8906324
1935
Hilde Weerts
14
Supervised Classification
8317
sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1)
6843806
categorical_features
[]
7644
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7644
handle_unknown
"ignore"
7644
n_values
"auto"
7644
sparse
true
7644
threshold
0.0
7645
copy
true
7646
with_mean
false
7646
with_std
true
7646
C
2.980023051134011
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.32876617451470913
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.0018449419531555468
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
true
7650
tol
0.00020656878641656397
7650
verbose
false
7650
axis
0
8316
categorical_features
[]
8316
copy
true
8316
fill_empty
0
8316
missing_values
"NaN"
8316
strategy
"mean"
8316
strategy_nominal
"most_frequent"
8316
verbose
0
8316
memory
null
8317
openml-python
Sklearn_0.19.1.
study_98
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18728384
description
https://api.openml.org/data/download/18728384/description.xml
-1
18728385
predictions
https://api.openml.org/data/download/18728385/predictions.arff
area_under_roc_curve
0.9033333333333333 [0.995,0.871389,0.975,0.9225,0.885556,0.966389,0.717222,0.965278,0.986389,0.748611]
average_cost
0
f_measure
0.8253840491339374 [0.994975,0.750605,0.955,0.879177,0.82199,0.937656,0.507937,0.894118,0.977444,0.53494]
kappa
0.8066666666666666
kb_relative_information_score
1636.0763932848372
mean_absolute_error
0.03480000000000023
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8265371035396228 [1,0.7277,0.955,0.904762,0.862637,0.935323,0.539326,0.844444,0.979899,0.516279]
predictive_accuracy
0.826
prior_entropy
3.321928094887362
recall
0.826 [0.99,0.775,0.955,0.855,0.785,0.94,0.48,0.95,0.975,0.555]
relative_absolute_error
0.19333333333332864
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1865475810617769
root_relative_squared_error
0.6218252702059135
total_cost
0
area_under_roc_curve
0.8944444444444444 [0.975,0.916667,0.972222,0.9,0.919444,1,0.625,0.919444,0.997222,0.719444]
area_under_roc_curve
0.9055555555555557 [1,0.888889,0.972222,0.919444,0.866667,0.944444,0.686111,0.961111,0.975,0.841667]
area_under_roc_curve
0.9083333333333334 [1,0.880556,1,0.891667,0.936111,0.947222,0.752778,0.919444,1,0.755556]
area_under_roc_curve
0.922222222222222 [0.975,0.861111,0.975,0.969444,0.938889,0.944444,0.813889,0.919444,0.972222,0.852778]
area_under_roc_curve
0.8944444444444446 [1,0.813889,0.975,0.916667,0.891667,0.969444,0.677778,0.983333,1,0.716667]
area_under_roc_curve
0.9083333333333333 [1,0.888889,0.994444,0.894444,0.872222,0.997222,0.766667,0.994444,1,0.675]
area_under_roc_curve
0.9 [1,0.863889,0.95,0.941667,0.869444,0.966667,0.75,0.983333,1,0.675]
area_under_roc_curve
0.9166666666666667 [1,0.883333,0.972222,0.944444,0.872222,0.947222,0.825,0.991667,0.972222,0.758333]
area_under_roc_curve
0.9055555555555556 [1,0.841667,0.997222,0.972222,0.838889,0.972222,0.633333,0.988889,1,0.811111]
area_under_roc_curve
0.8777777777777779 [1,0.875,0.941667,0.875,0.85,0.975,0.641667,0.991667,0.947222,0.680556]
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
0.8083109383841091 [0.974359,0.72,0.95,0.888889,0.871795,1,0.342857,0.871795,0.97561,0.487805]
f_measure
0.8272410251189645 [1,0.8,0.95,0.871795,0.789474,0.9,0.484848,0.863636,0.974359,0.638298]
f_measure
0.8339829896745441 [1,0.744186,1,0.820513,0.837209,0.923077,0.564103,0.871795,1,0.578947]
f_measure
0.8604862067255715 [0.974359,0.75,0.974359,0.926829,0.857143,0.9,0.702703,0.871795,0.95,0.697674]
f_measure
0.8064603903893405 [1,0.702703,0.974359,0.85,0.820513,0.926829,0.444444,0.869565,1,0.47619]
f_measure
0.8333697235237671 [1,0.8,0.952381,0.842105,0.833333,0.97561,0.545455,0.952381,1,0.432432]
f_measure
0.8162218336167658 [1,0.769231,0.947368,0.878049,0.810811,0.904762,0.55,0.869565,1,0.432432]
f_measure
0.8494304961746824 [1,0.761905,0.95,0.9,0.833333,0.923077,0.651163,0.930233,0.95,0.594595]
f_measure
0.8236632860541717 [1,0.756757,0.97561,0.95,0.736842,0.95,0.375,0.909091,1,0.583333]
f_measure
0.785647497505627 [1,0.711111,0.878049,0.857143,0.823529,0.974359,0.358974,0.930233,0.923077,0.4]
kappa
0.788888888888889
kappa
0.8111111111111111
kappa
0.8166666666666667
kappa
0.8444444444444444
kappa
0.788888888888889
kappa
0.8166666666666667
kappa
0.7999999999999999
kappa
0.8333333333333333
kappa
0.8111111111111111
kappa
0.7555555555555555
kb_relative_information_score
160.26121535869456
kb_relative_information_score
164.4442453209372
kb_relative_information_score
165.49000281149785
kb_relative_information_score
170.71879026430113
kb_relative_information_score
160.26121535869456
kb_relative_information_score
165.49000281149785
kb_relative_information_score
162.35273033981585
kb_relative_information_score
168.6272752831798
kb_relative_information_score
164.4442453209372
kb_relative_information_score
153.98667041533062
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.044000000000000004
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
0.8168045112781954 [1,0.6,0.95,1,0.894737,1,0.4,0.894737,0.952381,0.47619]
precision
0.8340677013045434 [1,0.8,0.95,0.894737,0.833333,0.9,0.615385,0.791667,1,0.555556]
precision
0.8352529875413172 [1,0.695652,1,0.842105,0.782609,0.947368,0.578947,0.894737,1,0.611111]
precision
0.8634560360445406 [1,0.75,1,0.904762,0.818182,0.9,0.764706,0.894737,0.95,0.652174]
precision
0.8085349274048964 [1,0.764706,1,0.85,0.842105,0.904762,0.5,0.769231,1,0.454545]
precision
0.8367539894745777 [1,0.8,0.909091,0.888889,0.9375,0.952381,0.5,0.909091,1,0.470588]
precision
0.8182424850691105 [1,0.789474,1,0.857143,0.882353,0.863636,0.55,0.769231,1,0.470588]
precision
0.8537460841419988 [1,0.727273,0.95,0.9,0.9375,0.947368,0.608696,0.869565,0.95,0.647059]
precision
0.828702147525677 [1,0.823529,0.952381,0.95,0.777778,0.95,0.5,0.833333,1,0.5]
precision
0.8042497548218371 [1,0.64,0.857143,1,1,1,0.368421,0.869565,0.947368,0.36]
predictive_accuracy
0.81
predictive_accuracy
0.83
predictive_accuracy
0.835
predictive_accuracy
0.86
predictive_accuracy
0.81
predictive_accuracy
0.835
predictive_accuracy
0.82
predictive_accuracy
0.85
predictive_accuracy
0.83
predictive_accuracy
0.78
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
prior_entropy
3.321928094887362
recall
0.81 [0.95,0.9,0.95,0.8,0.85,1,0.3,0.85,1,0.5]
recall
0.83 [1,0.8,0.95,0.85,0.75,0.9,0.4,0.95,0.95,0.75]
recall
0.835 [1,0.8,1,0.8,0.9,0.9,0.55,0.85,1,0.55]
recall
0.86 [0.95,0.75,0.95,0.95,0.9,0.9,0.65,0.85,0.95,0.75]
recall
0.81 [1,0.65,0.95,0.85,0.8,0.95,0.4,1,1,0.5]
recall
0.835 [1,0.8,1,0.8,0.75,1,0.6,1,1,0.4]
recall
0.82 [1,0.75,0.9,0.9,0.75,0.95,0.55,1,1,0.4]
recall
0.85 [1,0.8,0.95,0.9,0.75,0.9,0.7,1,0.95,0.55]
recall
0.83 [1,0.7,1,0.95,0.7,0.95,0.3,1,1,0.7]
recall
0.78 [1,0.8,0.9,0.75,0.7,0.95,0.35,1,0.9,0.45]
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.24444444444444474
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
0.19493588689617933
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.1897366596101028
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.20976176963403032
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.6992058987801015
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
2865.471725000134
usercpu_time_millis
2925.912446999064
usercpu_time_millis
2436.53825399997
usercpu_time_millis
2411.328164999759
usercpu_time_millis
2632.05489900065
usercpu_time_millis
3205.077956000423
usercpu_time_millis
3213.732044000608
usercpu_time_millis
3096.2164159991516
usercpu_time_millis
2998.316498999884
usercpu_time_millis
3106.543873999726
usercpu_time_millis_testing
31.146734000685683
usercpu_time_millis_testing
29.45920899946941
usercpu_time_millis_testing
28.95522600010736
usercpu_time_millis_testing
29.074795999804337
usercpu_time_millis_testing
35.42600400032825
usercpu_time_millis_testing
34.37725599997066
usercpu_time_millis_testing
36.024437000378384
usercpu_time_millis_testing
34.9222019995068
usercpu_time_millis_testing
34.57471599995188
usercpu_time_millis_testing
36.38663399942743
usercpu_time_millis_training
2834.3249909994483
usercpu_time_millis_training
2896.4532379995944
usercpu_time_millis_training
2407.5830279998627
usercpu_time_millis_training
2382.2533689999545
usercpu_time_millis_training
2596.628895000322
usercpu_time_millis_training
3170.7007000004523
usercpu_time_millis_training
3177.7076070002295
usercpu_time_millis_training
3061.294213999645
usercpu_time_millis_training
2963.741782999932
usercpu_time_millis_training
3070.1572400002988