8906192
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)
6843695
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
964.7661419192503
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.7457017733548695
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.3350926436808178
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.009611852406203675
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
18728120
description
https://api.openml.org/data/download/18728120/description.xml
-1
18728121
predictions
https://api.openml.org/data/download/18728121/predictions.arff
area_under_roc_curve
0.5974999999999999 [0.765,0.568611,0.691944,0.519167,0.591667,0.51,0.512778,0.604167,0.6775,0.534167]
average_cost
0
f_measure
0.2947525355107772 [0.69281,0.240343,0.551971,0.150659,0.21745,0.039216,0.056075,0.342857,0.523985,0.132159]
kappa
0.195
kb_relative_information_score
484.69739617758484
mean_absolute_error
0.14489999999999606
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.6987056027047951 [1,0.848485,0.974684,0.120846,0.125581,1,0.428571,0.933333,1,0.555556]
predictive_accuracy
0.2755
prior_entropy
3.321928094887362
recall
0.2755 [0.53,0.14,0.385,0.2,0.81,0.02,0.03,0.21,0.355,0.075]
relative_absolute_error
0.8049999999999532
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.3806573262134804
root_relative_squared_error
1.2688577540449153
total_cost
0
area_under_roc_curve
0.5805555555555556 [0.775,0.591667,0.675,0.5,0.588889,0.525,0.525,0.525,0.6,0.5]
area_under_roc_curve
0.6277777777777778 [0.825,0.547222,0.75,0.5,0.636111,0.5,0.522222,0.697222,0.75,0.55]
area_under_roc_curve
0.6083333333333334 [0.75,0.622222,0.672222,0.5,0.616667,0.525,0.525,0.625,0.725,0.522222]
area_under_roc_curve
0.586111111111111 [0.725,0.525,0.672222,0.5,0.6,0.525,0.525,0.572222,0.65,0.566667]
area_under_roc_curve
0.5777777777777777 [0.7,0.575,0.6,0.591667,0.522222,0.525,0.497222,0.597222,0.675,0.494444]
area_under_roc_curve
0.6 [0.8,0.6,0.7,0.5,0.608333,0.5,0.494444,0.6,0.675,0.522222]
area_under_roc_curve
0.6138888888888888 [0.775,0.575,0.8,0.5,0.619444,0.5,0.5,0.6,0.675,0.594444]
area_under_roc_curve
0.6055555555555556 [0.8,0.6,0.7,0.5,0.611111,0.5,0.519444,0.7,0.6,0.525]
area_under_roc_curve
0.5944444444444444 [0.75,0.55,0.675,0.6,0.522222,0.5,0.497222,0.575,0.75,0.525]
area_under_roc_curve
0.5805555555555556 [0.75,0.5,0.675,0.5,0.591667,0.5,0.522222,0.55,0.675,0.541667]
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
0.2404200917960509 [0.571429,0.26087,0.333333,0.213904,0.090909,0.095238,0,0.32,0.518519,0]
kappa
0.1611111111111111
kappa
0.25555555555555554
kappa
0.21666666666666665
kappa
0.17222222222222222
kappa
0.15555555555555553
kappa
0.2
kappa
0.22777777777777775
kappa
0.21111111111111108
kappa
0.18888888888888888
kappa
0.1611111111111111
kb_relative_information_score
42.090618925338205
kb_relative_information_score
59.86849626486971
kb_relative_information_score
52.548193830944975
kb_relative_information_score
44.182133906459505
kb_relative_information_score
41.04486143477754
kb_relative_information_score
49.410921359262936
kb_relative_information_score
54.63970881206629
kb_relative_information_score
51.502436340384314
kb_relative_information_score
47.31940637814159
kb_relative_information_score
42.090618925338134
mean_absolute_error
0.15099999999999963
mean_absolute_error
0.13399999999999967
mean_absolute_error
0.14099999999999965
mean_absolute_error
0.14899999999999963
mean_absolute_error
0.1519999999999996
mean_absolute_error
0.14399999999999966
mean_absolute_error
0.13899999999999968
mean_absolute_error
0.14199999999999965
mean_absolute_error
0.14599999999999963
mean_absolute_error
0.15099999999999963
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
0.6419760479041916 [1,1,1,0.11976,0.5,1,0,0.8,1,0]
predictive_accuracy
0.245
predictive_accuracy
0.33
predictive_accuracy
0.295
predictive_accuracy
0.255
predictive_accuracy
0.24
predictive_accuracy
0.28
predictive_accuracy
0.305
predictive_accuracy
0.29
predictive_accuracy
0.27
predictive_accuracy
0.245
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
0.245 [0.55,0.2,0.35,0,1,0.05,0.05,0.05,0.2,0]
recall
0.33 [0.65,0.1,0.5,0,1,0,0.05,0.4,0.5,0.1]
recall
0.295 [0.5,0.25,0.35,0,1,0.05,0.05,0.25,0.45,0.05]
recall
0.255 [0.45,0.05,0.35,0,1,0.05,0.05,0.15,0.3,0.15]
recall
0.24 [0.4,0.15,0.2,1,0.05,0.05,0,0.2,0.35,0]
recall
0.28 [0.6,0.2,0.4,0,1,0,0,0.2,0.35,0.05]
recall
0.305 [0.55,0.15,0.6,0,1,0,0,0.2,0.35,0.2]
recall
0.29 [0.6,0.2,0.4,0,1,0,0.05,0.4,0.2,0.05]
recall
0.27 [0.5,0.1,0.35,1,0.05,0,0,0.15,0.5,0.05]
recall
0.245 [0.5,0,0.35,0,1,0,0.05,0.1,0.35,0.1]
relative_absolute_error
0.8388888888888879
relative_absolute_error
0.7444444444444435
relative_absolute_error
0.7833333333333323
relative_absolute_error
0.8277777777777767
relative_absolute_error
0.8444444444444431
relative_absolute_error
0.799999999999999
relative_absolute_error
0.7722222222222213
relative_absolute_error
0.7888888888888879
relative_absolute_error
0.8111111111111099
relative_absolute_error
0.8388888888888879
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
0.38858718455450847
root_mean_squared_error
0.36606010435446207
root_mean_squared_error
0.3754996671103713
root_mean_squared_error
0.38600518131237516
root_mean_squared_error
0.38987177379235805
root_mean_squared_error
0.37947331922020505
root_mean_squared_error
0.37282703764614455
root_mean_squared_error
0.376828873628335
root_mean_squared_error
0.3820994634908555
root_mean_squared_error
0.38858718455450847
root_relative_squared_error
1.2952906151816959
root_relative_squared_error
1.2202003478482077
root_relative_squared_error
1.2516655570345718
root_relative_squared_error
1.286683937707918
root_relative_squared_error
1.2995725793078607
root_relative_squared_error
1.2649110640673509
root_relative_squared_error
1.2427567921538158
root_relative_squared_error
1.256096245427784
root_relative_squared_error
1.2736648783028524
root_relative_squared_error
1.2952906151816959
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
3644.9183550003
usercpu_time_millis
3833.495873999709
usercpu_time_millis
3589.3192880012066
usercpu_time_millis
3733.8042619994667
usercpu_time_millis
3743.8410460008527
usercpu_time_millis
3661.190728999827
usercpu_time_millis
3486.8042629996125
usercpu_time_millis
3171.8795030001274
usercpu_time_millis
3093.8380570005393
usercpu_time_millis
2974.7539749996577
usercpu_time_millis_testing
54.40291000013531
usercpu_time_millis_testing
45.45915499966213
usercpu_time_millis_testing
53.871153000727645
usercpu_time_millis_testing
54.489299999659124
usercpu_time_millis_testing
54.55235200042807
usercpu_time_millis_testing
53.47334999987652
usercpu_time_millis_testing
54.81313400014187
usercpu_time_millis_testing
45.345192000240786
usercpu_time_millis_testing
45.17597999983991
usercpu_time_millis_testing
45.250455000314105
usercpu_time_millis_training
3590.5154450001646
usercpu_time_millis_training
3788.036719000047
usercpu_time_millis_training
3535.448135000479
usercpu_time_millis_training
3679.3149619998076
usercpu_time_millis_training
3689.2886940004246
usercpu_time_millis_training
3607.7173789999506
usercpu_time_millis_training
3431.9911289994707
usercpu_time_millis_training
3126.5343109998867
usercpu_time_millis_training
3048.6620770006994
usercpu_time_millis_training
2929.5035199993436