8905840
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)
6843383
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
1.6466750649068582
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.2859777949512591
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.001081763101562465
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.00013928719091430204
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
18727422
description
https://api.openml.org/data/download/18727422/description.xml
-1
18727423
predictions
https://api.openml.org/data/download/18727423/predictions.arff
area_under_roc_curve
0.8955555555555557 [0.9925,0.864444,0.964722,0.912778,0.858889,0.952222,0.688889,0.96,0.985833,0.775278]
average_cost
0
f_measure
0.8102769937494622 [0.992443,0.732057,0.942065,0.869792,0.777778,0.910448,0.474286,0.870968,0.972569,0.560364]
kappa
0.7911111111111112
kb_relative_information_score
1606.795183549141
mean_absolute_error
0.037600000000000265
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8136284673627737 [1,0.701835,0.949239,0.907609,0.825843,0.905941,0.553333,0.807692,0.970149,0.514644]
predictive_accuracy
0.812
prior_entropy
3.321928094887362
recall
0.812 [0.985,0.765,0.935,0.835,0.735,0.915,0.415,0.945,0.975,0.615]
relative_absolute_error
0.2088888888888839
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19390719429665385
root_relative_squared_error
0.6463573143221696
total_cost
0
area_under_roc_curve
0.875 [0.975,0.888889,0.972222,0.872222,0.919444,1,0.544444,0.894444,0.997222,0.686111]
area_under_roc_curve
0.8999999999999999 [1,0.891667,0.969444,0.922222,0.813889,0.938889,0.713889,0.933333,0.972222,0.844444]
area_under_roc_curve
0.9083333333333334 [1,0.883333,0.975,0.891667,0.911111,0.947222,0.708333,0.941667,1,0.825]
area_under_roc_curve
0.9111111111111111 [0.975,0.861111,0.975,0.969444,0.908333,0.941667,0.763889,0.919444,0.972222,0.825]
area_under_roc_curve
0.8944444444444444 [1,0.788889,0.975,0.916667,0.863889,0.941667,0.730556,0.980556,1,0.747222]
area_under_roc_curve
0.9 [1,0.886111,0.994444,0.897222,0.869444,0.947222,0.655556,0.991667,1,0.758333]
area_under_roc_curve
0.8916666666666666 [1,0.858333,0.925,0.941667,0.819444,0.938889,0.775,0.980556,1,0.677778]
area_under_roc_curve
0.9083333333333333 [0.975,0.877778,0.947222,0.919444,0.847222,0.947222,0.783333,0.988889,0.969444,0.827778]
area_under_roc_curve
0.8972222222222221 [1,0.833333,0.997222,0.947222,0.766667,0.944444,0.616667,0.983333,1,0.883333]
area_under_roc_curve
0.8694444444444442 [1,0.875,0.916667,0.85,0.869444,0.975,0.597222,0.986111,0.947222,0.677778]
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
0.7722277438140719 [0.974359,0.68,0.95,0.833333,0.871795,1,0.176471,0.842105,0.97561,0.418605]
f_measure
0.8167734767436169 [1,0.820513,0.926829,0.894737,0.702703,0.857143,0.545455,0.818182,0.95,0.652174]
f_measure
0.8332874574848483 [1,0.761905,0.974359,0.820513,0.809524,0.923077,0.514286,0.878049,1,0.651163]
f_measure
0.8395822762981016 [0.974359,0.75,0.974359,0.926829,0.790698,0.878049,0.628571,0.871795,0.95,0.651163]
f_measure
0.8066494926925647 [1,0.666667,0.974359,0.85,0.769231,0.878049,0.540541,0.851064,1,0.536585]
f_measure
0.8184256917905828 [1,0.780488,0.952381,0.864865,0.810811,0.923077,0.411765,0.930233,1,0.510638]
f_measure
0.800954914437011 [1,0.731707,0.918919,0.878049,0.742857,0.857143,0.585366,0.851064,1,0.444444]
f_measure
0.83537462109991 [0.974359,0.727273,0.923077,0.871795,0.8,0.923077,0.631579,0.909091,0.926829,0.666667]
f_measure
0.8026299731084211 [1,0.7,0.97561,0.923077,0.647059,0.9,0.357143,0.869565,1,0.653846]
f_measure
0.7658794753551788 [1,0.711111,0.85,0.823529,0.810811,0.974359,0.285714,0.888889,0.923077,0.391304]
kappa
0.75
kappa
0.7999999999999999
kappa
0.8166666666666667
kappa
0.8222222222222222
kappa
0.788888888888889
kappa
0.7999999999999999
kappa
0.7833333333333334
kappa
0.8166666666666667
kappa
0.7944444444444444
kappa
0.7388888888888889
kb_relative_information_score
152.94091292476992
kb_relative_information_score
162.35273033981585
kb_relative_information_score
165.49000281149785
kb_relative_information_score
166.5357603020585
kb_relative_information_score
160.26121535869456
kb_relative_information_score
162.35273033981585
kb_relative_information_score
159.21545786813388
kb_relative_information_score
165.49000281149785
kb_relative_information_score
161.3069728492552
kb_relative_information_score
150.84939794364857
mean_absolute_error
0.045
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.04699999999999999
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
0.7795763412153572 [1,0.566667,0.95,0.9375,0.894737,1,0.214286,0.888889,0.952381,0.391304]
precision
0.8243430082129772 [1,0.842105,0.904762,0.944444,0.764706,0.818182,0.692308,0.75,0.95,0.576923]
precision
0.8355312193527296 [1,0.727273,1,0.842105,0.772727,0.947368,0.6,0.857143,1,0.608696]
precision
0.843780102429988 [1,0.75,1,0.904762,0.73913,0.857143,0.733333,0.894737,0.95,0.608696]
precision
0.8099402100021296 [1,0.75,1,0.85,0.789474,0.857143,0.588235,0.740741,1,0.52381]
precision
0.8255903165648758 [1,0.761905,0.909091,0.941176,0.882353,0.947368,0.5,0.869565,1,0.444444]
precision
0.8068446368446368 [1,0.714286,1,0.857143,0.866667,0.818182,0.571429,0.740741,1,0.5]
precision
0.8430599225336067 [1,0.666667,0.947368,0.894737,0.933333,0.947368,0.666667,0.833333,0.904762,0.636364]
precision
0.8210944428378639 [1,0.7,0.952381,0.947368,0.785714,0.9,0.625,0.769231,1,0.53125]
precision
0.7799208541716283 [1,0.64,0.85,1,0.882353,1,0.333333,0.8,0.947368,0.346154]
predictive_accuracy
0.775
predictive_accuracy
0.82
predictive_accuracy
0.835
predictive_accuracy
0.84
predictive_accuracy
0.81
predictive_accuracy
0.82
predictive_accuracy
0.805
predictive_accuracy
0.835
predictive_accuracy
0.815
predictive_accuracy
0.765
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
0.775 [0.95,0.85,0.95,0.75,0.85,1,0.15,0.8,1,0.45]
recall
0.82 [1,0.8,0.95,0.85,0.65,0.9,0.45,0.9,0.95,0.75]
recall
0.835 [1,0.8,0.95,0.8,0.85,0.9,0.45,0.9,1,0.7]
recall
0.84 [0.95,0.75,0.95,0.95,0.85,0.9,0.55,0.85,0.95,0.7]
recall
0.81 [1,0.6,0.95,0.85,0.75,0.9,0.5,1,1,0.55]
recall
0.82 [1,0.8,1,0.8,0.75,0.9,0.35,1,1,0.6]
recall
0.805 [1,0.75,0.85,0.9,0.65,0.9,0.6,1,1,0.4]
recall
0.835 [0.95,0.8,0.9,0.85,0.7,0.9,0.6,1,0.95,0.7]
recall
0.815 [1,0.7,1,0.9,0.55,0.9,0.25,1,1,0.85]
recall
0.765 [1,0.8,0.85,0.7,0.75,0.95,0.25,1,0.9,0.45]
relative_absolute_error
0.2500000000000003
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.26111111111111135
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
0.21213203435596426
root_mean_squared_error
0.1897366596101028
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.1897366596101028
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.21679483388678797
root_relative_squared_error
0.707106781186548
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.7226494462892937
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
2255.298636000134
usercpu_time_millis
2339.1439390002233
usercpu_time_millis
2412.5760219999393
usercpu_time_millis
3127.221926999937
usercpu_time_millis
3061.1496030001035
usercpu_time_millis
2995.929776000139
usercpu_time_millis
2987.168757999825
usercpu_time_millis
2997.3940360000597
usercpu_time_millis
2928.407493999657
usercpu_time_millis
3139.642752999862
usercpu_time_millis_testing
34.56700000015189
usercpu_time_millis_testing
33.9794010001242
usercpu_time_millis_testing
41.31038700006684
usercpu_time_millis_testing
41.05621799999426
usercpu_time_millis_testing
39.99211700011074
usercpu_time_millis_testing
40.81898499998715
usercpu_time_millis_testing
40.516213000046264
usercpu_time_millis_testing
40.273487999911595
usercpu_time_millis_testing
40.44243699991057
usercpu_time_millis_testing
34.282129000075656
usercpu_time_millis_training
2220.7316359999822
usercpu_time_millis_training
2305.164538000099
usercpu_time_millis_training
2371.2656349998724
usercpu_time_millis_training
3086.1657089999426
usercpu_time_millis_training
3021.157485999993
usercpu_time_millis_training
2955.110791000152
usercpu_time_millis_training
2946.652544999779
usercpu_time_millis_training
2957.120548000148
usercpu_time_millis_training
2887.9650569997466
usercpu_time_millis_training
3105.360623999786