8905685
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)
6843256
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
1401.5693178926615
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.7726413691329292
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
0.4689625569610795
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.012318716952250201
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
18727114
description
https://api.openml.org/data/download/18727114/description.xml
-1
18727115
predictions
https://api.openml.org/data/download/18727115/predictions.arff
area_under_roc_curve
0.5658333333333334 [0.705,0.551111,0.625833,0.511667,0.551667,0.51,0.514444,0.535,0.63,0.523611]
average_cost
0
f_measure
0.21267472663237477 [0.58156,0.185841,0.284757,0.143369,0.197749,0.039216,0.057692,0.130841,0.412698,0.093023]
kappa
0.13166666666666665
kb_relative_information_score
365.48104225366524
mean_absolute_error
0.15629999999999541
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.6668012703339298 [1,0.807692,0.214106,0.111732,0.117816,1,0.75,1,1,0.666667]
predictive_accuracy
0.21850000000000003
prior_entropy
3.321928094887362
recall
0.2185 [0.41,0.105,0.425,0.2,0.615,0.02,0.03,0.07,0.26,0.05]
relative_absolute_error
0.8683333333332811
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.3953479480154101
root_relative_squared_error
1.3178264933846802
total_cost
0
area_under_roc_curve
0.5694444444444444 [0.65,0.566667,0.75,0.5,0.577778,0.525,0.525,0.5,0.6,0.5]
area_under_roc_curve
0.6055555555555556 [0.725,0.55,0.775,0.5,0.605556,0.5,0.525,0.675,0.675,0.525]
area_under_roc_curve
0.5611111111111111 [0.7,0.597222,0.563889,0.5,0.55,0.525,0.525,0.5,0.65,0.5]
area_under_roc_curve
0.5527777777777778 [0.65,0.525,0.575,0.5,0.555556,0.525,0.525,0.55,0.575,0.547222]
area_under_roc_curve
0.55 [0.65,0.575,0.525,0.55,0.5,0.525,0.5,0.525,0.65,0.5]
area_under_roc_curve
0.5583333333333333 [0.75,0.55,0.575,0.5,0.561111,0.5,0.5,0.5,0.625,0.522222]
area_under_roc_curve
0.5611111111111111 [0.75,0.55,0.569444,0.5,0.497222,0.5,0.5,0.525,0.625,0.594444]
area_under_roc_curve
0.5777777777777778 [0.725,0.55,0.725,0.5,0.583333,0.5,0.519444,0.575,0.575,0.525]
area_under_roc_curve
0.5611111111111111 [0.725,0.547222,0.55,0.566667,0.522222,0.5,0.5,0.5,0.7,0.5]
area_under_roc_curve
0.5611111111111111 [0.725,0.5,0.65,0.5,0.563889,0.5,0.525,0.5,0.625,0.522222]
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
kappa
0.1388888888888889
kappa
0.21111111111111108
kappa
0.1222222222222222
kappa
0.10555555555555556
kappa
0.09999999999999999
kappa
0.11666666666666664
kappa
0.1222222222222222
kappa
0.15555555555555553
kappa
0.1222222222222222
kappa
0.1222222222222222
kb_relative_information_score
37.90758896309541
kb_relative_information_score
51.50243634038421
kb_relative_information_score
34.77031649141357
kb_relative_information_score
31.633044019731404
kb_relative_information_score
30.58728652917077
kb_relative_information_score
33.724559000852736
kb_relative_information_score
34.77031649141354
kb_relative_information_score
41.04486143477745
kb_relative_information_score
34.770316491413475
kb_relative_information_score
34.7703164914134
mean_absolute_error
0.1549999999999996
mean_absolute_error
0.14199999999999965
mean_absolute_error
0.15799999999999959
mean_absolute_error
0.1609999999999996
mean_absolute_error
0.1619999999999996
mean_absolute_error
0.15899999999999959
mean_absolute_error
0.15799999999999959
mean_absolute_error
0.1519999999999996
mean_absolute_error
0.15799999999999959
mean_absolute_error
0.15799999999999959
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]
predictive_accuracy
0.225
predictive_accuracy
0.29
predictive_accuracy
0.21
predictive_accuracy
0.195
predictive_accuracy
0.19
predictive_accuracy
0.205
predictive_accuracy
0.21
predictive_accuracy
0.24
predictive_accuracy
0.21
predictive_accuracy
0.21
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
0.225 [0.3,0.15,0.5,0,1,0.05,0.05,0,0.2,0]
recall
0.29 [0.45,0.1,0.55,0,1,0,0.05,0.35,0.35,0.05]
recall
0.21 [0.4,0.2,1,0,0.1,0.05,0.05,0,0.3,0]
recall
0.195 [0.3,0.05,0.15,0,1,0.05,0.05,0.1,0.15,0.1]
recall
0.19 [0.3,0.15,0.05,1,0,0.05,0,0.05,0.3,0]
recall
0.205 [0.5,0.1,0.15,0,1,0,0,0,0.25,0.05]
recall
0.21 [0.5,0.1,1,0,0,0,0,0.05,0.25,0.2]
recall
0.24 [0.45,0.1,0.45,0,1,0,0.05,0.15,0.15,0.05]
recall
0.21 [0.45,0.1,0.1,1,0.05,0,0,0,0.4,0]
recall
0.21 [0.45,0,0.3,0,1,0,0.05,0,0.25,0.05]
relative_absolute_error
0.8611111111111098
relative_absolute_error
0.7888888888888879
relative_absolute_error
0.8777777777777764
relative_absolute_error
0.8944444444444432
relative_absolute_error
0.8999999999999989
relative_absolute_error
0.883333333333332
relative_absolute_error
0.8777777777777764
relative_absolute_error
0.8444444444444431
relative_absolute_error
0.8777777777777764
relative_absolute_error
0.8777777777777764
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
0.39370039370059007
root_mean_squared_error
0.376828873628335
root_mean_squared_error
0.3974921382870353
root_mean_squared_error
0.40124805295477706
root_mean_squared_error
0.40249223594996164
root_mean_squared_error
0.3987480407475372
root_mean_squared_error
0.3974921382870353
root_mean_squared_error
0.38987177379235805
root_mean_squared_error
0.3974921382870353
root_mean_squared_error
0.3974921382870353
root_relative_squared_error
1.3123346456686342
root_relative_squared_error
1.256096245427784
root_relative_squared_error
1.3249737942901183
root_relative_squared_error
1.3374935098492577
root_relative_squared_error
1.341640786499873
root_relative_squared_error
1.329160135825125
root_relative_squared_error
1.3249737942901183
root_relative_squared_error
1.2995725793078607
root_relative_squared_error
1.3249737942901183
root_relative_squared_error
1.3249737942901183
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
3524.4546320000154
usercpu_time_millis
3138.6343290000696
usercpu_time_millis
3244.4325510000454
usercpu_time_millis
3558.503777999931
usercpu_time_millis
3458.739010999807
usercpu_time_millis
3467.7003189999596
usercpu_time_millis
3308.352426000056
usercpu_time_millis
2620.180820999849
usercpu_time_millis
2640.366383000355
usercpu_time_millis
2829.572502999781
usercpu_time_millis_testing
44.23552999992353
usercpu_time_millis_testing
43.673759000057544
usercpu_time_millis_testing
53.17207000007329
usercpu_time_millis_testing
52.94965200005208
usercpu_time_millis_testing
52.94285599984505
usercpu_time_millis_testing
54.238746000009996
usercpu_time_millis_testing
44.49583099994925
usercpu_time_millis_testing
44.518706999951974
usercpu_time_millis_testing
44.3774980001308
usercpu_time_millis_testing
51.63499399986904
usercpu_time_millis_training
3480.219102000092
usercpu_time_millis_training
3094.960570000012
usercpu_time_millis_training
3191.260480999972
usercpu_time_millis_training
3505.554125999879
usercpu_time_millis_training
3405.796154999962
usercpu_time_millis_training
3413.4615729999496
usercpu_time_millis_training
3263.8565950001066
usercpu_time_millis_training
2575.662113999897
usercpu_time_millis_training
2595.9888850002244
usercpu_time_millis_training
2777.937508999912