10218746
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)
8144178
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
"most_frequent"
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
0.0003594283898086674
9667
loss
"deviance"
9667
max_depth
3
9667
max_features
0.5766518102413676
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.5106941640540591
9667
min_impurity_split
null
9667
min_samples_leaf
3
9667
min_samples_split
12
9667
min_weight_fraction_leaf
0.037706282986392614
9667
n_estimators
1588
9667
n_iter_no_change
371
9667
presort
"auto"
9667
random_state
20916
9667
subsample
0.7562531903276594
9667
tol
0.0029362212532539683
9667
validation_fraction
0.42613933681355753
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
21358408
description
https://api.openml.org/data/download/21358408/description.xml
-1
21358409
predictions
https://api.openml.org/data/download/21358409/predictions.arff
area_under_roc_curve
0.5000210221817385 [0.500324,0.499057,0.500319,0.500036,0.499848]
average_cost
0
kappa
0
kb_relative_information_score
252.57302713355293
mean_absolute_error
0.31252401005043756
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
1.0197067517508844
root_mean_prior_squared_error
0.39145712447409964
root_mean_squared_error
0.39318375170474384
root_relative_squared_error
1.0044107697183027
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
25.370956279927146
kb_relative_information_score
25.370956279927146
kb_relative_information_score
25.370956279927146
kb_relative_information_score
25.117071258578036
kb_relative_information_score
24.904864589665973
kb_relative_information_score
25.160165209382416
kb_relative_information_score
25.160165209382416
kb_relative_information_score
25.37263067559471
kb_relative_information_score
25.37263067559471
kb_relative_information_score
25.37263067559471
mean_absolute_error
0.31254986688172787
mean_absolute_error
0.31254986688172787
mean_absolute_error
0.31254986688172787
mean_absolute_error
0.31250771163827834
mean_absolute_error
0.31247744549723294
mean_absolute_error
0.3125080506943995
mean_absolute_error
0.3125080506943995
mean_absolute_error
0.31252972091410963
mean_absolute_error
0.31252972091410963
mean_absolute_error
0.31252972091410963
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
1.0196908694455475
relative_absolute_error
1.0196908694455475
relative_absolute_error
1.0196908694455475
relative_absolute_error
1.0197320929870148
relative_absolute_error
1.0198591591703141
relative_absolute_error
1.0197210495082791
relative_absolute_error
1.0197210495082791
relative_absolute_error
1.0196538904574723
relative_absolute_error
1.0196538904574723
relative_absolute_error
1.0196538904574723
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
0.3932108593122875
root_mean_squared_error
0.3932108593122875
root_mean_squared_error
0.3932108593122875
root_mean_squared_error
0.3931654609306971
root_mean_squared_error
0.3931220883520716
root_mean_squared_error
0.3931669250917314
root_mean_squared_error
0.3931669250917314
root_mean_squared_error
0.3931944826746648
root_mean_squared_error
0.3931944826746648
root_mean_squared_error
0.3931944826746648
root_relative_squared_error
1.0043812771943552
root_relative_squared_error
1.0043812771943552
root_relative_squared_error
1.0043812771943552
root_relative_squared_error
1.0044413920581499
root_relative_squared_error
1.0045530697541265
root_relative_squared_error
1.0044331638263548
root_relative_squared_error
1.0044331638263548
root_relative_squared_error
1.0043677605533454
root_relative_squared_error
1.0043677605533454
root_relative_squared_error
1.0043677605533454
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
32255.582138001046
usercpu_time_millis
32227.296107001166
usercpu_time_millis
32159.724143999483
usercpu_time_millis
32326.662784998916
usercpu_time_millis
32238.21065700031
usercpu_time_millis
32197.79660599852
usercpu_time_millis
32156.82162199846
usercpu_time_millis
32232.42604400184
usercpu_time_millis
32113.430953997522
usercpu_time_millis
32107.196180000756
usercpu_time_millis_testing
18.309450999367982
usercpu_time_millis_testing
17.042254001353285
usercpu_time_millis_testing
18.61775699944701
usercpu_time_millis_testing
16.984396999760065
usercpu_time_millis_testing
17.679624001175398
usercpu_time_millis_testing
17.915152999194106
usercpu_time_millis_testing
17.168816999401315
usercpu_time_millis_testing
17.931142001543776
usercpu_time_millis_testing
17.20776199908869
usercpu_time_millis_testing
17.84308900096221
usercpu_time_millis_training
32237.272687001678
usercpu_time_millis_training
32210.253852999813
usercpu_time_millis_training
32141.106387000036
usercpu_time_millis_training
32309.678387999156
usercpu_time_millis_training
32220.531032999133
usercpu_time_millis_training
32179.881452999325
usercpu_time_millis_training
32139.65280499906
usercpu_time_millis_training
32214.494902000297
usercpu_time_millis_training
32096.223191998433
usercpu_time_millis_training
32089.353090999793