10226325
1
Jan van Rijn
9985
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)
8151757
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, 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]}}, {"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
"mse"
9667
init
null
9667
learning_rate
0.0008047583487351094
9667
loss
"deviance"
9667
max_depth
6
9667
max_features
0.7050225502044629
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.31286338210273135
9667
min_impurity_split
null
9667
min_samples_leaf
8
9667
min_samples_split
4
9667
min_weight_fraction_leaf
0.14116879817645817
9667
n_estimators
94
9667
n_iter_no_change
1823
9667
presort
"auto"
9667
random_state
44474
9667
subsample
0.7795169875496862
9667
tol
1.0708674357279863e-05
9667
validation_fraction
0.41216162294502234
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
1475
first-order-theorem-proving
https://www.openml.org/data/download/1587932/phpPbCMyg
-1
21373566
description
https://api.openml.org/data/download/21373566/description.xml
-1
21373567
predictions
https://api.openml.org/data/download/21373567/predictions.arff
area_under_roc_curve
0.49979578585676687 [0.499338,0.499858,0.499699,0.498974,0.498896,0.500426]
average_cost
0
kappa
0
kb_relative_information_score
151.98232719741017
mean_absolute_error
0.27155868231691205
mean_prior_absolute_error
0.2507645736611627
number_of_instances
6118 [1089,486,748,617,624,2554]
predictive_accuracy
0.41745668519123896
prior_entropy
2.3005357949491803
recall
0.41745668519123896 [0,0,0,0,0,1]
relative_absolute_error
1.0829228321694542
root_mean_prior_squared_error
0.35407492669342416
root_mean_squared_error
0.36522002091810973
root_relative_squared_error
1.0314766547543073
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
14.978051547212855
kb_relative_information_score
15.309196364976295
kb_relative_information_score
15.692135130309913
kb_relative_information_score
15.443827467610529
kb_relative_information_score
15.443827467610529
kb_relative_information_score
15.443827467610529
kb_relative_information_score
15.443827467610529
kb_relative_information_score
15.012920516037786
kb_relative_information_score
14.555726438713384
kb_relative_information_score
14.658987329713984
mean_absolute_error
0.2715610843573309
mean_absolute_error
0.2715894240330238
mean_absolute_error
0.2715988495249443
mean_absolute_error
0.2715921684833215
mean_absolute_error
0.2715921684833215
mean_absolute_error
0.2715921684833215
mean_absolute_error
0.2715921684833215
mean_absolute_error
0.2715520137946146
mean_absolute_error
0.27145754977123293
mean_absolute_error
0.2714588994616629
mean_prior_absolute_error
0.25067495791407446
mean_prior_absolute_error
0.25083558171073006
mean_prior_absolute_error
0.25088921191526126
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25084785528987646
mean_prior_absolute_error
0.25067558048692967
mean_prior_absolute_error
0.25058368192114683
mean_prior_absolute_error
0.25059472840439195
number_of_instances
612 [109,48,74,62,63,256]
number_of_instances
612 [109,48,75,62,63,255]
number_of_instances
612 [108,49,75,62,63,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,62,62,255]
number_of_instances
612 [109,49,75,61,62,256]
number_of_instances
611 [109,48,75,61,62,256]
number_of_instances
611 [109,48,74,61,63,256]
predictive_accuracy
0.41830065359477125
predictive_accuracy
0.41666666666666663
predictive_accuracy
0.41666666666666663
predictive_accuracy
0.41666666666666663
predictive_accuracy
0.41666666666666663
predictive_accuracy
0.41666666666666663
predictive_accuracy
0.41666666666666663
predictive_accuracy
0.41830065359477125
predictive_accuracy
0.41898527004909986
predictive_accuracy
0.41898527004909986
prior_entropy
2.3005357949491803
prior_entropy
2.3005357949491803
prior_entropy
2.3005357949491803
prior_entropy
2.3005357949491803
prior_entropy
2.3005357949491803
prior_entropy
2.3005357949491803
prior_entropy
2.3005357949491803
prior_entropy
2.3005357949491803
prior_entropy
2.3005357949491803
prior_entropy
2.3005357949491803
recall
0.41830065359477125 [0,0,0,0,0,1]
recall
0.4166666666666667 [0,0,0,0,0,1]
recall
0.4166666666666667 [0,0,0,0,0,1]
recall
0.4166666666666667 [0,0,0,0,0,1]
recall
0.4166666666666667 [0,0,0,0,0,1]
recall
0.4166666666666667 [0,0,0,0,0,1]
recall
0.4166666666666667 [0,0,0,0,0,1]
recall
0.41830065359477125 [0,0,0,0,0,1]
recall
0.41898527004909986 [0,0,0,0,0,1]
recall
0.41898527004909986 [0,0,0,0,0,1]
relative_absolute_error
1.0833195569954608
relative_absolute_error
1.0827388290797897
relative_absolute_error
1.0825449506241736
relative_absolute_error
1.0826967931197704
relative_absolute_error
1.0826967931197704
relative_absolute_error
1.0826967931197704
relative_absolute_error
1.0826967931197704
relative_absolute_error
1.083280682015907
relative_absolute_error
1.0833009862815195
relative_absolute_error
1.0832586191661695
root_mean_prior_squared_error
0.35394835494159665
root_mean_prior_squared_error
0.3541751851309153
root_mean_prior_squared_error
0.3542508884492025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3541925116962025
root_mean_prior_squared_error
0.3539492344090008
root_mean_prior_squared_error
0.3538193917423618
root_mean_prior_squared_error
0.35383500173976573
root_mean_squared_error
0.36521621631014306
root_mean_squared_error
0.36525755054479564
root_mean_squared_error
0.3652710787341873
root_mean_squared_error
0.36526148149416793
root_mean_squared_error
0.36526148149416793
root_mean_squared_error
0.36526148149416793
root_mean_squared_error
0.36526148149416793
root_mean_squared_error
0.36520651031246343
root_mean_squared_error
0.3651002719894395
root_mean_squared_error
0.36510221340006627
root_relative_squared_error
1.0318347612334733
root_relative_squared_error
1.031290632091528
root_relative_squared_error
1.0311084337239849
root_relative_squared_error
1.0312512812452101
root_relative_squared_error
1.0312512812452101
root_relative_squared_error
1.0312512812452101
root_relative_squared_error
1.0312512812452101
root_relative_squared_error
1.0318047754002329
root_relative_squared_error
1.0318831599125353
root_relative_squared_error
1.0318431235036132
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
1849.689684000623
usercpu_time_millis
1746.4141769960406
usercpu_time_millis
1744.2294040083652
usercpu_time_millis
1739.306621006108
usercpu_time_millis
1789.6913579970715
usercpu_time_millis
1755.5753579945303
usercpu_time_millis
1791.228054993553
usercpu_time_millis
1740.555916003359
usercpu_time_millis
1791.839085999527
usercpu_time_millis
1777.6851390008233
usercpu_time_millis_testing
2.5344649984617718
usercpu_time_millis_testing
3.0564289991161786
usercpu_time_millis_testing
2.5990100039052777
usercpu_time_millis_testing
2.5165450060740113
usercpu_time_millis_testing
2.597727994725574
usercpu_time_millis_testing
2.523397000913974
usercpu_time_millis_testing
2.565585993579589
usercpu_time_millis_testing
2.524846000596881
usercpu_time_millis_testing
2.573468998889439
usercpu_time_millis_testing
2.5320689965155907
usercpu_time_millis_training
1847.1552190021612
usercpu_time_millis_training
1743.3577479969244
usercpu_time_millis_training
1741.63039400446
usercpu_time_millis_training
1736.7900760000339
usercpu_time_millis_training
1787.093630002346
usercpu_time_millis_training
1753.0519609936164
usercpu_time_millis_training
1788.6624689999735
usercpu_time_millis_training
1738.0310700027621
usercpu_time_millis_training
1789.2656170006376
usercpu_time_millis_training
1775.1530700043077