10218793
1
Jan van Rijn
9914
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)
8144225
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": [0, 1, 2, 3, 4]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_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
"friedman_mse"
9667
init
null
9667
learning_rate
4.4409687923750396e-05
9667
loss
"deviance"
9667
max_depth
24
9667
max_features
0.20345672290855255
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.5919569825262314
9667
min_impurity_split
null
9667
min_samples_leaf
16
9667
min_samples_split
13
9667
min_weight_fraction_leaf
0.10584815426594413
9667
n_estimators
1227
9667
n_iter_no_change
1643
9667
presort
"auto"
9667
random_state
21786
9667
subsample
0.12990712994682285
9667
tol
8.403329550431604e-05
9667
validation_fraction
0.45481656918484537
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
1570
wilt
https://www.openml.org/data/download/1675983/phpnThNfi
-1
21358502
description
https://api.openml.org/data/download/21358502/description.xml
-1
21358503
predictions
https://api.openml.org/data/download/21358503/predictions.arff
area_under_roc_curve
0.8968961165259803 [0.896896,0.896896]
average_cost
0
kappa
0
kb_relative_information_score
95.72716417426635
mean_absolute_error
0.09827197373573736
mean_prior_absolute_error
0.10221958465180693
number_of_instances
4839 [4578,261]
predictive_accuracy
0.9460632362058277
prior_entropy
0.3036514154115717
recall
0.9460632362058277 [1,0]
relative_absolute_error
0.9613810706674615
root_mean_prior_squared_error
0.22589294647411987
root_mean_squared_error
0.22573878447798387
root_relative_squared_error
0.9993175440024035
total_cost
0
area_under_roc_curve
0.9393684917702385 [0.939368,0.939368]
area_under_roc_curve
0.9382348001343634 [0.938235,0.938235]
area_under_roc_curve
0.9582633523681557 [0.958263,0.958263]
area_under_roc_curve
0.8470775948941887 [0.847078,0.847078]
area_under_roc_curve
0.9171985220020155 [0.917199,0.917199]
area_under_roc_curve
0.9583053409472624 [0.958305,0.958305]
area_under_roc_curve
0.9359254282835069 [0.935925,0.935925]
area_under_roc_curve
0.920809539805173 [0.92081,0.92081]
area_under_roc_curve
0.9535213550530837 [0.953521,0.953521]
area_under_roc_curve
0.9551422319474836 [0.955142,0.955142]
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
9.739262303591435
kb_relative_information_score
9.739607511154839
kb_relative_information_score
9.75563158515319
kb_relative_information_score
9.732763308480603
kb_relative_information_score
9.708687717882636
kb_relative_information_score
9.779203826228105
kb_relative_information_score
9.755533623447745
kb_relative_information_score
9.804033014982707
kb_relative_information_score
9.717269326122313
kb_relative_information_score
7.995171957222518
mean_absolute_error
0.09800980780194295
mean_absolute_error
0.09800966136902035
mean_absolute_error
0.09800304237117358
mean_absolute_error
0.09801248715619001
mean_absolute_error
0.09802244683969287
mean_absolute_error
0.09799332438367216
mean_absolute_error
0.09800308370146311
mean_absolute_error
0.09798304078481032
mean_absolute_error
0.09986133309468401
mean_absolute_error
0.09882264761066462
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.10202539943765428
mean_prior_absolute_error
0.1038678744402577
mean_prior_absolute_error
0.10212458028665569
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [458,26]
number_of_instances
484 [457,27]
number_of_instances
483 [457,26]
predictive_accuracy
0.9462809917355373
predictive_accuracy
0.9462809917355373
predictive_accuracy
0.9462809917355373
predictive_accuracy
0.9462809917355373
predictive_accuracy
0.9462809917355373
predictive_accuracy
0.9462809917355373
predictive_accuracy
0.9462809917355373
predictive_accuracy
0.9462809917355373
predictive_accuracy
0.9442148760330579
predictive_accuracy
0.9461697722567288
prior_entropy
0.3036514154115717
prior_entropy
0.3036514154115717
prior_entropy
0.3036514154115717
prior_entropy
0.3036514154115717
prior_entropy
0.3036514154115717
prior_entropy
0.3036514154115717
prior_entropy
0.3036514154115717
prior_entropy
0.3036514154115717
prior_entropy
0.3036514154115717
prior_entropy
0.3036514154115717
recall
0.9462809917355371 [1,0]
recall
0.9462809917355371 [1,0]
recall
0.9462809917355371 [1,0]
recall
0.9462809917355371 [1,0]
recall
0.9462809917355371 [1,0]
recall
0.9462809917355371 [1,0]
recall
0.9462809917355371 [1,0]
recall
0.9462809917355371 [1,0]
recall
0.9442148760330579 [1,0]
recall
0.9461697722567288 [1,0]
relative_absolute_error
0.9606412554339943
relative_absolute_error
0.960639820174506
relative_absolute_error
0.9605749441937869
relative_absolute_error
0.960667517073369
relative_absolute_error
0.9607651367206111
relative_absolute_error
0.9604796935252772
relative_absolute_error
0.9605753492918288
relative_absolute_error
0.9603788990278429
relative_absolute_error
0.9614265588165264
relative_absolute_error
0.9676676010151248
root_mean_prior_squared_error
0.22546271987314428
root_mean_prior_squared_error
0.22546271987314428
root_mean_prior_squared_error
0.22546271987314428
root_mean_prior_squared_error
0.22546271987314428
root_mean_prior_squared_error
0.22546271987314428
root_mean_prior_squared_error
0.22546271987314428
root_mean_prior_squared_error
0.22546271987314428
root_mean_prior_squared_error
0.22546271987314428
root_mean_prior_squared_error
0.2295123374792723
root_mean_prior_squared_error
0.22568256224528593
root_mean_squared_error
0.2253137179983115
root_mean_squared_error
0.2253101592001559
root_mean_squared_error
0.2253054820786293
root_mean_squared_error
0.22533545647835004
root_mean_squared_error
0.22531791483344726
root_mean_squared_error
0.22526627921277498
root_mean_squared_error
0.225322683128994
root_mean_squared_error
0.225302697592331
root_mean_squared_error
0.2294022709402593
root_mean_squared_error
0.2254774905397984
root_relative_squared_error
0.9993391285489832
root_relative_squared_error
0.9993233441294676
root_relative_squared_error
0.999302599584519
root_relative_squared_error
0.9994355457307273
root_relative_squared_error
0.9993577428686281
root_relative_squared_error
0.9991287222096858
root_relative_squared_error
0.9993788917998103
root_relative_squared_error
0.9992902494882376
root_relative_squared_error
0.9995204330180162
root_relative_squared_error
0.9990913267580476
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
1313.3579909990658
usercpu_time_millis
1237.5910140035558
usercpu_time_millis
1237.836423002591
usercpu_time_millis
1240.4553029991803
usercpu_time_millis
1236.4640529995086
usercpu_time_millis
1241.2816280011612
usercpu_time_millis
1251.3804600021103
usercpu_time_millis
1245.9409699986281
usercpu_time_millis
1237.332315002277
usercpu_time_millis
1250.6447880004998
usercpu_time_millis_testing
3.1663650006521493
usercpu_time_millis_testing
3.2541360014874954
usercpu_time_millis_testing
3.3310690014332067
usercpu_time_millis_testing
3.063465999730397
usercpu_time_millis_testing
3.112157999566989
usercpu_time_millis_testing
3.17892800012487
usercpu_time_millis_testing
4.014076999737881
usercpu_time_millis_testing
3.1394789984915406
usercpu_time_millis_testing
3.3227250023628585
usercpu_time_millis_testing
3.3486200009065215
usercpu_time_millis_training
1310.1916259984137
usercpu_time_millis_training
1234.3368780020683
usercpu_time_millis_training
1234.5053540011577
usercpu_time_millis_training
1237.3918369994499
usercpu_time_millis_training
1233.3518949999416
usercpu_time_millis_training
1238.1027000010363
usercpu_time_millis_training
1247.3663830023725
usercpu_time_millis_training
1242.8014910001366
usercpu_time_millis_training
1234.0095899999142
usercpu_time_millis_training
1247.2961679995933