8905633
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)
6843215
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
4041.09850025608
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.8490265900880528
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
1.216282724378653
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
false
7650
tol
0.02489466923445695
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
18727010
description
https://api.openml.org/data/download/18727010/description.xml
-1
18727011
predictions
https://api.openml.org/data/download/18727011/predictions.arff
area_under_roc_curve
0.5172222222222221 [0.5675,0.526944,0.519167,0.505278,0.503333,0.505,0.51,0.505,0.525,0.505]
average_cost
0
f_measure
0.09896694844915245 [0.237885,0.103286,0.18089,0.137694,0.136054,0.019802,0.039216,0.019802,0.095238,0.019802]
kappa
0.034444444444444444
kb_relative_information_score
182.4734814055484
mean_absolute_error
0.1737999999999944
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7160125905957831 [1,0.846154,0.105892,0.104987,0.103093,1,1,1,1,1]
predictive_accuracy
0.131
prior_entropy
3.321928094887362
recall
0.131 [0.135,0.055,0.62,0.2,0.2,0.01,0.02,0.01,0.05,0.01]
relative_absolute_error
0.9655555555554948
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.4168932717135099
root_relative_squared_error
1.3896442390450119
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
0.5138888888888888 [0.55,0.5,0.513889,0.5,0.5,0.5,0.525,0.525,0.525,0.5]
area_under_roc_curve
0.5083333333333333 [0.525,0.547222,0.511111,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5194444444444444 [0.6,0.5,0.5,0.5,0.519444,0.525,0.5,0.525,0.5,0.525]
area_under_roc_curve
0.525 [0.575,0.55,0.5,0.525,0.5,0.525,0.5,0.5,0.575,0.5]
area_under_roc_curve
0.5138888888888888 [0.55,0.525,0.55,0.5,0.513889,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5194444444444444 [0.575,0.55,0.519444,0.5,0.5,0.5,0.5,0.5,0.525,0.525]
area_under_roc_curve
0.5083333333333333 [0.525,0.525,0.508333,0.5,0.5,0.5,0.525,0.5,0.5,0.5]
area_under_roc_curve
0.5277777777777778 [0.625,0.525,0.55,0.527778,0.5,0.5,0.5,0.5,0.55,0.5]
area_under_roc_curve
0.5166666666666667 [0.6,0.5,0.516667,0.5,0.5,0.5,0.525,0.5,0.525,0.5]
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
0.02777777777777777
kappa
0.016666666666666666
kappa
0.03888888888888889
kappa
0.04999999999999998
kappa
0.02777777777777777
kappa
0.03888888888888889
kappa
0.016666666666666666
kappa
0.05555555555555554
kappa
0.03333333333333333
kb_relative_information_score
19.083954133003346
kb_relative_information_score
16.992439151881744
kb_relative_information_score
14.900924170760504
kb_relative_information_score
19.08395413300327
kb_relative_information_score
21.17546911412468
kb_relative_information_score
16.99243915188182
kb_relative_information_score
19.083954133003388
kb_relative_information_score
14.900924170760431
kb_relative_information_score
22.221226604685363
kb_relative_information_score
18.03819664244257
mean_absolute_error
0.17299999999999977
mean_absolute_error
0.1749999999999998
mean_absolute_error
0.17699999999999982
mean_absolute_error
0.17299999999999977
mean_absolute_error
0.17099999999999974
mean_absolute_error
0.1749999999999998
mean_absolute_error
0.17299999999999977
mean_absolute_error
0.17699999999999982
mean_absolute_error
0.1699999999999997
mean_absolute_error
0.17399999999999977
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
0.125
predictive_accuracy
0.115
predictive_accuracy
0.135
predictive_accuracy
0.145
predictive_accuracy
0.125
predictive_accuracy
0.135
predictive_accuracy
0.115
predictive_accuracy
0.15
predictive_accuracy
0.13
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
0.125 [0.1,0,1,0,0,0,0.05,0.05,0.05,0]
recall
0.115 [0.05,0.1,1,0,0,0,0,0,0,0]
recall
0.135 [0.2,0,0,0,1,0.05,0,0.05,0,0.05]
recall
0.145 [0.15,0.1,0,1,0,0.05,0,0,0.15,0]
recall
0.125 [0.1,0.05,0.1,0,1,0,0,0,0,0]
recall
0.135 [0.15,0.1,1,0,0,0,0,0,0.05,0.05]
recall
0.115 [0.05,0.05,1,0,0,0,0.05,0,0,0]
recall
0.15 [0.25,0.05,0.1,1,0,0,0,0,0.1,0]
recall
0.13 [0.2,0,1,0,0,0,0.05,0,0.05,0]
relative_absolute_error
0.9611111111111108
relative_absolute_error
0.9722222222222221
relative_absolute_error
0.9833333333333334
relative_absolute_error
0.9611111111111108
relative_absolute_error
0.9499999999999996
relative_absolute_error
0.9722222222222221
relative_absolute_error
0.9611111111111108
relative_absolute_error
0.9833333333333334
relative_absolute_error
0.9444444444444439
relative_absolute_error
0.9666666666666665
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
0.4183300132670375
root_mean_squared_error
0.42071367935925236
root_mean_squared_error
0.41593268686170815
root_mean_squared_error
0.41352146256270633
root_mean_squared_error
0.4183300132670375
root_mean_squared_error
0.41593268686170815
root_mean_squared_error
0.42071367935925236
root_mean_squared_error
0.4123105625617657
root_mean_squared_error
0.4171330722922839
root_relative_squared_error
1.386442289539028
root_relative_squared_error
1.3944333775567928
root_relative_squared_error
1.4023789311975088
root_relative_squared_error
1.386442289539028
root_relative_squared_error
1.378404875209022
root_relative_squared_error
1.3944333775567928
root_relative_squared_error
1.386442289539028
root_relative_squared_error
1.4023789311975088
root_relative_squared_error
1.374368541872553
root_relative_squared_error
1.3904435743076138
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
2611.107888999868
usercpu_time_millis
2805.4590419999386
usercpu_time_millis
3322.731008999881
usercpu_time_millis
3589.8197240003356
usercpu_time_millis
3543.5390389998247
usercpu_time_millis
3508.6145660000057
usercpu_time_millis
3498.1648520001727
usercpu_time_millis
3452.80145799984
usercpu_time_millis
3542.985020999822
usercpu_time_millis
3532.9735020000044
usercpu_time_millis_testing
44.3112029997792
usercpu_time_millis_testing
46.606081999925664
usercpu_time_millis_testing
52.105048999919745
usercpu_time_millis_testing
53.17143500019483
usercpu_time_millis_testing
59.71100299984755
usercpu_time_millis_testing
56.45108700014134
usercpu_time_millis_testing
52.63480000007803
usercpu_time_millis_testing
52.908690999856844
usercpu_time_millis_testing
53.271798999958264
usercpu_time_millis_testing
52.41520499998842
usercpu_time_millis_training
2566.796686000089
usercpu_time_millis_training
2758.852960000013
usercpu_time_millis_training
3270.625959999961
usercpu_time_millis_training
3536.6482890001407
usercpu_time_millis_training
3483.828035999977
usercpu_time_millis_training
3452.1634789998643
usercpu_time_millis_training
3445.5300520000947
usercpu_time_millis_training
3399.892766999983
usercpu_time_millis_training
3489.713221999864
usercpu_time_millis_training
3480.558297000016