8906562
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)
6844020
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
7.224360341058035
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.39264349271189813
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.004093591530213315
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
true
7650
tol
0.0003720265808849293
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
18728856
description
https://api.openml.org/data/download/18728856/description.xml
-1
18728857
predictions
https://api.openml.org/data/download/18728857/predictions.arff
area_under_roc_curve
0.911111111111111 [0.9975,0.882222,0.975,0.950833,0.907778,0.97,0.726111,0.968611,0.986389,0.746667]
average_cost
0
f_measure
0.8395644335217498 [0.997494,0.796954,0.955,0.916877,0.846939,0.949749,0.518135,0.903073,0.977444,0.533981]
kappa
0.8222222222222222
kb_relative_information_score
1665.3576030205338
mean_absolute_error
0.03200000000000019
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8400169079184913 [1,0.809278,0.955,0.923858,0.864583,0.954545,0.537634,0.856502,0.979899,0.518868]
predictive_accuracy
0.84
prior_entropy
3.321928094887362
recall
0.84 [0.995,0.785,0.955,0.91,0.83,0.945,0.5,0.955,0.975,0.55]
relative_absolute_error
0.17777777777777334
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1788854381999837
root_relative_squared_error
0.5962847939999366
total_cost
0
area_under_roc_curve
0.9055555555555554 [0.975,0.930556,0.972222,0.925,0.936111,0.975,0.697222,0.944444,0.997222,0.702778]
area_under_roc_curve
0.9111111111111111 [1,0.911111,0.972222,0.894444,0.916667,0.947222,0.730556,0.966667,0.975,0.797222]
area_under_roc_curve
0.9138888888888889 [1,0.911111,1,0.919444,0.958333,0.947222,0.775,0.919444,1,0.708333]
area_under_roc_curve
0.9444444444444445 [1,0.894444,0.975,0.994444,0.991667,0.975,0.769444,0.947222,0.975,0.922222]
area_under_roc_curve
0.8972222222222221 [1,0.816667,0.975,0.941667,0.872222,0.969444,0.694444,0.983333,1,0.719444]
area_under_roc_curve
0.9055555555555556 [1,0.866667,0.969444,0.916667,0.872222,0.994444,0.722222,0.994444,1,0.719444]
area_under_roc_curve
0.9055555555555554 [1,0.891667,0.95,0.972222,0.869444,0.969444,0.747222,0.983333,0.997222,0.675]
area_under_roc_curve
0.9305555555555556 [1,0.894444,0.997222,0.997222,0.894444,0.975,0.827778,0.966667,0.972222,0.780556]
area_under_roc_curve
0.911111111111111 [1,0.844444,0.997222,0.997222,0.919444,0.975,0.608333,0.991667,1,0.777778]
area_under_roc_curve
0.8861111111111112 [1,0.861111,0.941667,0.95,0.847222,0.972222,0.688889,0.988889,0.947222,0.663889]
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
0.8278480874084957 [0.974359,0.8,0.95,0.918919,0.837209,0.974359,0.461538,0.9,0.97561,0.486486]
f_measure
0.8399018578210744 [1,0.809524,0.95,0.842105,0.85,0.923077,0.540541,0.904762,0.974359,0.604651]
f_measure
0.8420286488579172 [1,0.809524,1,0.871795,0.844444,0.923077,0.585366,0.871795,1,0.514286]
f_measure
0.8987539286498893 [1,0.842105,0.974359,0.952381,0.930233,0.974359,0.666667,0.923077,0.974359,0.75]
f_measure
0.8142162674135102 [1,0.722222,0.974359,0.878049,0.833333,0.926829,0.45,0.869565,1,0.487805]
f_measure
0.8292203068647227 [1,0.789474,0.926829,0.85,0.833333,0.952381,0.5,0.952381,1,0.487805]
f_measure
0.8269714092443902 [1,0.820513,0.947368,0.95,0.810811,0.926829,0.536585,0.869565,0.97561,0.432432]
f_measure
0.8746602199683073 [1,0.842105,0.97561,0.97561,0.842105,0.974359,0.666667,0.904762,0.95,0.615385]
f_measure
0.8347964339427573 [1,0.777778,0.97561,0.97561,0.871795,0.974359,0.322581,0.930233,1,0.52]
f_measure
0.7976400364718721 [1,0.75,0.878049,0.947368,0.8,0.95,0.428571,0.909091,0.923077,0.390244]
kappa
0.8111111111111111
kappa
0.8222222222222222
kappa
0.8277777777777777
kappa
0.888888888888889
kappa
0.7944444444444444
kappa
0.8111111111111111
kappa
0.8111111111111111
kappa
0.8611111111111112
kappa
0.8222222222222222
kappa
0.7722222222222223
kb_relative_information_score
164.4442453209372
kb_relative_information_score
166.5357603020585
kb_relative_information_score
167.58151779261917
kb_relative_information_score
179.0848501887864
kb_relative_information_score
161.3069728492552
kb_relative_information_score
164.4442453209372
kb_relative_information_score
164.4442453209372
kb_relative_information_score
173.8560627359831
kb_relative_information_score
166.5357603020585
kb_relative_information_score
157.1239428870126
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.020000000000000004
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.02500000000000001
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.041000000000000016
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
0.8308085623265324 [1,0.72,0.95,1,0.782609,1,0.473684,0.9,0.952381,0.529412]
precision
0.8426073631727152 [1,0.772727,0.95,0.888889,0.85,0.947368,0.588235,0.863636,1,0.565217]
precision
0.8440997949419002 [1,0.772727,1,0.894737,0.76,0.947368,0.571429,0.894737,1,0.6]
precision
0.9103924425434724 [1,0.888889,1,0.909091,0.869565,1,0.846154,0.947368,1,0.642857]
precision
0.8207326007326007 [1,0.8125,1,0.857143,0.9375,0.904762,0.45,0.769231,1,0.47619]
precision
0.8319967532467533 [1,0.833333,0.904762,0.85,0.9375,0.909091,0.5,0.909091,1,0.47619]
precision
0.8295229589811633 [1,0.842105,1,0.95,0.882353,0.904762,0.52381,0.769231,0.952381,0.470588]
precision
0.8764118629908103 [1,0.888889,0.952381,0.952381,0.888889,1,0.636364,0.863636,0.95,0.631579]
precision
0.843194275213726 [1,0.875,0.952381,0.952381,0.894737,1,0.454545,0.869565,1,0.433333]
precision
0.8061221234905446 [1,0.75,0.857143,1,0.933333,0.95,0.409091,0.833333,0.947368,0.380952]
predictive_accuracy
0.83
predictive_accuracy
0.84
predictive_accuracy
0.845
predictive_accuracy
0.9
predictive_accuracy
0.815
predictive_accuracy
0.83
predictive_accuracy
0.83
predictive_accuracy
0.875
predictive_accuracy
0.84
predictive_accuracy
0.795
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 [0.95,0.9,0.95,0.85,0.9,0.95,0.45,0.9,1,0.45]
recall
0.84 [1,0.85,0.95,0.8,0.85,0.9,0.5,0.95,0.95,0.65]
recall
0.845 [1,0.85,1,0.85,0.95,0.9,0.6,0.85,1,0.45]
recall
0.9 [1,0.8,0.95,1,1,0.95,0.55,0.9,0.95,0.9]
recall
0.815 [1,0.65,0.95,0.9,0.75,0.95,0.45,1,1,0.5]
recall
0.83 [1,0.75,0.95,0.85,0.75,1,0.5,1,1,0.5]
recall
0.83 [1,0.8,0.9,0.95,0.75,0.95,0.55,1,1,0.4]
recall
0.875 [1,0.8,1,1,0.8,0.95,0.7,0.95,0.95,0.6]
recall
0.84 [1,0.7,1,1,0.85,0.95,0.25,1,1,0.65]
recall
0.795 [1,0.75,0.9,0.9,0.7,0.95,0.45,1,0.9,0.4]
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.11111111111111127
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.1388888888888891
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.2277777777777781
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
0.1788854381999832
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.14142135623730953
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.158113883008419
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.20248456731316591
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.47140452079103207
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.5270462766947304
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.6749485577105534
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
2512.3633700004575
usercpu_time_millis
2434.2443840005217
usercpu_time_millis
2473.4528730004968
usercpu_time_millis
2594.955093999488
usercpu_time_millis
3325.975844999448
usercpu_time_millis
3108.887973000492
usercpu_time_millis
3291.0688140000275
usercpu_time_millis
3406.110889000047
usercpu_time_millis
3299.416956000641
usercpu_time_millis
3081.6416250008842
usercpu_time_millis_testing
31.315516000177013
usercpu_time_millis_testing
28.64981400034594
usercpu_time_millis_testing
28.99799399983749
usercpu_time_millis_testing
29.128713000318385
usercpu_time_millis_testing
33.81018700019922
usercpu_time_millis_testing
34.214900000733905
usercpu_time_millis_testing
36.83556400028465
usercpu_time_millis_testing
33.40433399989706
usercpu_time_millis_testing
34.10993000034068
usercpu_time_millis_testing
35.76119900026242
usercpu_time_millis_training
2481.0478540002805
usercpu_time_millis_training
2405.5945700001757
usercpu_time_millis_training
2444.4548790006593
usercpu_time_millis_training
2565.8263809991695
usercpu_time_millis_training
3292.1656579992487
usercpu_time_millis_training
3074.673072999758
usercpu_time_millis_training
3254.233249999743
usercpu_time_millis_training
3372.70655500015
usercpu_time_millis_training
3265.3070260003005
usercpu_time_millis_training
3045.880426000622