9918357
6892
Scikit-learn Bot
14
Supervised Classification
8834
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)(1)
7847731
memory
null
8834
n_jobs
null
8835
remainder
"passthrough"
8835
sparse_threshold
0.3
8835
transformer_weights
null
8835
memory
null
8836
axis
0
8837
copy
true
8837
missing_values
"NaN"
8837
strategy
"mean"
8837
verbose
0
8837
copy
true
8838
with_mean
true
8838
with_std
true
8838
memory
null
8839
copy
true
8840
fill_value
-1
8840
missing_values
NaN
8840
strategy
"constant"
8840
verbose
0
8840
categorical_features
null
8841
categories
null
8841
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
8841
handle_unknown
"ignore"
8841
n_values
null
8841
sparse
true
8841
threshold
0.0
8842
criterion
"friedman_mse"
8843
init
null
8843
learning_rate
0.963978009362221
8843
loss
"deviance"
8843
max_depth
4
8843
max_features
0.6817278645073247
8843
max_leaf_nodes
null
8843
min_impurity_decrease
0.09469212454373921
8843
min_impurity_split
null
8843
min_samples_leaf
16
8843
min_samples_split
10
8843
min_weight_fraction_leaf
0.42894572623027893
8843
n_estimators
420
8843
n_iter_no_change
944
8843
presort
"auto"
8843
random_state
4006
8843
subsample
0.049440545975615646
8843
tol
1.9112322959357255e-05
8843
validation_fraction
0.8005906432592567
8843
verbose
0
8843
warm_start
false
8843
openml-python
Sklearn_0.20.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
20757182
description
https://api.openml.org/data/download/20757182/description.xml
-1
20757183
predictions
https://api.openml.org/data/download/20757183/predictions.arff
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
kappa
0
kb_relative_information_score
117.6365169907869
mean_absolute_error
0.17999999999999405
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
predictive_accuracy
0.1
prior_entropy
3.321928094887362
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
relative_absolute_error
0.9999999999999362
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.4242640687119215
root_relative_squared_error
1.4142135623730498
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
11.763651699078343
kb_relative_information_score
11.763651699078343
kb_relative_information_score
11.763651699078343
kb_relative_information_score
11.763651699078343
kb_relative_information_score
11.763651699078343
kb_relative_information_score
11.763651699078343
kb_relative_information_score
11.763651699078343
kb_relative_information_score
11.763651699078343
kb_relative_information_score
11.763651699078343
kb_relative_information_score
11.763651699078343
mean_absolute_error
0.17999999999999985
mean_absolute_error
0.17999999999999985
mean_absolute_error
0.17999999999999985
mean_absolute_error
0.17999999999999985
mean_absolute_error
0.17999999999999985
mean_absolute_error
0.17999999999999985
mean_absolute_error
0.17999999999999985
mean_absolute_error
0.17999999999999985
mean_absolute_error
0.17999999999999985
mean_absolute_error
0.17999999999999985
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
mean_prior_absolute_error
0.1799999999999998
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
number_of_instances
200 [20,20,20,20,20,20,20,20,20,20]
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
relative_absolute_error
1.0000000000000002
relative_absolute_error
1.0000000000000002
relative_absolute_error
1.0000000000000002
relative_absolute_error
1.0000000000000002
relative_absolute_error
1.0000000000000002
relative_absolute_error
1.0000000000000002
relative_absolute_error
1.0000000000000002
relative_absolute_error
1.0000000000000002
relative_absolute_error
1.0000000000000002
relative_absolute_error
1.0000000000000002
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_prior_squared_error
0.2999999999999998
root_mean_squared_error
0.42426406871192834
root_mean_squared_error
0.42426406871192834
root_mean_squared_error
0.42426406871192834
root_mean_squared_error
0.42426406871192834
root_mean_squared_error
0.42426406871192834
root_mean_squared_error
0.42426406871192834
root_mean_squared_error
0.42426406871192834
root_mean_squared_error
0.42426406871192834
root_mean_squared_error
0.42426406871192834
root_mean_squared_error
0.42426406871192834
root_relative_squared_error
1.4142135623730951
root_relative_squared_error
1.4142135623730951
root_relative_squared_error
1.4142135623730951
root_relative_squared_error
1.4142135623730951
root_relative_squared_error
1.4142135623730951
root_relative_squared_error
1.4142135623730951
root_relative_squared_error
1.4142135623730951
root_relative_squared_error
1.4142135623730951
root_relative_squared_error
1.4142135623730951
root_relative_squared_error
1.4142135623730951
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
3428.0286459979834
usercpu_time_millis
3416.223379987059
usercpu_time_millis
3415.0087849848205
usercpu_time_millis
3413.17007401085
usercpu_time_millis
3441.598042001715
usercpu_time_millis
3416.854452996631
usercpu_time_millis
3411.286710994318
usercpu_time_millis
3415.673430019524
usercpu_time_millis
3413.830829988001
usercpu_time_millis
3420.550438997452
usercpu_time_millis_testing
7.460121996700764
usercpu_time_millis_testing
6.386376000591554
usercpu_time_millis_testing
6.5861679904628545
usercpu_time_millis_testing
6.371472001774237
usercpu_time_millis_testing
6.759462994523346
usercpu_time_millis_testing
6.461184995714575
usercpu_time_millis_testing
7.001652993494645
usercpu_time_millis_testing
6.467056009569205
usercpu_time_millis_testing
6.807044992456213
usercpu_time_millis_testing
6.47902800119482
usercpu_time_millis_training
3420.5685240012826
usercpu_time_millis_training
3409.8370039864676
usercpu_time_millis_training
3408.4226169943577
usercpu_time_millis_training
3406.7986020090757
usercpu_time_millis_training
3434.8385790071916
usercpu_time_millis_training
3410.3932680009166
usercpu_time_millis_training
3404.2850580008235
usercpu_time_millis_training
3409.2063740099547
usercpu_time_millis_training
3407.0237849955447
usercpu_time_millis_training
3414.0714109962573