8906722
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)
6844158
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
3.8159898931766802
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.3466028675152426
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.002304790948731819
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.0002434509480165194
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
18729176
description
https://api.openml.org/data/download/18729176/description.xml
-1
18729177
predictions
https://api.openml.org/data/download/18729177/predictions.arff
area_under_roc_curve
0.9102777777777776 [0.995,0.881944,0.9775,0.940278,0.898333,0.969167,0.7325,0.968611,0.986667,0.752778]
average_cost
0
f_measure
0.8378066548309584 [0.994975,0.780247,0.957606,0.901266,0.839378,0.942643,0.532637,0.903073,0.979899,0.546341]
kappa
0.8205555555555556
kb_relative_information_score
1662.2203305488524
mean_absolute_error
0.03230000000000019
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8382103459647385 [1,0.770732,0.955224,0.912821,0.870968,0.940299,0.557377,0.856502,0.984848,0.533333]
predictive_accuracy
0.8384999999999999
prior_entropy
3.321928094887362
recall
0.8385 [0.99,0.79,0.96,0.89,0.81,0.945,0.51,0.955,0.975,0.56]
relative_absolute_error
0.17944444444444
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1797220075561148
root_relative_squared_error
0.5990733585203736
total_cost
0
area_under_roc_curve
0.9055555555555554 [0.975,0.922222,0.972222,0.925,0.919444,1,0.675,0.944444,0.997222,0.725]
area_under_roc_curve
0.9083333333333333 [1,0.886111,0.972222,0.894444,0.891667,0.944444,0.711111,0.963889,0.975,0.844444]
area_under_roc_curve
0.9138888888888889 [1,0.883333,1,0.916667,0.961111,0.947222,0.777778,0.919444,1,0.733333]
area_under_roc_curve
0.925 [0.975,0.863889,0.975,0.994444,0.938889,0.944444,0.813889,0.919444,0.972222,0.852778]
area_under_roc_curve
0.8944444444444446 [1,0.813889,0.975,0.916667,0.891667,0.969444,0.677778,0.983333,1,0.716667]
area_under_roc_curve
0.9194444444444444 [1,0.894444,0.994444,0.919444,0.872222,0.994444,0.819444,0.994444,1,0.705556]
area_under_roc_curve
0.9055555555555556 [1,0.891667,0.95,0.969444,0.869444,0.969444,0.747222,0.983333,1,0.675]
area_under_roc_curve
0.9277777777777777 [1,0.886111,0.997222,0.944444,0.872222,0.972222,0.852778,0.991667,0.972222,0.788889]
area_under_roc_curve
0.913888888888889 [1,0.866667,0.997222,0.997222,0.894444,0.975,0.608333,0.994444,1,0.805556]
area_under_roc_curve
0.8888888888888888 [1,0.911111,0.941667,0.925,0.872222,0.975,0.641667,0.991667,0.95,0.680556]
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
0.828593546642327 [0.974359,0.75,0.95,0.918919,0.871795,1,0.432432,0.9,0.97561,0.512821]
f_measure
0.8332771470889658 [1,0.780488,0.95,0.842105,0.820513,0.9,0.529412,0.883721,0.974359,0.652174]
f_measure
0.8425968475968476 [1,0.761905,1,0.85,0.863636,0.923077,0.6,0.871795,1,0.555556]
f_measure
0.8649644520574753 [0.974359,0.769231,0.974359,0.952381,0.857143,0.9,0.702703,0.871795,0.95,0.697674]
f_measure
0.8064603903893405 [1,0.702703,0.974359,0.85,0.820513,0.926829,0.444444,0.869565,1,0.47619]
f_measure
0.852659854765118 [1,0.842105,0.952381,0.871795,0.833333,0.952381,0.622222,0.952381,1,0.5]
f_measure
0.8270933604639024 [1,0.820513,0.947368,0.926829,0.810811,0.926829,0.536585,0.869565,1,0.432432]
f_measure
0.8684004537719797 [1,0.780488,0.97561,0.9,0.833333,0.95,0.697674,0.930233,0.95,0.666667]
f_measure
0.8392119031464759 [1,0.789474,0.97561,0.97561,0.842105,0.974359,0.322581,0.952381,1,0.56]
f_measure
0.8050759154789366 [1,0.809524,0.878049,0.918919,0.833333,0.974359,0.358974,0.930233,0.947368,0.4]
kappa
0.8111111111111111
kappa
0.8166666666666667
kappa
0.8277777777777777
kappa
0.85
kappa
0.788888888888889
kappa
0.8388888888888889
kappa
0.8111111111111111
kappa
0.8555555555555555
kappa
0.8277777777777777
kappa
0.7777777777777778
kb_relative_information_score
164.4442453209372
kb_relative_information_score
165.49000281149785
kb_relative_information_score
167.58151779261917
kb_relative_information_score
171.7645477548618
kb_relative_information_score
160.26121535869456
kb_relative_information_score
169.67303277374046
kb_relative_information_score
164.4442453209372
kb_relative_information_score
172.81030524542246
kb_relative_information_score
167.58151779261917
kb_relative_information_score
158.16970037757324
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.02700000000000001
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.02600000000000001
mean_absolute_error
0.031000000000000014
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
0.8336878962111158 [1,0.642857,0.95,1,0.894737,1,0.470588,0.9,0.952381,0.526316]
precision
0.8388766090253504 [1,0.761905,0.95,0.888889,0.842105,0.9,0.642857,0.826087,1,0.576923]
precision
0.8436044657097288 [1,0.727273,1,0.85,0.791667,0.947368,0.6,0.894737,1,0.625]
precision
0.8678363048984936 [1,0.789474,1,0.909091,0.818182,0.9,0.764706,0.894737,0.95,0.652174]
precision
0.8085349274048964 [1,0.764706,1,0.85,0.842105,0.904762,0.5,0.769231,1,0.454545]
precision
0.8570898458266879 [1,0.888889,0.909091,0.894737,0.9375,0.909091,0.56,0.909091,1,0.5625]
precision
0.8297610542192586 [1,0.842105,1,0.904762,0.882353,0.904762,0.52381,0.769231,1,0.470588]
precision
0.8723524844720497 [1,0.761905,0.952381,0.9,0.9375,0.95,0.652174,0.869565,0.95,0.75]
precision
0.8457287157287159 [1,0.833333,0.952381,0.952381,0.888889,1,0.454545,0.909091,1,0.466667]
precision
0.8165356399893012 [1,0.772727,0.857143,1,0.9375,1,0.368421,0.869565,1,0.36]
predictive_accuracy
0.83
predictive_accuracy
0.835
predictive_accuracy
0.845
predictive_accuracy
0.865
predictive_accuracy
0.81
predictive_accuracy
0.855
predictive_accuracy
0.83
predictive_accuracy
0.87
predictive_accuracy
0.845
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
0.83 [0.95,0.9,0.95,0.85,0.85,1,0.4,0.9,1,0.5]
recall
0.835 [1,0.8,0.95,0.8,0.8,0.9,0.45,0.95,0.95,0.75]
recall
0.845 [1,0.8,1,0.85,0.95,0.9,0.6,0.85,1,0.5]
recall
0.865 [0.95,0.75,0.95,1,0.9,0.9,0.65,0.85,0.95,0.75]
recall
0.81 [1,0.65,0.95,0.85,0.8,0.95,0.4,1,1,0.5]
recall
0.855 [1,0.8,1,0.85,0.75,1,0.7,1,1,0.45]
recall
0.83 [1,0.8,0.9,0.95,0.75,0.95,0.55,1,1,0.4]
recall
0.87 [1,0.8,1,0.9,0.75,0.95,0.75,1,0.95,0.6]
recall
0.845 [1,0.75,1,1,0.8,0.95,0.25,1,1,0.7]
recall
0.8 [1,0.85,0.9,0.85,0.75,0.95,0.35,1,0.9,0.45]
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.15000000000000024
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.14444444444444465
relative_absolute_error
0.1722222222222225
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
0.1843908891458578
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.16431676725154987
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.16124515496597103
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.20000000000000004
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5477225575051665
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.5374838498865704
root_relative_squared_error
0.5868938953886341
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
3197.0557770000596
usercpu_time_millis
3461.726047000411
usercpu_time_millis
3165.3695570003038
usercpu_time_millis
3082.006523000018
usercpu_time_millis
2841.5954860001875
usercpu_time_millis
2976.8345749998844
usercpu_time_millis
2939.7693169994454
usercpu_time_millis
2866.247836999719
usercpu_time_millis
3565.837900000588
usercpu_time_millis
3280.3846699998758
usercpu_time_millis_testing
35.625294000055874
usercpu_time_millis_testing
34.419376000187185
usercpu_time_millis_testing
35.97869100030948
usercpu_time_millis_testing
35.20781400038686
usercpu_time_millis_testing
30.53024600012577
usercpu_time_millis_testing
29.7990219996791
usercpu_time_millis_testing
30.142390000037267
usercpu_time_millis_testing
36.34335100014141
usercpu_time_millis_testing
39.55297300035454
usercpu_time_millis_testing
38.247471999966365
usercpu_time_millis_training
3161.4304830000037
usercpu_time_millis_training
3427.306671000224
usercpu_time_millis_training
3129.3908659999943
usercpu_time_millis_training
3046.7987089996313
usercpu_time_millis_training
2811.0652400000617
usercpu_time_millis_training
2947.0355530002053
usercpu_time_millis_training
2909.626926999408
usercpu_time_millis_training
2829.9044859995774
usercpu_time_millis_training
3526.2849270002334
usercpu_time_millis_training
3242.1371979999094