10227090
1
Jan van Rijn
9986
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)
8152522
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, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 122, 123, 124, 125, 126, 127]}}, {"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
"mae"
9667
init
null
9667
learning_rate
0.0007137665956764391
9667
loss
"deviance"
9667
max_depth
2
9667
max_features
0.42744554942923063
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.699043730111652
9667
min_impurity_split
null
9667
min_samples_leaf
11
9667
min_samples_split
11
9667
min_weight_fraction_leaf
0.11567826354799554
9667
n_estimators
566
9667
n_iter_no_change
1744
9667
presort
"auto"
9667
random_state
60709
9667
subsample
0.5225241017354955
9667
tol
1.0027465233089489e-05
9667
validation_fraction
0.5195480233123896
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
1476
gas-drift
https://www.openml.org/data/download/1588715/phpbL6t4U
-1
21375096
description
https://api.openml.org/data/download/21375096/description.xml
-1
21375097
predictions
https://api.openml.org/data/download/21375097/predictions.arff
area_under_roc_curve
0.49976619916874493 [0.499522,0.499481,0.499689,0.50033,0.500191,0.49934]
average_cost
0
kappa
0
kb_relative_information_score
334.62364337488464
mean_absolute_error
0.2765037226341193
mean_prior_absolute_error
0.27476832857057837
number_of_instances
13910 [2565,2926,1641,1936,3009,1833]
predictive_accuracy
0.21631919482386772
prior_entropy
2.5457299651568843
recall
0.21631919482386772 [0,0,0,0,1,0]
relative_absolute_error
1.0063158445974068
root_mean_prior_squared_error
0.37065282342196226
root_mean_squared_error
0.37133122125022744
root_relative_squared_error
1.001830278323532
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
33.451198618268315
kb_relative_information_score
33.451198618268315
kb_relative_information_score
33.451198618268315
kb_relative_information_score
33.389385275775254
kb_relative_information_score
33.45978601919781
kb_relative_information_score
33.45978601919781
kb_relative_information_score
33.45978601919781
kb_relative_information_score
33.45978601919781
kb_relative_information_score
33.45978601919781
kb_relative_information_score
33.58173214828619
mean_absolute_error
0.2765040799118129
mean_absolute_error
0.2765040799118129
mean_absolute_error
0.2765040799118129
mean_absolute_error
0.2764983756428016
mean_absolute_error
0.2765027016198604
mean_absolute_error
0.2765027016198604
mean_absolute_error
0.2765027016198604
mean_absolute_error
0.2765027016198604
mean_absolute_error
0.2765027016198604
mean_absolute_error
0.27651310286348807
mean_prior_absolute_error
0.27477202746106094
mean_prior_absolute_error
0.27477202746106094
mean_prior_absolute_error
0.27477202746106094
mean_prior_absolute_error
0.2747532058256237
mean_prior_absolute_error
0.27476403730658433
mean_prior_absolute_error
0.27476403730658433
mean_prior_absolute_error
0.27476403730658433
mean_prior_absolute_error
0.27476403730658433
mean_prior_absolute_error
0.27476403730658433
mean_prior_absolute_error
0.2747938109641058
number_of_instances
1391 [257,292,164,193,301,184]
number_of_instances
1391 [257,292,164,193,301,184]
number_of_instances
1391 [257,292,164,193,301,184]
number_of_instances
1391 [257,293,164,193,301,183]
number_of_instances
1391 [256,293,164,194,301,183]
number_of_instances
1391 [256,293,164,194,301,183]
number_of_instances
1391 [256,293,164,194,301,183]
number_of_instances
1391 [256,293,164,194,301,183]
number_of_instances
1391 [256,293,164,194,301,183]
number_of_instances
1391 [257,292,165,194,300,183]
predictive_accuracy
0.21639108554996406
predictive_accuracy
0.21639108554996406
predictive_accuracy
0.21639108554996406
predictive_accuracy
0.21639108554996406
predictive_accuracy
0.21639108554996406
predictive_accuracy
0.21639108554996406
predictive_accuracy
0.21639108554996406
predictive_accuracy
0.21639108554996406
predictive_accuracy
0.21639108554996406
predictive_accuracy
0.21567217828900073
prior_entropy
2.5457299651568843
prior_entropy
2.5457299651568843
prior_entropy
2.5457299651568843
prior_entropy
2.5457299651568843
prior_entropy
2.5457299651568843
prior_entropy
2.5457299651568843
prior_entropy
2.5457299651568843
prior_entropy
2.5457299651568843
prior_entropy
2.5457299651568843
prior_entropy
2.5457299651568843
recall
0.21639108554996406 [0,0,0,0,1,0]
recall
0.21639108554996406 [0,0,0,0,1,0]
recall
0.21639108554996406 [0,0,0,0,1,0]
recall
0.21639108554996406 [0,0,0,0,1,0]
recall
0.21639108554996406 [0,0,0,0,1,0]
recall
0.21639108554996406 [0,0,0,0,1,0]
recall
0.21639108554996406 [0,0,0,0,1,0]
recall
0.21639108554996406 [0,0,0,0,1,0]
recall
0.21639108554996406 [0,0,0,0,1,0]
recall
0.21567217828900073 [0,0,0,0,1,0]
relative_absolute_error
1.006303598174663
relative_absolute_error
1.006303598174663
relative_absolute_error
1.006303598174663
relative_absolute_error
1.0063517723548803
relative_absolute_error
1.00632784526796
relative_absolute_error
1.00632784526796
relative_absolute_error
1.00632784526796
relative_absolute_error
1.00632784526796
relative_absolute_error
1.00632784526796
relative_absolute_error
1.006256661652423
root_mean_prior_squared_error
0.3706578130852553
root_mean_prior_squared_error
0.3706578130852553
root_mean_prior_squared_error
0.3706578130852553
root_mean_prior_squared_error
0.37063242271245894
root_mean_prior_squared_error
0.37064703458501796
root_mean_prior_squared_error
0.37064703458501796
root_mean_prior_squared_error
0.37064703458501796
root_mean_prior_squared_error
0.37064703458501796
root_mean_prior_squared_error
0.37064703458501796
root_mean_prior_squared_error
0.37068719684417073
root_mean_squared_error
0.371332300964111
root_mean_squared_error
0.371332300964111
root_mean_squared_error
0.371332300964111
root_mean_squared_error
0.37132359538797083
root_mean_squared_error
0.3713294204192663
root_mean_squared_error
0.3713294204192663
root_mean_squared_error
0.3713294204192663
root_mean_squared_error
0.3713294204192663
root_mean_squared_error
0.3713294204192663
root_mean_squared_error
0.3713446117792738
root_relative_squared_error
1.0018197050083513
root_relative_squared_error
1.0018197050083513
root_relative_squared_error
1.0018197050083513
root_relative_squared_error
1.0018648467677316
root_relative_squared_error
1.0018410664879926
root_relative_squared_error
1.0018410664879926
root_relative_squared_error
1.0018410664879926
root_relative_squared_error
1.0018410664879926
root_relative_squared_error
1.0018410664879926
root_relative_squared_error
1.0017735032143
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
4236201.615812999
usercpu_time_millis
4214897.406513001
usercpu_time_millis
4181920.8842030005
usercpu_time_millis
4014445.6787340026
usercpu_time_millis
4014910.812469003
usercpu_time_millis
3832471.421377999
usercpu_time_millis
3740940.6999290003
usercpu_time_millis
3734011.344643997
usercpu_time_millis
3732978.985065001
usercpu_time_millis
3728666.578466
usercpu_time_millis_testing
16.81417199961288
usercpu_time_millis_testing
15.844372001083684
usercpu_time_millis_testing
16.019250000681495
usercpu_time_millis_testing
15.14654900165624
usercpu_time_millis_testing
15.879989001405193
usercpu_time_millis_testing
14.15136599825928
usercpu_time_millis_testing
14.561295000021346
usercpu_time_millis_testing
14.071043999138055
usercpu_time_millis_testing
14.718878002895508
usercpu_time_millis_testing
13.874609998310916
usercpu_time_millis_training
4236184.8016409995
usercpu_time_millis_training
4214881.562140999
usercpu_time_millis_training
4181904.8649529996
usercpu_time_millis_training
4014430.532185001
usercpu_time_millis_training
4014894.9324800014
usercpu_time_millis_training
3832457.2700120006
usercpu_time_millis_training
3740926.1386340004
usercpu_time_millis_training
3733997.273599998
usercpu_time_millis_training
3732964.266186998
usercpu_time_millis_training
3728652.7038560016