8906228
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)
6843729
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
19315.810428506134
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.9618747294587566
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
4.971720282770197
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
true
7650
tol
0.07038804740211407
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
18728192
description
https://api.openml.org/data/download/18728192/description.xml
-1
18728193
predictions
https://api.openml.org/data/download/18728193/predictions.arff
area_under_roc_curve
0.5052777777777778 [0.505,0.505,0.505556,0.501111,0.501111,0.505,0.51,0.505,0.51,0.505]
average_cost
0
f_measure
0.061999836880250535 [0.019802,0.019802,0.174101,0.134228,0.134228,0.019802,0.039216,0.019802,0.039216,0.019802]
kappa
0.010555555555555549
kb_relative_information_score
137.50590931143978
mean_absolute_error
0.17809999999999418
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7303700874289109 [1,1,0.101681,0.10101,0.10101,1,1,1,1,1]
predictive_accuracy
0.10949999999999999
prior_entropy
3.321928094887362
recall
0.1095 [0.01,0.01,0.605,0.2,0.2,0.01,0.02,0.01,0.02,0.01]
relative_absolute_error
0.9894444444443817
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.422018956920177
root_relative_squared_error
1.4067298564005686
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
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
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
0.5 [0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5083333333333333 [0.5,0.525,0.508333,0.5,0.5,0.5,0.5,0.5,0.525,0.525]
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
kappa
0.02222222222222221
kappa
0.011111111111111105
kappa
0
kappa
0.016666666666666666
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
11.763651699078343
kb_relative_information_score
15.94668166132113
kb_relative_information_score
13.855166680199734
kb_relative_information_score
11.76365169907843
kb_relative_information_score
14.900924170760383
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
0.17999999999999985
mean_absolute_error
0.1759999999999998
mean_absolute_error
0.17799999999999983
mean_absolute_error
0.17999999999999985
mean_absolute_error
0.17699999999999982
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
0.1
predictive_accuracy
0.12
predictive_accuracy
0.11
predictive_accuracy
0.1
predictive_accuracy
0.115
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
0.1 [0,0,1,0,0,0,0,0,0,0]
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
0.1 [0,0,0,0,1,0,0,0,0,0]
recall
0.115 [0,0.05,1,0,0,0,0,0,0.05,0.05]
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
1.0000000000000002
relative_absolute_error
0.9777777777777777
relative_absolute_error
0.988888888888889
relative_absolute_error
1.0000000000000002
relative_absolute_error
0.9833333333333334
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
0.42426406871192834
root_mean_squared_error
0.41952353926806035
root_mean_squared_error
0.4219004621945795
root_mean_squared_error
0.42426406871192834
root_mean_squared_error
0.42071367935925236
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
1.4142135623730951
root_relative_squared_error
1.3984117975602017
root_relative_squared_error
1.4063348739819324
root_relative_squared_error
1.4142135623730951
root_relative_squared_error
1.4023789311975088
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
2969.649414999367
usercpu_time_millis
3590.198514999429
usercpu_time_millis
3476.672069000415
usercpu_time_millis
3879.8290670001734
usercpu_time_millis
3792.4981410005785
usercpu_time_millis
3769.7271939996426
usercpu_time_millis
3748.00475200027
usercpu_time_millis
3853.614819999166
usercpu_time_millis
3755.270061998999
usercpu_time_millis
3749.2687439998917
usercpu_time_millis_testing
55.57380699974601
usercpu_time_millis_testing
66.16110999948432
usercpu_time_millis_testing
63.41772700034198
usercpu_time_millis_testing
64.6662950002792
usercpu_time_millis_testing
62.46680500044022
usercpu_time_millis_testing
65.95238899990363
usercpu_time_millis_testing
65.76260600013484
usercpu_time_millis_testing
65.96150799941825
usercpu_time_millis_testing
67.26064999929804
usercpu_time_millis_testing
65.79419799982134
usercpu_time_millis_training
2914.075607999621
usercpu_time_millis_training
3524.0374049999446
usercpu_time_millis_training
3413.254342000073
usercpu_time_millis_training
3815.162771999894
usercpu_time_millis_training
3730.0313360001383
usercpu_time_millis_training
3703.774804999739
usercpu_time_millis_training
3682.242146000135
usercpu_time_millis_training
3787.6533119997475
usercpu_time_millis_training
3688.009411999701
usercpu_time_millis_training
3683.4745460000704