9909109
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)
7838502
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
"mae"
8843
init
null
8843
learning_rate
1.0772853877802442
8843
loss
"deviance"
8843
max_depth
7
8843
max_features
0.299089483801543
8843
max_leaf_nodes
null
8843
min_impurity_decrease
0.3713819047922431
8843
min_impurity_split
null
8843
min_samples_leaf
7
8843
min_samples_split
3
8843
min_weight_fraction_leaf
0.39272313808387016
8843
n_estimators
286
8843
n_iter_no_change
771
8843
presort
"auto"
8843
random_state
45516
8843
subsample
0.35980854902717785
8843
tol
1.6742022791586598e-05
8843
validation_fraction
0.21644258979433084
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
20738674
description
https://api.openml.org/data/download/20738674/description.xml
-1
20738675
predictions
https://api.openml.org/data/download/20738675/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
35.721079593453304
mean_absolute_error
0.17999999999999858
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 [0,0,0,0,1,0,0,0,0,0]
relative_absolute_error
0.9999999999999614
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.30028448091210447
root_relative_squared_error
1.0009482697069996
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
3.5721079593452627
kb_relative_information_score
3.5721079593452627
kb_relative_information_score
3.5721079593452627
kb_relative_information_score
3.5721079593452627
kb_relative_information_score
3.5721079593452627
kb_relative_information_score
3.5721079593452627
kb_relative_information_score
3.5721079593452627
kb_relative_information_score
3.5721079593452627
kb_relative_information_score
3.5721079593452627
kb_relative_information_score
3.5721079593452627
mean_absolute_error
0.1799999999999996
mean_absolute_error
0.1799999999999996
mean_absolute_error
0.1799999999999996
mean_absolute_error
0.1799999999999996
mean_absolute_error
0.1799999999999996
mean_absolute_error
0.1799999999999996
mean_absolute_error
0.1799999999999996
mean_absolute_error
0.1799999999999996
mean_absolute_error
0.1799999999999996
mean_absolute_error
0.1799999999999996
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 [0,0,0,0,1,0,0,0,0,0]
recall
0.1 [0,0,0,0,1,0,0,0,0,0]
recall
0.1 [0,0,0,0,1,0,0,0,0,0]
recall
0.1 [0,0,0,0,1,0,0,0,0,0]
recall
0.1 [0,0,0,0,1,0,0,0,0,0]
recall
0.1 [0,0,0,0,1,0,0,0,0,0]
recall
0.1 [0,0,0,0,1,0,0,0,0,0]
recall
0.1 [0,0,0,0,1,0,0,0,0,0]
recall
0.1 [0,0,0,0,1,0,0,0,0,0]
recall
0.1 [0,0,0,0,1,0,0,0,0,0]
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
relative_absolute_error
0.999999999999999
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
0.30028448091210447
root_mean_squared_error
0.30028448091210447
root_mean_squared_error
0.30028448091210447
root_mean_squared_error
0.30028448091210447
root_mean_squared_error
0.30028448091210447
root_mean_squared_error
0.30028448091210447
root_mean_squared_error
0.30028448091210447
root_mean_squared_error
0.30028448091210447
root_mean_squared_error
0.30028448091210447
root_mean_squared_error
0.30028448091210447
root_relative_squared_error
1.0009482697070156
root_relative_squared_error
1.0009482697070156
root_relative_squared_error
1.0009482697070156
root_relative_squared_error
1.0009482697070156
root_relative_squared_error
1.0009482697070156
root_relative_squared_error
1.0009482697070156
root_relative_squared_error
1.0009482697070156
root_relative_squared_error
1.0009482697070156
root_relative_squared_error
1.0009482697070156
root_relative_squared_error
1.0009482697070156
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
23242.72634800218
usercpu_time_millis
23065.748663000704
usercpu_time_millis
22988.40120800014
usercpu_time_millis
23040.251680999063
usercpu_time_millis
23089.204595999036
usercpu_time_millis
23151.861929000006
usercpu_time_millis
23088.109202999476
usercpu_time_millis
23143.13425200089
usercpu_time_millis
23127.178417998948
usercpu_time_millis
23211.61463200042
usercpu_time_millis_testing
6.486406000476563
usercpu_time_millis_testing
5.28470099925471
usercpu_time_millis_testing
5.540670999835129
usercpu_time_millis_testing
5.8080710005015135
usercpu_time_millis_testing
5.583772999671055
usercpu_time_millis_testing
5.3238229993439745
usercpu_time_millis_testing
6.5485790000821
usercpu_time_millis_testing
5.328465000275173
usercpu_time_millis_testing
6.309354999757488
usercpu_time_millis_testing
5.349787001250661
usercpu_time_millis_training
23236.239942001703
usercpu_time_millis_training
23060.46396200145
usercpu_time_millis_training
22982.860537000306
usercpu_time_millis_training
23034.44360999856
usercpu_time_millis_training
23083.620822999364
usercpu_time_millis_training
23146.538106000662
usercpu_time_millis_training
23081.560623999394
usercpu_time_millis_training
23137.805787000616
usercpu_time_millis_training
23120.86906299919
usercpu_time_millis_training
23206.26484499917