9865476
6892
Scikit-learn Bot
3560
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)
7794878
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
"median"
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
"mse"
8843
init
null
8843
learning_rate
0.2452279455728584
8843
loss
"deviance"
8843
max_depth
4
8843
max_features
0.6801820779298406
8843
max_leaf_nodes
null
8843
min_impurity_decrease
0.41531706310516847
8843
min_impurity_split
null
8843
min_samples_leaf
11
8843
min_samples_split
17
8843
min_weight_fraction_leaf
0.4953852341056555
8843
n_estimators
475
8843
n_iter_no_change
115
8843
presort
"auto"
8843
random_state
61406
8843
subsample
0.8130077397412072
8843
tol
0.03824099921780036
8843
validation_fraction
0.4075816292882247
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verbose
0
8843
warm_start
false
8843
openml-python
Sklearn_0.20.1.
469
analcatdata_dmft
https://www.openml.org/data/download/52581/analcatdata_dmft.arff
-1
20651398
description
https://api.openml.org/data/download/20651398/description.xml
-1
20651399
predictions
https://api.openml.org/data/download/20651399/predictions.arff
area_under_roc_curve
0.5003699162518067 [0.508268,0.493581,0.499641,0.500352,0.490066,0.511652]
average_cost
0
kappa
0
kb_relative_information_score
14.315672213535118
mean_absolute_error
0.27723855954284893
mean_prior_absolute_error
0.2774075468769606
number_of_instances
797 [127,132,124,155,136,123]
predictive_accuracy
0.1944792973651192
prior_entropy
2.580328302672365
recall
0.1944792973651192 [0,0,0,1,0,0]
relative_absolute_error
0.9993908336812961
root_mean_prior_squared_error
0.37242769802946113
root_mean_squared_error
0.37274733252707537
root_relative_squared_error
1.0008582457730868
total_cost
0
area_under_roc_curve
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]
area_under_roc_curve
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]
area_under_roc_curve
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]
area_under_roc_curve
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]
area_under_roc_curve
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]
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
1.5425402812045856
kb_relative_information_score
1.5425402812045856
kb_relative_information_score
1.5425402812045856
kb_relative_information_score
1.5425402812045856
kb_relative_information_score
1.5425402812045856
kb_relative_information_score
1.4706650579217777
kb_relative_information_score
1.4706650579217777
kb_relative_information_score
1.2450052412258439
kb_relative_information_score
1.2450052412258439
kb_relative_information_score
1.1716302092169544
mean_absolute_error
0.2771087680918226
mean_absolute_error
0.2771087680918226
mean_absolute_error
0.2771087680918226
mean_absolute_error
0.2771087680918226
mean_absolute_error
0.2771087680918226
mean_absolute_error
0.27730224193948233
mean_absolute_error
0.27730224193948233
mean_absolute_error
0.2774468081874364
mean_absolute_error
0.2774468081874364
mean_absolute_error
0.2773502571517651
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27731942714819413
mean_prior_absolute_error
0.27750103777501023
mean_prior_absolute_error
0.27750103777501023
mean_prior_absolute_error
0.27751417416754665
mean_prior_absolute_error
0.27751417416754665
mean_prior_absolute_error
0.27745111948337176
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,13,12,16,14,12]
number_of_instances
80 [13,14,13,15,13,12]
number_of_instances
80 [13,14,13,15,13,12]
number_of_instances
79 [12,13,13,15,13,13]
number_of_instances
79 [12,13,13,15,13,13]
number_of_instances
79 [12,13,12,15,14,13]
predictive_accuracy
0.2
predictive_accuracy
0.2
predictive_accuracy
0.2
predictive_accuracy
0.2
predictive_accuracy
0.2
predictive_accuracy
0.1875
predictive_accuracy
0.1875
predictive_accuracy
0.189873417721519
predictive_accuracy
0.189873417721519
predictive_accuracy
0.189873417721519
prior_entropy
2.580328302672365
prior_entropy
2.580328302672365
prior_entropy
2.580328302672365
prior_entropy
2.580328302672365
prior_entropy
2.580328302672365
prior_entropy
2.580328302672365
prior_entropy
2.580328302672365
prior_entropy
2.580328302672365
prior_entropy
2.580328302672365
prior_entropy
2.580328302672365
recall
0.2 [0,0,0,1,0,0]
recall
0.2 [0,0,0,1,0,0]
recall
0.2 [0,0,0,1,0,0]
recall
0.2 [0,0,0,1,0,0]
recall
0.2 [0,0,0,1,0,0]
recall
0.1875 [0,0,0,1,0,0]
recall
0.1875 [0,0,0,1,0,0]
recall
0.189873417721519 [0,0,0,1,0,0]
recall
0.189873417721519 [0,0,0,1,0,0]
recall
0.189873417721519 [0,0,0,1,0,0]
relative_absolute_error
0.9992403739668084
relative_absolute_error
0.9992403739668084
relative_absolute_error
0.9992403739668084
relative_absolute_error
0.9992403739668084
relative_absolute_error
0.9992403739668084
relative_absolute_error
0.999283621289773
relative_absolute_error
0.999283621289773
relative_absolute_error
0.9997572521104108
relative_absolute_error
0.9997572521104108
relative_absolute_error
0.9996364681036628
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37230937475539966
root_mean_prior_squared_error
0.37255319238676876
root_mean_prior_squared_error
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root_mean_prior_squared_error
0.3725708221937262
root_mean_prior_squared_error
0.3725708221937262
root_mean_prior_squared_error
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root_mean_squared_error
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root_mean_squared_error
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root_mean_squared_error
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0.37267366915125233
root_mean_squared_error
0.37298024609152125
root_mean_squared_error
0.37298024609152125
root_mean_squared_error
0.37269915449964275
root_mean_squared_error
0.37269915449964275
root_mean_squared_error
0.37274475355485115
root_relative_squared_error
1.0009784722613875
root_relative_squared_error
1.0009784722613875
root_relative_squared_error
1.0009784722613875
root_relative_squared_error
1.0009784722613875
root_relative_squared_error
1.0009784722613875
root_relative_squared_error
1.0011462892104521
root_relative_squared_error
1.0011462892104521
root_relative_squared_error
1.000344450768208
root_relative_squared_error
1.000344450768208
root_relative_squared_error
1.000694152025842
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
958.3204260000002
usercpu_time_millis
929.2208150000079
usercpu_time_millis
932.1489730000394
usercpu_time_millis
929.9665109999751
usercpu_time_millis
929.2361299999357
usercpu_time_millis
823.5695690000284
usercpu_time_millis
825.7998560000033
usercpu_time_millis
1265.2184820001366
usercpu_time_millis
1269.822199000032
usercpu_time_millis
828.4310599999571
usercpu_time_millis_testing
5.575098000008438
usercpu_time_millis_testing
5.527903000029255
usercpu_time_millis_testing
5.665163999992728
usercpu_time_millis_testing
5.559168999980102
usercpu_time_millis_testing
5.672139000012066
usercpu_time_millis_testing
5.434141000023374
usercpu_time_millis_testing
5.480927000007796
usercpu_time_millis_testing
6.096900000102323
usercpu_time_millis_testing
5.944676000012805
usercpu_time_millis_testing
5.434402999981103
usercpu_time_millis_training
952.7453279999918
usercpu_time_millis_training
923.6929119999786
usercpu_time_millis_training
926.4838090000467
usercpu_time_millis_training
924.407341999995
usercpu_time_millis_training
923.5639909999236
usercpu_time_millis_training
818.135428000005
usercpu_time_millis_training
820.3189289999955
usercpu_time_millis_training
1259.1215820000343
usercpu_time_millis_training
1263.8775230000192
usercpu_time_millis_training
822.996656999976