8905768
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)
6843320
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
1.8270799615013913
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.29347698871899086
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.001187864339166516
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.00014924780576738346
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
18727280
description
https://api.openml.org/data/download/18727280/description.xml
-1
18727281
predictions
https://api.openml.org/data/download/18727281/predictions.arff
area_under_roc_curve
0.8955555555555557 [0.995,0.862222,0.964722,0.915278,0.861111,0.949722,0.693611,0.9575,0.986111,0.770278]
average_cost
0
f_measure
0.8105937333899643 [0.994975,0.730769,0.942065,0.872727,0.778947,0.907731,0.481586,0.86836,0.975,0.553776]
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
0.8136716281082164 [1,0.703704,0.949239,0.908108,0.822222,0.905473,0.555556,0.806867,0.975,0.510549]
predictive_accuracy
0.812
prior_entropy
3.321928094887362
recall
0.812 [0.99,0.76,0.935,0.84,0.74,0.91,0.425,0.94,0.975,0.605]
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
0.8833333333333334 [0.975,0.916667,0.972222,0.9,0.922222,1,0.547222,0.891667,0.997222,0.711111]
area_under_roc_curve
0.8972222222222221 [1,0.891667,0.969444,0.922222,0.813889,0.938889,0.711111,0.933333,0.972222,0.819444]
area_under_roc_curve
0.9055555555555556 [1,0.855556,0.975,0.888889,0.911111,0.947222,0.733333,0.916667,1,0.827778]
area_under_roc_curve
0.9111111111111111 [0.975,0.838889,0.975,0.969444,0.908333,0.941667,0.788889,0.916667,0.972222,0.825]
area_under_roc_curve
0.8916666666666667 [1,0.788889,0.975,0.916667,0.861111,0.941667,0.708333,0.980556,1,0.744444]
area_under_roc_curve
0.8972222222222223 [1,0.886111,0.994444,0.897222,0.869444,0.947222,0.675,0.991667,1,0.711111]
area_under_roc_curve
0.8888888888888888 [1,0.858333,0.925,0.941667,0.819444,0.913889,0.752778,0.980556,1,0.697222]
area_under_roc_curve
0.9166666666666667 [1,0.877778,0.947222,0.919444,0.872222,0.947222,0.808333,0.991667,0.972222,0.830556]
area_under_roc_curve
0.8916666666666666 [1,0.833333,0.997222,0.947222,0.763889,0.944444,0.611111,0.986111,1,0.833333]
area_under_roc_curve
0.872222222222222 [1,0.875,0.916667,0.85,0.869444,0.975,0.6,0.986111,0.947222,0.702778]
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
0.7860470918327144 [0.974359,0.72,0.95,0.888889,0.894737,1,0.181818,0.820513,0.97561,0.454545]
f_measure
0.812174029586625 [1,0.820513,0.926829,0.894737,0.702703,0.857143,0.529412,0.818182,0.95,0.622222]
f_measure
0.8293467643467644 [1,0.714286,0.974359,0.8,0.809524,0.923077,0.555556,0.85,1,0.666667]
f_measure
0.839896523454454 [0.974359,0.736842,0.974359,0.926829,0.790698,0.878049,0.666667,0.85,0.95,0.651163]
f_measure
0.8008233489395918 [1,0.666667,0.974359,0.85,0.75,0.878049,0.514286,0.851064,1,0.52381]
f_measure
0.8148831801129022 [1,0.780488,0.952381,0.864865,0.810811,0.923077,0.432432,0.930233,1,0.454545]
f_measure
0.7977505307448225 [1,0.731707,0.918919,0.878049,0.742857,0.829268,0.564103,0.851064,1,0.461538]
f_measure
0.8508380832629274 [1,0.727273,0.923077,0.871795,0.833333,0.923077,0.666667,0.930233,0.95,0.682927]
f_measure
0.7949480329968135 [1,0.7,0.97561,0.923077,0.628571,0.9,0.333333,0.888889,1,0.6]
f_measure
0.7701425681963854 [1,0.711111,0.85,0.823529,0.810811,0.974359,0.294118,0.888889,0.923077,0.425532]
kappa
0.7666666666666667
kappa
0.7944444444444444
kappa
0.8111111111111111
kappa
0.8222222222222222
kappa
0.7833333333333334
kappa
0.7944444444444444
kappa
0.7777777777777778
kappa
0.8333333333333333
kappa
0.7833333333333334
kappa
0.7444444444444445
kb_relative_information_score
156.07818539645191
kb_relative_information_score
161.3069728492552
kb_relative_information_score
164.4442453209372
kb_relative_information_score
166.5357603020585
kb_relative_information_score
159.21545786813388
kb_relative_information_score
161.3069728492552
kb_relative_information_score
158.16970037757324
kb_relative_information_score
168.6272752831798
kb_relative_information_score
159.21545786813388
kb_relative_information_score
151.89515543420927
mean_absolute_error
0.04200000000000001
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.03900000000000002
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
0.7936366557419189 [1,0.6,0.95,1,0.944444,1,0.230769,0.842105,0.952381,0.416667]
precision
0.8177056455756145 [1,0.842105,0.904762,0.944444,0.764706,0.818182,0.642857,0.75,0.95,0.56]
precision
0.8313277511961722 [1,0.681818,1,0.8,0.772727,0.947368,0.625,0.85,1,0.636364]
precision
0.8437508626639061 [1,0.777778,1,0.904762,0.73913,0.857143,0.75,0.85,0.95,0.608696]
precision
0.8047883597883597 [1,0.75,1,0.85,0.75,0.857143,0.6,0.740741,1,0.5]
precision
0.8198713623165098 [1,0.761905,0.909091,0.941176,0.882353,0.947368,0.470588,0.869565,1,0.416667]
precision
0.8040991367307158 [1,0.714286,1,0.857143,0.866667,0.809524,0.578947,0.740741,1,0.473684]
precision
0.8564082761250954 [1,0.666667,0.947368,0.894737,0.9375,0.947368,0.684211,0.869565,0.95,0.666667]
precision
0.8033082706766917 [1,0.7,0.952381,0.947368,0.733333,0.9,0.5,0.8,1,0.5]
precision
0.7847234589742329 [1,0.64,0.85,1,0.882353,1,0.357143,0.8,0.947368,0.37037]
predictive_accuracy
0.79
predictive_accuracy
0.815
predictive_accuracy
0.83
predictive_accuracy
0.84
predictive_accuracy
0.805
predictive_accuracy
0.815
predictive_accuracy
0.8
predictive_accuracy
0.85
predictive_accuracy
0.805
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
0.79 [0.95,0.9,0.95,0.8,0.85,1,0.15,0.8,1,0.5]
recall
0.815 [1,0.8,0.95,0.85,0.65,0.9,0.45,0.9,0.95,0.7]
recall
0.83 [1,0.75,0.95,0.8,0.85,0.9,0.5,0.85,1,0.7]
recall
0.84 [0.95,0.7,0.95,0.95,0.85,0.9,0.6,0.85,0.95,0.7]
recall
0.805 [1,0.6,0.95,0.85,0.75,0.9,0.45,1,1,0.55]
recall
0.815 [1,0.8,1,0.8,0.75,0.9,0.4,1,1,0.5]
recall
0.8 [1,0.75,0.85,0.9,0.65,0.85,0.55,1,1,0.45]
recall
0.85 [1,0.8,0.9,0.85,0.75,0.9,0.65,1,0.95,0.7]
recall
0.805 [1,0.7,1,0.9,0.55,0.9,0.25,1,1,0.75]
recall
0.77 [1,0.8,0.85,0.7,0.75,0.95,0.25,1,0.9,0.5]
relative_absolute_error
0.23333333333333364
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.21666666666666703
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
0.20493901531919198
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.21447610589527216
root_relative_squared_error
0.6831300510639737
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.6582805886043839
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
2606.6880529999708
usercpu_time_millis
2964.1702479998457
usercpu_time_millis
3007.5121090001176
usercpu_time_millis
2974.4136589999925
usercpu_time_millis
3006.999661000009
usercpu_time_millis
2978.207884000085
usercpu_time_millis
2982.2216609998122
usercpu_time_millis
3089.9062060000233
usercpu_time_millis
3038.535855999953
usercpu_time_millis
3022.1643350000704
usercpu_time_millis_testing
32.358652000084476
usercpu_time_millis_testing
39.00842400003057
usercpu_time_millis_testing
39.471261000016966
usercpu_time_millis_testing
38.961507000067286
usercpu_time_millis_testing
38.2817449999493
usercpu_time_millis_testing
39.17974199998753
usercpu_time_millis_testing
39.50678000001062
usercpu_time_millis_testing
39.572957000018505
usercpu_time_millis_testing
38.01669399990715
usercpu_time_millis_testing
38.638809000076435
usercpu_time_millis_training
2574.3294009998863
usercpu_time_millis_training
2925.161823999815
usercpu_time_millis_training
2968.0408480001006
usercpu_time_millis_training
2935.4521519999253
usercpu_time_millis_training
2968.7179160000596
usercpu_time_millis_training
2939.0281420000974
usercpu_time_millis_training
2942.7148809998016
usercpu_time_millis_training
3050.333249000005
usercpu_time_millis_training
3000.519162000046
usercpu_time_millis_training
2983.525525999994