8905947
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)
6843479
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
26.614569781600796
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.4867072170252864
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.013237090887644257
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
true
7650
tol
0.0008847669024861837
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
18727632
description
https://api.openml.org/data/download/18727632/description.xml
-1
18727633
predictions
https://api.openml.org/data/download/18727633/predictions.arff
area_under_roc_curve
0.9138888888888889 [0.9975,0.899722,0.978333,0.955278,0.916944,0.971944,0.736389,0.958056,0.988889,0.735833]
average_cost
0
f_measure
0.8449620278646948 [0.997494,0.817955,0.964824,0.917706,0.868895,0.947631,0.526316,0.905109,0.98,0.523691]
kappa
0.8277777777777777
kb_relative_information_score
1675.8151779261398
mean_absolute_error
0.03100000000000017
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.845203661763374 [1,0.81592,0.969697,0.915423,0.89418,0.945274,0.527638,0.881517,0.98,0.522388]
predictive_accuracy
0.845
prior_entropy
3.321928094887362
recall
0.845 [0.995,0.82,0.96,0.92,0.845,0.95,0.525,0.93,0.98,0.525]
relative_absolute_error
0.17222222222221784
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.17606816861659058
root_relative_squared_error
0.5868938953886262
total_cost
0
area_under_roc_curve
0.9194444444444444 [0.975,0.930556,0.997222,0.95,0.941667,0.975,0.752778,0.894444,0.997222,0.780556]
area_under_roc_curve
0.9027777777777777 [1,0.891667,0.975,0.941667,0.891667,0.947222,0.697222,0.963889,0.975,0.744444]
area_under_roc_curve
0.9166666666666667 [1,0.936111,1,0.922222,0.963889,0.972222,0.747222,0.922222,1,0.702778]
area_under_roc_curve
0.9472222222222223 [1,0.919444,0.975,0.991667,0.997222,0.975,0.880556,0.947222,0.975,0.811111]
area_under_roc_curve
0.8888888888888888 [1,0.833333,0.95,0.916667,0.897222,0.966667,0.647222,0.963889,1,0.713889]
area_under_roc_curve
0.9194444444444443 [1,0.919444,0.972222,0.919444,0.894444,0.994444,0.772222,0.994444,1,0.727778]
area_under_roc_curve
0.9166666666666667 [1,0.891667,0.95,0.966667,0.894444,0.969444,0.8,0.991667,0.997222,0.705556]
area_under_roc_curve
0.9305555555555555 [1,0.922222,0.997222,0.997222,0.894444,0.975,0.777778,0.966667,0.997222,0.777778]
area_under_roc_curve
0.9194444444444443 [1,0.894444,1,0.997222,0.947222,0.975,0.608333,0.994444,1,0.777778]
area_under_roc_curve
0.8777777777777779 [1,0.858333,0.966667,0.95,0.847222,0.969444,0.680556,0.941667,0.947222,0.616667]
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
0.8546947105098581 [0.974359,0.8,0.97561,0.947368,0.878049,0.974359,0.564103,0.842105,0.97561,0.615385]
f_measure
0.8259938208888862 [1,0.820513,0.974359,0.878049,0.820513,0.923077,0.461538,0.883721,0.974359,0.52381]
f_measure
0.8483475769108811 [1,0.837209,1,0.894737,0.883721,0.95,0.536585,0.894737,1,0.486486]
f_measure
0.9052187605013231 [1,0.871795,0.974359,0.930233,0.97561,0.974359,0.744186,0.923077,0.974359,0.684211]
f_measure
0.7994210778360105 [1,0.7,0.947368,0.85,0.864865,0.904762,0.378378,0.883721,1,0.465116]
f_measure
0.8538201272411798 [1,0.871795,0.95,0.871795,0.842105,0.952381,0.571429,0.952381,1,0.526316]
f_measure
0.8466467611062649 [1,0.820513,0.947368,0.904762,0.842105,0.926829,0.619048,0.930233,0.97561,0.5]
f_measure
0.8742792252676719 [1,0.894737,0.97561,0.97561,0.842105,0.974359,0.6,0.904762,0.97561,0.6]
f_measure
0.8510112514233596 [1,0.842105,1,0.97561,0.923077,0.974359,0.322581,0.952381,1,0.52]
f_measure
0.7827582088429328 [1,0.731707,0.904762,0.947368,0.8,0.926829,0.4,0.878049,0.923077,0.315789]
kappa
0.8388888888888889
kappa
0.8055555555555555
kappa
0.8333333333333333
kappa
0.8944444444444445
kappa
0.7777777777777778
kappa
0.8388888888888889
kappa
0.8333333333333333
kappa
0.8611111111111112
kappa
0.8388888888888889
kappa
0.7555555555555555
kb_relative_information_score
169.67303277374046
kb_relative_information_score
163.39848783037652
kb_relative_information_score
168.6272752831798
kb_relative_information_score
180.13060767934704
kb_relative_information_score
158.16970037757324
kb_relative_information_score
169.67303277374046
kb_relative_information_score
168.6272752831798
kb_relative_information_score
173.8560627359831
kb_relative_information_score
169.67303277374046
kb_relative_information_score
153.98667041533062
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.019000000000000006
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.02500000000000001
mean_absolute_error
0.029000000000000012
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
0.8581319966583123 [1,0.72,0.952381,1,0.857143,1,0.578947,0.888889,0.952381,0.631579]
precision
0.8288492971559333 [1,0.842105,1,0.857143,0.842105,0.947368,0.473684,0.826087,1,0.5]
precision
0.850080582957821 [1,0.782609,1,0.944444,0.826087,0.95,0.52381,0.944444,1,0.529412]
precision
0.9081925829065418 [1,0.894737,1,0.869565,0.952381,1,0.695652,0.947368,1,0.722222]
precision
0.8027447105324343 [1,0.7,1,0.85,0.941176,0.863636,0.411765,0.826087,1,0.434783]
precision
0.8547554492291334 [1,0.894737,0.95,0.894737,0.888889,0.909091,0.545455,0.909091,1,0.555556]
precision
0.8474747681126399 [1,0.842105,1,0.863636,0.888889,0.904762,0.590909,0.869565,0.952381,0.5625]
precision
0.8754112554112554 [1,0.944444,0.952381,0.952381,0.888889,1,0.6,0.863636,0.952381,0.6]
precision
0.8585607959292169 [1,0.888889,1,0.952381,0.947368,1,0.454545,0.909091,1,0.433333]
precision
0.7913861927546137 [1,0.714286,0.863636,1,0.933333,0.904762,0.36,0.857143,0.947368,0.333333]
predictive_accuracy
0.855
predictive_accuracy
0.825
predictive_accuracy
0.85
predictive_accuracy
0.905
predictive_accuracy
0.8
predictive_accuracy
0.855
predictive_accuracy
0.85
predictive_accuracy
0.875
predictive_accuracy
0.855
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
0.855 [0.95,0.9,1,0.9,0.9,0.95,0.55,0.8,1,0.6]
recall
0.825 [1,0.8,0.95,0.9,0.8,0.9,0.45,0.95,0.95,0.55]
recall
0.85 [1,0.9,1,0.85,0.95,0.95,0.55,0.85,1,0.45]
recall
0.905 [1,0.85,0.95,1,1,0.95,0.8,0.9,0.95,0.65]
recall
0.8 [1,0.7,0.9,0.85,0.8,0.95,0.35,0.95,1,0.5]
recall
0.855 [1,0.85,0.95,0.85,0.8,1,0.6,1,1,0.5]
recall
0.85 [1,0.8,0.9,0.95,0.8,0.95,0.65,1,1,0.45]
recall
0.875 [1,0.85,1,1,0.8,0.95,0.6,0.95,1,0.6]
recall
0.855 [1,0.8,1,1,0.9,0.95,0.25,1,1,0.65]
recall
0.78 [1,0.75,0.95,0.9,0.7,0.95,0.45,0.9,0.9,0.3]
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.10555555555555571
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.1388888888888891
relative_absolute_error
0.16111111111111134
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
0.17029386365926405
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.13784048752090225
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.158113883008419
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.20976176963403032
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.4594682917363411
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.5270462766947304
root_relative_squared_error
0.5676462121975472
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
3284.6854300000814
usercpu_time_millis
3181.747868000002
usercpu_time_millis
2987.2560169997087
usercpu_time_millis
2503.4062080003423
usercpu_time_millis
2508.9241259997834
usercpu_time_millis
2496.305085000131
usercpu_time_millis
2466.2408289996165
usercpu_time_millis
2751.5889229994173
usercpu_time_millis
2640.6189899998935
usercpu_time_millis
2629.6802879996903
usercpu_time_millis_testing
40.50254399999176
usercpu_time_millis_testing
39.968629000213696
usercpu_time_millis_testing
34.75197699981436
usercpu_time_millis_testing
33.81897000008394
usercpu_time_millis_testing
33.995347999734804
usercpu_time_millis_testing
33.88334200008103
usercpu_time_millis_testing
35.06958899970414
usercpu_time_millis_testing
33.661493999716185
usercpu_time_millis_testing
33.9006649996918
usercpu_time_millis_testing
33.692438999878505
usercpu_time_millis_training
3244.1828860000896
usercpu_time_millis_training
3141.7792389997885
usercpu_time_millis_training
2952.5040399998943
usercpu_time_millis_training
2469.5872380002584
usercpu_time_millis_training
2474.9287780000486
usercpu_time_millis_training
2462.42174300005
usercpu_time_millis_training
2431.1712399999124
usercpu_time_millis_training
2717.927428999701
usercpu_time_millis_training
2606.7183250002017
usercpu_time_millis_training
2595.987848999812