8906141
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)
6843648
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
11663.126806136846
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.9254833498407792
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
3.1573195827941083
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.050342340106018554
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
18728018
description
https://api.openml.org/data/download/18728018/description.xml
-1
18728019
predictions
https://api.openml.org/data/download/18728019/predictions.arff
area_under_roc_curve
0.5072222222222221 [0.5125,0.5125,0.508889,0.501389,0.501944,0.505,0.51,0.505,0.51,0.505]
average_cost
0
f_measure
0.06805518287348065 [0.04878,0.04878,0.175793,0.134454,0.134907,0.019802,0.039216,0.019802,0.039216,0.019802]
kappa
0.014444444444444442
kb_relative_information_score
144.82621174536453
mean_absolute_error
0.1773999999999942
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7305740595961874 [1,1,0.102694,0.101266,0.101781,1,1,1,1,1]
predictive_accuracy
0.113
prior_entropy
3.321928094887362
recall
0.113 [0.025,0.025,0.61,0.2,0.2,0.01,0.02,0.01,0.02,0.01]
relative_absolute_error
0.9855555555554929
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.42118879377304685
root_relative_squared_error
1.4039626459101349
total_cost
0
area_under_roc_curve
0.5083333333333333 [0.5,0.525,0.508333,0.5,0.5,0.5,0.525,0.5,0.525,0.5]
area_under_roc_curve
0.5055555555555555 [0.5,0.5,0.505556,0.5,0.5,0.5,0.525,0.525,0.5,0.5]
area_under_roc_curve
0.5055555555555555 [0.5,0.55,0.505556,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5111111111111112 [0.525,0.5,0.5,0.5,0.511111,0.525,0.5,0.525,0.5,0.525]
area_under_roc_curve
0.5055555555555555 [0.5,0.5,0.5,0.505556,0.5,0.525,0.5,0.5,0.525,0.5]
area_under_roc_curve
0.5083333333333333 [0.525,0.525,0.525,0.5,0.508333,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5111111111111112 [0.525,0.525,0.511111,0.5,0.5,0.5,0.5,0.5,0.525,0.525]
area_under_roc_curve
0.5027777777777778 [0.5,0.5,0.502778,0.5,0.5,0.5,0.525,0.5,0.5,0.5]
area_under_roc_curve
0.5083333333333333 [0.525,0.5,0.525,0.508333,0.5,0.5,0.5,0.5,0.525,0.5]
area_under_roc_curve
0.5055555555555555 [0.525,0.5,0.505556,0.5,0.5,0.5,0.525,0.5,0.5,0.5]
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
0.016666666666666666
kappa
0.011111111111111105
kappa
0.011111111111111105
kappa
0.02222222222222221
kappa
0.011111111111111105
kappa
0.016666666666666666
kappa
0.02222222222222221
kappa
0.005555555555555545
kappa
0.016666666666666666
kappa
0.011111111111111105
kb_relative_information_score
14.900924170760396
kb_relative_information_score
13.855166680199693
kb_relative_information_score
13.855166680199778
kb_relative_information_score
15.94668166132113
kb_relative_information_score
13.855166680199734
kb_relative_information_score
14.900924170760446
kb_relative_information_score
15.946681661321106
kb_relative_information_score
12.809409189639018
kb_relative_information_score
14.900924170760408
kb_relative_information_score
13.855166680199693
mean_absolute_error
0.17699999999999982
mean_absolute_error
0.17799999999999983
mean_absolute_error
0.17799999999999983
mean_absolute_error
0.1759999999999998
mean_absolute_error
0.17799999999999983
mean_absolute_error
0.17699999999999982
mean_absolute_error
0.1759999999999998
mean_absolute_error
0.17899999999999985
mean_absolute_error
0.17699999999999982
mean_absolute_error
0.17799999999999983
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
0.115
predictive_accuracy
0.11
predictive_accuracy
0.11
predictive_accuracy
0.12
predictive_accuracy
0.11
predictive_accuracy
0.115
predictive_accuracy
0.12
predictive_accuracy
0.105
predictive_accuracy
0.115
predictive_accuracy
0.11
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
0.115 [0,0.05,1,0,0,0,0.05,0,0.05,0]
recall
0.11 [0,0,1,0,0,0,0.05,0.05,0,0]
recall
0.11 [0,0.1,1,0,0,0,0,0,0,0]
recall
0.12 [0.05,0,0,0,1,0.05,0,0.05,0,0.05]
recall
0.11 [0,0,0,1,0,0.05,0,0,0.05,0]
recall
0.115 [0.05,0.05,0.05,0,1,0,0,0,0,0]
recall
0.12 [0.05,0.05,1,0,0,0,0,0,0.05,0.05]
recall
0.105 [0,0,1,0,0,0,0.05,0,0,0]
recall
0.115 [0.05,0,0.05,1,0,0,0,0,0.05,0]
recall
0.11 [0.05,0,1,0,0,0,0.05,0,0,0]
relative_absolute_error
0.9833333333333334
relative_absolute_error
0.988888888888889
relative_absolute_error
0.988888888888889
relative_absolute_error
0.9777777777777777
relative_absolute_error
0.988888888888889
relative_absolute_error
0.9833333333333334
relative_absolute_error
0.9777777777777777
relative_absolute_error
0.9944444444444447
relative_absolute_error
0.9833333333333334
relative_absolute_error
0.988888888888889
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
0.42071367935925236
root_mean_squared_error
0.4219004621945795
root_mean_squared_error
0.4219004621945795
root_mean_squared_error
0.41952353926806035
root_mean_squared_error
0.4219004621945795
root_mean_squared_error
0.42071367935925236
root_mean_squared_error
0.41952353926806035
root_mean_squared_error
0.42308391602612344
root_mean_squared_error
0.42071367935925236
root_mean_squared_error
0.4219004621945795
root_relative_squared_error
1.4023789311975088
root_relative_squared_error
1.4063348739819324
root_relative_squared_error
1.4063348739819324
root_relative_squared_error
1.3984117975602017
root_relative_squared_error
1.4063348739819324
root_relative_squared_error
1.4023789311975088
root_relative_squared_error
1.3984117975602017
root_relative_squared_error
1.4102797200870791
root_relative_squared_error
1.4023789311975088
root_relative_squared_error
1.4063348739819324
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
3667.9326270000274
usercpu_time_millis
3724.3313170001784
usercpu_time_millis
2972.5537590002205
usercpu_time_millis
3077.241006999884
usercpu_time_millis
3822.3042340000575
usercpu_time_millis
3437.271679999867
usercpu_time_millis
3789.142098999946
usercpu_time_millis
3683.3755859997837
usercpu_time_millis
3120.4333129999213
usercpu_time_millis
3662.4622479998834
usercpu_time_millis_testing
58.65933699988091
usercpu_time_millis_testing
53.005320000011125
usercpu_time_millis_testing
49.98834300022281
usercpu_time_millis_testing
52.079371999752766
usercpu_time_millis_testing
58.64099700011138
usercpu_time_millis_testing
61.137763999795425
usercpu_time_millis_testing
58.12841099987054
usercpu_time_millis_testing
51.4591000001019
usercpu_time_millis_testing
50.11920500010092
usercpu_time_millis_testing
59.30326099996819
usercpu_time_millis_training
3609.2732900001465
usercpu_time_millis_training
3671.3259970001673
usercpu_time_millis_training
2922.5654159999976
usercpu_time_millis_training
3025.1616350001314
usercpu_time_millis_training
3763.663236999946
usercpu_time_millis_training
3376.1339160000716
usercpu_time_millis_training
3731.0136880000755
usercpu_time_millis_training
3631.9164859996818
usercpu_time_millis_training
3070.3141079998204
usercpu_time_millis_training
3603.158986999915