9918168
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)
7847543
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
"mae"
8843
init
null
8843
learning_rate
0.4818376290137249
8843
loss
"deviance"
8843
max_depth
7
8843
max_features
0.20718451338670063
8843
max_leaf_nodes
null
8843
min_impurity_decrease
0.777967496007028
8843
min_impurity_split
null
8843
min_samples_leaf
9
8843
min_samples_split
9
8843
min_weight_fraction_leaf
0.23119381145715528
8843
n_estimators
389
8843
n_iter_no_change
147
8843
presort
"auto"
8843
random_state
25879
8843
subsample
0.862930646734852
8843
tol
1.3529138055750119e-05
8843
validation_fraction
0.33900372392917355
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
20756804
description
https://api.openml.org/data/download/20756804/description.xml
-1
20756805
predictions
https://api.openml.org/data/download/20756805/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
17.679170306950017
mean_absolute_error
0.1799999999999996
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
0.999999999999967
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.30005484768737245
root_relative_squared_error
1.0001828256245595
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
1.767917030695008
kb_relative_information_score
1.767917030695008
kb_relative_information_score
1.767917030695008
kb_relative_information_score
1.767917030695008
kb_relative_information_score
1.767917030695008
kb_relative_information_score
1.767917030695008
kb_relative_information_score
1.767917030695008
kb_relative_information_score
1.767917030695008
kb_relative_information_score
1.767917030695008
kb_relative_information_score
1.767917030695008
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 [0,0,1,0,0,0,0,0,0,0]
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
1.0000000000000013
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
0.3000548476873705
root_mean_squared_error
0.3000548476873705
root_mean_squared_error
0.3000548476873705
root_mean_squared_error
0.3000548476873705
root_mean_squared_error
0.3000548476873705
root_mean_squared_error
0.3000548476873705
root_mean_squared_error
0.3000548476873705
root_mean_squared_error
0.3000548476873705
root_mean_squared_error
0.3000548476873705
root_mean_squared_error
0.3000548476873705
root_relative_squared_error
1.000182825624569
root_relative_squared_error
1.000182825624569
root_relative_squared_error
1.000182825624569
root_relative_squared_error
1.000182825624569
root_relative_squared_error
1.000182825624569
root_relative_squared_error
1.000182825624569
root_relative_squared_error
1.000182825624569
root_relative_squared_error
1.000182825624569
root_relative_squared_error
1.000182825624569
root_relative_squared_error
1.000182825624569
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
102454.16963599564
usercpu_time_millis
101727.32655500295
usercpu_time_millis
101944.6473220014
usercpu_time_millis
101812.27910600137
usercpu_time_millis
101651.8112479971
usercpu_time_millis
101555.66827399889
usercpu_time_millis
102067.36859599187
usercpu_time_millis
101560.65089600452
usercpu_time_millis
101973.21962099522
usercpu_time_millis
101567.87089300633
usercpu_time_millis_testing
7.5998999964213
usercpu_time_millis_testing
6.991550006205216
usercpu_time_millis_testing
7.715275001828559
usercpu_time_millis_testing
7.116277003660798
usercpu_time_millis_testing
7.8905389964347705
usercpu_time_millis_testing
7.034864000161178
usercpu_time_millis_testing
7.974688996910118
usercpu_time_millis_testing
6.865964998723939
usercpu_time_millis_testing
7.606792001752183
usercpu_time_millis_testing
6.8118580093141645
usercpu_time_millis_training
102446.56973599922
usercpu_time_millis_training
101720.33500499674
usercpu_time_millis_training
101936.93204699957
usercpu_time_millis_training
101805.16282899771
usercpu_time_millis_training
101643.92070900067
usercpu_time_millis_training
101548.63340999873
usercpu_time_millis_training
102059.39390699496
usercpu_time_millis_training
101553.7849310058
usercpu_time_millis_training
101965.61282899347
usercpu_time_millis_training
101561.05903499702