8906785
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)
6844216
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
1.4284742740546565
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.2757237527227806
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.0009518537530100743
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.00012673454526759218
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
18729302
description
https://api.openml.org/data/download/18729302/description.xml
-1
18729303
predictions
https://api.openml.org/data/download/18729303/predictions.arff
area_under_roc_curve
0.8919444444444445 [0.9925,0.857222,0.964444,0.912778,0.851389,0.948889,0.672778,0.955278,0.985278,0.778889]
average_cost
0
f_measure
0.8026153168073528 [0.992443,0.724638,0.939698,0.869792,0.768,0.90099,0.449704,0.852608,0.967742,0.560538]
kappa
0.7838888888888889
kb_relative_information_score
1593.200336171854
mean_absolute_error
0.03890000000000028
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8067530564676879 [1,0.700935,0.944444,0.907609,0.822857,0.892157,0.550725,0.780083,0.960591,0.50813]
predictive_accuracy
0.8055
prior_entropy
3.321928094887362
recall
0.8055 [0.985,0.75,0.935,0.835,0.72,0.91,0.38,0.94,0.975,0.625]
relative_absolute_error
0.21611111111110604
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1972308292331609
root_relative_squared_error
0.6574360974438597
total_cost
0
area_under_roc_curve
0.8722222222222222 [0.975,0.913889,0.969444,0.872222,0.897222,0.972222,0.544444,0.891667,0.997222,0.688889]
area_under_roc_curve
0.8888888888888888 [1,0.866667,0.969444,0.922222,0.788889,0.936111,0.688889,0.930556,0.969444,0.816667]
area_under_roc_curve
0.9055555555555556 [1,0.880556,0.975,0.891667,0.913889,0.947222,0.663889,0.941667,1,0.841667]
area_under_roc_curve
0.8972222222222221 [0.975,0.838889,0.975,0.969444,0.880556,0.941667,0.713889,0.913889,0.969444,0.794444]
area_under_roc_curve
0.8916666666666666 [1,0.788889,0.975,0.916667,0.838889,0.938889,0.708333,0.980556,1,0.769444]
area_under_roc_curve
0.9027777777777777 [1,0.886111,0.994444,0.897222,0.891667,0.947222,0.655556,0.991667,1,0.763889]
area_under_roc_curve
0.8972222222222221 [1,0.858333,0.925,0.941667,0.819444,0.938889,0.780556,0.980556,1,0.727778]
area_under_roc_curve
0.9027777777777777 [0.975,0.858333,0.947222,0.919444,0.847222,0.947222,0.755556,0.958333,0.969444,0.85]
area_under_roc_curve
0.8972222222222221 [1,0.808333,0.997222,0.947222,0.791667,0.944444,0.619444,0.980556,1,0.883333]
area_under_roc_curve
0.8638888888888888 [1,0.872222,0.916667,0.85,0.844444,0.975,0.597222,0.983333,0.947222,0.652778]
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
0.7656433387208136 [0.974359,0.705882,0.926829,0.833333,0.864865,0.95,0.176471,0.820513,0.97561,0.428571]
f_measure
0.7950440684067314 [1,0.789474,0.926829,0.894737,0.666667,0.837209,0.5,0.8,0.926829,0.608696]
f_measure
0.8259362613197309 [1,0.744186,0.974359,0.820513,0.829268,0.923077,0.451613,0.878049,1,0.638298]
f_measure
0.8127085346612468 [0.974359,0.736842,0.974359,0.926829,0.744186,0.878049,0.545455,0.829268,0.926829,0.590909]
f_measure
0.8008499682388325 [1,0.666667,0.974359,0.85,0.736842,0.857143,0.514286,0.851064,1,0.55814]
f_measure
0.8216653963068831 [1,0.780488,0.952381,0.864865,0.820513,0.923077,0.411765,0.930233,1,0.533333]
f_measure
0.8121439251125427 [1,0.731707,0.918919,0.878049,0.742857,0.857143,0.615385,0.851064,1,0.526316]
f_measure
0.8256054272357224 [0.974359,0.731707,0.923077,0.871795,0.8,0.923077,0.578947,0.844444,0.926829,0.681818]
f_measure
0.8026347985559193 [1,0.666667,0.97561,0.923077,0.685714,0.9,0.37037,0.851064,1,0.653846]
f_measure
0.755523031955257 [1,0.695652,0.85,0.823529,0.777778,0.974359,0.285714,0.869565,0.923077,0.355556]
kappa
0.7444444444444445
kappa
0.7777777777777778
kappa
0.8111111111111111
kappa
0.7944444444444444
kappa
0.7833333333333334
kappa
0.8055555555555555
kappa
0.7944444444444444
kappa
0.8055555555555555
kappa
0.7944444444444444
kappa
0.7277777777777777
kb_relative_information_score
151.89515543420927
kb_relative_information_score
158.16970037757324
kb_relative_information_score
164.4442453209372
kb_relative_information_score
161.3069728492552
kb_relative_information_score
159.21545786813388
kb_relative_information_score
163.39848783037652
kb_relative_information_score
161.3069728492552
kb_relative_information_score
163.39848783037652
kb_relative_information_score
161.3069728492552
kb_relative_information_score
148.75788296252722
mean_absolute_error
0.046
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.04899999999999999
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
0.7731946375555934 [1,0.580645,0.904762,0.9375,0.941176,0.95,0.214286,0.842105,0.952381,0.409091]
precision
0.8045038488081967 [1,0.833333,0.904762,0.944444,0.75,0.782609,0.666667,0.72,0.904762,0.538462]
precision
0.8343711716709429 [1,0.695652,1,0.842105,0.809524,0.947368,0.636364,0.857143,1,0.555556]
precision
0.8183594786855656 [1,0.777778,1,0.904762,0.695652,0.857143,0.692308,0.809524,0.904762,0.541667]
precision
0.8058439467135119 [1,0.75,1,0.85,0.777778,0.818182,0.6,0.740741,1,0.521739]
precision
0.8251211043185737 [1,0.761905,0.909091,0.941176,0.842105,0.947368,0.5,0.869565,1,0.48]
precision
0.8184152299941774 [1,0.714286,1,0.857143,0.866667,0.818182,0.631579,0.740741,1,0.555556]
precision
0.833796574770259 [1,0.714286,0.947368,0.894737,0.933333,0.947368,0.611111,0.76,0.904762,0.625]
precision
0.8270236354775828 [1,0.684211,0.952381,0.947368,0.8,0.9,0.714286,0.740741,1,0.53125]
precision
0.771031713900135 [1,0.615385,0.85,1,0.875,1,0.333333,0.769231,0.947368,0.32]
predictive_accuracy
0.77
predictive_accuracy
0.8
predictive_accuracy
0.83
predictive_accuracy
0.815
predictive_accuracy
0.805
predictive_accuracy
0.825
predictive_accuracy
0.815
predictive_accuracy
0.825
predictive_accuracy
0.815
predictive_accuracy
0.755
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
0.77 [0.95,0.9,0.95,0.75,0.8,0.95,0.15,0.8,1,0.45]
recall
0.8 [1,0.75,0.95,0.85,0.6,0.9,0.4,0.9,0.95,0.7]
recall
0.83 [1,0.8,0.95,0.8,0.85,0.9,0.35,0.9,1,0.75]
recall
0.815 [0.95,0.7,0.95,0.95,0.8,0.9,0.45,0.85,0.95,0.65]
recall
0.805 [1,0.6,0.95,0.85,0.7,0.9,0.45,1,1,0.6]
recall
0.825 [1,0.8,1,0.8,0.8,0.9,0.35,1,1,0.6]
recall
0.815 [1,0.75,0.85,0.9,0.65,0.9,0.6,1,1,0.5]
recall
0.825 [0.95,0.75,0.9,0.85,0.7,0.9,0.55,0.95,0.95,0.75]
recall
0.815 [1,0.65,1,0.9,0.6,0.9,0.25,1,1,0.85]
recall
0.755 [1,0.8,0.85,0.7,0.7,0.95,0.25,1,0.9,0.4]
relative_absolute_error
0.2555555555555558
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.2722222222222225
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
0.21447610589527216
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.22135943621178653
root_relative_squared_error
0.714920352984241
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.7378647873726222
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
3545.4116270002487
usercpu_time_millis
3494.369292999181
usercpu_time_millis
3595.202646999496
usercpu_time_millis
3595.792712999355
usercpu_time_millis
3063.732352000443
usercpu_time_millis
2838.173973999801
usercpu_time_millis
2760.206790999291
usercpu_time_millis
2794.4501379997746
usercpu_time_millis
3235.586413999954
usercpu_time_millis
3440.903071000321
usercpu_time_millis_testing
43.081894000351895
usercpu_time_millis_testing
42.862405000050785
usercpu_time_millis_testing
41.821806999905675
usercpu_time_millis_testing
43.43298000003415
usercpu_time_millis_testing
36.68888100037293
usercpu_time_millis_testing
40.78093699990859
usercpu_time_millis_testing
39.4614549995822
usercpu_time_millis_testing
40.636069000356656
usercpu_time_millis_testing
44.80727099962678
usercpu_time_millis_testing
43.92222899969056
usercpu_time_millis_training
3502.329732999897
usercpu_time_millis_training
3451.5068879991304
usercpu_time_millis_training
3553.3808399995905
usercpu_time_millis_training
3552.359732999321
usercpu_time_millis_training
3027.04347100007
usercpu_time_millis_training
2797.3930369998925
usercpu_time_millis_training
2720.745335999709
usercpu_time_millis_training
2753.814068999418
usercpu_time_millis_training
3190.779143000327
usercpu_time_millis_training
3396.98084200063