7459711
1
Jan van Rijn
2
Supervised Classification
predictive_accuracy
6952
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
5491604
axis
0
6947
categorical_features
[0, 1, 2, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 35, 36, 37]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"most_frequent"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[0, 1, 2, 5, 6, 7, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 35, 36, 37]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
true
6948
threshold
0.0
6949
C
20468.721525700657
6953
cache_size
200
6953
class_weight
null
6953
coef0
-0.4299065722351536
6953
decision_function_shape
null
6953
degree
3
6953
gamma
1.592641091619402
6953
kernel
"sigmoid"
6953
max_iter
-1
6953
probability
true
6953
random_state
45798
6953
shrinking
true
6953
tol
6.99510442138577e-05
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
2
anneal
https://www.openml.org/data/download/1666876/phpFsFYVN
-1
15846119
description
https://api.openml.org/data/download/15846119/description.xml
-1
15846122
predictions
https://api.openml.org/data/download/15846122/predictions.arff
area_under_roc_curve
0.49493062982817426 [0.420154,0.512061,0.494535,0.0,0.476076,0.505842]
average_cost
0
kappa
0
kb_relative_information_score
3.7810830836094307
mean_absolute_error
0.1334515249460444
mean_prior_absolute_error
0.1343053392987372
number_of_instances
898 [8,99,684,0,67,40]
predictive_accuracy
0.7616926503340757
prior_entropy
1.2148750119609601
recall
0.7616926503340757 [0,0,1,0.0,0,0]
relative_absolute_error
0.9936427370858754
root_mean_prior_squared_error
0.25821801699423275
root_mean_squared_error
0.2582184523644369
root_relative_squared_error
1.000001686056648
total_cost
0
area_under_roc_curve
0.49926108527553775 [0.595506,0.604938,0.498965,0.0,0.380379,0.450581]
area_under_roc_curve
0.527368091242536 [0.629213,0.5925,0.52795,0.0,0.525794,0.331395]
area_under_roc_curve
0.53212742965258 [0.617978,0.52375,0.533471,0.0,0.539683,0.497093]
area_under_roc_curve
0.5742503928160121 [0.61236,0.570625,0.577295,0.0,0.510913,0.616279]
area_under_roc_curve
0.5239685765176295 [0.61236,0.57125,0.525067,0.0,0.380379,0.616279]
area_under_roc_curve
0.5328986377289728 [0.646067,0.6625,0.535094,0.0,0.242685,0.651163]
area_under_roc_curve
0.5230391505685903 [0.61236,0.51625,0.524064,0.0,0.545611,0.460756]
area_under_roc_curve
0.4861012510979376 [0.578652,0.5875,0.485294,0.0,0.281411,0.581395]
area_under_roc_curve
0.5281167210510861 [0.0,0.520253,0.529412,0.0,0.47561,0.617647]
area_under_roc_curve
0.4948779508334375 [0.0,0.506329,0.492647,0.0,0.493902,0.505882]
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
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kappa
0
kb_relative_information_score
0.36511388251795956
kb_relative_information_score
0.3487651530572201
kb_relative_information_score
0.3515071184944904
kb_relative_information_score
0.34878882640473097
kb_relative_information_score
0.42579100610726184
kb_relative_information_score
0.44870242549279843
kb_relative_information_score
0.42551505341251394
kb_relative_information_score
0.42575681957753886
kb_relative_information_score
0.32321745769407356
kb_relative_information_score
0.31792534085085933
mean_absolute_error
0.13259024625852892
mean_absolute_error
0.13246658504019534
mean_absolute_error
0.132462052315514
mean_absolute_error
0.13247851009956652
mean_absolute_error
0.1347396518102438
mean_absolute_error
0.13468630766802905
mean_absolute_error
0.134740307618717
mean_absolute_error
0.1347397405645358
mean_absolute_error
0.1327924011801908
mean_absolute_error
0.13280493901944176
mean_prior_absolute_error
0.13334152736807592
mean_prior_absolute_error
0.1332104228121926
mean_prior_absolute_error
0.1332104228121926
mean_prior_absolute_error
0.1332104228121926
mean_prior_absolute_error
0.1357382825303178
mean_prior_absolute_error
0.1357382825303178
mean_prior_absolute_error
0.1357382825303178
mean_prior_absolute_error
0.1357382825303178
mean_prior_absolute_error
0.1335554008816412
mean_prior_absolute_error
0.1335554008816412
number_of_instances
90 [1,9,69,0,7,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,69,0,6,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
90 [1,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
number_of_instances
89 [0,10,68,0,7,4]
predictive_accuracy
0.7666666666666667
predictive_accuracy
0.7666666666666667
predictive_accuracy
0.7666666666666667
predictive_accuracy
0.7666666666666667
predictive_accuracy
0.7555555555555555
predictive_accuracy
0.7555555555555555
predictive_accuracy
0.7555555555555555
predictive_accuracy
0.7555555555555555
predictive_accuracy
0.7640449438202248
predictive_accuracy
0.7640449438202248
prior_entropy
1.2148750119609601
prior_entropy
1.2148750119609601
prior_entropy
1.2148750119609601
prior_entropy
1.2148750119609601
prior_entropy
1.2148750119609601
prior_entropy
1.2148750119609601
prior_entropy
1.2148750119609601
prior_entropy
1.2148750119609601
prior_entropy
1.2148750119609601
prior_entropy
1.2148750119609601
recall
0.7666666666666667 [0,0,1,0.0,0,0]
recall
0.7666666666666667 [0,0,1,0.0,0,0]
recall
0.7666666666666667 [0,0,1,0.0,0,0]
recall
0.7666666666666667 [0,0,1,0.0,0,0]
recall
0.7555555555555555 [0,0,1,0.0,0,0]
recall
0.7555555555555555 [0,0,1,0.0,0,0]
recall
0.7555555555555555 [0,0,1,0.0,0,0]
recall
0.7555555555555555 [0,0,1,0.0,0,0]
recall
0.7640449438202247 [0.0,0,1,0.0,0,0]
recall
0.7640449438202247 [0.0,0,1,0.0,0,0]
relative_absolute_error
0.994365737933441
relative_absolute_error
0.9944160692812605
relative_absolute_error
0.9943820424792608
relative_absolute_error
0.9945055897490995
relative_absolute_error
0.9926429692386085
relative_absolute_error
0.9922499766264997
relative_absolute_error
0.9926478006572839
relative_absolute_error
0.992643623101987
relative_absolute_error
0.9942870172496687
relative_absolute_error
0.9943808946905525
root_mean_prior_squared_error
0.25634494800907004
root_mean_prior_squared_error
0.2560891013180559
root_mean_prior_squared_error
0.2560891013180559
root_mean_prior_squared_error
0.2560891013180559
root_mean_prior_squared_error
0.2609779445317453
root_mean_prior_squared_error
0.2609779445317453
root_mean_prior_squared_error
0.2609779445317453
root_mean_prior_squared_error
0.2609779445317453
root_mean_prior_squared_error
0.25676176873385587
root_mean_prior_squared_error
0.25676176873385587
root_mean_squared_error
0.2563361252065023
root_mean_squared_error
0.2560793751484669
root_mean_squared_error
0.2560760877346415
root_mean_squared_error
0.25607894957611443
root_mean_squared_error
0.2609912841370854
root_mean_squared_error
0.26099162491277317
root_mean_squared_error
0.26099152996551195
root_mean_squared_error
0.26099132847096285
root_mean_squared_error
0.2567568388608726
root_mean_squared_error
0.25675770286809846
root_relative_squared_error
0.9999655823037034
root_relative_squared_error
0.9999620203689303
root_relative_squared_error
0.9999491833766162
root_relative_squared_error
0.9999603585553261
root_relative_squared_error
1.00005111391832
root_relative_squared_error
1.0000524196826381
root_relative_squared_error
1.0000520558692845
root_relative_squared_error
1.0000512837942745
root_relative_squared_error
0.9999807998168591
root_relative_squared_error
0.9999841648319473
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
165.84163699999976
usercpu_time_millis
160.15084899999897
usercpu_time_millis
157.8991119999973
usercpu_time_millis
158.07523599999843
usercpu_time_millis
127.17335900000037
usercpu_time_millis
123.54061299999941
usercpu_time_millis
122.57276200000078
usercpu_time_millis
140.76372200000088
usercpu_time_millis
143.39479099999863
usercpu_time_millis
141.4770569999995
usercpu_time_millis_testing
10.964290000000432
usercpu_time_millis_testing
10.854563000000539
usercpu_time_millis_testing
10.932880999998673
usercpu_time_millis_testing
10.831145999999237
usercpu_time_millis_testing
8.460354000000336
usercpu_time_millis_testing
8.682061000000019
usercpu_time_millis_testing
8.330418999999978
usercpu_time_millis_testing
9.800164999999694
usercpu_time_millis_testing
10.35200699999983
usercpu_time_millis_testing
9.135314999999977
usercpu_time_millis_training
154.87734699999933
usercpu_time_millis_training
149.29628599999845
usercpu_time_millis_training
146.96623099999863
usercpu_time_millis_training
147.24408999999918
usercpu_time_millis_training
118.71300500000004
usercpu_time_millis_training
114.85855199999939
usercpu_time_millis_training
114.2423430000008
usercpu_time_millis_training
130.96355700000117
usercpu_time_millis_training
133.0427839999988
usercpu_time_millis_training
132.3417419999995