8707233
1
Jan van Rijn
14
Supervised Classification
7707
sklearn.pipeline.Pipeline(imputation=openmlstudy14.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,classifier=sklearn.svm.classes.SVC)(1)
6684652
axis
0
7660
categorical_features
[]
7660
copy
true
7660
fill_empty
0
7660
missing_values
"NaN"
7660
strategy
"median"
7660
strategy_nominal
"most_frequent"
7660
verbose
0
7660
categorical_features
[]
7661
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
7661
handle_unknown
"ignore"
7661
n_values
"auto"
7661
sparse
true
7661
threshold
0.0
7662
copy
true
7663
with_mean
false
7663
with_std
true
7663
C
1051.4853085970883
7708
cache_size
200
7708
class_weight
null
7708
coef0
0.06861523816814907
7708
decision_function_shape
null
7708
degree
2
7708
gamma
5.885652038586523
7708
kernel
"rbf"
7708
max_iter
-1
7708
probability
true
7708
random_state
21336
7708
shrinking
true
7708
tol
0.01373381384500866
7708
verbose
false
7708
openml-pimp
openml-python
Sklearn_0.18.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
18331330
description
https://api.openml.org/data/download/18331330/description.xml
-1
18331331
predictions
https://api.openml.org/data/download/18331331/predictions.arff
area_under_roc_curve
0.4962491666666667 [0.497944,0.497944,0.497889,0.490749,0.497944,0.492176,0.505276,0.492837,0.497722,0.492008]
average_cost
0
kappa
0.001666666666666668
kb_relative_information_score
4.2782954139742975
mean_absolute_error
0.1799142650649443
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
predictive_accuracy
0.1015
prior_entropy
3.321928094887362
recall
0.1015 [0,0,0.3,0,0.3,0,0.02,0,0.3,0.095]
relative_absolute_error
0.9995236948052151
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.29992455482262703
root_relative_squared_error
0.9997485160754082
total_cost
0
area_under_roc_curve
0.5050000000000001 [0.502778,0.502778,0.502778,0.502778,0.502778,0.502778,0.525,0.502778,0.502778,0.502778]
area_under_roc_curve
0.501638888888889 [0.5,0.5,0.5,0.5,0.5,0.505556,0.527639,0.477639,0.5,0.505556]
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
0.48674999999999996 [0.491667,0.491667,0.491667,0.491667,0.491667,0.469722,0.508333,0.469722,0.491667,0.469722]
area_under_roc_curve
0.49336111111111114 [0.494444,0.494444,0.494444,0.472361,0.494444,0.472361,0.505556,0.505556,0.494444,0.505556]
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
0.49722222222222223 [0.497222,0.497222,0.497222,0.502778,0.497222,0.502778,0.502778,0.502778,0.497222,0.475]
area_under_roc_curve
0.5050000000000001 [0.502778,0.502778,0.502778,0.502778,0.502778,0.502778,0.525,0.502778,0.502778,0.502778]
area_under_roc_curve
0.49722222222222223 [0.497222,0.497222,0.497222,0.475,0.497222,0.502778,0.502778,0.502778,0.497222,0.502778]
area_under_roc_curve
0.5050000000000001 [0.502778,0.502778,0.502778,0.502778,0.502778,0.502778,0.525,0.502778,0.502778,0.502778]
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
0.005555555555555545
kappa
0.005555555555555545
kappa
0
kappa
0
kappa
0
kappa
0
kappa
-0.00555555555555556
kappa
0.005555555555555545
kappa
0
kappa
0.005555555555555545
kb_relative_information_score
0.865828711138831
kb_relative_information_score
0.8167483703355698
kb_relative_information_score
0.17497516861646603
kb_relative_information_score
-0.013791935000986522
kb_relative_information_score
0.08161523433393271
kb_relative_information_score
0.20165452338041068
kb_relative_information_score
0.16885727506379272
kb_relative_information_score
0.9111238257848585
kb_relative_information_score
0.19589492434473801
kb_relative_information_score
0.8753893159766499
mean_absolute_error
0.17960987570996795
mean_absolute_error
0.17969109416591436
mean_absolute_error
0.17999999999995986
mean_absolute_error
0.18029548878153115
mean_absolute_error
0.18018374938611767
mean_absolute_error
0.17999999999995983
mean_absolute_error
0.1800871504488031
mean_absolute_error
0.17957452022902232
mean_absolute_error
0.1800874922720825
mean_absolute_error
0.17961327965608576
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
0.105
predictive_accuracy
0.105
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.1
predictive_accuracy
0.095
predictive_accuracy
0.105
predictive_accuracy
0.1
predictive_accuracy
0.105
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
0.105 [0,0,1,0,0,0,0.05,0,0,0]
recall
0.105 [0,0,1,0,0,0,0.05,0,0,0]
recall
0.1 [0,0,0,0,0,0,0,0,1,0]
recall
0.1 [0,0,1,0,0,0,0,0,0,0]
recall
0.1 [0,0,0,0,0,0,0,0,1,0]
recall
0.1 [0,0,0,0,0,0,0,0,1,0]
recall
0.095 [0,0,0,0,0,0,0,0,0,0.95]
recall
0.105 [0,0,0,0,1,0,0.05,0,0,0]
recall
0.1 [0,0,0,0,1,0,0,0,0,0]
recall
0.105 [0,0,0,0,1,0,0.05,0,0,0]
relative_absolute_error
0.9978326428331564
relative_absolute_error
0.9982838564773031
relative_absolute_error
0.9999999999997781
relative_absolute_error
1.0016416043418408
relative_absolute_error
1.001020829922877
relative_absolute_error
0.9999999999997778
relative_absolute_error
1.0004841691600184
relative_absolute_error
0.9976362234945695
relative_absolute_error
1.0004860681782375
relative_absolute_error
0.997851553644922
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
0.29949039461778126
root_mean_squared_error
0.29964286413086216
root_mean_squared_error
0.3000004915818759
root_mean_squared_error
0.3005216011570981
root_mean_squared_error
0.30032527385756463
root_mean_squared_error
0.3000005024263582
root_mean_squared_error
0.30015470510516634
root_mean_squared_error
0.2994580995700468
root_mean_squared_error
0.3001557381733271
root_mean_squared_error
0.2994937003082296
root_relative_squared_error
0.9983013153926048
root_relative_squared_error
0.9988095471028745
root_relative_squared_error
1.0000016386062538
root_relative_squared_error
1.0017386705236608
root_relative_squared_error
1.0010842461918827
root_relative_squared_error
1.000001674754528
root_relative_squared_error
1.0005156836838884
root_relative_squared_error
0.9981936652334898
root_relative_squared_error
1.0005191272444243
root_relative_squared_error
0.9983123343607658
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
6119.216269005847
usercpu_time_millis
5716.52512599394
usercpu_time_millis
5972.954740005662
usercpu_time_millis
5908.105557005911
usercpu_time_millis
6092.737847000535
usercpu_time_millis
6008.404649008298
usercpu_time_millis
6257.643643999472
usercpu_time_millis
5849.8027750029
usercpu_time_millis
5898.269402998267
usercpu_time_millis
5782.249972995487
usercpu_time_millis_testing
90.79959600057919
usercpu_time_millis_testing
89.50357199501013
usercpu_time_millis_testing
92.29484100069385
usercpu_time_millis_testing
97.204892001173
usercpu_time_millis_testing
91.66076599649386
usercpu_time_millis_testing
116.0392480014707
usercpu_time_millis_testing
91.69199299503816
usercpu_time_millis_testing
91.00332199886907
usercpu_time_millis_testing
91.7101930026547
usercpu_time_millis_testing
94.64141799981007
usercpu_time_millis_training
6028.4166730052675
usercpu_time_millis_training
5627.021553998929
usercpu_time_millis_training
5880.659899004968
usercpu_time_millis_training
5810.900665004738
usercpu_time_millis_training
6001.077081004041
usercpu_time_millis_training
5892.365401006828
usercpu_time_millis_training
6165.951651004434
usercpu_time_millis_training
5758.7994530040305
usercpu_time_millis_training
5806.559209995612
usercpu_time_millis_training
5687.608554995677