10576183
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)
8292465
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
0.561264274172269
19038
loss
"deviance"
19038
max_depth
3
19038
max_features
null
19038
max_leaf_nodes
1727
19038
min_impurity_decrease
0.0
19038
min_impurity_split
null
19038
min_samples_leaf
163
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
2817
19038
subsample
1.0
19038
tol
0.0001
19038
validation_fraction
0.02938579517740913
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
22078633
description
https://api.openml.org/data/download/22078633/description.xml
-1
22078634
predictions
https://api.openml.org/data/download/22078634/predictions.arff
area_under_roc_curve
0.9974411111111112 [0.999658,0.997814,0.999822,0.993992,0.997156,0.995986,0.995333,0.999433,0.997456,0.997761]
average_cost
0
f_measure
0.958051130341455 [0.982456,0.943765,0.987469,0.937965,0.96,0.934343,0.961832,0.972431,0.952618,0.947631]
kappa
0.9533333333333333
kb_relative_information_score
0.9572948177800025
mean_absolute_error
0.009718848744925053
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.958 [0.98,0.965,0.985,0.945,0.96,0.925,0.945,0.97,0.955,0.95]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9582902753032843 [0.984925,0.923445,0.98995,0.931034,0.96,0.943878,0.979275,0.974874,0.950249,0.945274]
predictive_accuracy
0.958
prior_entropy
3.3219280948872383
relative_absolute_error
0.05399360413847085
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.0819387963275658
root_relative_squared_error
0.2731293210918818
total_cost
0
unweighted_recall
0.9579999999999999 [0.98,0.965,0.985,0.945,0.96,0.925,0.945,0.97,0.955,0.95]
area_under_roc_curve
0.9986111111111111 [0.997778,0.998611,1,1,1,0.995,0.998889,1,0.995833,1]
area_under_roc_curve
0.9985833333333334 [1,0.997222,1,0.993611,1,0.996667,1,0.998889,1,0.999444]
area_under_roc_curve
0.99875 [1,0.995833,1,1,1,0.998889,1,0.996111,1,0.996667]
area_under_roc_curve
0.9980555555555556 [1,0.998889,1,0.991944,0.994444,0.9975,1,0.999722,1,0.998056]
area_under_roc_curve
0.9973055555555556 [0.999444,0.996944,1,0.985833,0.996111,0.995833,1,1,0.999444,0.999444]
area_under_roc_curve
0.9981666666666666 [1,0.998889,1,1,0.9975,0.993333,0.999167,0.999167,0.9975,0.996111]
area_under_roc_curve
0.9986944444444446 [0.999444,0.999167,0.999444,0.998889,1,0.996944,1,0.999722,0.996389,0.996944]
area_under_roc_curve
0.9979444444444445 [1,0.999722,1,0.999722,0.997778,0.996944,0.994444,1,0.991667,0.999167]
area_under_roc_curve
0.9986944444444444 [0.999722,1,1,0.989167,1,0.998333,0.999722,1,1,1]
area_under_roc_curve
0.9942222222222223 [0.999444,0.996111,1,0.999167,0.995278,0.998333,0.959722,1,0.995278,0.998889]
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
0.95996336996337 [0.974359,0.923077,1,0.952381,1,0.974359,0.923077,1,0.9,0.952381]
f_measure
0.9548440989904404 [1,0.926829,1,0.871795,0.974359,0.9,1,0.923077,1,0.952381]
f_measure
0.9753479853479854 [1,0.974359,1,0.974359,1,0.95,1,0.95,1,0.904762]
f_measure
0.9699776175899408 [1,0.926829,0.97561,0.947368,0.95,0.95,1,0.97561,1,0.974359]
f_measure
0.9548470784671039 [0.97561,0.909091,0.947368,0.894737,0.947368,0.923077,1,1,0.97561,0.97561]
f_measure
0.9544392406908453 [1,0.952381,0.97561,0.97561,0.923077,0.95,0.894737,0.97561,0.95,0.947368]
f_measure
0.9452770433258239 [0.974359,0.95,0.974359,0.904762,0.97561,0.9,1,0.95,0.904762,0.918919]
f_measure
0.9552243724194942 [1,0.95,1,0.97561,0.909091,0.918919,0.974359,0.974359,0.923077,0.926829]
f_measure
0.9700995688094532 [0.95,1,1,0.926829,0.97561,0.926829,0.947368,1,0.974359,1]
f_measure
0.9399212700803887 [0.95,0.930233,1,0.952381,0.947368,0.95,0.871795,0.974359,0.9,0.923077]
kappa
0.9555555555555555
kappa
0.95
kappa
0.9722222222222222
kappa
0.9666666666666667
kappa
0.95
kappa
0.95
kappa
0.9388888888888889
kappa
0.95
kappa
0.9666666666666667
kappa
0.9333333333333332
kb_relative_information_score
0.958284093823477
kb_relative_information_score
0.9540922131403682
kb_relative_information_score
0.9658718211373738
kb_relative_information_score
0.9620515241679191
kb_relative_information_score
0.9548319681559078
kb_relative_information_score
0.9580052098733599
kb_relative_information_score
0.9520595434118121
kb_relative_information_score
0.9585820981983249
kb_relative_information_score
0.9691280601062018
kb_relative_information_score
0.9400416457849307
mean_absolute_error
0.009250410509271043
mean_absolute_error
0.010607460819657154
mean_absolute_error
0.009244421043872339
mean_absolute_error
0.009168380619330592
mean_absolute_error
0.010103939994049856
mean_absolute_error
0.008949917889082027
mean_absolute_error
0.010787498876841349
mean_absolute_error
0.009589769114318055
mean_absolute_error
0.007031253238323032
mean_absolute_error
0.012455435344504873
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
0.9612918660287082 [1,0.947368,1,0.909091,1,1,0.947368,1,0.9,0.909091]
precision
0.9555958077010709 [1,0.904762,1,0.894737,1,0.9,1,0.947368,1,0.909091]
precision
0.9763636363636364 [1,1,1,1,1,0.95,1,0.95,1,0.863636]
precision
0.9709523809523809 [1,0.904762,0.952381,1,0.95,0.95,1,0.952381,1,1]
precision
0.9582289055973265 [0.952381,0.833333,1,0.944444,1,0.947368,1,1,0.952381,0.952381]
precision
0.9558046631730842 [1,0.909091,0.952381,0.952381,0.947368,0.95,0.944444,0.952381,0.95,1]
precision
0.9479653679653681 [1,0.95,1,0.863636,0.952381,0.9,1,0.95,0.863636,1]
precision
0.9587844611528823 [1,0.95,1,0.952381,0.833333,1,1,1,0.947368,0.904762]
precision
0.9711904761904762 [0.95,1,1,0.904762,0.952381,0.904762,1,1,1,1]
precision
0.9420761389640109 [0.95,0.869565,1,0.909091,1,0.95,0.894737,1,0.9,0.947368]
predictive_accuracy
0.96
predictive_accuracy
0.955
predictive_accuracy
0.975
predictive_accuracy
0.97
predictive_accuracy
0.955
predictive_accuracy
0.955
predictive_accuracy
0.945
predictive_accuracy
0.955
predictive_accuracy
0.97
predictive_accuracy
0.94
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
0.051391169495950295
relative_absolute_error
0.05893033788698425
relative_absolute_error
0.05135789468817972
relative_absolute_error
0.050935447885170015
relative_absolute_error
0.0561329999669437
relative_absolute_error
0.04972176605045576
relative_absolute_error
0.059930549315785335
relative_absolute_error
0.053276495079544815
relative_absolute_error
0.039062517990683554
relative_absolute_error
0.06919686302502714
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
0.07870898652657725
root_mean_squared_error
0.08387295333275556
root_mean_squared_error
0.06839674318709302
root_mean_squared_error
0.0736309768714017
root_mean_squared_error
0.0873917097788402
root_mean_squared_error
0.08303874690756387
root_mean_squared_error
0.08752884193751967
root_mean_squared_error
0.08146063701813404
root_mean_squared_error
0.06928961530735071
root_mean_squared_error
0.10089262892726109
root_relative_squared_error
0.2623632884219243
root_relative_squared_error
0.27957651110918535
root_relative_squared_error
0.22798914395697686
root_relative_squared_error
0.24543658957133915
root_relative_squared_error
0.29130569926280087
root_relative_squared_error
0.27679582302521305
root_relative_squared_error
0.2917628064583991
root_relative_squared_error
0.27153545672711366
root_relative_squared_error
0.23096538435783587
root_relative_squared_error
0.33630876309087043
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 [0.95,0.9,1,1,1,0.95,0.9,1,0.9,1]
unweighted_recall
0.9550000000000001 [1,0.95,1,0.85,0.95,0.9,1,0.9,1,1]
unweighted_recall
0.975 [1,0.95,1,0.95,1,0.95,1,0.95,1,0.95]
unweighted_recall
0.97 [1,0.95,1,0.9,0.95,0.95,1,1,1,0.95]
unweighted_recall
0.9550000000000001 [1,1,0.9,0.85,0.9,0.9,1,1,1,1]
unweighted_recall
0.9550000000000001 [1,1,1,1,0.9,0.95,0.85,1,0.95,0.9]
unweighted_recall
0.945 [0.95,0.95,0.95,0.95,1,0.9,1,0.95,0.95,0.85]
unweighted_recall
0.9549999999999998 [1,0.95,1,1,1,0.85,0.95,0.95,0.9,0.95]
unweighted_recall
0.9700000000000001 [0.95,1,1,0.95,1,0.95,0.9,1,0.95,1]
unweighted_recall
0.9400000000000001 [0.95,1,1,1,0.9,0.95,0.85,0.95,0.9,0.9]
usercpu_time_millis
7565.411891000622
usercpu_time_millis
10528.698030000669
usercpu_time_millis
7906.590896000125
usercpu_time_millis
9637.75102299951
usercpu_time_millis
14386.968976999924
usercpu_time_millis
13075.17875999929
usercpu_time_millis
9816.84232600037
usercpu_time_millis
9582.139821000055
usercpu_time_millis
10555.38953300038
usercpu_time_millis
9156.11780800009
usercpu_time_millis_testing
3.4866000005422393
usercpu_time_millis_testing
3.2869000006030547
usercpu_time_millis_testing
2.836100000422448
usercpu_time_millis_testing
3.4290999992663274
usercpu_time_millis_testing
3.689400000439491
usercpu_time_millis_testing
3.450899999734247
usercpu_time_millis_testing
3.1349999999292777
usercpu_time_millis_testing
3.3580999997866456
usercpu_time_millis_testing
3.1216999996104278
usercpu_time_millis_testing
3.1478999999308144
usercpu_time_millis_training
7561.92529100008
usercpu_time_millis_training
10525.411130000066
usercpu_time_millis_training
7903.754795999703
usercpu_time_millis_training
9634.321923000243
usercpu_time_millis_training
14383.279576999485
usercpu_time_millis_training
13071.727859999555
usercpu_time_millis_training
9813.70732600044
usercpu_time_millis_training
9578.781721000269
usercpu_time_millis_training
10552.26783300077
usercpu_time_millis_training
9152.96990800016
wall_clock_time_millis
7582.66019821167
wall_clock_time_millis
10546.098947525024
wall_clock_time_millis
7920.389175415039
wall_clock_time_millis
9658.331155776978
wall_clock_time_millis
14389.967203140259
wall_clock_time_millis
13091.514348983765
wall_clock_time_millis
9825.85597038269
wall_clock_time_millis
9586.753845214844
wall_clock_time_millis
10571.84100151062
wall_clock_time_millis
9162.355422973633
wall_clock_time_millis_testing
3.4911632537841797
wall_clock_time_millis_testing
3.2889842987060547
wall_clock_time_millis_testing
2.839803695678711
wall_clock_time_millis_testing
3.434419631958008
wall_clock_time_millis_testing
3.6923885345458984
wall_clock_time_millis_testing
3.4546852111816406
wall_clock_time_millis_testing
3.1387805938720703
wall_clock_time_millis_testing
3.3626556396484375
wall_clock_time_millis_testing
3.124237060546875
wall_clock_time_millis_testing
3.151416778564453
wall_clock_time_millis_training
7579.169034957886
wall_clock_time_millis_training
10542.809963226318
wall_clock_time_millis_training
7917.54937171936
wall_clock_time_millis_training
9654.89673614502
wall_clock_time_millis_training
14386.274814605713
wall_clock_time_millis_training
13088.059663772583
wall_clock_time_millis_training
9822.717189788818
wall_clock_time_millis_training
9583.391189575195
wall_clock_time_millis_training
10568.716764450073
wall_clock_time_millis_training
9159.204006195068
weighted_recall
0.96 [0.95,0.9,1,1,1,0.95,0.9,1,0.9,1]
weighted_recall
0.955 [1,0.95,1,0.85,0.95,0.9,1,0.9,1,1]
weighted_recall
0.975 [1,0.95,1,0.95,1,0.95,1,0.95,1,0.95]
weighted_recall
0.97 [1,0.95,1,0.9,0.95,0.95,1,1,1,0.95]
weighted_recall
0.955 [1,1,0.9,0.85,0.9,0.9,1,1,1,1]
weighted_recall
0.955 [1,1,1,1,0.9,0.95,0.85,1,0.95,0.9]
weighted_recall
0.945 [0.95,0.95,0.95,0.95,1,0.9,1,0.95,0.95,0.85]
weighted_recall
0.955 [1,0.95,1,1,1,0.85,0.95,0.95,0.9,0.95]
weighted_recall
0.97 [0.95,1,1,0.95,1,0.95,0.9,1,0.95,1]
weighted_recall
0.94 [0.95,1,1,1,0.9,0.95,0.85,0.95,0.9,0.9]