8906531
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)
6843993
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
73.67504507898016
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.5601552066483784
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.03309584049028035
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.0017402868019979517
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
18728796
description
https://api.openml.org/data/download/18728796/description.xml
-1
18728797
predictions
https://api.openml.org/data/download/18728797/predictions.arff
area_under_roc_curve
0.9027777777777778 [0.9875,0.879722,0.968889,0.940278,0.921111,0.970833,0.722778,0.944444,0.986389,0.705833]
average_cost
0
f_measure
0.8247269052166388 [0.987342,0.793893,0.959184,0.901266,0.851485,0.920482,0.495098,0.882927,0.977444,0.478149]
kappa
0.8055555555555555
kb_relative_information_score
1633.9848783037173
mean_absolute_error
0.035000000000000225
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8251231357385422 [1,0.80829,0.979167,0.912821,0.843137,0.888372,0.485577,0.861905,0.979899,0.492063]
predictive_accuracy
0.825
prior_entropy
3.321928094887362
recall
0.825 [0.975,0.78,0.94,0.89,0.86,0.955,0.505,0.905,0.975,0.465]
relative_absolute_error
0.1944444444444397
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.18708286933869767
root_relative_squared_error
0.623609564462316
total_cost
0
area_under_roc_curve
0.888888888888889 [0.975,0.9,0.972222,0.925,0.916667,0.969444,0.622222,0.869444,0.997222,0.741667]
area_under_roc_curve
0.888888888888889 [0.975,0.888889,0.975,0.919444,0.883333,0.941667,0.675,0.913889,0.975,0.741667]
area_under_roc_curve
0.9 [0.95,0.861111,0.975,0.922222,0.961111,0.969444,0.716667,0.919444,1,0.725]
area_under_roc_curve
0.9305555555555556 [1,0.847222,0.975,0.963889,0.991667,0.972222,0.875,0.966667,0.975,0.738889]
area_under_roc_curve
0.886111111111111 [1,0.811111,0.95,0.894444,0.941667,0.991667,0.691667,0.911111,1,0.669444]
area_under_roc_curve
0.9138888888888889 [1,0.95,1,0.897222,0.886111,0.966667,0.747222,0.994444,1,0.697222]
area_under_roc_curve
0.911111111111111 [0.975,0.863889,0.95,0.966667,0.897222,0.961111,0.869444,0.988889,0.997222,0.641667]
area_under_roc_curve
0.913888888888889 [1,0.891667,0.947222,0.969444,0.897222,0.997222,0.766667,0.941667,0.972222,0.755556]
area_under_roc_curve
0.9222222222222222 [1,0.891667,1,0.997222,0.969444,0.975,0.608333,0.997222,1,0.783333]
area_under_roc_curve
0.8722222222222222 [1,0.891667,0.944444,0.947222,0.866667,0.963889,0.655556,0.941667,0.947222,0.563889]
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
0.7990619403571634 [0.974359,0.73913,0.95,0.918919,0.85,0.926829,0.333333,0.810811,0.97561,0.511628]
f_measure
0.8008153969356465 [0.974359,0.8,0.974359,0.871795,0.761905,0.878049,0.432432,0.829268,0.974359,0.511628]
f_measure
0.8217735730251775 [0.947368,0.75,0.974359,0.894737,0.863636,0.926829,0.47619,0.871795,1,0.512821]
f_measure
0.8716779747080704 [1,0.8,0.974359,0.883721,0.930233,0.95,0.711111,0.904762,0.974359,0.588235]
f_measure
0.7940770159177778 [1,0.684211,0.947368,0.842105,0.878049,0.930233,0.439024,0.809524,1,0.410256]
f_measure
0.8447987775330522 [1,0.947368,1,0.864865,0.780488,0.904762,0.536585,0.952381,1,0.461538]
f_measure
0.830356613037204 [0.974359,0.769231,0.947368,0.904762,0.864865,0.863636,0.680851,0.909091,0.97561,0.413793]
f_measure
0.8463344327208254 [1,0.820513,0.923077,0.926829,0.864865,0.97561,0.545455,0.878049,0.95,0.578947]
f_measure
0.8537167887187558 [1,0.820513,1,0.97561,0.926829,0.974359,0.322581,0.97561,1,0.541667]
f_measure
0.7697762641450134 [1,0.820513,0.9,0.923077,0.789474,0.883721,0.363636,0.878049,0.923077,0.216216]
kappa
0.7777777777777778
kappa
0.7777777777777778
kappa
0.7999999999999999
kappa
0.8611111111111112
kappa
0.7722222222222223
kappa
0.8277777777777777
kappa
0.8222222222222222
kappa
0.8277777777777777
kappa
0.8444444444444444
kappa
0.7444444444444445
kb_relative_information_score
158.16970037757324
kb_relative_information_score
158.16970037757324
kb_relative_information_score
162.35273033981585
kb_relative_information_score
173.8560627359831
kb_relative_information_score
157.1239428870126
kb_relative_information_score
167.58151779261917
kb_relative_information_score
166.5357603020585
kb_relative_information_score
167.58151779261917
kb_relative_information_score
170.71879026430113
kb_relative_information_score
151.89515543420927
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.02500000000000001
mean_absolute_error
0.041000000000000016
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.046
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
0.8046602821730698 [1,0.653846,0.95,1,0.85,0.904762,0.375,0.882353,0.952381,0.478261]
precision
0.8037525340903992 [1,0.8,1,0.894737,0.727273,0.857143,0.470588,0.809524,1,0.478261]
precision
0.8266471101997417 [1,0.75,1,0.944444,0.791667,0.904762,0.454545,0.894737,1,0.526316]
precision
0.8796907585168454 [1,0.933333,1,0.826087,0.869565,0.95,0.64,0.863636,1,0.714286]
precision
0.7960170518522922 [1,0.722222,1,0.888889,0.857143,0.869565,0.428571,0.772727,1,0.421053]
precision
0.8473302239556111 [1,1,1,0.941176,0.761905,0.863636,0.52381,0.909091,1,0.473684]
precision
0.8430926730075337 [1,0.789474,1,0.863636,0.941176,0.791667,0.592593,0.833333,0.952381,0.666667]
precision
0.8506046980195587 [1,0.842105,0.947368,0.904762,0.941176,0.952381,0.5,0.857143,0.95,0.611111]
precision
0.8570460241512872 [1,0.842105,1,0.952381,0.904762,1,0.454545,0.952381,1,0.464286]
precision
0.772203270324148 [1,0.842105,0.9,0.947368,0.833333,0.826087,0.333333,0.857143,0.947368,0.235294]
predictive_accuracy
0.8
predictive_accuracy
0.8
predictive_accuracy
0.82
predictive_accuracy
0.875
predictive_accuracy
0.795
predictive_accuracy
0.845
predictive_accuracy
0.84
predictive_accuracy
0.845
predictive_accuracy
0.86
predictive_accuracy
0.77
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
0.8 [0.95,0.85,0.95,0.85,0.85,0.95,0.3,0.75,1,0.55]
recall
0.8 [0.95,0.8,0.95,0.85,0.8,0.9,0.4,0.85,0.95,0.55]
recall
0.82 [0.9,0.75,0.95,0.85,0.95,0.95,0.5,0.85,1,0.5]
recall
0.875 [1,0.7,0.95,0.95,1,0.95,0.8,0.95,0.95,0.5]
recall
0.795 [1,0.65,0.9,0.8,0.9,1,0.45,0.85,1,0.4]
recall
0.845 [1,0.9,1,0.8,0.8,0.95,0.55,1,1,0.45]
recall
0.84 [0.95,0.75,0.9,0.95,0.8,0.95,0.8,1,1,0.3]
recall
0.845 [1,0.8,0.9,0.95,0.8,1,0.6,0.9,0.95,0.55]
recall
0.86 [1,0.8,1,1,0.95,0.95,0.25,1,1,0.65]
recall
0.77 [1,0.8,0.9,0.9,0.75,0.95,0.4,0.9,0.9,0.2]
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.1388888888888891
relative_absolute_error
0.2277777777777781
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.2555555555555558
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
0.20000000000000004
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.1897366596101028
root_mean_squared_error
0.158113883008419
root_mean_squared_error
0.20248456731316591
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.21447610589527216
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.5270462766947304
root_relative_squared_error
0.6749485577105534
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.714920352984241
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
3561.2169530004394
usercpu_time_millis
3763.403395999376
usercpu_time_millis
3791.355661000125
usercpu_time_millis
3772.1743780002726
usercpu_time_millis
3549.37155800053
usercpu_time_millis
3559.20929200056
usercpu_time_millis
3644.5258839994494
usercpu_time_millis
3373.839802000475
usercpu_time_millis
3183.6530430000494
usercpu_time_millis
3111.8755110001075
usercpu_time_millis_testing
40.705235000132234
usercpu_time_millis_testing
47.2151149997444
usercpu_time_millis_testing
46.979263999674004
usercpu_time_millis_testing
46.14617700008239
usercpu_time_millis_testing
46.7435230002593
usercpu_time_millis_testing
46.85561000042071
usercpu_time_millis_testing
48.25918099959381
usercpu_time_millis_testing
39.71647300022596
usercpu_time_millis_testing
40.69260500000382
usercpu_time_millis_testing
40.46751700025197
usercpu_time_millis_training
3520.511718000307
usercpu_time_millis_training
3716.1882809996314
usercpu_time_millis_training
3744.376397000451
usercpu_time_millis_training
3726.02820100019
usercpu_time_millis_training
3502.6280350002708
usercpu_time_millis_training
3512.353682000139
usercpu_time_millis_training
3596.2667029998556
usercpu_time_millis_training
3334.123329000249
usercpu_time_millis_training
3142.9604380000455
usercpu_time_millis_training
3071.4079939998555