10161464
1
Jan van Rijn
14
Supervised Classification
9666
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)(4)
8086926
copy
true
9559
fill_value
-1
9559
missing_values
NaN
9559
strategy
"constant"
9559
verbose
0
9559
n_jobs
null
9606
remainder
"passthrough"
9606
sparse_threshold
0.3
9606
transformer_weights
null
9606
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "numeric", "step_name": "numeric", "argument_1": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "argument_1": []}}]
9606
memory
null
9607
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}]
9607
axis
0
9608
copy
true
9608
missing_values
"NaN"
9608
strategy
"mean"
9608
verbose
0
9608
copy
true
9609
with_mean
true
9609
with_std
true
9609
memory
null
9610
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}]
9610
categorical_features
null
9611
categories
null
9611
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
9611
handle_unknown
"ignore"
9611
n_values
null
9611
sparse
true
9611
threshold
0.0
9612
memory
null
9666
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "variancethreshold", "step_name": "variancethreshold"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
9666
criterion
"mae"
9667
init
null
9667
learning_rate
0.0008604551623133916
9667
loss
"deviance"
9667
max_depth
4
9667
max_features
0.5000434651693264
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.2466630918229984
9667
min_impurity_split
null
9667
min_samples_leaf
3
9667
min_samples_split
10
9667
min_weight_fraction_leaf
0.09826291422149164
9667
n_estimators
1150
9667
n_iter_no_change
603
9667
presort
"auto"
9667
random_state
31704
9667
subsample
0.4800657445121115
9667
tol
0.010910428330553675
9667
validation_fraction
0.8255185541008461
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21243844
description
https://api.openml.org/data/download/21243844/description.xml
-1
21243845
predictions
https://api.openml.org/data/download/21243845/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
16.309744642184356
mean_absolute_error
0.18000000000000138
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
0.9999999999999768
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.3000595117833735
root_relative_squared_error
1.0001983726112296
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
1.6309744642184696
kb_relative_information_score
1.6309744642184696
kb_relative_information_score
1.6309744642184696
kb_relative_information_score
1.6309744642184696
kb_relative_information_score
1.6309744642184696
kb_relative_information_score
1.6309744642184696
kb_relative_information_score
1.6309744642184696
kb_relative_information_score
1.6309744642184696
kb_relative_information_score
1.6309744642184696
kb_relative_information_score
1.6309744642184696
mean_absolute_error
0.18000000000000008
mean_absolute_error
0.18000000000000008
mean_absolute_error
0.18000000000000008
mean_absolute_error
0.18000000000000008
mean_absolute_error
0.18000000000000008
mean_absolute_error
0.18000000000000008
mean_absolute_error
0.18000000000000008
mean_absolute_error
0.18000000000000008
mean_absolute_error
0.18000000000000008
mean_absolute_error
0.18000000000000008
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
1.0000000000000016
relative_absolute_error
1.0000000000000016
relative_absolute_error
1.0000000000000016
relative_absolute_error
1.0000000000000016
relative_absolute_error
1.0000000000000016
relative_absolute_error
1.0000000000000016
relative_absolute_error
1.0000000000000016
relative_absolute_error
1.0000000000000016
relative_absolute_error
1.0000000000000016
relative_absolute_error
1.0000000000000016
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
0.30005951178337475
root_mean_squared_error
0.30005951178337475
root_mean_squared_error
0.30005951178337475
root_mean_squared_error
0.30005951178337475
root_mean_squared_error
0.30005951178337475
root_mean_squared_error
0.30005951178337475
root_mean_squared_error
0.30005951178337475
root_mean_squared_error
0.30005951178337475
root_mean_squared_error
0.30005951178337475
root_mean_squared_error
0.30005951178337475
root_relative_squared_error
1.0001983726112498
root_relative_squared_error
1.0001983726112498
root_relative_squared_error
1.0001983726112498
root_relative_squared_error
1.0001983726112498
root_relative_squared_error
1.0001983726112498
root_relative_squared_error
1.0001983726112498
root_relative_squared_error
1.0001983726112498
root_relative_squared_error
1.0001983726112498
root_relative_squared_error
1.0001983726112498
root_relative_squared_error
1.0001983726112498
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
20966.260449999936
usercpu_time_millis
20821.416252000003
usercpu_time_millis
20587.092024999947
usercpu_time_millis
20629.71611199987
usercpu_time_millis
20590.339727000013
usercpu_time_millis
20629.590136999923
usercpu_time_millis
20634.263650000095
usercpu_time_millis
20603.284618999962
usercpu_time_millis
20712.958920999998
usercpu_time_millis
20683.018672000002
usercpu_time_millis_testing
4.927802999986852
usercpu_time_millis_testing
4.738331999988077
usercpu_time_millis_testing
6.220440999982202
usercpu_time_millis_testing
4.719677999901251
usercpu_time_millis_testing
4.992055000002438
usercpu_time_millis_testing
5.431683999972847
usercpu_time_millis_testing
4.982796000035705
usercpu_time_millis_testing
6.309911000016655
usercpu_time_millis_testing
4.995254000050409
usercpu_time_millis_testing
4.807402000096772
usercpu_time_millis_training
20961.33264699995
usercpu_time_millis_training
20816.677920000016
usercpu_time_millis_training
20580.871583999964
usercpu_time_millis_training
20624.996433999968
usercpu_time_millis_training
20585.34767200001
usercpu_time_millis_training
20624.15845299995
usercpu_time_millis_training
20629.28085400006
usercpu_time_millis_training
20596.974707999947
usercpu_time_millis_training
20707.963666999945
usercpu_time_millis_training
20678.211269999905