10227066
1
Jan van Rijn
14969
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)
8152498
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]}}, {"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
"mae"
9667
init
null
9667
learning_rate
0.03079394904256468
9667
loss
"deviance"
9667
max_depth
28
9667
max_features
0.74175078329441
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.9932962491319992
9667
min_impurity_split
null
9667
min_samples_leaf
14
9667
min_samples_split
7
9667
min_weight_fraction_leaf
0.4473017155306188
9667
n_estimators
1780
9667
n_iter_no_change
1690
9667
presort
"auto"
9667
random_state
26507
9667
subsample
0.41743903523968295
9667
tol
0.0007940811002395945
9667
validation_fraction
0.0662066941680095
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
4538
GesturePhaseSegmentationProcessed
https://www.openml.org/data/download/1798765/phpYLeydd
-1
21375048
description
https://api.openml.org/data/download/21375048/description.xml
-1
21375049
predictions
https://api.openml.org/data/download/21375049/predictions.arff
area_under_roc_curve
0.49978578215181013 [0.500072,0.499659,0.499774,0.499034,0.499848]
average_cost
0
kappa
0
kb_relative_information_score
18.615936400727705
mean_absolute_error
0.3065134339365114
mean_prior_absolute_error
0.3064842019667116
number_of_instances
9873 [2741,998,2097,1087,2950]
predictive_accuracy
0.2987946925959688
prior_entropy
2.193560272363199
recall
0.2987946925959688 [0,0,0,0,1]
relative_absolute_error
1.000095378390182
root_mean_prior_squared_error
0.39145712447409964
root_mean_squared_error
0.3914619126536986
root_relative_squared_error
1.0000122316833688
total_cost
0
area_under_roc_curve
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]
area_under_roc_curve
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]
area_under_roc_curve
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]
area_under_roc_curve
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]
area_under_roc_curve
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]
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
1.6085102181047108
kb_relative_information_score
1.6085102181047108
kb_relative_information_score
1.6085102181047108
kb_relative_information_score
1.919010369676669
kb_relative_information_score
1.9140235179777059
kb_relative_information_score
1.993220946021027
kb_relative_information_score
1.993220946021027
kb_relative_information_score
1.9903099889051363
kb_relative_information_score
1.9903099889051363
kb_relative_information_score
1.9903099889051363
mean_absolute_error
0.30651165642879774
mean_absolute_error
0.30651165642879774
mean_absolute_error
0.30651165642879774
mean_absolute_error
0.30650180485562534
mean_absolute_error
0.30644439722921163
mean_absolute_error
0.3065084354437997
mean_absolute_error
0.3065084354437997
mean_absolute_error
0.3065454341697258
mean_absolute_error
0.3065454341697258
mean_absolute_error
0.3065454341697258
mean_prior_absolute_error
0.30651433316420246
mean_prior_absolute_error
0.30651433316420246
mean_prior_absolute_error
0.30651433316420246
mean_prior_absolute_error
0.30646060253225527
mean_prior_absolute_error
0.3063927432405889
mean_prior_absolute_error
0.3064642539693521
mean_prior_absolute_error
0.3064642539693521
mean_prior_absolute_error
0.30650569162629465
mean_prior_absolute_error
0.30650569162629465
mean_prior_absolute_error
0.30650569162629465
number_of_instances
988 [274,100,210,109,295]
number_of_instances
988 [274,100,210,109,295]
number_of_instances
988 [274,100,210,109,295]
number_of_instances
987 [274,99,210,109,295]
number_of_instances
987 [275,99,210,108,295]
number_of_instances
987 [274,100,210,108,295]
number_of_instances
987 [274,100,210,108,295]
number_of_instances
987 [274,100,209,109,295]
number_of_instances
987 [274,100,209,109,295]
number_of_instances
987 [274,100,209,109,295]
predictive_accuracy
0.298582995951417
predictive_accuracy
0.298582995951417
predictive_accuracy
0.298582995951417
predictive_accuracy
0.2988855116514691
predictive_accuracy
0.2988855116514691
predictive_accuracy
0.2988855116514691
predictive_accuracy
0.2988855116514691
predictive_accuracy
0.2988855116514691
predictive_accuracy
0.2988855116514691
predictive_accuracy
0.2988855116514691
prior_entropy
2.193560272363199
prior_entropy
2.193560272363199
prior_entropy
2.193560272363199
prior_entropy
2.193560272363199
prior_entropy
2.193560272363199
prior_entropy
2.193560272363199
prior_entropy
2.193560272363199
prior_entropy
2.193560272363199
prior_entropy
2.193560272363199
prior_entropy
2.193560272363199
recall
0.298582995951417 [0,0,0,0,1]
recall
0.298582995951417 [0,0,0,0,1]
recall
0.298582995951417 [0,0,0,0,1]
recall
0.2988855116514691 [0,0,0,0,1]
recall
0.2988855116514691 [0,0,0,0,1]
recall
0.2988855116514691 [0,0,0,0,1]
recall
0.2988855116514691 [0,0,0,0,1]
recall
0.2988855116514691 [0,0,0,0,1]
recall
0.2988855116514691 [0,0,0,0,1]
recall
0.2988855116514691 [0,0,0,0,1]
relative_absolute_error
0.999991267177045
relative_absolute_error
0.999991267177045
relative_absolute_error
0.999991267177045
relative_absolute_error
1.0001344457428774
relative_absolute_error
1.0001685875065982
relative_absolute_error
1.0001441651803606
relative_absolute_error
1.0001441651803606
relative_absolute_error
1.0001296633130048
relative_absolute_error
1.0001296633130048
relative_absolute_error
1.0001296633130048
root_mean_prior_squared_error
0.3914956085309407
root_mean_prior_squared_error
0.3914956085309407
root_mean_prior_squared_error
0.3914956085309407
root_mean_prior_squared_error
0.3914269802492724
root_mean_prior_squared_error
0.39134028871992976
root_mean_prior_squared_error
0.3914316444849103
root_mean_prior_squared_error
0.3914316444849103
root_mean_prior_squared_error
0.3914845718046929
root_mean_prior_squared_error
0.3914845718046929
root_mean_prior_squared_error
0.3914845718046929
root_mean_squared_error
0.39149929799937205
root_mean_squared_error
0.39149929799937205
root_mean_squared_error
0.39149929799937205
root_mean_squared_error
0.39143072273593177
root_mean_squared_error
0.3913441331470088
root_mean_squared_error
0.391436865384458
root_mean_squared_error
0.391436865384458
root_mean_squared_error
0.39149083437470694
root_mean_squared_error
0.39149083437470694
root_mean_squared_error
0.39149083437470694
root_relative_squared_error
1.0000094240352917
root_relative_squared_error
1.0000094240352917
root_relative_squared_error
1.0000094240352917
root_relative_squared_error
1.0000095611361715
root_relative_squared_error
1.000009823744679
root_relative_squared_error
1.0000133379598233
root_relative_squared_error
1.0000133379598233
root_relative_squared_error
1.000015996977825
root_relative_squared_error
1.000015996977825
root_relative_squared_error
1.000015996977825
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
2718363.467424002
usercpu_time_millis
2729204.368254999
usercpu_time_millis
2669093.0298970016
usercpu_time_millis
2616437.5046800016
usercpu_time_millis
2623910.4059270034
usercpu_time_millis
2621221.169743003
usercpu_time_millis
2566050.972681005
usercpu_time_millis
2515809.0592750013
usercpu_time_millis
2519416.135746003
usercpu_time_millis
2515919.233449
usercpu_time_millis_testing
22.201211002538912
usercpu_time_millis_testing
20.709961998363724
usercpu_time_millis_testing
21.188017999520525
usercpu_time_millis_testing
20.44290599951637
usercpu_time_millis_testing
20.89559200248914
usercpu_time_millis_testing
19.974667000496993
usercpu_time_millis_testing
20.62545600347221
usercpu_time_millis_testing
19.76708599977428
usercpu_time_millis_testing
20.624748001864646
usercpu_time_millis_testing
19.83409300009953
usercpu_time_millis_training
2718341.2662129994
usercpu_time_millis_training
2729183.658293001
usercpu_time_millis_training
2669071.841879002
usercpu_time_millis_training
2616417.061774002
usercpu_time_millis_training
2623889.5103350007
usercpu_time_millis_training
2621201.1950760023
usercpu_time_millis_training
2566030.3472250015
usercpu_time_millis_training
2515789.2921890016
usercpu_time_millis_training
2519395.5109980013
usercpu_time_millis_training
2515899.3993559997