9913565
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)
7842948
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
0.01814696727007846
8843
loss
"deviance"
8843
max_depth
3
8843
max_features
0.1698167254602969
8843
max_leaf_nodes
null
8843
min_impurity_decrease
0.9063446549524844
8843
min_impurity_split
null
8843
min_samples_leaf
11
8843
min_samples_split
16
8843
min_weight_fraction_leaf
0.14175736297781583
8843
n_estimators
107
8843
n_iter_no_change
722
8843
presort
"auto"
8843
random_state
23778
8843
subsample
0.569760335985337
8843
tol
0.0017207995002579116
8843
validation_fraction
0.8355203724313467
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
20747596
description
https://api.openml.org/data/download/20747596/description.xml
-1
20747597
predictions
https://api.openml.org/data/download/20747597/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
38.67287439103008
mean_absolute_error
0.17999999999999847
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 [0,0,0,0,0,1,0,0,0,0]
relative_absolute_error
0.9999999999999608
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.3002848624417635
root_relative_squared_error
1.0009495414725296
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
3.867287439103029
kb_relative_information_score
3.867287439103029
kb_relative_information_score
3.867287439103029
kb_relative_information_score
3.867287439103029
kb_relative_information_score
3.867287439103029
kb_relative_information_score
3.867287439103029
kb_relative_information_score
3.867287439103029
kb_relative_information_score
3.867287439103029
kb_relative_information_score
3.867287439103029
kb_relative_information_score
3.867287439103029
mean_absolute_error
0.18000000000000033
mean_absolute_error
0.18000000000000033
mean_absolute_error
0.18000000000000033
mean_absolute_error
0.18000000000000033
mean_absolute_error
0.18000000000000033
mean_absolute_error
0.18000000000000033
mean_absolute_error
0.18000000000000033
mean_absolute_error
0.18000000000000033
mean_absolute_error
0.18000000000000033
mean_absolute_error
0.18000000000000033
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 [0,0,0,0,0,1,0,0,0,0]
recall
0.1 [0,0,0,0,0,1,0,0,0,0]
recall
0.1 [0,0,0,0,0,1,0,0,0,0]
recall
0.1 [0,0,0,0,0,1,0,0,0,0]
recall
0.1 [0,0,0,0,0,1,0,0,0,0]
recall
0.1 [0,0,0,0,0,1,0,0,0,0]
recall
0.1 [0,0,0,0,0,1,0,0,0,0]
recall
0.1 [0,0,0,0,0,1,0,0,0,0]
recall
0.1 [0,0,0,0,0,1,0,0,0,0]
recall
0.1 [0,0,0,0,0,1,0,0,0,0]
relative_absolute_error
1.0000000000000029
relative_absolute_error
1.0000000000000029
relative_absolute_error
1.0000000000000029
relative_absolute_error
1.0000000000000029
relative_absolute_error
1.0000000000000029
relative_absolute_error
1.0000000000000029
relative_absolute_error
1.0000000000000029
relative_absolute_error
1.0000000000000029
relative_absolute_error
1.0000000000000029
relative_absolute_error
1.0000000000000029
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
0.30028486244176394
root_mean_squared_error
0.30028486244176394
root_mean_squared_error
0.30028486244176394
root_mean_squared_error
0.30028486244176394
root_mean_squared_error
0.30028486244176394
root_mean_squared_error
0.30028486244176394
root_mean_squared_error
0.30028486244176394
root_mean_squared_error
0.30028486244176394
root_mean_squared_error
0.30028486244176394
root_mean_squared_error
0.30028486244176394
root_relative_squared_error
1.000949541472547
root_relative_squared_error
1.000949541472547
root_relative_squared_error
1.000949541472547
root_relative_squared_error
1.000949541472547
root_relative_squared_error
1.000949541472547
root_relative_squared_error
1.000949541472547
root_relative_squared_error
1.000949541472547
root_relative_squared_error
1.000949541472547
root_relative_squared_error
1.000949541472547
root_relative_squared_error
1.000949541472547
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
3768.532111000013
usercpu_time_millis
3783.493774000135
usercpu_time_millis
3763.0191179998747
usercpu_time_millis
3781.088934999957
usercpu_time_millis
3742.569087999982
usercpu_time_millis
3769.0542850000384
usercpu_time_millis
3813.068326000007
usercpu_time_millis
3755.9142519999114
usercpu_time_millis
3747.334613000021
usercpu_time_millis
3741.234750999979
usercpu_time_millis_testing
3.795277999984137
usercpu_time_millis_testing
3.8892460000852225
usercpu_time_millis_testing
4.164512999977887
usercpu_time_millis_testing
3.845758000011301
usercpu_time_millis_testing
4.060686999991958
usercpu_time_millis_testing
3.814016999967862
usercpu_time_millis_testing
3.8721930000065186
usercpu_time_millis_testing
3.691378999974404
usercpu_time_millis_testing
3.856483000049593
usercpu_time_millis_testing
3.704903999960152
usercpu_time_millis_training
3764.736833000029
usercpu_time_millis_training
3779.60452800005
usercpu_time_millis_training
3758.8546049998968
usercpu_time_millis_training
3777.2431769999457
usercpu_time_millis_training
3738.50840099999
usercpu_time_millis_training
3765.2402680000705
usercpu_time_millis_training
3809.1961330000004
usercpu_time_millis_training
3752.222872999937
usercpu_time_millis_training
3743.4781299999713
usercpu_time_millis_training
3737.529847000019