10560472
6691
Sergey Redyuk
16
Supervised Classification
18901
sklearn.pipeline.Pipeline(imputer=sklearn.preprocessing.imputation.Imputer,estimator=sklearn.ensemble.forest.RandomForestClassifier)(7)
8276875
Python_3.6.14. Sklearn_0.18.1. NumPy_1.16.6. SciPy_0.19.0.
bootstrap
true
18875
class_weight
null
18875
criterion
"gini"
18875
max_depth
null
18875
max_features
"auto"
18875
max_leaf_nodes
null
18875
min_impurity_split
1e-07
18875
min_samples_leaf
1
18875
min_samples_split
2
18875
min_weight_fraction_leaf
0.0
18875
n_estimators
10
18875
n_jobs
1
18875
oob_score
false
18875
random_state
4943
18875
verbose
0
18875
warm_start
false
18875
axis
0
18879
copy
true
18879
missing_values
"NaN"
18879
strategy
"median"
18879
verbose
0
18879
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "imputer", "step_name": "imputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "estimator", "step_name": "estimator"}}]
18901
openml-python
Sklearn_0.18.1.
16
mfeat-karhunen
https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff
-1
22047029
description
https://api.openml.org/data/download/22047029/description.xml
-1
22047030
predictions
https://api.openml.org/data/download/22047030/predictions.arff
area_under_roc_curve
0.987787638888889 [0.990183,0.991204,0.995207,0.982768,0.996981,0.981479,0.98811,0.997203,0.969008,0.985733]
average_cost
0
f_measure
0.9083245717902776 [0.933661,0.896074,0.924205,0.899497,0.925831,0.892308,0.923469,0.937656,0.857143,0.893401]
kappa
0.8983333333333333
kb_relative_information_score
0.790606427395347
mean_absolute_error
0.06385000000000028
mean_prior_absolute_error
0.18000000000000554
weighted_recall
0.9085 [0.95,0.97,0.945,0.895,0.905,0.87,0.905,0.94,0.825,0.88]
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9099412601919403 [0.917874,0.832618,0.904306,0.90404,0.947644,0.915789,0.942708,0.935323,0.891892,0.907216]
predictive_accuracy
0.9085
prior_entropy
3.3219280948872383
relative_absolute_error
0.35472222222221284
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.14804728974216344
root_relative_squared_error
0.4934909658072039
total_cost
0
unweighted_recall
0.9085000000000001 [0.95,0.97,0.945,0.895,0.905,0.87,0.905,0.94,0.825,0.88]
area_under_roc_curve
0.9866527777777777 [0.989306,0.995556,1,0.982222,0.9975,0.99625,0.958194,0.999167,0.954167,0.994167]
area_under_roc_curve
0.9904861111111113 [0.993056,0.992361,0.998056,0.990556,0.996944,0.959444,0.997917,0.990833,0.995972,0.989722]
area_under_roc_curve
0.9901250000000001 [0.991667,0.963889,0.9975,0.995972,0.998194,0.978889,0.999722,0.99375,0.9825,0.999167]
area_under_roc_curve
0.985777777777778 [0.967778,0.998472,1,0.983194,0.995139,0.961806,0.999167,0.995972,0.995972,0.960278]
area_under_roc_curve
0.9782083333333333 [0.961806,0.987222,0.969306,0.983611,0.996111,0.95875,0.964028,0.998333,0.9775,0.985417]
area_under_roc_curve
0.9877916666666667 [1,0.999583,0.997917,0.990417,0.999861,0.999722,0.987778,0.998333,0.95375,0.950556]
area_under_roc_curve
0.9910972222222222 [0.999861,0.986944,0.999861,0.985833,0.998472,0.983056,0.998472,1,0.964722,0.99375]
area_under_roc_curve
0.9858194444444445 [0.998194,0.99125,0.998333,0.990278,0.999722,0.985694,0.996806,0.999444,0.899861,0.998611]
area_under_roc_curve
0.9931666666666666 [1,0.99875,0.990833,0.962639,0.997222,0.989028,0.999722,1,0.993472,1]
area_under_roc_curve
0.987972222222222 [0.998056,0.998472,1,0.965,0.992917,0.9975,0.976806,0.994861,0.9725,0.983611]
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
0.9189202462744869 [0.926829,0.930233,1,0.923077,0.95,0.904762,0.810811,0.97561,0.820513,0.947368]
f_measure
0.8953323368278439 [0.926829,0.863636,0.923077,0.894737,0.864865,0.85,0.904762,0.878049,0.947368,0.9]
f_measure
0.9153334812384876 [0.9,0.926829,0.863636,0.926829,0.878049,0.857143,0.974359,0.947368,0.904762,0.974359]
f_measure
0.9190044914220213 [0.95,0.883721,0.952381,0.894737,0.95,0.894737,1,0.926829,0.926829,0.810811]
f_measure
0.8705994191970547 [0.878049,0.844444,0.918919,0.837209,0.85,0.918919,0.894737,0.952381,0.769231,0.842105]
f_measure
0.9038576385617836 [1,0.909091,0.826087,0.95,0.974359,0.923077,0.918919,0.930233,0.842105,0.764706]
f_measure
0.9149745250227381 [0.97561,0.926829,0.952381,0.864865,0.974359,0.829268,0.95,0.974359,0.864865,0.837209]
f_measure
0.8933333837511316 [0.904762,0.808511,0.926829,0.878049,0.974359,0.864865,0.95,0.923077,0.727273,0.97561]
f_measure
0.9450901879464138 [0.95,0.97561,0.923077,0.878049,0.947368,0.9,0.974359,1,0.926829,0.97561]
f_measure
0.9040022355853625 [0.926829,0.909091,0.974359,0.95,0.894737,0.97561,0.85,0.864865,0.810811,0.883721]
kappa
0.9111111111111112
kappa
0.8833333333333333
kappa
0.9055555555555556
kappa
0.9111111111111112
kappa
0.8555555555555555
kappa
0.8944444444444445
kappa
0.9055555555555556
kappa
0.8833333333333333
kappa
0.9388888888888889
kappa
0.8944444444444445
kb_relative_information_score
0.7950329523766965
kb_relative_information_score
0.7940735247455017
kb_relative_information_score
0.7817072634696757
kb_relative_information_score
0.7970449443467805
kb_relative_information_score
0.7657477476436408
kb_relative_information_score
0.7901527582103585
kb_relative_information_score
0.7872003636032485
kb_relative_information_score
0.8011610447292671
kb_relative_information_score
0.8131102302784844
kb_relative_information_score
0.7808334445494913
mean_absolute_error
0.062099999999999905
mean_absolute_error
0.0629999999999999
mean_absolute_error
0.06719999999999988
mean_absolute_error
0.06069999999999989
mean_absolute_error
0.0679999999999999
mean_absolute_error
0.06519999999999987
mean_absolute_error
0.06539999999999989
mean_absolute_error
0.05989999999999987
mean_absolute_error
0.05999999999999989
mean_absolute_error
0.06699999999999989
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
0.9212171063557522 [0.904762,0.869565,1,0.947368,0.95,0.863636,0.882353,0.952381,0.842105,1]
precision
0.9000197128293104 [0.904762,0.791667,0.947368,0.944444,0.941176,0.85,0.863636,0.857143,1,0.9]
precision
0.9221969696969697 [0.9,0.904762,0.791667,0.904762,0.857143,1,1,1,0.863636,1]
precision
0.9215943505201818 [0.95,0.826087,0.909091,0.944444,0.95,0.944444,1,0.904762,0.904762,0.882353]
precision
0.87816494794298 [0.857143,0.76,1,0.782609,0.85,1,0.944444,0.909091,0.789474,0.888889]
precision
0.9148496520006819 [1,0.833333,0.730769,0.95,1,0.947368,1,0.869565,0.888889,0.928571]
precision
0.9190719212586218 [0.952381,0.904762,0.909091,0.941176,1,0.809524,0.95,1,0.941176,0.782609]
precision
0.9043247596343571 [0.863636,0.703704,0.904762,0.857143,1,0.941176,0.95,0.947368,0.923077,0.952381]
precision
0.9464035087719297 [0.95,0.952381,0.947368,0.857143,1,0.9,1,1,0.904762,0.952381]
precision
0.908453700320708 [0.904762,0.833333,1,0.95,0.944444,0.952381,0.85,0.941176,0.882353,0.826087]
predictive_accuracy
0.92
predictive_accuracy
0.895
predictive_accuracy
0.915
predictive_accuracy
0.92
predictive_accuracy
0.87
predictive_accuracy
0.905
predictive_accuracy
0.915
predictive_accuracy
0.895
predictive_accuracy
0.945
predictive_accuracy
0.905
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
0.34499999999999986
relative_absolute_error
0.34999999999999987
relative_absolute_error
0.3733333333333331
relative_absolute_error
0.337222222222222
relative_absolute_error
0.37777777777777755
relative_absolute_error
0.36222222222222195
relative_absolute_error
0.36333333333333306
relative_absolute_error
0.33277777777777745
relative_absolute_error
0.3333333333333331
relative_absolute_error
0.37222222222222207
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
0.1473770674155242
root_mean_squared_error
0.14666287873896364
root_mean_squared_error
0.1521183749584512
root_mean_squared_error
0.1443260198301053
root_mean_squared_error
0.15962455951387927
root_mean_squared_error
0.14700340132119377
root_mean_squared_error
0.148087811787466
root_mean_squared_error
0.1433875866314792
root_mean_squared_error
0.13802173741842244
root_mean_squared_error
0.15280706789936116
root_relative_squared_error
0.491256891385081
root_relative_squared_error
0.4888762624632124
root_relative_squared_error
0.5070612498615044
root_relative_squared_error
0.48108673276701786
root_relative_squared_error
0.5320818650462645
root_relative_squared_error
0.4900113377373129
root_relative_squared_error
0.49362603929155363
root_relative_squared_error
0.477958622104931
root_relative_squared_error
0.46007245806140845
root_relative_squared_error
0.5093568929978708
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
0.9200000000000002 [0.95,1,1,0.9,0.95,0.95,0.75,1,0.8,0.9]
unweighted_recall
0.8950000000000001 [0.95,0.95,0.9,0.85,0.8,0.85,0.95,0.9,0.9,0.9]
unweighted_recall
0.915 [0.9,0.95,0.95,0.95,0.9,0.75,0.95,0.9,0.95,0.95]
unweighted_recall
0.9199999999999999 [0.95,0.95,1,0.85,0.95,0.85,1,0.95,0.95,0.75]
unweighted_recall
0.8699999999999999 [0.9,0.95,0.85,0.9,0.85,0.85,0.85,1,0.75,0.8]
unweighted_recall
0.905 [1,1,0.95,0.95,0.95,0.9,0.85,1,0.8,0.65]
unweighted_recall
0.915 [1,0.95,1,0.8,0.95,0.85,0.95,0.95,0.8,0.9]
unweighted_recall
0.8949999999999999 [0.95,0.95,0.95,0.9,0.95,0.8,0.95,0.9,0.6,1]
unweighted_recall
0.9450000000000001 [0.95,1,0.9,0.9,0.9,0.9,0.95,1,0.95,1]
unweighted_recall
0.9049999999999997 [0.95,1,0.95,0.95,0.85,1,0.85,0.8,0.75,0.95]
usercpu_time_millis
124.99999999999994
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis
125
usercpu_time_millis
156.25
usercpu_time_millis
125
usercpu_time_millis
140.625
usercpu_time_millis
156.25
usercpu_time_millis
156.25
usercpu_time_millis
109.375
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
15.625
usercpu_time_millis_testing
0
usercpu_time_millis_testing
0
usercpu_time_millis_training
124.99999999999994
usercpu_time_millis_training
125
usercpu_time_millis_training
125
usercpu_time_millis_training
125
usercpu_time_millis_training
156.25
usercpu_time_millis_training
125
usercpu_time_millis_training
125
usercpu_time_millis_training
140.625
usercpu_time_millis_training
156.25
usercpu_time_millis_training
109.375
wall_clock_time_millis
123.51584434509277
wall_clock_time_millis
126.51515007019043
wall_clock_time_millis
124.87244606018066
wall_clock_time_millis
134.0479850769043
wall_clock_time_millis
147.7818489074707
wall_clock_time_millis
129.1654109954834
wall_clock_time_millis
127.22945213317871
wall_clock_time_millis
147.18198776245117
wall_clock_time_millis
154.0846824645996
wall_clock_time_millis
118.92294883728027
wall_clock_time_millis_testing
1.8336772918701172
wall_clock_time_millis_testing
1.8565654754638672
wall_clock_time_millis_testing
1.8033981323242188
wall_clock_time_millis_testing
2.6755332946777344
wall_clock_time_millis_testing
1.9054412841796875
wall_clock_time_millis_testing
1.5940666198730469
wall_clock_time_millis_testing
1.8131732940673828
wall_clock_time_millis_testing
3.9844512939453125
wall_clock_time_millis_testing
1.7452239990234375
wall_clock_time_millis_testing
1.791238784790039
wall_clock_time_millis_training
121.68216705322266
wall_clock_time_millis_training
124.65858459472656
wall_clock_time_millis_training
123.06904792785645
wall_clock_time_millis_training
131.37245178222656
wall_clock_time_millis_training
145.87640762329102
wall_clock_time_millis_training
127.57134437561035
wall_clock_time_millis_training
125.41627883911133
wall_clock_time_millis_training
143.19753646850586
wall_clock_time_millis_training
152.33945846557617
wall_clock_time_millis_training
117.13171005249023
weighted_recall
0.92 [0.95,1,1,0.9,0.95,0.95,0.75,1,0.8,0.9]
weighted_recall
0.895 [0.95,0.95,0.9,0.85,0.8,0.85,0.95,0.9,0.9,0.9]
weighted_recall
0.915 [0.9,0.95,0.95,0.95,0.9,0.75,0.95,0.9,0.95,0.95]
weighted_recall
0.92 [0.95,0.95,1,0.85,0.95,0.85,1,0.95,0.95,0.75]
weighted_recall
0.87 [0.9,0.95,0.85,0.9,0.85,0.85,0.85,1,0.75,0.8]
weighted_recall
0.905 [1,1,0.95,0.95,0.95,0.9,0.85,1,0.8,0.65]
weighted_recall
0.915 [1,0.95,1,0.8,0.95,0.85,0.95,0.95,0.8,0.9]
weighted_recall
0.895 [0.95,0.95,0.95,0.9,0.95,0.8,0.95,0.9,0.6,1]
weighted_recall
0.945 [0.95,1,0.9,0.9,0.9,0.9,0.95,1,0.95,1]
weighted_recall
0.905 [0.95,1,0.95,0.95,0.85,1,0.85,0.8,0.75,0.95]