10576158
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)
8292440
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
"most_frequent"
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
0.5036762232501258
19038
loss
"deviance"
19038
max_depth
3
19038
max_features
null
19038
max_leaf_nodes
723
19038
min_impurity_decrease
0.0
19038
min_impurity_split
null
19038
min_samples_leaf
45
19038
min_samples_split
2
19038
min_weight_fraction_leaf
0.0
19038
n_estimators
100
19038
n_iter_no_change
16
19038
random_state
44780
19038
subsample
1.0
19038
tol
0.0001
19038
validation_fraction
0.10086727925785806
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
22078583
description
https://api.openml.org/data/download/22078583/description.xml
-1
22078584
predictions
https://api.openml.org/data/download/22078584/predictions.arff
area_under_roc_curve
0.9969216666666667 [0.999636,0.997553,0.999597,0.995428,0.997228,0.993364,0.995242,0.998356,0.995814,0.997]
average_cost
0
f_measure
0.9505628095993122 [0.982456,0.934307,0.97733,0.94321,0.955,0.927681,0.957179,0.959596,0.928571,0.940299]
kappa
0.9450000000000001
kb_relative_information_score
0.9515146330466048
mean_absolute_error
0.011297358854965913
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.9505 [0.98,0.96,0.97,0.955,0.955,0.93,0.95,0.95,0.91,0.945]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9509144245957524 [0.984925,0.909953,0.984772,0.931707,0.955,0.925373,0.964467,0.969388,0.947917,0.935644]
predictive_accuracy
0.9505
prior_entropy
3.3219280948872383
relative_absolute_error
0.06276310474980869
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.0863025474594438
root_relative_squared_error
0.2876751581981416
total_cost
0
unweighted_recall
0.9505000000000001 [0.98,0.96,0.97,0.955,0.955,0.93,0.95,0.95,0.91,0.945]
area_under_roc_curve
0.9976388888888889 [0.998333,0.998333,1,1,1,0.995,1,1,0.985,0.999722]
area_under_roc_curve
0.9985277777777779 [1,0.997778,1,0.998056,1,0.997222,0.9975,0.998889,0.999444,0.996389]
area_under_roc_curve
0.9991666666666665 [1,0.998333,1,0.999722,1,0.998611,1,0.997778,0.999722,0.9975]
area_under_roc_curve
0.9981944444444446 [1,0.998889,1,0.9975,0.995,0.995833,1,0.998889,0.998056,0.997778]
area_under_roc_curve
0.9935555555555555 [1,0.995833,0.996111,0.977778,0.991389,0.976389,1,1,0.998333,0.999722]
area_under_roc_curve
0.9971388888888889 [1,0.996667,0.999722,1,0.990278,0.992778,0.997222,0.999444,0.996667,0.998611]
area_under_roc_curve
0.9961388888888889 [1,0.991667,0.999722,1,0.999722,0.998333,1,0.997222,0.995,0.979722]
area_under_roc_curve
0.9986666666666666 [1,0.998333,1,1,0.998889,0.999167,0.996389,0.999722,0.994167,1]
area_under_roc_curve
0.9968333333333332 [0.999722,1,1,0.986944,1,0.981667,1,1,1,1]
area_under_roc_curve
0.9966666666666666 [1,1,1,0.998611,0.997222,1,0.980556,0.995,0.997778,0.9975]
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
0.9600655719975358 [0.974359,0.926829,1,1,0.95,0.904762,0.974359,1,0.894737,0.97561]
f_measure
0.9499373668693307 [1,0.926829,1,0.9,1,0.894737,0.974359,0.923077,0.97561,0.904762]
f_measure
0.9700615363182159 [1,0.947368,1,0.97561,0.97561,0.923077,1,0.974359,0.974359,0.930233]
f_measure
0.9398118419877083 [1,0.95,0.97561,0.894737,0.926829,0.878049,0.952381,0.923077,0.974359,0.923077]
f_measure
0.9297531099777568 [0.97561,0.888889,0.918919,0.878049,0.894737,0.926829,0.97561,1,0.888889,0.95]
f_measure
0.9445840680500501 [0.97561,0.952381,0.95,1,0.923077,0.9,0.871795,0.97561,0.95,0.947368]
f_measure
0.9307083780575437 [0.947368,0.878049,0.974359,0.909091,0.974359,0.95,0.974359,0.9,0.904762,0.894737]
f_measure
0.954401254645157 [1,0.926829,0.974359,0.97561,0.952381,0.974359,0.95,0.95,0.864865,0.97561]
f_measure
0.9748587933247754 [0.95,1,0.97561,0.95,0.97561,0.95,1,1,0.947368,1]
f_measure
0.9499216850757288 [1,0.952381,1,0.95,0.974359,0.97561,0.894737,0.947368,0.904762,0.9]
kappa
0.9555555555555555
kappa
0.9444444444444444
kappa
0.9666666666666667
kappa
0.9333333333333332
kappa
0.9222222222222223
kappa
0.9388888888888889
kappa
0.9222222222222223
kappa
0.95
kappa
0.9722222222222222
kappa
0.9444444444444444
kb_relative_information_score
0.9602343167268892
kb_relative_information_score
0.9515923212123678
kb_relative_information_score
0.9644899840945652
kb_relative_information_score
0.9450711411569899
kb_relative_information_score
0.9333223359711763
kb_relative_information_score
0.942858983411669
kb_relative_information_score
0.9354277749397901
kb_relative_information_score
0.9537816016343171
kb_relative_information_score
0.9767843184840136
kb_relative_information_score
0.951583552833931
mean_absolute_error
0.009757026756354491
mean_absolute_error
0.010971675813781733
mean_absolute_error
0.009173679445024414
mean_absolute_error
0.012398511978974782
mean_absolute_error
0.015561332019414016
mean_absolute_error
0.01382151869980647
mean_absolute_error
0.014507414258387903
mean_absolute_error
0.011010703829376058
mean_absolute_error
0.005617424055276914
mean_absolute_error
0.010154301693262457
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
0.9615223665223666 [1,0.904762,1,1,0.95,0.863636,1,1,0.944444,0.952381]
precision
0.9512592086276297 [1,0.904762,1,0.9,1,0.944444,1,0.947368,0.952381,0.863636]
precision
0.9721695543205842 [1,1,1,0.952381,0.952381,0.947368,1,1,1,0.869565]
precision
0.941255790992633 [1,0.95,0.952381,0.944444,0.904762,0.857143,0.909091,0.947368,1,0.947368]
precision
0.936111111111111 [0.952381,0.8,1,0.857143,0.944444,0.904762,0.952381,1,1,0.95]
precision
0.9455958077010708 [0.952381,0.909091,0.95,1,0.947368,0.9,0.894737,0.952381,0.95,1]
precision
0.9348556998556998 [1,0.857143,1,0.833333,1,0.95,1,0.9,0.863636,0.944444]
precision
0.9559791189202953 [1,0.904762,1,0.952381,0.909091,1,0.95,0.95,0.941176,0.952381]
precision
0.9754761904761905 [0.95,1,0.952381,0.95,0.952381,0.95,1,1,1,1]
precision
0.9519552669552671 [1,0.909091,1,0.95,1,0.952381,0.944444,1,0.863636,0.9]
predictive_accuracy
0.96
predictive_accuracy
0.95
predictive_accuracy
0.97
predictive_accuracy
0.94
predictive_accuracy
0.93
predictive_accuracy
0.945
predictive_accuracy
0.93
predictive_accuracy
0.955
predictive_accuracy
0.975
predictive_accuracy
0.95
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
0.054205704201969455
relative_absolute_error
0.0609537545210097
relative_absolute_error
0.050964885805691244
relative_absolute_error
0.06888062210541554
relative_absolute_error
0.08645184455230018
relative_absolute_error
0.07678621499892492
relative_absolute_error
0.08059674587993289
relative_absolute_error
0.06117057682986706
relative_absolute_error
0.031207911418205114
relative_absolute_error
0.0564127871847915
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
0.07603534833749168
root_mean_squared_error
0.08762444854109884
root_mean_squared_error
0.07330390323742418
root_mean_squared_error
0.09015124024522948
root_mean_squared_error
0.10195178478055412
root_mean_squared_error
0.09279838301056004
root_mean_squared_error
0.10130613234970957
root_mean_squared_error
0.0805492316614123
root_mean_squared_error
0.061401007207246346
root_mean_squared_error
0.08941067769056098
root_relative_squared_error
0.2534511611249724
root_relative_squared_error
0.2920814951369963
root_relative_squared_error
0.24434634412474743
root_relative_squared_error
0.30050413415076516
root_relative_squared_error
0.33983928260184726
root_relative_squared_error
0.30932794336853364
root_relative_squared_error
0.33768710783236544
root_relative_squared_error
0.26849743887137445
root_relative_squared_error
0.20467002402415463
root_relative_squared_error
0.2980355923018701
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
0.96 [0.95,0.95,1,1,0.95,0.95,0.95,1,0.85,1]
unweighted_recall
0.95 [1,0.95,1,0.9,1,0.85,0.95,0.9,1,0.95]
unweighted_recall
0.9700000000000001 [1,0.9,1,1,1,0.9,1,0.95,0.95,1]
unweighted_recall
0.9400000000000001 [1,0.95,1,0.85,0.95,0.9,1,0.9,0.95,0.9]
unweighted_recall
0.9299999999999999 [1,1,0.85,0.9,0.85,0.95,1,1,0.8,0.95]
unweighted_recall
0.9450000000000001 [1,1,0.95,1,0.9,0.9,0.85,1,0.95,0.9]
unweighted_recall
0.93 [0.9,0.9,0.95,1,0.95,0.95,0.95,0.9,0.95,0.85]
unweighted_recall
0.9550000000000001 [1,0.95,0.95,1,1,0.95,0.95,0.95,0.8,1]
unweighted_recall
0.975 [0.95,1,1,0.95,1,0.95,1,1,0.9,1]
unweighted_recall
0.95 [1,1,1,0.95,0.95,1,0.85,0.9,0.95,0.9]
usercpu_time_millis
8884.030410000378
usercpu_time_millis
9620.557721000296
usercpu_time_millis
8059.368599999289
usercpu_time_millis
6678.14167799952
usercpu_time_millis
7354.523990000416
usercpu_time_millis
6869.126886000231
usercpu_time_millis
8064.06509899989
usercpu_time_millis
7928.039299999909
usercpu_time_millis
10126.156624000032
usercpu_time_millis
9402.373716000511
usercpu_time_millis_testing
3.4793000004356145
usercpu_time_millis_testing
2.767099000266171
usercpu_time_millis_testing
2.733299999817973
usercpu_time_millis_testing
3.3888999996634084
usercpu_time_millis_testing
2.817001000039454
usercpu_time_millis_testing
2.8719000001729
usercpu_time_millis_testing
2.9812000002493733
usercpu_time_millis_testing
3.5689010001078714
usercpu_time_millis_testing
3.0846999998175306
usercpu_time_millis_testing
2.811199999996461
usercpu_time_millis_training
8880.551109999942
usercpu_time_millis_training
9617.79062200003
usercpu_time_millis_training
8056.635299999471
usercpu_time_millis_training
6674.752777999856
usercpu_time_millis_training
7351.706989000377
usercpu_time_millis_training
6866.254986000058
usercpu_time_millis_training
8061.083898999641
usercpu_time_millis_training
7924.470398999802
usercpu_time_millis_training
10123.071924000214
usercpu_time_millis_training
9399.562516000515
wall_clock_time_millis
8892.777919769287
wall_clock_time_millis
9627.29525566101
wall_clock_time_millis
8060.103416442871
wall_clock_time_millis
6683.315753936768
wall_clock_time_millis
7361.988544464111
wall_clock_time_millis
6894.187450408936
wall_clock_time_millis
8066.293001174927
wall_clock_time_millis
7940.880298614502
wall_clock_time_millis
10151.932716369629
wall_clock_time_millis
9407.312154769897
wall_clock_time_millis_testing
3.483295440673828
wall_clock_time_millis_testing
2.7697086334228516
wall_clock_time_millis_testing
2.7360916137695312
wall_clock_time_millis_testing
3.3905506134033203
wall_clock_time_millis_testing
2.8204917907714844
wall_clock_time_millis_testing
2.876758575439453
wall_clock_time_millis_testing
2.9854774475097656
wall_clock_time_millis_testing
3.5719871520996094
wall_clock_time_millis_testing
3.087759017944336
wall_clock_time_millis_testing
2.8145313262939453
wall_clock_time_millis_training
8889.294624328613
wall_clock_time_millis_training
9624.525547027588
wall_clock_time_millis_training
8057.367324829102
wall_clock_time_millis_training
6679.925203323364
wall_clock_time_millis_training
7359.16805267334
wall_clock_time_millis_training
6891.310691833496
wall_clock_time_millis_training
8063.307523727417
wall_clock_time_millis_training
7937.308311462402
wall_clock_time_millis_training
10148.844957351685
wall_clock_time_millis_training
9404.497623443604
weighted_recall
0.96 [0.95,0.95,1,1,0.95,0.95,0.95,1,0.85,1]
weighted_recall
0.95 [1,0.95,1,0.9,1,0.85,0.95,0.9,1,0.95]
weighted_recall
0.97 [1,0.9,1,1,1,0.9,1,0.95,0.95,1]
weighted_recall
0.94 [1,0.95,1,0.85,0.95,0.9,1,0.9,0.95,0.9]
weighted_recall
0.93 [1,1,0.85,0.9,0.85,0.95,1,1,0.8,0.95]
weighted_recall
0.945 [1,1,0.95,1,0.9,0.9,0.85,1,0.95,0.9]
weighted_recall
0.93 [0.9,0.9,0.95,1,0.95,0.95,0.95,0.9,0.95,0.85]
weighted_recall
0.955 [1,0.95,0.95,1,1,0.95,0.95,0.95,0.8,1]
weighted_recall
0.975 [0.95,1,1,0.95,1,0.95,1,1,0.9,1]
weighted_recall
0.95 [1,1,1,0.95,0.95,1,0.85,0.9,0.95,0.9]