10226901
1
Jan van Rijn
125921
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)
8152333
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]}}, {"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
"median"
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
"mae"
9667
init
null
9667
learning_rate
0.00011726063171750891
9667
loss
"deviance"
9667
max_depth
11
9667
max_features
0.4982736206088654
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.5540077330259617
9667
min_impurity_split
null
9667
min_samples_leaf
13
9667
min_samples_split
4
9667
min_weight_fraction_leaf
0.29347726677943176
9667
n_estimators
65
9667
n_iter_no_change
1393
9667
presort
"auto"
9667
random_state
9312
9667
subsample
0.9220514369983559
9667
tol
0.0022220807860336266
9667
validation_fraction
0.5208328316720371
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
40496
LED-display-domain-7digit
https://www.openml.org/data/download/4535757/phpSj3fWL
-1
21374718
description
https://api.openml.org/data/download/21374718/description.xml
-1
21374719
predictions
https://api.openml.org/data/download/21374719/predictions.arff
area_under_roc_curve
0.4958266327951149 [0.469475,0.47811,0.505459,0.484159,0.504293,0.51717,0.508219,0.50495,0.478895,0.501131]
average_cost
0
kappa
0
kb_relative_information_score
8.267536610895586
mean_absolute_error
0.18000089531590152
mean_prior_absolute_error
0.17974901960784273
number_of_instances
500 [45,37,51,57,52,52,47,57,53,49]
predictive_accuracy
0.094
prior_entropy
3.3126901837382854
recall
0.094 [0,0,0,0,0,0,1,0,0,0]
relative_absolute_error
1.0014012633204248
root_mean_prior_squared_error
0.29978667283894056
root_mean_squared_error
0.3000104300807198
root_relative_squared_error
1.0007463882221992
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
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
0.8572706069076068
kb_relative_information_score
0.8572706069076068
kb_relative_information_score
0.8047922315213065
kb_relative_information_score
0.8033759565318802
kb_relative_information_score
0.815964860077376
kb_relative_information_score
0.889006532255522
kb_relative_information_score
0.9090513206796974
kb_relative_information_score
0.7769348320048554
kb_relative_information_score
0.7769348320048554
kb_relative_information_score
0.7769348320048554
mean_absolute_error
0.18000983986863592
mean_absolute_error
0.18000983986863592
mean_absolute_error
0.18002985709134867
mean_absolute_error
0.18000986294603852
mean_absolute_error
0.18001577098518673
mean_absolute_error
0.1799919899877928
mean_absolute_error
0.17998394740785137
mean_absolute_error
0.17998594833450693
mean_absolute_error
0.17998594833450693
mean_absolute_error
0.17998594833450693
mean_prior_absolute_error
0.17978039215686284
mean_prior_absolute_error
0.17978039215686284
mean_prior_absolute_error
0.17974117647058832
mean_prior_absolute_error
0.17970980392156874
mean_prior_absolute_error
0.17975686274509817
mean_prior_absolute_error
0.17981960784313739
mean_prior_absolute_error
0.17984313725490206
mean_prior_absolute_error
0.17968627450980404
mean_prior_absolute_error
0.17968627450980404
mean_prior_absolute_error
0.17968627450980404
number_of_instances
50 [4,4,5,5,5,5,5,6,6,5]
number_of_instances
50 [4,4,5,5,5,5,5,6,6,5]
number_of_instances
50 [4,4,5,5,5,6,4,6,6,5]
number_of_instances
50 [4,4,5,6,5,6,4,6,5,5]
number_of_instances
50 [4,4,6,6,6,5,4,5,5,5]
number_of_instances
50 [5,4,5,6,6,5,5,5,5,4]
number_of_instances
50 [5,4,5,6,5,5,5,5,5,5]
number_of_instances
50 [5,3,5,6,5,5,5,6,5,5]
number_of_instances
50 [5,3,5,6,5,5,5,6,5,5]
number_of_instances
50 [5,3,5,6,5,5,5,6,5,5]
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.08
predictive_accuracy
0.08
predictive_accuracy
0.08
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
prior_entropy
3.3126901837382854
recall
0.1 [0,0,0,0,0,0,1,0,0,0]
recall
0.1 [0,0,0,0,0,0,1,0,0,0]
recall
0.08 [0,0,0,0,0,0,1,0,0,0]
recall
0.08 [0,0,0,0,0,0,1,0,0,0]
recall
0.08 [0,0,0,0,0,0,1,0,0,0]
recall
0.1 [0,0,0,0,0,0,1,0,0,0]
recall
0.1 [0,0,0,0,0,0,1,0,0,0]
recall
0.1 [0,0,0,0,0,0,1,0,0,0]
recall
0.1 [0,0,0,0,0,0,1,0,0,0]
recall
0.1 [0,0,0,0,0,0,1,0,0,0]
relative_absolute_error
1.0012762666107262
relative_absolute_error
1.0012762666107262
relative_absolute_error
1.0016060906378208
relative_absolute_error
1.0016696864496093
relative_absolute_error
1.001440324648165
relative_absolute_error
1.000958639309267
relative_absolute_error
1.0007829609464038
relative_absolute_error
1.0016677613552867
relative_absolute_error
1.0016677613552867
relative_absolute_error
1.0016677613552867
root_mean_prior_squared_error
0.2998389930627122
root_mean_prior_squared_error
0.2998389930627122
root_mean_prior_squared_error
0.2997735913561878
root_mean_prior_squared_error
0.2997212597157016
root_mean_prior_squared_error
0.2997997537508937
root_mean_prior_squared_error
0.29990438050674706
root_mean_prior_squared_error
0.29994360613105325
root_mean_prior_squared_error
0.2996820049882915
root_mean_prior_squared_error
0.2996820049882915
root_mean_prior_squared_error
0.2996820049882915
root_mean_squared_error
0.3000255842213474
root_mean_squared_error
0.3000255842213474
root_mean_squared_error
0.30005817864004536
root_mean_squared_error
0.30002485967577963
root_mean_squared_error
0.3000349461179416
root_mean_squared_error
0.2999957502542377
root_mean_squared_error
0.29998234546496483
root_mean_squared_error
0.29998568052044927
root_mean_squared_error
0.29998568052044927
root_mean_squared_error
0.29998568052044927
root_relative_squared_error
1.000622304513263
root_relative_squared_error
1.000622304513263
root_relative_squared_error
1.0009493407426922
root_relative_squared_error
1.0010129410251578
root_relative_squared_error
1.0007844981995662
root_relative_squared_error
1.0003046629306855
root_relative_squared_error
1.0001291553916127
root_relative_squared_error
1.0010133258824454
root_relative_squared_error
1.0010133258824454
root_relative_squared_error
1.0010133258824454
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
445.4846900043776
usercpu_time_millis
422.03626099944813
usercpu_time_millis
391.8336230053683
usercpu_time_millis
423.52389000734547
usercpu_time_millis
392.89725700655254
usercpu_time_millis
392.55685600073775
usercpu_time_millis
394.06736800447106
usercpu_time_millis
392.6818740001181
usercpu_time_millis
393.25633399857907
usercpu_time_millis
394.22515399201075
usercpu_time_millis_testing
1.1267950030742213
usercpu_time_millis_testing
1.8311860039830208
usercpu_time_millis_testing
1.017567999952007
usercpu_time_millis_testing
1.1807460032287054
usercpu_time_millis_testing
0.9312050024163909
usercpu_time_millis_testing
1.0564080002950504
usercpu_time_millis_testing
1.0120400038431399
usercpu_time_millis_testing
1.128720999986399
usercpu_time_millis_testing
1.0094640019815415
usercpu_time_millis_testing
1.0400209939689375
usercpu_time_millis_training
444.3578950013034
usercpu_time_millis_training
420.2050749954651
usercpu_time_millis_training
390.8160550054163
usercpu_time_millis_training
422.34314400411677
usercpu_time_millis_training
391.96605200413615
usercpu_time_millis_training
391.5004480004427
usercpu_time_millis_training
393.0553280006279
usercpu_time_millis_training
391.5531530001317
usercpu_time_millis_training
392.2468699965975
usercpu_time_millis_training
393.1851329980418