8906169
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)
6843676
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
13758.822588916397
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.9374034698130119
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
3.663601171319447
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
true
7650
tol
0.05618415832698959
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
18728074
description
https://api.openml.org/data/download/18728074/description.xml
-1
18728075
predictions
https://api.openml.org/data/download/18728075/predictions.arff
area_under_roc_curve
0.5069444444444444 [0.51,0.5125,0.508889,0.501111,0.501944,0.505,0.51,0.505,0.51,0.505]
average_cost
0
f_measure
0.06707614336112964 [0.039216,0.04878,0.175793,0.134228,0.134907,0.019802,0.039216,0.019802,0.039216,0.019802]
kappa
0.013888888888888885
kb_relative_information_score
143.78045425480386
mean_absolute_error
0.1774999999999942
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7305484874187164 [1,1,0.102694,0.10101,0.101781,1,1,1,1,1]
predictive_accuracy
0.1125
prior_entropy
3.321928094887362
recall
0.1125 [0.02,0.025,0.61,0.2,0.2,0.01,0.02,0.01,0.02,0.01]
relative_absolute_error
0.9861111111110483
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.421307488658811
root_relative_squared_error
1.4043582955293485
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
0.5055555555555555 [0.5,0.5,0.525,0.505556,0.5,0.5,0.5,0.5,0.525,0.5]
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
0.011111111111111105
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
13.855166680199734
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
0.17799999999999983
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
0.11
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
0.11 [0,0,0.05,1,0,0,0,0,0.05,0]
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
0.988888888888889
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
0.4219004621945795
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
1.4063348739819324
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
3777.1261349998895
usercpu_time_millis
3818.4512099996937
usercpu_time_millis
3542.0840150000004
usercpu_time_millis
3222.011105999627
usercpu_time_millis
3203.4421480002493
usercpu_time_millis
3297.154885000964
usercpu_time_millis
3270.2637680004045
usercpu_time_millis
3810.8735369996793
usercpu_time_millis
3778.2511839996005
usercpu_time_millis
3954.9492339992867
usercpu_time_millis_testing
62.953768999250315
usercpu_time_millis_testing
66.60968899996078
usercpu_time_millis_testing
54.66276900006051
usercpu_time_millis_testing
58.39282499982801
usercpu_time_millis_testing
54.441043000224454
usercpu_time_millis_testing
55.07352700078627
usercpu_time_millis_testing
63.677148000351735
usercpu_time_millis_testing
65.32398399940575
usercpu_time_millis_testing
54.8328679997212
usercpu_time_millis_testing
63.5557699997662
usercpu_time_millis_training
3714.172366000639
usercpu_time_millis_training
3751.841520999733
usercpu_time_millis_training
3487.42124599994
usercpu_time_millis_training
3163.618280999799
usercpu_time_millis_training
3149.001105000025
usercpu_time_millis_training
3242.0813580001777
usercpu_time_millis_training
3206.586620000053
usercpu_time_millis_training
3745.5495530002736
usercpu_time_millis_training
3723.4183159998793
usercpu_time_millis_training
3891.3934639995205