8906718
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)
6844154
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
13.540895661288681
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.43796256319430993
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.007205559322604372
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.0005647422148894381
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
18729168
description
https://api.openml.org/data/download/18729168/description.xml
-1
18729169
predictions
https://api.openml.org/data/download/18729169/predictions.arff
area_under_roc_curve
0.9152777777777779 [0.9975,0.896389,0.976111,0.9525,0.913611,0.964722,0.755833,0.954722,0.986389,0.755]
average_cost
0
f_measure
0.8477136760881975 [0.997494,0.808933,0.964646,0.912718,0.859335,0.942065,0.561404,0.895884,0.977444,0.557214]
kappa
0.8305555555555556
kb_relative_information_score
1681.0439653789426
mean_absolute_error
0.030500000000000162
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8482426566972409 [1,0.802956,0.97449,0.910448,0.879581,0.949239,0.562814,0.868545,0.979899,0.554455]
predictive_accuracy
0.8475
prior_entropy
3.321928094887362
recall
0.8475 [0.995,0.815,0.955,0.915,0.84,0.935,0.56,0.925,0.975,0.56]
relative_absolute_error
0.16944444444444012
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17464249196573028
root_relative_squared_error
0.5821416398857587
total_cost
0
area_under_roc_curve
0.9250000000000002 [0.975,0.930556,0.997222,0.95,0.963889,0.975,0.780556,0.897222,0.997222,0.783333]
area_under_roc_curve
0.8944444444444444 [1,0.858333,0.95,0.891667,0.888889,0.947222,0.722222,0.963889,0.975,0.747222]
area_under_roc_curve
0.9166666666666667 [1,0.938889,1,0.919444,0.961111,0.947222,0.747222,0.947222,1,0.705556]
area_under_roc_curve
0.9499999999999998 [1,0.919444,0.975,0.991667,0.997222,0.975,0.861111,0.947222,0.975,0.858333]
area_under_roc_curve
0.8888888888888888 [1,0.836111,0.95,0.941667,0.869444,0.916667,0.672222,0.961111,1,0.741667]
area_under_roc_curve
0.9222222222222222 [1,0.916667,0.972222,0.919444,0.872222,0.994444,0.777778,0.994444,1,0.775]
area_under_roc_curve
0.9138888888888888 [1,0.894444,0.95,0.966667,0.894444,0.969444,0.819444,0.988889,0.997222,0.658333]
area_under_roc_curve
0.9333333333333332 [1,0.894444,0.997222,0.997222,0.919444,0.975,0.830556,0.941667,0.972222,0.805556]
area_under_roc_curve
0.9194444444444444 [1,0.894444,1,0.997222,0.925,0.975,0.633333,0.988889,1,0.780556]
area_under_roc_curve
0.888888888888889 [1,0.880556,0.969444,0.95,0.844444,0.972222,0.713889,0.916667,0.947222,0.694444]
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
0.864285523981616 [0.974359,0.8,0.97561,0.947368,0.883721,0.974359,0.615385,0.864865,0.97561,0.631579]
f_measure
0.8117330752160737 [1,0.731707,0.947368,0.820513,0.8,0.923077,0.5,0.883721,0.974359,0.536585]
f_measure
0.8475313304581598 [1,0.857143,1,0.871795,0.863636,0.923077,0.536585,0.923077,1,0.5]
f_measure
0.9105498349258984 [1,0.871795,0.974359,0.930233,0.97561,0.974359,0.75,0.923077,0.974359,0.731707]
f_measure
0.8000493632492021 [1,0.717949,0.947368,0.878049,0.810811,0.85,0.421053,0.863636,1,0.511628]
f_measure
0.8595255963548647 [1,0.85,0.95,0.871795,0.833333,0.952381,0.6,0.952381,1,0.585366]
f_measure
0.8394335432076124 [1,0.842105,0.947368,0.904762,0.842105,0.926829,0.622222,0.909091,0.97561,0.424242]
f_measure
0.880045423126296 [1,0.842105,0.97561,0.97561,0.871795,0.974359,0.682927,0.878049,0.95,0.65]
f_measure
0.8525696066522217 [1,0.842105,1,0.97561,0.918919,0.974359,0.375,0.909091,1,0.530612]
f_measure
0.803435471578141 [1,0.744186,0.926829,0.947368,0.777778,0.95,0.465116,0.85,0.923077,0.45]
kappa
0.85
kappa
0.788888888888889
kappa
0.8333333333333333
kappa
0.9
kappa
0.7777777777777778
kappa
0.8444444444444444
kappa
0.8277777777777777
kappa
0.8666666666666667
kappa
0.8388888888888889
kappa
0.7777777777777778
kb_relative_information_score
171.7645477548618
kb_relative_information_score
160.26121535869456
kb_relative_information_score
168.6272752831798
kb_relative_information_score
181.17636516990774
kb_relative_information_score
158.16970037757324
kb_relative_information_score
170.71879026430113
kb_relative_information_score
167.58151779261917
kb_relative_information_score
174.90182022654378
kb_relative_information_score
169.67303277374046
kb_relative_information_score
158.16970037757324
mean_absolute_error
0.02700000000000001
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.018000000000000006
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.024000000000000007
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.040000000000000015
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
0.8690270945906967 [1,0.72,0.952381,1,0.826087,1,0.631579,0.941176,0.952381,0.666667]
precision
0.8153655878827505 [1,0.714286,1,0.842105,0.8,0.947368,0.5,0.826087,1,0.52381]
precision
0.8485631692868535 [1,0.818182,1,0.894737,0.791667,0.947368,0.52381,0.947368,1,0.5625]
precision
0.9128337147215866 [1,0.894737,1,0.869565,0.952381,1,0.75,0.947368,1,0.714286]
precision
0.8040709884258814 [1,0.736842,1,0.857143,0.882353,0.85,0.444444,0.791667,1,0.478261]
precision
0.8621847231715652 [1,0.85,0.95,0.894737,0.9375,0.909091,0.6,0.909091,1,0.571429]
precision
0.8430351870351871 [1,0.888889,1,0.863636,0.888889,0.904762,0.56,0.833333,0.952381,0.538462]
precision
0.8812197159565581 [1,0.888889,0.952381,0.952381,0.894737,1,0.666667,0.857143,0.95,0.65]
precision
0.862287903667214 [1,0.888889,1,0.952381,1,1,0.5,0.833333,1,0.448276]
precision
0.8107565108423231 [1,0.695652,0.904762,1,0.875,0.95,0.434783,0.85,0.947368,0.45]
predictive_accuracy
0.865
predictive_accuracy
0.81
predictive_accuracy
0.85
predictive_accuracy
0.91
predictive_accuracy
0.8
predictive_accuracy
0.86
predictive_accuracy
0.845
predictive_accuracy
0.88
predictive_accuracy
0.855
predictive_accuracy
0.8
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
0.865 [0.95,0.9,1,0.9,0.95,0.95,0.6,0.8,1,0.6]
recall
0.81 [1,0.75,0.9,0.8,0.8,0.9,0.5,0.95,0.95,0.55]
recall
0.85 [1,0.9,1,0.85,0.95,0.9,0.55,0.9,1,0.45]
recall
0.91 [1,0.85,0.95,1,1,0.95,0.75,0.9,0.95,0.75]
recall
0.8 [1,0.7,0.9,0.9,0.75,0.85,0.4,0.95,1,0.55]
recall
0.86 [1,0.85,0.95,0.85,0.75,1,0.6,1,1,0.6]
recall
0.845 [1,0.8,0.9,0.95,0.8,0.95,0.7,1,1,0.35]
recall
0.88 [1,0.8,1,1,0.85,0.95,0.7,0.9,0.95,0.65]
recall
0.855 [1,0.8,1,1,0.85,0.95,0.3,1,1,0.65]
recall
0.8 [1,0.8,0.95,0.9,0.7,0.95,0.5,0.85,0.9,0.45]
relative_absolute_error
0.15000000000000024
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.10000000000000014
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.13333333333333353
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.22222222222222257
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
0.16431676725154987
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.1341640786499874
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.1549193338482967
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.20000000000000004
root_relative_squared_error
0.5477225575051665
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.44721359549995826
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5163977794943226
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.6666666666666672
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
3115.7260319996567
usercpu_time_millis
3420.264536999639
usercpu_time_millis
3417.092008000509
usercpu_time_millis
2901.9352780005647
usercpu_time_millis
2704.8552870001004
usercpu_time_millis
2747.2644980007317
usercpu_time_millis
2817.352369999753
usercpu_time_millis
3289.2752770003426
usercpu_time_millis
3638.6452209999334
usercpu_time_millis
3585.796049000237
usercpu_time_millis_testing
33.13003499988554
usercpu_time_millis_testing
38.08736399969348
usercpu_time_millis_testing
39.22199000044202
usercpu_time_millis_testing
35.19778800000495
usercpu_time_millis_testing
31.353561999821977
usercpu_time_millis_testing
32.49862800021219
usercpu_time_millis_testing
35.53978699983418
usercpu_time_millis_testing
42.480721000174526
usercpu_time_millis_testing
36.80104399973061
usercpu_time_millis_testing
37.24792800039722
usercpu_time_millis_training
3082.595996999771
usercpu_time_millis_training
3382.1771729999455
usercpu_time_millis_training
3377.870018000067
usercpu_time_millis_training
2866.73749000056
usercpu_time_millis_training
2673.5017250002784
usercpu_time_millis_training
2714.7658700005195
usercpu_time_millis_training
2781.812582999919
usercpu_time_millis_training
3246.794556000168
usercpu_time_millis_training
3601.8441770002028
usercpu_time_millis_training
3548.5481209998397