10218732
1
Jan van Rijn
3
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)
8144164
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": []}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "nominal", "step_name": "nominal", "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]}}]
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
"friedman_mse"
9667
init
null
9667
learning_rate
9.197028025733564e-05
9667
loss
"deviance"
9667
max_depth
31
9667
max_features
0.736702674683126
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.5130036921334424
9667
min_impurity_split
null
9667
min_samples_leaf
19
9667
min_samples_split
8
9667
min_weight_fraction_leaf
0.21209156185425543
9667
n_estimators
160
9667
n_iter_no_change
715
9667
presort
"auto"
9667
random_state
24247
9667
subsample
0.6393400615314238
9667
tol
0.032345853484438886
9667
validation_fraction
0.4488365428990083
9667
verbose
0
9667
warm_start
false
9667
openml-python
Sklearn_0.20.3.
3
kr-vs-kp
https://www.openml.org/data/download/3/dataset_3_kr-vs-kp.arff
-1
21358380
description
https://api.openml.org/data/download/21358380/description.xml
-1
21358381
predictions
https://api.openml.org/data/download/21358381/predictions.arff
area_under_roc_curve
0.19042868471369942 [0.190429,0.190429]
average_cost
0
kappa
0
kb_relative_information_score
-32.111432707055734
mean_absolute_error
0.5025180065662805
mean_prior_absolute_error
0.49901358092237413
number_of_instances
3196 [1669,1527]
predictive_accuracy
0.47778473091364204
prior_entropy
0.9985773203745827
recall
0.47778473091364204 [0,1]
relative_absolute_error
1.0070227059500643
root_mean_prior_squared_error
0.49950623821173523
root_mean_squared_error
0.5026353438416727
root_relative_squared_error
1.006264397500099
total_cost
0
area_under_roc_curve
0.22699698641931826 [0.226997,0.226997]
area_under_roc_curve
0.14185354780634812 [0.141854,0.141854]
area_under_roc_curve
0.17997338656021294 [0.179973,0.179973]
area_under_roc_curve
0.12028883409651284 [0.120289,0.120289]
area_under_roc_curve
0.2047277993033541 [0.204728,0.204728]
area_under_roc_curve
0.16717545301553755 [0.167175,0.167175]
area_under_roc_curve
0.19470037010788252 [0.1947,0.1947]
area_under_roc_curve
0.17314056098329655 [0.173141,0.173141]
area_under_roc_curve
0.14873542388906397 [0.148735,0.148735]
area_under_roc_curve
0.17172234478411597 [0.171722,0.171722]
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
-2.963678029847582
kb_relative_information_score
-3.3156462480571878
kb_relative_information_score
-3.33069111749531
kb_relative_information_score
-3.3744059173076097
kb_relative_information_score
-3.026100017776801
kb_relative_information_score
-3.288598054966245
kb_relative_information_score
-2.791456824383608
kb_relative_information_score
-3.1836644256153073
kb_relative_information_score
-3.4796171297070675
kb_relative_information_score
-3.3575749418989864
mean_absolute_error
0.5022573954634877
mean_absolute_error
0.5026462873491061
mean_absolute_error
0.5026637975778329
mean_absolute_error
0.5027113164473318
mean_absolute_error
0.5023271458213265
mean_absolute_error
0.5026173095882428
mean_absolute_error
0.5021430104276994
mean_absolute_error
0.5024319499593549
mean_absolute_error
0.5027582728683674
mean_absolute_error
0.5026232189912724
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.4990286898061312
mean_prior_absolute_error
0.49909524173611874
mean_prior_absolute_error
0.4989560481570598
mean_prior_absolute_error
0.4989560481570598
mean_prior_absolute_error
0.4989560481570598
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
320 [167,153]
number_of_instances
319 [166,153]
number_of_instances
319 [167,152]
number_of_instances
319 [167,152]
number_of_instances
319 [167,152]
predictive_accuracy
0.478125
predictive_accuracy
0.478125
predictive_accuracy
0.478125
predictive_accuracy
0.478125
predictive_accuracy
0.478125
predictive_accuracy
0.478125
predictive_accuracy
0.47962382445141066
predictive_accuracy
0.4764890282131662
predictive_accuracy
0.4764890282131662
predictive_accuracy
0.4764890282131662
prior_entropy
0.9985773203745827
prior_entropy
0.9985773203745827
prior_entropy
0.9985773203745827
prior_entropy
0.9985773203745827
prior_entropy
0.9985773203745827
prior_entropy
0.9985773203745827
prior_entropy
0.9985773203745827
prior_entropy
0.9985773203745827
prior_entropy
0.9985773203745827
prior_entropy
0.9985773203745827
recall
0.478125 [0,1]
recall
0.478125 [0,1]
recall
0.478125 [0,1]
recall
0.478125 [0,1]
recall
0.478125 [0,1]
recall
0.478125 [0,1]
recall
0.47962382445141066 [0,1]
recall
0.47648902821316613 [0,1]
recall
0.47648902821316613 [0,1]
recall
0.47648902821316613 [0,1]
relative_absolute_error
1.0064699800298273
relative_absolute_error
1.0072492776805684
relative_absolute_error
1.007284366301893
relative_absolute_error
1.0073795890224895
relative_absolute_error
1.006609752269908
relative_absolute_error
1.007191209354127
relative_absolute_error
1.0061065873539063
relative_absolute_error
1.0069663486696547
relative_absolute_error
1.0076203600003475
relative_absolute_error
1.0073496871072265
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995213618016774
root_mean_prior_squared_error
0.4995879730599906
root_mean_prior_squared_error
0.49944864525507615
root_mean_prior_squared_error
0.49944864525507615
root_mean_prior_squared_error
0.49944864525507615
root_mean_squared_error
0.5023851371509817
root_mean_squared_error
0.5027796676357184
root_mean_squared_error
0.502793097366031
root_mean_squared_error
0.5028421644706762
root_mean_squared_error
0.5024502229580137
root_mean_squared_error
0.5027452660128672
root_mean_squared_error
0.5022423681235966
root_mean_squared_error
0.5025367577273754
root_mean_squared_error
0.5028579205246461
root_mean_squared_error
0.5027198445362197
root_relative_squared_error
1.0057330388013341
root_relative_squared_error
1.00652285584402
root_relative_squared_error
1.00654974104121
root_relative_squared_error
1.006647969282077
root_relative_squared_error
1.0058633351450126
root_relative_squared_error
1.0064539866714843
root_relative_squared_error
1.0053131684643002
root_relative_squared_error
1.0061830430448402
root_relative_squared_error
1.00682607771982
root_relative_squared_error
1.0065496208913989
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
494.777134998003
usercpu_time_millis
461.0407159998431
usercpu_time_millis
464.9451229997794
usercpu_time_millis
457.40592700167326
usercpu_time_millis
452.6024500046333
usercpu_time_millis
454.37400599985267
usercpu_time_millis
434.31558100201073
usercpu_time_millis
448.0036840031971
usercpu_time_millis
465.064194995648
usercpu_time_millis
464.4329779985128
usercpu_time_millis_testing
6.105966000177432
usercpu_time_millis_testing
5.561129000852816
usercpu_time_millis_testing
5.710086999897612
usercpu_time_millis_testing
5.566930001805304
usercpu_time_millis_testing
5.769309002062073
usercpu_time_millis_testing
5.724162001570221
usercpu_time_millis_testing
5.749842999648536
usercpu_time_millis_testing
5.8423440023034345
usercpu_time_millis_testing
5.8428489974176046
usercpu_time_millis_testing
5.673864998243516
usercpu_time_millis_training
488.6711689978256
usercpu_time_millis_training
455.47958699899027
usercpu_time_millis_training
459.2350359998818
usercpu_time_millis_training
451.83899699986796
usercpu_time_millis_training
446.8331410025712
usercpu_time_millis_training
448.64984399828245
usercpu_time_millis_training
428.5657380023622
usercpu_time_millis_training
442.1613400008937
usercpu_time_millis_training
459.2213459982304
usercpu_time_millis_training
458.7591130002693