906999999
usercpu_time_millis
6940.024678999994
usercpu_time_millis
6922.115831000006
usercpu_time_millis
6902.278162000001
usercpu_time_millis
6926.533839999997
usercpu_time_millis
11688.535409000002
usercpu_time_millis
7022.807066999988
usercpu_time_millis_testing
10.638190999999964
usercpu_time_millis_testing
11.092268999998822
usercpu_time_millis_testing
12.869627000000605
usercpu_time_millis_testing
10.808409999999213
usercpu_time_millis_testing
11.692896999996094
usercpu_time_millis_testing
11.340182000004972
usercpu_time_millis_testing
10.773437000004549
usercpu_time_millis_testing
10.228499000000113
usercpu_time_millis_testing
14.212975999996047
usercpu_time_millis_testing
10.052008999991813
usercpu_time_millis_training
6997.483652999999
usercpu_time_millis_training
7068.633978999999
usercpu_time_millis_training
6980.588343000001
usercpu_time_millis_training
6900.963497
usercpu_time_millis_training
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usercpu_time_millis_training
6910.775649000001
usercpu_time_millis_training
6891.504724999997
usercpu_time_millis_training
6916.3053409999975
usercpu_time_millis_training
11674.322433000007
usercpu_time_millis_training
7012.755057999996