10223388
1
Jan van Rijn
3485
Supervised Classification
9666
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)(4)
8148820
copy
true
9559
fill_value
-1
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missing_values
NaN
9559
strategy
"constant"
9559
verbose
0
9559
n_jobs
null
9606
remainder
"passthrough"
9606
sparse_threshold
0.3
9606
transformer_weights
null
9606
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226, 227, 228, 229, 230, 231, 232, 233, 234, 235, 236, 237, 238, 239, 240, 241, 242, 243, 244, 245, 246, 247, 248, 249, 250, 251, 252, 253, 254, 255, 256, 257, 258, 259, 260, 261, 262, 263, 264, 265, 266, 267, 268, 269, 270, 271, 272, 273, 274, 275, 276, 277, 278, 279, 280, 281, 282, 283, 284, 285, 286, 287, 288, 289, 290, 291, 292, 293]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [294, 295, 296, 297, 298]}}]
9606
memory
null
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steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
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axis
0
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copy
true
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missing_values
"NaN"
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strategy
"median"
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verbose
0
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copy
true
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with_mean
true
9609
with_std
true
9609
memory
null
9610
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
9610
categorical_features
null
9611
categories
null
9611
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
9611
handle_unknown
"ignore"
9611
n_values
null
9611
sparse
true
9611
threshold
0.0
9612
memory
null
9666
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
9666
criterion
"friedman_mse"
9667
init
null
9667
learning_rate
1.676296003220604e-05
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loss
"deviance"
9667
max_depth
21
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max_features
0.5764107279512857
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max_leaf_nodes
null
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min_impurity_decrease
0.972300057381092
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min_impurity_split
null
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min_samples_leaf
16
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min_samples_split
10
9667
min_weight_fraction_leaf
0.20063577589476922
9667
n_estimators
1116
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n_iter_no_change
756
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presort
"auto"
9667
random_state
42750
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subsample
0.03224485750637662
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tol
0.013514716781893183
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validation_fraction
0.15482625720934973
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verbose
0
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warm_start
false
9667
openml-python
Sklearn_0.20.3.
312
scene
https://www.openml.org/data/download/1390080/phpuZu33P
-1
21367692
description
https://api.openml.org/data/download/21367692/description.xml
-1
21367693
predictions
https://api.openml.org/data/download/21367693/predictions.arff
area_under_roc_curve
0.8355415801685188 [0.835542,0.835542]
average_cost
0
kappa
0
kb_relative_information_score
-10.697708780307012
mean_absolute_error
0.2945042280205025
mean_prior_absolute_error
0.29416743712946186
number_of_instances
2407 [1976,431]
predictive_accuracy
0.8209389281262983
prior_entropy
0.6786037019780878
recall
0.8209389281262983 [1,0]
relative_absolute_error
1.0011448952145319
root_mean_prior_squared_error
0.3834035412052162
root_mean_squared_error
0.38293421433909836
root_relative_squared_error
0.9987758932412504
total_cost
0
area_under_roc_curve
0.8562367864693446 [0.856237,0.856237]
area_under_roc_curve
0.8540051679586564 [0.854005,0.854005]
area_under_roc_curve
0.8101949729856706 [0.810195,0.810195]
area_under_roc_curve
0.8423772609819121 [0.842377,0.842377]
area_under_roc_curve
0.8292224571294339 [0.829222,0.829222]
area_under_roc_curve
0.8264035705896171 [0.826404,0.826404]
area_under_roc_curve
0.8897092754960775 [0.889709,0.889709]
area_under_roc_curve
0.8772281902963052 [0.877228,0.877228]
area_under_roc_curve
0.8470074371384725 [0.847007,0.847007]
area_under_roc_curve
0.858694369023728 [0.858694,0.858694]
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
-0.7995983445690623
kb_relative_information_score
-0.9788256711644238
kb_relative_information_score
-1.0410480647338485
kb_relative_information_score
-1.0377707532723404
kb_relative_information_score
-0.9127845225317864
kb_relative_information_score
-0.9147288894341006
kb_relative_information_score
-0.16295966771147719
kb_relative_information_score
-1.381103100782032
kb_relative_information_score
-1.8050242388877813
kb_relative_information_score
-1.6638655272201441
mean_absolute_error
0.29399020058183695
mean_absolute_error
0.2940673950843322
mean_absolute_error
0.2940820018420542
mean_absolute_error
0.2940911418338059
mean_absolute_error
0.29403407642779705
mean_absolute_error
0.29404616121949273
mean_absolute_error
0.2963285203425892
mean_absolute_error
0.2947176986541168
mean_absolute_error
0.29486806349279016
mean_absolute_error
0.29482072947126464
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.293758364638829
mean_prior_absolute_error
0.29641954703058604
mean_prior_absolute_error
0.2942351598173521
mean_prior_absolute_error
0.2942351598173521
mean_prior_absolute_error
0.2942351598173521
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [198,43]
number_of_instances
241 [197,44]
number_of_instances
240 [197,43]
number_of_instances
240 [197,43]
number_of_instances
240 [197,43]
predictive_accuracy
0.8215767634854773
predictive_accuracy
0.8215767634854773
predictive_accuracy
0.8215767634854773
predictive_accuracy
0.8215767634854773
predictive_accuracy
0.8215767634854773
predictive_accuracy
0.8215767634854773
predictive_accuracy
0.8174273858921162
predictive_accuracy
0.8208333333333333
predictive_accuracy
0.8208333333333333
predictive_accuracy
0.8208333333333333
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
prior_entropy
0.6786037019780878
recall
0.8215767634854771 [1,0]
recall
0.8215767634854771 [1,0]
recall
0.8215767634854771 [1,0]
recall
0.8215767634854771 [1,0]
recall
0.8215767634854771 [1,0]
recall
0.8215767634854771 [1,0]
recall
0.8174273858921162 [1,0]
recall
0.8208333333333333 [1,0]
recall
0.8208333333333333 [1,0]
recall
0.8208333333333333 [1,0]
relative_absolute_error
1.0007892062692172
relative_absolute_error
1.0010519885821232
relative_absolute_error
1.0011017122988928
relative_absolute_error
1.0011328262784485
relative_absolute_error
1.000938566598119
relative_absolute_error
1.0009797051430949
relative_absolute_error
0.9996929126675056
relative_absolute_error
1.0016399768031266
relative_absolute_error
1.0021510130734577
relative_absolute_error
1.001990141675373
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3828696944367244
root_mean_prior_squared_error
0.3863293741224291
root_mean_prior_squared_error
0.38349184880071946
root_mean_prior_squared_error
0.38349184880071946
root_mean_prior_squared_error
0.38349184880071946
root_mean_squared_error
0.3823960872378561
root_mean_squared_error
0.38241029628120543
root_mean_squared_error
0.38245619325694136
root_mean_squared_error
0.38241720180256433
root_mean_squared_error
0.38242421106651825
root_mean_squared_error
0.38244794347694633
root_mean_squared_error
0.3858145125320757
root_mean_squared_error
0.38295464871512996
root_mean_squared_error
0.38300725884078024
root_mean_squared_error
0.38300157964661274
root_relative_squared_error
0.9987630068251679
root_relative_squared_error
0.9988001187814177
root_relative_squared_error
0.9989199950119024
root_relative_squared_error
0.9988181549996383
root_relative_squared_error
0.9988364621784401
root_relative_squared_error
0.9988984477854834
root_relative_squared_error
0.9986672988780028
root_relative_squared_error
0.998599187734317
root_relative_squared_error
0.998736374810952
root_relative_squared_error
0.9987215656456847
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
1603.5878660004528
usercpu_time_millis
1539.6851350014913
usercpu_time_millis
1545.0962590002746
usercpu_time_millis
1642.204469000717
usercpu_time_millis
1548.7847219992545
usercpu_time_millis
1635.586198000965
usercpu_time_millis
1527.0608050013834
usercpu_time_millis
1534.435867000866
usercpu_time_millis
1529.4938540027943
usercpu_time_millis
1539.218025001901
usercpu_time_millis_testing
5.51982600154588
usercpu_time_millis_testing
5.580847002420342
usercpu_time_millis_testing
5.613328998151701
usercpu_time_millis_testing
5.7063770000240766
usercpu_time_millis_testing
5.590251999819884
usercpu_time_millis_testing
5.681820002791937
usercpu_time_millis_testing
5.591236000327626
usercpu_time_millis_testing
5.454621001263149
usercpu_time_millis_testing
5.626261001452804
usercpu_time_millis_testing
5.480059000547044
usercpu_time_millis_training
1598.068039998907
usercpu_time_millis_training
1534.104287999071
usercpu_time_millis_training
1539.4829300021229
usercpu_time_millis_training
1636.4980920006928
usercpu_time_millis_training
1543.1944699994347
usercpu_time_millis_training
1629.904377998173
usercpu_time_millis_training
1521.4695690010558
usercpu_time_millis_training
1528.9812459996028
usercpu_time_millis_training
1523.8675930013414
usercpu_time_millis_training
1533.737966001354