10227031
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)
8152463
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
1.3957097892186628e-05
9667
loss
"deviance"
9667
max_depth
10
9667
max_features
0.06799113392356682
9667
max_leaf_nodes
null
9667
min_impurity_decrease
0.30561686177205194
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min_impurity_split
null
9667
min_samples_leaf
2
9667
min_samples_split
15
9667
min_weight_fraction_leaf
0.2781796659794181
9667
n_estimators
93
9667
n_iter_no_change
214
9667
presort
"auto"
9667
random_state
35895
9667
subsample
0.04844691599273021
9667
tol
0.014060818708138786
9667
validation_fraction
0.5471121357044261
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
21374978
description
https://api.openml.org/data/download/21374978/description.xml
-1
21374979
predictions
https://api.openml.org/data/download/21374979/predictions.arff
area_under_roc_curve
0.34147929637211244 [0.341479,0.341479]
average_cost
0
kappa
0
kb_relative_information_score
-17.304008807849293
mean_absolute_error
0.5008819926027126
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
1.0037442100811864
root_mean_prior_squared_error
0.49950623821173523
root_mean_squared_error
0.5012562275287127
root_relative_squared_error
1.0035034383619361
total_cost
0
area_under_roc_curve
0.21721263355641657 [0.217213,0.217213]
area_under_roc_curve
0.14580642636296032 [0.145806,0.145806]
area_under_roc_curve
0.15214668701812062 [0.152147,0.152147]
area_under_roc_curve
0.1306798168369144 [0.13068,0.13068]
area_under_roc_curve
0.17889710774529372 [0.178897,0.178897]
area_under_roc_curve
0.11467261555320732 [0.114673,0.114673]
area_under_roc_curve
0.14024726356406017 [0.140247,0.140247]
area_under_roc_curve
0.16449338165773716 [0.164493,0.164493]
area_under_roc_curve
0.1506854711629373 [0.150685,0.150685]
area_under_roc_curve
0.16837377875827292 [0.168374,0.168374]
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
-1.6389487274724837
kb_relative_information_score
-1.6405343190197061
kb_relative_information_score
-1.6407335597934338
kb_relative_information_score
-1.6451298225763367
kb_relative_information_score
-1.6421738130489376
kb_relative_information_score
-1.6459195541237375
kb_relative_information_score
-1.6931669799982794
kb_relative_information_score
-1.9196601760210632
kb_relative_information_score
-1.9213745820139363
kb_relative_information_score
-1.9163672737813464
mean_absolute_error
0.500793018626105
mean_absolute_error
0.5007947940877162
mean_absolute_error
0.5007950171183913
mean_absolute_error
0.5007999399952966
mean_absolute_error
0.5007966300886656
mean_absolute_error
0.5008008242242711
mean_absolute_error
0.5009321210846516
mean_absolute_error
0.5010369905517205
mean_absolute_error
0.5010389302679468
mean_absolute_error
0.501033264156262
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
1.0035355258244958
relative_absolute_error
1.0035390836592404
relative_absolute_error
1.003539530588805
relative_absolute_error
1.0035493955064059
relative_absolute_error
1.003542762808329
relative_absolute_error
1.003551167406484
relative_absolute_error
1.0036804184751256
relative_absolute_error
1.0041705925849518
relative_absolute_error
1.004174480134233
relative_absolute_error
1.004163124200768
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
0.5011043010712395
root_mean_squared_error
0.5011061364574527
root_mean_squared_error
0.5011062994869424
root_mean_squared_error
0.5011113025369278
root_mean_squared_error
0.5011079224507116
root_mean_squared_error
0.501112147770654
root_mean_squared_error
0.5014263294119319
root_mean_squared_error
0.5014975926281073
root_mean_squared_error
0.5014991783283053
root_mean_squared_error
0.5014935188370017
root_relative_squared_error
1.003168912063846
root_relative_squared_error
1.0031725863535832
root_relative_squared_error
1.0031729127249902
root_relative_squared_error
1.0031829284127425
root_relative_squared_error
1.0031761617627557
root_relative_squared_error
1.0031846204999904
root_relative_squared_error
1.0036797450120372
root_relative_squared_error
1.0041024185218979
root_relative_squared_error
1.0041055934232874
root_relative_squared_error
1.004094261945352
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
110.75578500458505
usercpu_time_millis
111.56379900785396
usercpu_time_millis
107.40546000306495
usercpu_time_millis
101.76068800501525
usercpu_time_millis
102.59512800257653
usercpu_time_millis
102.15341499861097
usercpu_time_millis
100.75115300423931
usercpu_time_millis
101.73260699957609
usercpu_time_millis
100.76527999626705
usercpu_time_millis
100.0338800076861
usercpu_time_millis_testing
5.563842001720332
usercpu_time_millis_testing
5.510491006134544
usercpu_time_millis_testing
5.143172005773522
usercpu_time_millis_testing
5.159391002962366
usercpu_time_millis_testing
5.071925996162463
usercpu_time_millis_testing
4.953962998115458
usercpu_time_millis_testing
5.117193999467418
usercpu_time_millis_testing
5.107755998324137
usercpu_time_millis_testing
5.041908996645361
usercpu_time_millis_testing
5.110648002300877
usercpu_time_millis_training
105.19194300286472
usercpu_time_millis_training
106.05330800171942
usercpu_time_millis_training
102.26228799729142
usercpu_time_millis_training
96.60129700205289
usercpu_time_millis_training
97.52320200641407
usercpu_time_millis_training
97.19945200049551
usercpu_time_millis_training
95.6339590047719
usercpu_time_millis_training
96.62485100125195
usercpu_time_millis_training
95.7233709996217
usercpu_time_millis_training
94.92323200538522