6128969
1
Jan van Rijn
14967
Supervised Classification
7096
sklearn.model_selection._search.RandomizedSearchCV(estimator=sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.ensemble.forest.RandomForestClassifier))(1)
4162623
bootstrap
false
6902
class_weight
null
6902
criterion
"gini"
6902
max_depth
null
6902
max_features
0.2
6902
max_leaf_nodes
null
6902
min_impurity_split
1e-07
6902
min_samples_leaf
2
6902
min_samples_split
8
6902
min_weight_fraction_leaf
0.0
6902
n_estimators
10
6902
n_jobs
1
6902
oob_score
false
6902
random_state
1
6902
verbose
0
6902
warm_start
false
6902
axis
0
6947
categorical_features
[0, 1]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"median"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0, 1]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
cv
null
7096
error_score
"raise"
7096
fit_params
{}
7096
iid
true
7096
n_iter
50
7096
n_jobs
1
7096
param_distributions
{"classifier__max_features": [0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9], "classifier__bootstrap": [true, false], "classifier__min_samples_split": [2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20], "classifier__criterion": ["gini", "entropy"], "imputation__strategy": ["mean", "median", "most_frequent"]}
7096
pre_dispatch
"2*n_jobs"
7096
random_state
1
7096
refit
true
7096
return_train_score
true
7096
scoring
null
7096
verbose
0
7096
openml-python
Sklearn_0.18.1.
23380
cjs
https://www.openml.org/data/download/1910442/phpDAC5gS
-1
13187090
description
https://api.openml.org/data/download/13187090/description.xml
-1
13187091
predictions
https://api.openml.org/data/download/13187091/predictions.arff
-1
13187092
trace
https://api.openml.org/data/download/13187092/trace.arff
area_under_roc_curve
0.9994722472232891 [0.999939,0.99698,0.999775,0.999934,0.999908,0.99932]
average_cost
0
f_measure
0.9885672039543838 [0.993918,0.973529,0.99187,0.993157,0.991576,0.974729]
kappa
0.9860247755962143
kb_relative_information_score
2686.1764753294283
mean_absolute_error
0.01637306547274029
mean_prior_absolute_error
0.27287997162595995
number_of_instances
2796 [576,341,680,511,414,274]
precision
0.9886211917126145 [0.994783,0.976401,0.997028,0.992188,0.98801,0.964286]
predictive_accuracy
0.988555078683834
prior_entropy
2.5206634795042744
recall
0.9885550786838341 [0.993056,0.970674,0.986765,0.994129,0.995169,0.985401]
relative_absolute_error
0.06000097909414569
root_mean_prior_squared_error
0.3693707377543301
root_mean_squared_error
0.06914311894565621
root_relative_squared_error
0.18719165293392453
total_cost
0
area_under_roc_curve
0.9996955589261323 [1,0.998565,0.999931,1,1,0.998866]
area_under_roc_curve
0.9999326145552561 [1,1,0.999723,1,1,1]
area_under_roc_curve
0.9999631661163774 [1,0.999761,1,0.999957,1,1]
area_under_roc_curve
0.9998257839721254 [1,0.998565,1,1,1,1]
area_under_roc_curve
0.9998820754716982 [1,1,0.999514,1,1,1]
area_under_roc_curve
0.9984935312030747 [0.999922,0.994985,0.998682,1,1,0.994364]
area_under_roc_curve
0.9999371187826197 [1,1,1,0.999656,1,1]
area_under_roc_curve
0.9975619104935287 [1,0.980972,0.999861,1,1,0.999118]
area_under_roc_curve
0.9997587530128561 [0.999684,1,1,0.999656,1,0.998824]
area_under_roc_curve
0.9999696316900618 [0.999921,1,1,1,1,0.999853]
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
f_measure
0.982163424444272 [1,0.953846,0.985294,1,0.987952,0.931034]
f_measure
0.992885595631591 [0.991304,0.985507,0.992593,1,1,0.982456]
f_measure
0.9857224012649775 [1,0.971429,0.985075,0.990291,0.975,0.982456]
f_measure
0.9927955085849823 [0.991453,0.969697,1,1,1,0.982456]
f_measure
0.9928512325002243 [1,0.985507,0.985075,1,0.987952,1]
f_measure
0.9785229038240695 [0.991453,0.927536,0.985075,1,0.987952,0.945455]
f_measure
0.9928080241404224 [0.991304,1,1,0.98,1,0.981818]
f_measure
0.9892261772361246 [1,0.969697,0.992593,0.990291,0.976744,1]
f_measure
0.9856772485331562 [0.982143,0.985507,1,0.970874,1,0.962963]
f_measure
0.9928209221176447 [0.99115,0.985507,0.992701,1,1,0.981132]
kappa
0.9781914479320819
kappa
0.9912845892862702
kappa
0.9825710773252829
kappa
0.9912734525961479
kappa
0.991277666152672
kappa
0.9738403326014855
kappa
0.9912451361867705
kappa
0.9868642006308951
kappa
0.9824932938020611
kappa
0.9912401883830456
kb_relative_information_score
269.2456337164142
kb_relative_information_score
271.29027740469235
kb_relative_information_score
270.2633230005684
kb_relative_information_score
271.71466732916485
kb_relative_information_score
269.32744792096133
kb_relative_information_score
263.26782052791293
kb_relative_information_score
268.8700131515211
kb_relative_information_score
268.5977877433871
kb_relative_information_score
264.94075847636736
kb_relative_information_score
268.6587460584158
mean_absolute_error
0.01571466364323663
mean_absolute_error
0.014212962962962318
mean_absolute_error
0.014034266391298773
mean_absolute_error
0.012618953136810003
mean_absolute_error
0.0162411728781221
mean_absolute_error
0.0231979516645522
mean_absolute_error
0.01485831602759504
mean_absolute_error
0.0146838628648642
mean_absolute_error
0.021827344963546137
mean_absolute_error
0.01634911152832055
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]
precision
0.9829421768707483 [1,1,0.985294,1,0.97619,0.9]
precision
0.993082336382829 [1,0.971429,1,1,1,0.965517]
precision
0.986302945139152 [1,0.944444,1,0.980769,1,0.965517]
precision
0.9930408282541537 [0.983051,1,1,1,1,0.965517]
precision
0.9930442176870747 [1,0.971429,1,1,0.97619,1]
precision
0.9787620132798882 [0.983051,0.941176,1,1,0.97619,0.928571]
precision
0.9930213464696224 [0.982759,1,1,1,1,0.964286]
precision
0.9896420783517557 [1,1,1,0.980769,0.954545,1]
precision
0.9859033439678601 [1,0.971429,1,0.961538,1,0.962963]
precision
0.9929858931261455 [1,0.971429,0.985507,1,1,1]
predictive_accuracy
0.9821428571428571
predictive_accuracy
0.9928571428571429
predictive_accuracy
0.9857142857142857
predictive_accuracy
0.9928571428571429
predictive_accuracy
0.9928571428571429
predictive_accuracy
0.9785714285714286
predictive_accuracy
0.992831541218638
predictive_accuracy
0.989247311827957
predictive_accuracy
0.9856630824372761
predictive_accuracy
0.992831541218638
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
0.9821428571428571 [1,0.911765,0.985294,1,1,0.964286]
recall
0.9928571428571429 [0.982759,1,0.985294,1,1,1]
recall
0.9857142857142858 [1,1,0.970588,1,0.95122,1]
recall
0.9928571428571429 [1,0.941176,1,1,1,1]
recall
0.9928571428571429 [1,1,0.970588,1,1,1]
recall
0.9785714285714285 [1,0.914286,0.970588,1,1,0.962963]
recall
0.992831541218638 [1,1,1,0.960784,1,1]
recall
0.989247311827957 [1,0.941176,0.985294,1,1,1]
recall
0.985663082437276 [0.964912,1,1,0.980392,1,0.962963]
recall
0.992831541218638 [0.982456,1,1,1,1,0.962963]
relative_absolute_error
0.05758291211822766
relative_absolute_error
0.05208026183800134
relative_absolute_error
0.0514254677415105
relative_absolute_error
0.0462393650922142
relative_absolute_error
0.05953415509221162
relative_absolute_error
0.08501263479476252
relative_absolute_error
0.054451052498573384
relative_absolute_error
0.05381173655558515
relative_absolute_error
0.07999035047492496
relative_absolute_error
0.05991434887239407
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
0.06751168733246209
root_mean_squared_error
0.059832627068485356
root_mean_squared_error
0.06603327340431982
root_mean_squared_error
0.06043167717621643
root_mean_squared_error
0.06697498662504167
root_mean_squared_error
0.08865647488935614
root_mean_squared_error
0.06545310732888518
root_mean_squared_error
0.07017314175455827
root_mean_squared_error
0.0780537951385812
root_mean_squared_error
0.06333909131627677
root_relative_squared_error
0.18275811580022666
root_relative_squared_error
0.16197044716961362
root_relative_squared_error
0.17875596217977974
root_relative_squared_error
0.16359211111084668
root_relative_squared_error
0.18137216478975257
root_relative_squared_error
0.24002333792360564
root_relative_squared_error
0.1772050651451054
root_relative_squared_error
0.18998389325613416
root_relative_squared_error
0.21131965183646806
root_relative_squared_error
0.17148166467536563
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
27971.1730850031
usercpu_time_millis
27584.739432997594
usercpu_time_millis
27621.192044000054
usercpu_time_millis
27777.572525003052
usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
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usercpu_time_millis
27775.624676000007
usercpu_time_millis_testing
9.566145999997389
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
9.541723000438651
usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_testing
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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