10224551
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)
8149983
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
2.727849001614195e-05
9667
loss
"deviance"
9667
max_depth
7
9667
max_features
0.43980550906645155
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.18273271936933333
9667
min_impurity_split
null
9667
min_samples_leaf
2
9667
min_samples_split
8
9667
min_weight_fraction_leaf
0.049410790802261795
9667
n_estimators
67
9667
n_iter_no_change
1711
9667
presort
"auto"
9667
random_state
17004
9667
subsample
0.019027632778481518
9667
tol
3.568577269831713e-05
9667
validation_fraction
0.7776434886130498
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
21370018
description
https://api.openml.org/data/download/21370018/description.xml
-1
21370019
predictions
https://api.openml.org/data/download/21370019/predictions.arff
area_under_roc_curve
0.5240913957705118 [0.528477,0.493567,0.530518,0.502347,0.57551,0.499774]
average_cost
0
kappa
0
kb_relative_information_score
97.6712016459506
mean_absolute_error
0.2768834721770463
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
1.014671287625953
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.37158735789825736
root_relative_squared_error
1.0060010713285077
total_cost
0
area_under_roc_curve
0.5599889191087061 [0.669113,0.454687,0.402019,0.543454,0.708899,0.657526]
area_under_roc_curve
0.5461085430998991 [0.597973,0.471007,0.521365,0.521449,0.684968,0.431548]
area_under_roc_curve
0.5744729752835752 [0.675715,0.449964,0.460877,0.469818,0.764721,0.703869]
area_under_roc_curve
0.535048053777701 [0.59009,0.497609,0.584628,0.5274,0.602051,0.261905]
area_under_roc_curve
0.5176967118303307 [0.535026,0.552965,0.580882,0.487686,0.548015,0.288684]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5799524884410964 [0.385491,0.463445,0.679502,0.466847,0.841169,0.693783]
area_under_roc_curve
0.5450178139601699 [0.320729,0.459484,0.62047,0.493937,0.696604,0.796884]
area_under_roc_curve
0.5556628255674911 [0.426822,0.427371,0.592347,0.494926,0.724935,0.748236]
area_under_roc_curve
0.5894351472546107 [0.513988,0.443217,0.643713,0.538227,0.676411,0.757569]
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
9.885158861075814
kb_relative_information_score
9.885454301972077
kb_relative_information_score
9.885751074456143
kb_relative_information_score
9.884671454663597
kb_relative_information_score
9.642063668342914
kb_relative_information_score
9.80185535031337
kb_relative_information_score
9.67130206720619
kb_relative_information_score
9.671050197390432
kb_relative_information_score
9.67211422563849
kb_relative_information_score
9.671780444890997
mean_absolute_error
0.2768923833282554
mean_absolute_error
0.2768922867324697
mean_absolute_error
0.27689220426756467
mean_absolute_error
0.27689292244176206
mean_absolute_error
0.27688102220808514
mean_absolute_error
0.27689374669513983
mean_absolute_error
0.276872494472918
mean_absolute_error
0.2768725865173584
mean_absolute_error
0.27687246273336297
mean_absolute_error
0.276872455625845
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
1.0146109479256797
relative_absolute_error
1.0146105939717698
relative_absolute_error
1.0146102917973494
relative_absolute_error
1.0146129233879855
relative_absolute_error
1.014943800052216
relative_absolute_error
1.0147217868686682
relative_absolute_error
1.0146505636275676
relative_absolute_error
1.0146509009414764
relative_absolute_error
1.0146504473120863
relative_absolute_error
1.0146504212652696
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
0.3715989560870628
root_mean_squared_error
0.3715988275944423
root_mean_squared_error
0.37159871465021815
root_mean_squared_error
0.37159967219375756
root_mean_squared_error
0.3715815726573822
root_mean_squared_error
0.3715986924754081
root_mean_squared_error
0.3715742235172196
root_mean_squared_error
0.3715743620269181
root_mean_squared_error
0.37157419819821136
root_mean_squared_error
0.371574170285436
root_relative_squared_error
1.0059402709543575
root_relative_squared_error
1.005939923117262
root_relative_squared_error
1.0059396173705921
root_relative_squared_error
1.0059422094973773
root_relative_squared_error
1.0062645418080844
root_relative_squared_error
1.0060444953096492
root_relative_squared_error
1.0059848519300594
root_relative_squared_error
1.0059852269255511
root_relative_squared_error
1.0059847833824125
root_relative_squared_error
1.0059847078125062
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
355.879050999647
usercpu_time_millis
347.68342999814195
usercpu_time_millis
325.53048499903525
usercpu_time_millis
328.0346890023793
usercpu_time_millis
327.6648169994587
usercpu_time_millis
326.45548100117594
usercpu_time_millis
326.5035159965919
usercpu_time_millis
329.25657899977523
usercpu_time_millis
322.5381600022956
usercpu_time_millis
322.5965530000394
usercpu_time_millis_testing
2.971884998260066
usercpu_time_millis_testing
2.802235998387914
usercpu_time_millis_testing
2.7370509997126646
usercpu_time_millis_testing
2.8601400008483324
usercpu_time_millis_testing
2.90282300193212
usercpu_time_millis_testing
2.684333001525374
usercpu_time_millis_testing
2.804028998070862
usercpu_time_millis_testing
2.8547200017783325
usercpu_time_millis_testing
2.671407000889303
usercpu_time_millis_testing
2.746007998212008
usercpu_time_millis_training
352.90716600138694
usercpu_time_millis_training
344.88119399975403
usercpu_time_millis_training
322.7934339993226
usercpu_time_millis_training
325.174549001531
usercpu_time_millis_training
324.7619939975266
usercpu_time_millis_training
323.77114799965057
usercpu_time_millis_training
323.699486998521
usercpu_time_millis_training
326.4018589979969
usercpu_time_millis_training
319.8667530014063
usercpu_time_millis_training
319.8505450018274