10226509
1
Jan van Rijn
9983
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)
8151941
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]}}, {"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
0.03125880067536168
9667
loss
"deviance"
9667
max_depth
25
9667
max_features
0.3306706556870077
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.9990803990646743
9667
min_impurity_split
null
9667
min_samples_leaf
10
9667
min_samples_split
3
9667
min_weight_fraction_leaf
0.35116292567827856
9667
n_estimators
170
9667
n_iter_no_change
1277
9667
presort
"auto"
9667
random_state
52765
9667
subsample
0.8011577886849449
9667
tol
0.05197656414693303
9667
validation_fraction
0.7299656638213107
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
1471
eeg-eye-state
https://www.openml.org/data/download/1587924/phplE7q6h
-1
21373934
description
https://api.openml.org/data/download/21373934/description.xml
-1
21373935
predictions
https://api.openml.org/data/download/21373935/predictions.arff
area_under_roc_curve
0.5 [0.5,0.5]
average_cost
0
kappa
0
kb_relative_information_score
-21.735630036914834
mean_absolute_error
0.4952076441121473
mean_prior_absolute_error
0.4947574918117115
number_of_instances
14980 [8257,6723]
predictive_accuracy
0.5512016021361815
prior_entropy
0.9924243999391255
recall
0.5512016021361815 [1,0]
relative_absolute_error
1.0009098443336095
root_mean_prior_squared_error
0.4973714869043071
root_mean_squared_error
0.4973909728248185
root_relative_squared_error
1.0000391777997422
total_cost
0
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
0.5 [0.5,0.5]
area_under_roc_curve
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
-2.182064553901489
kb_relative_information_score
-2.182064553901489
kb_relative_information_score
-2.182064553901489
kb_relative_information_score
-2.182064553901489
kb_relative_information_score
-2.182064553901489
kb_relative_information_score
-2.182064553901489
kb_relative_information_score
-2.182064553901489
kb_relative_information_score
-2.15372605320147
kb_relative_information_score
-2.15372605320147
kb_relative_information_score
-2.15372605320147
mean_absolute_error
0.4951888995649948
mean_absolute_error
0.4951888995649948
mean_absolute_error
0.4951888995649948
mean_absolute_error
0.4951888995649948
mean_absolute_error
0.4951888995649948
mean_absolute_error
0.4951888995649948
mean_absolute_error
0.4951888995649948
mean_absolute_error
0.49525138138882596
mean_absolute_error
0.49525138138882596
mean_absolute_error
0.49525138138882596
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.494736986564547
mean_prior_absolute_error
0.49480533738838384
mean_prior_absolute_error
0.49480533738838384
mean_prior_absolute_error
0.49480533738838384
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [826,672]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
number_of_instances
1498 [825,673]
predictive_accuracy
0.5514018691588786
predictive_accuracy
0.5514018691588786
predictive_accuracy
0.5514018691588786
predictive_accuracy
0.5514018691588786
predictive_accuracy
0.5514018691588786
predictive_accuracy
0.5514018691588786
predictive_accuracy
0.5514018691588786
predictive_accuracy
0.5507343124165555
predictive_accuracy
0.5507343124165555
predictive_accuracy
0.5507343124165555
prior_entropy
0.9924243999391255
prior_entropy
0.9924243999391255
prior_entropy
0.9924243999391255
prior_entropy
0.9924243999391255
prior_entropy
0.9924243999391255
prior_entropy
0.9924243999391255
prior_entropy
0.9924243999391255
prior_entropy
0.9924243999391255
prior_entropy
0.9924243999391255
prior_entropy
0.9924243999391255
recall
0.5514018691588785 [1,0]
recall
0.5514018691588785 [1,0]
recall
0.5514018691588785 [1,0]
recall
0.5514018691588785 [1,0]
recall
0.5514018691588785 [1,0]
recall
0.5514018691588785 [1,0]
recall
0.5514018691588785 [1,0]
recall
0.5507343124165555 [1,0]
recall
0.5507343124165555 [1,0]
recall
0.5507343124165555 [1,0]
relative_absolute_error
1.0009134409044003
relative_absolute_error
1.0009134409044003
relative_absolute_error
1.0009134409044003
relative_absolute_error
1.0009134409044003
relative_absolute_error
1.0009134409044003
relative_absolute_error
1.0009134409044003
relative_absolute_error
1.0009134409044003
relative_absolute_error
1.0009014534944114
relative_absolute_error
1.0009014534944114
relative_absolute_error
1.0009014534944114
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4973508728636661
root_mean_prior_squared_error
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_prior_squared_error
0.4974195830102464
root_mean_squared_error
0.49737212959763366
root_mean_squared_error
0.49737212959763366
root_mean_squared_error
0.49737212959763366
root_mean_squared_error
0.49737212959763366
root_mean_squared_error
0.49737212959763366
root_mean_squared_error
0.49737212959763366
root_mean_squared_error
0.49737212959763366
root_mean_squared_error
0.4974349375790933
root_mean_squared_error
0.4974349375790933
root_mean_squared_error
0.4974349375790933
root_relative_squared_error
1.000042739914872
root_relative_squared_error
1.000042739914872
root_relative_squared_error
1.000042739914872
root_relative_squared_error
1.000042739914872
root_relative_squared_error
1.000042739914872
root_relative_squared_error
1.000042739914872
root_relative_squared_error
1.000042739914872
root_relative_squared_error
1.0000308684446115
root_relative_squared_error
1.0000308684446115
root_relative_squared_error
1.0000308684446115
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
397.0174650021363
usercpu_time_millis
385.3212550020544
usercpu_time_millis
363.62708400702104
usercpu_time_millis
360.0838069978636
usercpu_time_millis
363.5675350014935
usercpu_time_millis
360.0895479976316
usercpu_time_millis
360.0973960055853
usercpu_time_millis
359.6259500045562
usercpu_time_millis
359.2409939956269
usercpu_time_millis
359.3354949989589
usercpu_time_millis_testing
1.7827789997681975
usercpu_time_millis_testing
1.655066997045651
usercpu_time_millis_testing
1.6463350038975477
usercpu_time_millis_testing
1.7889769951580092
usercpu_time_millis_testing
1.6369970035157166
usercpu_time_millis_testing
1.7568449984537438
usercpu_time_millis_testing
1.6776289994595572
usercpu_time_millis_testing
1.640533002500888
usercpu_time_millis_testing
1.7868259965325706
usercpu_time_millis_testing
1.6411120013799518
usercpu_time_millis_training
395.2346860023681
usercpu_time_millis_training
383.66618800500873
usercpu_time_millis_training
361.9807490031235
usercpu_time_millis_training
358.29483000270557
usercpu_time_millis_training
361.9305379979778
usercpu_time_millis_training
358.33270299917785
usercpu_time_millis_training
358.41976700612577
usercpu_time_millis_training
357.9854170020553
usercpu_time_millis_training
357.45416799909435
usercpu_time_millis_training
357.69438299757894