9913447
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)
7842830
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
"most_frequent"
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
"mse"
8843
init
null
8843
learning_rate
0.1033657852803921
8843
loss
"deviance"
8843
max_depth
3
8843
max_features
0.6664214849008341
8843
max_leaf_nodes
null
8843
min_impurity_decrease
0.2161249777694464
8843
min_impurity_split
null
8843
min_samples_leaf
9
8843
min_samples_split
19
8843
min_weight_fraction_leaf
0.16359936259352265
8843
n_estimators
319
8843
n_iter_no_change
461
8843
presort
"auto"
8843
random_state
42556
8843
subsample
0.15937595006637906
8843
tol
3.770366035811245e-05
8843
validation_fraction
0.7712488970992453
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
20747360
description
https://api.openml.org/data/download/20747360/description.xml
-1
20747361
predictions
https://api.openml.org/data/download/20747361/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
26.616821454360164
mean_absolute_error
0.1799999999999991
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 [0,0,0,0,0,0,0,0,0,1]
relative_absolute_error
0.9999999999999644
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.30010916361663437
root_relative_squared_error
1.0003638787220992
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
2.661682145435998
kb_relative_information_score
2.661682145435998
kb_relative_information_score
2.661682145435998
kb_relative_information_score
2.661682145435998
kb_relative_information_score
2.661682145435998
kb_relative_information_score
2.661682145435998
kb_relative_information_score
2.661682145435998
kb_relative_information_score
2.661682145435998
kb_relative_information_score
2.661682145435998
kb_relative_information_score
2.661682145435998
mean_absolute_error
0.18000000000000005
mean_absolute_error
0.18000000000000005
mean_absolute_error
0.18000000000000005
mean_absolute_error
0.18000000000000005
mean_absolute_error
0.18000000000000005
mean_absolute_error
0.18000000000000005
mean_absolute_error
0.18000000000000005
mean_absolute_error
0.18000000000000005
mean_absolute_error
0.18000000000000005
mean_absolute_error
0.18000000000000005
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 [0,0,0,0,0,0,0,0,0,1]
recall
0.1 [0,0,0,0,0,0,0,0,0,1]
recall
0.1 [0,0,0,0,0,0,0,0,0,1]
recall
0.1 [0,0,0,0,0,0,0,0,0,1]
recall
0.1 [0,0,0,0,0,0,0,0,0,1]
recall
0.1 [0,0,0,0,0,0,0,0,0,1]
recall
0.1 [0,0,0,0,0,0,0,0,0,1]
recall
0.1 [0,0,0,0,0,0,0,0,0,1]
recall
0.1 [0,0,0,0,0,0,0,0,0,1]
recall
0.1 [0,0,0,0,0,0,0,0,0,1]
relative_absolute_error
1.0000000000000013
relative_absolute_error
1.0000000000000013
relative_absolute_error
1.0000000000000013
relative_absolute_error
1.0000000000000013
relative_absolute_error
1.0000000000000013
relative_absolute_error
1.0000000000000013
relative_absolute_error
1.0000000000000013
relative_absolute_error
1.0000000000000013
relative_absolute_error
1.0000000000000013
relative_absolute_error
1.0000000000000013
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
0.30010916361663276
root_mean_squared_error
0.30010916361663276
root_mean_squared_error
0.30010916361663276
root_mean_squared_error
0.30010916361663276
root_mean_squared_error
0.30010916361663276
root_mean_squared_error
0.30010916361663276
root_mean_squared_error
0.30010916361663276
root_mean_squared_error
0.30010916361663276
root_mean_squared_error
0.30010916361663276
root_mean_squared_error
0.30010916361663276
root_relative_squared_error
1.0003638787221099
root_relative_squared_error
1.0003638787221099
root_relative_squared_error
1.0003638787221099
root_relative_squared_error
1.0003638787221099
root_relative_squared_error
1.0003638787221099
root_relative_squared_error
1.0003638787221099
root_relative_squared_error
1.0003638787221099
root_relative_squared_error
1.0003638787221099
root_relative_squared_error
1.0003638787221099
root_relative_squared_error
1.0003638787221099
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
5535.554522000098
usercpu_time_millis
5548.316411999963
usercpu_time_millis
5572.7939040000365
usercpu_time_millis
5552.275958999871
usercpu_time_millis
5550.312414000018
usercpu_time_millis
5554.2001580000715
usercpu_time_millis
5517.879068999946
usercpu_time_millis
5520.456336999928
usercpu_time_millis
5572.620536000045
usercpu_time_millis
5588.2091430000855
usercpu_time_millis_testing
6.391956000015853
usercpu_time_millis_testing
5.978371999958654
usercpu_time_millis_testing
6.490829999961534
usercpu_time_millis_testing
5.994443999952637
usercpu_time_millis_testing
6.68284699997912
usercpu_time_millis_testing
6.321025000033842
usercpu_time_millis_testing
7.377505000022211
usercpu_time_millis_testing
6.141492999972797
usercpu_time_millis_testing
6.474069999967469
usercpu_time_millis_testing
6.106904000034774
usercpu_time_millis_training
5529.162566000082
usercpu_time_millis_training
5542.338040000004
usercpu_time_millis_training
5566.303074000075
usercpu_time_millis_training
5546.281514999919
usercpu_time_millis_training
5543.629567000039
usercpu_time_millis_training
5547.879133000038
usercpu_time_millis_training
5510.501563999924
usercpu_time_millis_training
5514.314843999955
usercpu_time_millis_training
5566.146466000077
usercpu_time_millis_training
5582.102239000051