8906787
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)
6844218
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
32707.67709082697
7650
cache_size
200
7650
class_weight
null
7650
coef0
0.9998670840983925
7650
decision_function_shape
"ovr"
7650
degree
3
7650
gamma
7.986744233682437
7650
kernel
"rbf"
7650
max_iter
-1
7650
probability
false
7650
random_state
1
7650
shrinking
true
7650
tol
0.09987765483333329
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
18729306
description
https://api.openml.org/data/download/18729306/description.xml
-1
18729307
predictions
https://api.openml.org/data/download/18729307/predictions.arff
area_under_roc_curve
0.5269444444444444 [0.505,0.505,0.648889,0.544167,0.531389,0.505,0.51,0.505,0.51,0.505]
average_cost
0
f_measure
0.07630714141098965 [0.019802,0.019802,0.240385,0.180974,0.164271,0.019802,0.039216,0.019802,0.039216,0.019802]
kappa
0.053888888888888875
kb_relative_information_score
219.07499357517085
mean_absolute_error
0.17029999999999462
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7444816012988743 [1,1,0.136612,0.168831,0.139373,1,1,1,1,1]
predictive_accuracy
0.1485
prior_entropy
3.321928094887362
recall
0.1485 [0.01,0.01,1,0.195,0.2,0.01,0.02,0.01,0.02,0.01]
relative_absolute_error
0.9461111111110521
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.41267420563926044
root_relative_squared_error
1.3755806854641803
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
0.5666666666666668 [0.525,0.5,0.902778,0.5,0.663889,0.525,0.5,0.525,0.5,0.525]
area_under_roc_curve
0.5583333333333332 [0.5,0.5,0.847222,0.686111,0.5,0.525,0.5,0.5,0.525,0.5]
area_under_roc_curve
0.5555555555555556 [0.5,0.5,0.905556,0.5,0.65,0.5,0.5,0.5,0.5,0.5]
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
0.5583333333333333 [0.5,0.5,0.802778,0.755556,0.5,0.5,0.5,0.5,0.525,0.5]
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
0.13333333333333333
kappa
0.11666666666666664
kappa
0.11111111111111112
kappa
0.016666666666666666
kappa
0.005555555555555545
kappa
0.11666666666666664
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
36.86183147253479
kb_relative_information_score
33.72455900085284
kb_relative_information_score
32.678801510292026
kb_relative_information_score
14.900924170760383
kb_relative_information_score
12.809409189639018
kb_relative_information_score
33.724559000852786
kb_relative_information_score
13.855166680199693
mean_absolute_error
0.17699999999999982
mean_absolute_error
0.17799999999999983
mean_absolute_error
0.17999999999999985
mean_absolute_error
0.1559999999999996
mean_absolute_error
0.15899999999999959
mean_absolute_error
0.1599999999999996
mean_absolute_error
0.17699999999999982
mean_absolute_error
0.17899999999999985
mean_absolute_error
0.15899999999999959
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
0.22
predictive_accuracy
0.205
predictive_accuracy
0.2
predictive_accuracy
0.115
predictive_accuracy
0.105
predictive_accuracy
0.205
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
0.22 [0.05,0,1,0,1,0.05,0,0.05,0,0.05]
recall
0.205 [0,0,1,0.95,0,0.05,0,0,0.05,0]
recall
0.2 [0,0,1,0,1,0,0,0,0,0]
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
0.205 [0,0,1,1,0,0,0,0,0.05,0]
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
0.8666666666666655
relative_absolute_error
0.883333333333332
relative_absolute_error
0.8888888888888876
relative_absolute_error
0.9833333333333334
relative_absolute_error
0.9944444444444447
relative_absolute_error
0.883333333333332
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
0.3949683531626295
root_mean_squared_error
0.3987480407475372
root_mean_squared_error
0.39999999999999947
root_mean_squared_error
0.42071367935925236
root_mean_squared_error
0.42308391602612344
root_mean_squared_error
0.3987480407475372
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
1.3165611772087658
root_relative_squared_error
1.329160135825125
root_relative_squared_error
1.3333333333333324
root_relative_squared_error
1.4023789311975088
root_relative_squared_error
1.4102797200870791
root_relative_squared_error
1.329160135825125
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
3697.783636999702
usercpu_time_millis
3989.335218000633
usercpu_time_millis
3230.770114999359
usercpu_time_millis
3145.8619089999047
usercpu_time_millis
3222.8551710004467
usercpu_time_millis
3223.9928880007938
usercpu_time_millis
4040.366946999711
usercpu_time_millis
4061.441126000318
usercpu_time_millis
3911.7542009998942
usercpu_time_millis
3916.9954700000744
usercpu_time_millis_testing
54.061114999967685
usercpu_time_millis_testing
55.000445000587206
usercpu_time_millis_testing
45.90613999971538
usercpu_time_millis_testing
45.153136999942944
usercpu_time_millis_testing
45.87798200009274
usercpu_time_millis_testing
54.287017000206106
usercpu_time_millis_testing
53.89123900022241
usercpu_time_millis_testing
58.72535300022719
usercpu_time_millis_testing
54.512542000338726
usercpu_time_millis_testing
56.7492130003302
usercpu_time_millis_training
3643.7225219997345
usercpu_time_millis_training
3934.334773000046
usercpu_time_millis_training
3184.8639749996437
usercpu_time_millis_training
3100.7087719999618
usercpu_time_millis_training
3176.977189000354
usercpu_time_millis_training
3169.7058710005876
usercpu_time_millis_training
3986.475707999489
usercpu_time_millis_training
4002.715773000091
usercpu_time_millis_training
3857.2416589995555
usercpu_time_millis_training
3860.246256999744