10576333
28997
Marc Boel
16
Supervised Classification
19037
sklearn.pipeline.Pipeline(columntransformer=sklearn.compose._column_transformer.ColumnTransformer(simpleimputer=sklearn.impute._base.SimpleImputer,onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder),gradientboostingclassifier=sklearn.ensemble._gb.GradientBoostingClassifier)(1)
8292615
Python_3.8.10. Sklearn_0.24.2. NumPy_1.17.4. SciPy_1.3.3.
add_indicator
false
18819
copy
true
18819
fill_value
null
18819
missing_values
NaN
18819
strategy
"median"
18819
verbose
0
18819
n_jobs
null
18996
remainder
"drop"
18996
sparse_threshold
0.3
18996
transformer_weights
null
18996
transformers
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cont"}}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder", "argument_1": {"oml-python:serialized_object": "function", "value": "openml.extensions.sklearn.cat"}}}]
18996
verbose
false
18996
categories
"auto"
18997
drop
null
18997
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
18997
handle_unknown
"ignore"
18997
sparse
true
18997
memory
null
19037
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "gradientboostingclassifier", "step_name": "gradientboostingclassifier"}}]
19037
verbose
false
19037
ccp_alpha
0.0
19038
criterion
"friedman_mse"
19038
init
null
19038
learning_rate
0.3383692962048744
19038
loss
"deviance"
19038
max_depth
3
19038
max_features
null
19038
max_leaf_nodes
1347
19038
min_impurity_decrease
0.0
19038
min_impurity_split
null
19038
min_samples_leaf
20
19038
min_samples_split
2
19038
min_weight_fraction_leaf
0.0
19038
n_estimators
100
19038
n_iter_no_change
11
19038
random_state
7609
19038
subsample
1.0
19038
tol
0.0001
19038
validation_fraction
0.011667872361923948
19038
verbose
0
19038
warm_start
false
19038
openml-python
Sklearn_0.24.2.
16
mfeat-karhunen
https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff
-1
22078932
description
https://api.openml.org/data/download/22078932/description.xml
-1
22078934
predictions
https://api.openml.org/data/download/22078934/predictions.arff
area_under_roc_curve
0.9970619444444444 [0.999519,0.998208,0.998619,0.996347,0.997544,0.996297,0.994981,0.999278,0.994267,0.995558]
average_cost
0
f_measure
0.9525331623186143 [0.982544,0.948403,0.979798,0.927318,0.962779,0.925373,0.94898,0.977444,0.922693,0.95]
kappa
0.9472222222222222
kb_relative_information_score
0.950343221141422
mean_absolute_error
0.012016891559990635
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.9525 [0.985,0.965,0.97,0.925,0.97,0.93,0.93,0.975,0.925,0.95]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9527415423095541 [0.9801,0.932367,0.989796,0.929648,0.955665,0.920792,0.96875,0.979899,0.920398,0.95]
predictive_accuracy
0.9525
prior_entropy
3.3219280948872383
relative_absolute_error
0.06676050866661258
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.0864248622772703
root_relative_squared_error
0.28808287425756324
total_cost
0
unweighted_recall
0.9524999999999999 [0.985,0.965,0.97,0.925,0.97,0.93,0.93,0.975,0.925,0.95]
area_under_roc_curve
0.9975833333333334 [0.996667,0.998333,1,0.998333,1,0.995,0.999167,1,0.989444,0.998889]
area_under_roc_curve
0.9986388888888889 [1,0.998611,1,0.9975,1,0.998056,0.996944,0.998056,0.999167,0.998056]
area_under_roc_curve
0.9980833333333333 [1,0.9975,1,0.999444,0.999722,0.996667,0.999444,0.999722,0.990278,0.998056]
area_under_roc_curve
0.9990277777777778 [1,0.999167,1,0.997778,0.996944,0.999444,1,1,0.998889,0.998056]
area_under_roc_curve
0.9960277777777778 [1,0.996944,0.991944,0.985278,0.997778,0.991667,0.999722,1,0.997778,0.999167]
area_under_roc_curve
0.9983055555555557 [1,0.999444,1,1,0.996944,0.997222,0.998611,0.999167,0.998889,0.992778]
area_under_roc_curve
0.9973055555555556 [0.998889,0.998056,0.999444,0.998333,0.999722,0.996389,0.997778,0.998889,0.989444,0.996111]
area_under_roc_curve
0.9988611111111112 [1,0.999167,1,1,1,1,0.995833,1,0.993611,1]
area_under_roc_curve
0.9983055555555557 [0.999444,1,1,0.99,1,0.993889,1,1,0.999722,1]
area_under_roc_curve
0.9936388888888886 [0.999722,0.998889,1,0.997222,1,0.999444,0.950278,0.999444,0.995556,0.995833]
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
f_measure
0.9499494279789529 [0.974359,0.95,1,0.878049,0.97561,0.9,0.974359,1,0.894737,0.952381]
f_measure
0.9649968730456535 [1,0.95,1,0.95,1,0.974359,0.95,0.9,0.97561,0.95]
f_measure
0.9354375978602029 [0.974359,0.918919,1,0.894737,0.95,0.878049,0.95,0.974359,0.883721,0.930233]
f_measure
0.9549107429595233 [1,0.95,0.97561,0.918919,0.904762,0.95,0.952381,1,0.923077,0.974359]
f_measure
0.9447825378313184 [0.97561,0.952381,0.918919,0.904762,0.95,0.923077,0.95,1,0.923077,0.95]
f_measure
0.9597905315491964 [1,0.952381,0.97561,1,0.974359,0.926829,0.918919,0.97561,0.926829,0.947368]
f_measure
0.9450286267872917 [0.974359,0.926829,0.947368,0.926829,0.97561,0.95,0.95,0.97561,0.904762,0.918919]
f_measure
0.9647757901929918 [1,0.952381,0.974359,0.952381,0.952381,0.918919,0.974359,1,0.947368,0.97561]
f_measure
0.9699624295259724 [0.952381,0.97561,1,0.923077,1,0.926829,0.974359,1,0.947368,1]
f_measure
0.9348546176402402 [0.97561,0.952381,1,0.923077,0.947368,0.909091,0.888889,0.947368,0.904762,0.9]
kappa
0.9444444444444444
kappa
0.961111111111111
kappa
0.9277777777777778
kappa
0.95
kappa
0.9388888888888889
kappa
0.9555555555555555
kappa
0.9388888888888889
kappa
0.961111111111111
kappa
0.9666666666666667
kappa
0.9277777777777778
kb_relative_information_score
0.9403925917156254
kb_relative_information_score
0.9553520992909412
kb_relative_information_score
0.9407444116951608
kb_relative_information_score
0.9601695478133199
kb_relative_information_score
0.9424709485910308
kb_relative_information_score
0.9570920522668495
kb_relative_information_score
0.9407529800087764
kb_relative_information_score
0.9693690449534407
kb_relative_information_score
0.9618055740156325
kb_relative_information_score
0.935282961063113
mean_absolute_error
0.015186837846226582
mean_absolute_error
0.010281185803246282
mean_absolute_error
0.014661159278018978
mean_absolute_error
0.009676720990241198
mean_absolute_error
0.013610245673062517
mean_absolute_error
0.009031278957319129
mean_absolute_error
0.013682792870783047
mean_absolute_error
0.007668085573287451
mean_absolute_error
0.01145802682341404
mean_absolute_error
0.014912581784307351
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]
precision
0.9513059163059164 [1,0.95,1,0.857143,0.952381,0.9,1,1,0.944444,0.909091]
precision
0.9652380952380952 [1,0.95,1,0.95,1,1,0.95,0.9,0.952381,0.95]
precision
0.9397239475500345 [1,1,1,0.944444,0.95,0.857143,0.95,1,0.826087,0.869565]
precision
0.9572476646160857 [1,0.95,0.952381,1,0.863636,0.95,0.909091,1,0.947368,1]
precision
0.9469845067213488 [0.952381,0.909091,1,0.863636,0.95,0.947368,0.95,1,0.947368,0.95]
precision
0.9623376623376623 [1,0.909091,0.952381,1,1,0.904762,1,0.952381,0.904762,1]
precision
0.9477922077922077 [1,0.904762,1,0.904762,0.952381,0.95,0.95,0.952381,0.863636,1]
precision
0.9679653679653678 [1,0.909091,1,0.909091,0.909091,1,1,1,1,0.952381]
precision
0.9713602187286398 [0.909091,0.952381,1,0.947368,1,0.904762,1,1,1,1]
precision
0.940580997949419 [0.952381,0.909091,1,0.947368,1,0.833333,1,1,0.863636,0.9]
predictive_accuracy
0.95
predictive_accuracy
0.965
predictive_accuracy
0.935
predictive_accuracy
0.955
predictive_accuracy
0.945
predictive_accuracy
0.96
predictive_accuracy
0.945
predictive_accuracy
0.965
predictive_accuracy
0.97
predictive_accuracy
0.935
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
relative_absolute_error
0.08437132136792554
relative_absolute_error
0.05711769890692385
relative_absolute_error
0.0814508848778833
relative_absolute_error
0.053759561056895604
relative_absolute_error
0.07561247596145852
relative_absolute_error
0.05017377198510633
relative_absolute_error
0.07601551594879478
relative_absolute_error
0.04260047540715255
relative_absolute_error
0.06365570457452252
relative_absolute_error
0.08284767657948537
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
0.09121762261304371
root_mean_squared_error
0.0818645711835443
root_mean_squared_error
0.09439866630741013
root_mean_squared_error
0.07681001324112564
root_mean_squared_error
0.09484024887093563
root_mean_squared_error
0.08434439514655234
root_mean_squared_error
0.09605846552969229
root_mean_squared_error
0.07063359953913964
root_mean_squared_error
0.06923404297311131
root_mean_squared_error
0.09869590914913588
root_relative_squared_error
0.3040587420434792
root_relative_squared_error
0.27288190394514783
root_relative_squared_error
0.31466222102470065
root_relative_squared_error
0.256033377470419
root_relative_squared_error
0.31613416290311896
root_relative_squared_error
0.28114798382184136
root_relative_squared_error
0.3201948850989745
root_relative_squared_error
0.23544533179713226
root_relative_squared_error
0.2307801432437045
root_relative_squared_error
0.32898636383045315
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
unweighted_recall
0.95 [0.95,0.95,1,0.9,1,0.9,0.95,1,0.85,1]
unweighted_recall
0.9650000000000001 [1,0.95,1,0.95,1,0.95,0.95,0.9,1,0.95]
unweighted_recall
0.9349999999999999 [0.95,0.85,1,0.85,0.95,0.9,0.95,0.95,0.95,1]
unweighted_recall
0.9549999999999998 [1,0.95,1,0.85,0.95,0.95,1,1,0.9,0.95]
unweighted_recall
0.945 [1,1,0.85,0.95,0.95,0.9,0.95,1,0.9,0.95]
unweighted_recall
0.96 [1,1,1,1,0.95,0.95,0.85,1,0.95,0.9]
unweighted_recall
0.945 [0.95,0.95,0.9,0.95,1,0.95,0.95,1,0.95,0.85]
unweighted_recall
0.9650000000000001 [1,1,0.95,1,1,0.85,0.95,1,0.9,1]
unweighted_recall
0.9700000000000001 [1,1,1,0.9,1,0.95,0.95,1,0.9,1]
unweighted_recall
0.9349999999999999 [1,1,1,0.9,0.9,1,0.8,0.9,0.95,0.9]
usercpu_time_millis
11329.01253899945
usercpu_time_millis
13630.91385899952
usercpu_time_millis
11958.765351000693
usercpu_time_millis
16441.17430499955
usercpu_time_millis
15424.602097000388
usercpu_time_millis
23414.865986999757
usercpu_time_millis
12762.615455000741
usercpu_time_millis
19210.59563400013
usercpu_time_millis
7138.68339200053
usercpu_time_millis
7643.838595000489
usercpu_time_millis_testing
3.485700000055658
usercpu_time_millis_testing
3.9522009992651874
usercpu_time_millis_testing
3.98970000060217
usercpu_time_millis_testing
3.137099000014132
usercpu_time_millis_testing
4.046500000185915
usercpu_time_millis_testing
4.16570099969249
usercpu_time_millis_testing
3.0440000000453438
usercpu_time_millis_testing
3.4471000008124975
usercpu_time_millis_testing
3.714100000252074
usercpu_time_millis_testing
2.933800000391784
usercpu_time_millis_training
11325.526838999394
usercpu_time_millis_training
13626.961658000255
usercpu_time_millis_training
11954.77565100009
usercpu_time_millis_training
16438.037205999535
usercpu_time_millis_training
15420.555597000202
usercpu_time_millis_training
23410.700286000065
usercpu_time_millis_training
12759.571455000696
usercpu_time_millis_training
19207.148533999316
usercpu_time_millis_training
7134.969292000278
usercpu_time_millis_training
7640.904795000097
wall_clock_time_millis
11345.556735992432
wall_clock_time_millis
14045.063734054565
wall_clock_time_millis
11972.501277923584
wall_clock_time_millis
16454.926013946533
wall_clock_time_millis
16166.660070419312
wall_clock_time_millis
23458.754062652588
wall_clock_time_millis
12770.262002944946
wall_clock_time_millis
19229.830026626587
wall_clock_time_millis
7164.406538009644
wall_clock_time_millis
7677.438974380493
wall_clock_time_millis_testing
3.490447998046875
wall_clock_time_millis_testing
3.954648971557617
wall_clock_time_millis_testing
3.9942264556884766
wall_clock_time_millis_testing
3.1397342681884766
wall_clock_time_millis_testing
4.058837890625
wall_clock_time_millis_testing
4.168510437011719
wall_clock_time_millis_testing
3.047466278076172
wall_clock_time_millis_testing
3.449678421020508
wall_clock_time_millis_testing
3.718137741088867
wall_clock_time_millis_testing
2.9363632202148438
wall_clock_time_millis_training
11342.066287994385
wall_clock_time_millis_training
14041.109085083008
wall_clock_time_millis_training
11968.507051467896
wall_clock_time_millis_training
16451.786279678345
wall_clock_time_millis_training
16162.601232528687
wall_clock_time_millis_training
23454.585552215576
wall_clock_time_millis_training
12767.21453666687
wall_clock_time_millis_training
19226.380348205566
wall_clock_time_millis_training
7160.688400268555
wall_clock_time_millis_training
7674.502611160278
weighted_recall
0.95 [0.95,0.95,1,0.9,1,0.9,0.95,1,0.85,1]
weighted_recall
0.965 [1,0.95,1,0.95,1,0.95,0.95,0.9,1,0.95]
weighted_recall
0.935 [0.95,0.85,1,0.85,0.95,0.9,0.95,0.95,0.95,1]
weighted_recall
0.955 [1,0.95,1,0.85,0.95,0.95,1,1,0.9,0.95]
weighted_recall
0.945 [1,1,0.85,0.95,0.95,0.9,0.95,1,0.9,0.95]
weighted_recall
0.96 [1,1,1,1,0.95,0.95,0.85,1,0.95,0.9]
weighted_recall
0.945 [0.95,0.95,0.9,0.95,1,0.95,0.95,1,0.95,0.85]
weighted_recall
0.965 [1,1,0.95,1,1,0.85,0.95,1,0.9,1]
weighted_recall
0.97 [1,1,1,0.9,1,0.95,0.95,1,0.9,1]
weighted_recall
0.935 [1,1,1,0.9,0.9,1,0.8,0.9,0.95,0.9]