8906361
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)
6843838
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
3320.724031832656
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.8348641058787548
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
1.0192824630318236
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.021850250663746393
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
18728458
description
https://api.openml.org/data/download/18728458/description.xml
-1
18728459
predictions
https://api.openml.org/data/download/18728459/predictions.arff
area_under_roc_curve
0.5216666666666667 [0.5925,0.529444,0.521944,0.505833,0.504444,0.505,0.51,0.51,0.5325,0.505]
average_cost
0
f_measure
0.11218613956343285 [0.312236,0.11215,0.182219,0.138169,0.136986,0.019802,0.039216,0.039216,0.122066,0.019802]
kappa
0.04333333333333334
kb_relative_information_score
199.20560125451877
mean_absolute_error
0.1721999999999945
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7173654899804651 [1,0.857143,0.106804,0.105541,0.104167,1,1,1,1,1]
predictive_accuracy
0.139
prior_entropy
3.321928094887362
recall
0.139 [0.185,0.06,0.62,0.2,0.2,0.01,0.02,0.02,0.065,0.01]
relative_absolute_error
0.9566666666666066
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.41496987842492195
root_relative_squared_error
1.3832329280830522
total_cost
0
area_under_roc_curve
0.5194444444444444 [0.55,0.547222,0.522222,0.5,0.5,0.5,0.525,0.5,0.55,0.5]
area_under_roc_curve
0.5166666666666667 [0.575,0.5,0.516667,0.5,0.5,0.5,0.525,0.525,0.525,0.5]
area_under_roc_curve
0.5111111111111112 [0.55,0.547222,0.513889,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5222222222222223 [0.625,0.5,0.5,0.5,0.522222,0.525,0.5,0.525,0.5,0.525]
area_under_roc_curve
0.5277777777777778 [0.575,0.575,0.5,0.527778,0.5,0.525,0.5,0.5,0.575,0.5]
area_under_roc_curve
0.5222222222222223 [0.625,0.525,0.55,0.5,0.522222,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.525 [0.6,0.55,0.525,0.5,0.5,0.5,0.5,0.525,0.525,0.525]
area_under_roc_curve
0.5222222222222223 [0.6,0.525,0.522222,0.5,0.5,0.5,0.525,0.525,0.525,0.5]
area_under_roc_curve
0.5305555555555556 [0.625,0.525,0.55,0.530556,0.5,0.5,0.5,0.5,0.575,0.5]
area_under_roc_curve
0.5194444444444444 [0.6,0.5,0.519444,0.5,0.5,0.5,0.525,0.5,0.55,0.5]
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
0.03888888888888889
kappa
0.03333333333333333
kappa
0.02222222222222221
kappa
0.04444444444444445
kappa
0.05555555555555554
kappa
0.04444444444444445
kappa
0.04999999999999998
kappa
0.04444444444444445
kappa
0.0611111111111111
kappa
0.03888888888888889
kb_relative_information_score
19.083954133003346
kb_relative_information_score
18.038196642442518
kb_relative_information_score
15.946681661321227
kb_relative_information_score
20.129711623563956
kb_relative_information_score
22.221226604685356
kb_relative_information_score
20.129711623563956
kb_relative_information_score
21.17546911412475
kb_relative_information_score
20.12971162356407
kb_relative_information_score
23.266984095246038
kb_relative_information_score
19.083954133003314
mean_absolute_error
0.17299999999999977
mean_absolute_error
0.17399999999999977
mean_absolute_error
0.1759999999999998
mean_absolute_error
0.17199999999999974
mean_absolute_error
0.1699999999999997
mean_absolute_error
0.17199999999999974
mean_absolute_error
0.17099999999999974
mean_absolute_error
0.17199999999999974
mean_absolute_error
0.1689999999999997
mean_absolute_error
0.17299999999999977
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
0.135
predictive_accuracy
0.13
predictive_accuracy
0.12
predictive_accuracy
0.14
predictive_accuracy
0.15
predictive_accuracy
0.14
predictive_accuracy
0.145
predictive_accuracy
0.14
predictive_accuracy
0.155
predictive_accuracy
0.135
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
0.135 [0.1,0.1,1,0,0,0,0.05,0,0.1,0]
recall
0.13 [0.15,0,1,0,0,0,0.05,0.05,0.05,0]
recall
0.12 [0.1,0.1,1,0,0,0,0,0,0,0]
recall
0.14 [0.25,0,0,0,1,0.05,0,0.05,0,0.05]
recall
0.15 [0.15,0.15,0,1,0,0.05,0,0,0.15,0]
recall
0.14 [0.25,0.05,0.1,0,1,0,0,0,0,0]
recall
0.145 [0.2,0.1,1,0,0,0,0,0.05,0.05,0.05]
recall
0.14 [0.2,0.05,1,0,0,0,0.05,0.05,0.05,0]
recall
0.155 [0.25,0.05,0.1,1,0,0,0,0,0.15,0]
recall
0.135 [0.2,0,1,0,0,0,0.05,0,0.1,0]
relative_absolute_error
0.9611111111111108
relative_absolute_error
0.9666666666666665
relative_absolute_error
0.9777777777777777
relative_absolute_error
0.9555555555555552
relative_absolute_error
0.9444444444444439
relative_absolute_error
0.9555555555555552
relative_absolute_error
0.9499999999999996
relative_absolute_error
0.9555555555555552
relative_absolute_error
0.9388888888888883
relative_absolute_error
0.9611111111111108
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
0.41593268686170815
root_mean_squared_error
0.4171330722922839
root_mean_squared_error
0.41952353926806035
root_mean_squared_error
0.4147288270665541
root_mean_squared_error
0.4123105625617657
root_mean_squared_error
0.4147288270665541
root_mean_squared_error
0.41352146256270633
root_mean_squared_error
0.4147288270665541
root_mean_squared_error
0.41109609582188894
root_mean_squared_error
0.41593268686170815
root_relative_squared_error
1.386442289539028
root_relative_squared_error
1.3904435743076138
root_relative_squared_error
1.3984117975602017
root_relative_squared_error
1.3824294235551813
root_relative_squared_error
1.374368541872553
root_relative_squared_error
1.3824294235551813
root_relative_squared_error
1.378404875209022
root_relative_squared_error
1.3824294235551813
root_relative_squared_error
1.3703203194062974
root_relative_squared_error
1.386442289539028
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
3754.6736570002395
usercpu_time_millis
3561.9105400010085
usercpu_time_millis
3442.528010999922
usercpu_time_millis
3586.770441999761
usercpu_time_millis
3170.6381249987317
usercpu_time_millis
3151.39551700031
usercpu_time_millis
3547.999776999859
usercpu_time_millis
3550.1929439997184
usercpu_time_millis
3868.779230000655
usercpu_time_millis
3770.81868499954
usercpu_time_millis_testing
54.58401200030494
usercpu_time_millis_testing
55.022064000695536
usercpu_time_millis_testing
46.76956200000859
usercpu_time_millis_testing
45.96512599982816
usercpu_time_millis_testing
46.38524499932828
usercpu_time_millis_testing
54.667201000484056
usercpu_time_millis_testing
46.25915199994779
usercpu_time_millis_testing
54.35516799934703
usercpu_time_millis_testing
54.0103610001097
usercpu_time_millis_testing
60.02691199955734
usercpu_time_millis_training
3700.0896449999345
usercpu_time_millis_training
3506.888476000313
usercpu_time_millis_training
3395.7584489999135
usercpu_time_millis_training
3540.8053159999326
usercpu_time_millis_training
3124.2528799994034
usercpu_time_millis_training
3096.728315999826
usercpu_time_millis_training
3501.7406249999112
usercpu_time_millis_training
3495.8377760003714
usercpu_time_millis_training
3814.7688690005452
usercpu_time_millis_training
3710.7917729999826