10227818
1
Jan van Rijn
14967
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)
8153250
copy
true
9559
fill_value
-1
9559
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": [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]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": [0, 1]}}]
9606
memory
null
9607
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"}}]
9607
axis
0
9608
copy
true
9608
missing_values
"NaN"
9608
strategy
"mean"
9608
verbose
0
9608
copy
true
9609
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
"mse"
9667
init
null
9667
learning_rate
0.0031665260277629064
9667
loss
"deviance"
9667
max_depth
27
9667
max_features
0.6446533377644299
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.7703439918656337
9667
min_impurity_split
null
9667
min_samples_leaf
2
9667
min_samples_split
2
9667
min_weight_fraction_leaf
0.47711939187241875
9667
n_estimators
503
9667
n_iter_no_change
227
9667
presort
"auto"
9667
random_state
16083
9667
subsample
0.24847659642758368
9667
tol
0.0010661355826670877
9667
validation_fraction
0.07265805329752462
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
21376552
description
https://api.openml.org/data/download/21376552/description.xml
-1
21376553
predictions
https://api.openml.org/data/download/21376553/predictions.arff
area_under_roc_curve
0.49845910589854364 [0.497917,0.498985,0.500567,0.499354,0.496094,0.495618]
average_cost
0
kappa
0
kb_relative_information_score
23.767785879050994
mean_absolute_error
0.27364394750501037
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
predictive_accuracy
0.24320457796852646
prior_entropy
2.5206634795042744
recall
0.24320457796852646 [0,0,1,0,0,0]
relative_absolute_error
1.0027996773618022
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.36945784300368845
root_relative_squared_error
1.0002358206551172
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
2.3850465462117905
kb_relative_information_score
2.3850465462117905
kb_relative_information_score
2.3850465462117905
kb_relative_information_score
2.3850465462117905
kb_relative_information_score
2.362637148277459
kb_relative_information_score
2.3615641356642767
kb_relative_information_score
2.3758496025657068
kb_relative_information_score
2.3758496025657068
kb_relative_information_score
2.3758496025657068
kb_relative_information_score
2.3758496025657068
mean_absolute_error
0.2736667127654437
mean_absolute_error
0.2736667127654437
mean_absolute_error
0.2736667127654437
mean_absolute_error
0.2736667127654437
mean_absolute_error
0.2735966536134014
mean_absolute_error
0.27364499134665227
mean_absolute_error
0.2736327046038527
mean_absolute_error
0.2736327046038527
mean_absolute_error
0.2736327046038527
mean_absolute_error
0.2736327046038527
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272904982835389
mean_prior_absolute_error
0.272804289453111
mean_prior_absolute_error
0.27287651677373237
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
mean_prior_absolute_error
0.2728747259382053
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,51,41,28]
number_of_instances
280 [58,34,68,52,41,27]
number_of_instances
280 [58,35,68,51,41,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
number_of_instances
279 [57,34,68,51,42,27]
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24285714285714285
predictive_accuracy
0.24372759856630824
predictive_accuracy
0.24372759856630824
predictive_accuracy
0.24372759856630824
predictive_accuracy
0.24372759856630824
prior_entropy
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
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
prior_entropy
2.5206634795042744
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24285714285714285 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
recall
0.24372759856630824 [0,0,1,0,0,0]
relative_absolute_error
1.0027911909930725
relative_absolute_error
1.0027911909930725
relative_absolute_error
1.0027911909930725
relative_absolute_error
1.0027911909930725
relative_absolute_error
1.0029045150348583
relative_absolute_error
1.0028161989972817
relative_absolute_error
1.002777753282358
relative_absolute_error
1.002777753282358
relative_absolute_error
1.002777753282358
relative_absolute_error
1.002777753282358
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
root_mean_prior_squared_error
0.36936606105183667
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_prior_squared_error
0.3693636368423697
root_mean_squared_error
0.36948418753487866
root_mean_squared_error
0.36948418753487866
root_mean_squared_error
0.36948418753487866
root_mean_squared_error
0.36948418753487866
root_mean_squared_error
0.3693776351466216
root_mean_squared_error
0.3694507481593006
root_mean_squared_error
0.36945330477925664
root_mean_squared_error
0.36945330477925664
root_mean_squared_error
0.36945330477925664
root_mean_squared_error
0.36945330477925664
root_relative_squared_error
1.0002154678688193
root_relative_squared_error
1.0002154678688193
root_relative_squared_error
1.0002154678688193
root_relative_squared_error
1.0002154678688193
root_relative_squared_error
1.0002961506589247
root_relative_squared_error
1.000229276905471
root_relative_squared_error
1.0002427633040802
root_relative_squared_error
1.0002427633040802
root_relative_squared_error
1.0002427633040802
root_relative_squared_error
1.0002427633040802
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
5632.55498700164
usercpu_time_millis
5577.311576998909
usercpu_time_millis
5587.668528991344
usercpu_time_millis
5652.225183992414
usercpu_time_millis
5573.209044989198
usercpu_time_millis
5633.590838995588
usercpu_time_millis
5587.0921590030775
usercpu_time_millis
5590.922597999452
usercpu_time_millis
5619.4753180025145
usercpu_time_millis
5583.946428996569
usercpu_time_millis_testing
4.910160998406354
usercpu_time_millis_testing
4.547807002381887
usercpu_time_millis_testing
4.920775994833093
usercpu_time_millis_testing
4.641606996301562
usercpu_time_millis_testing
4.970102992956527
usercpu_time_millis_testing
5.561055993894115
usercpu_time_millis_testing
4.9593389994697645
usercpu_time_millis_testing
4.621400999894831
usercpu_time_millis_testing
4.856603001826443
usercpu_time_millis_testing
4.597469000145793
usercpu_time_millis_training
5627.644826003234
usercpu_time_millis_training
5572.763769996527
usercpu_time_millis_training
5582.747752996511
usercpu_time_millis_training
5647.583576996112
usercpu_time_millis_training
5568.238941996242
usercpu_time_millis_training
5628.029783001693
usercpu_time_millis_training
5582.132820003608
usercpu_time_millis_training
5586.301196999557
usercpu_time_millis_training
5614.618715000688
usercpu_time_millis_training
5579.348959996423