5029509
1
Jan van Rijn
14
Supervised Classification
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)
3064905
axis
0
6947
categorical_features
[]
6947
copy
true
6947
fill_empty
0
6947
missing_values
"NaN"
6947
strategy
"mean"
6947
strategy_nominal
"most_frequent"
6947
verbose
0
6947
categorical_features
[]
6948
dtype
{"oml-python:serialized_object": "type", "value": "np.float64"}
6948
handle_unknown
"ignore"
6948
n_values
"auto"
6948
sparse
false
6948
threshold
0.0
6949
C
0.12462674485587996
6953
cache_size
200
6953
class_weight
null
6953
coef0
0.0
6953
decision_function_shape
null
6953
degree
3
6953
gamma
0.03265963827727238
6953
kernel
"rbf"
6953
max_iter
-1
6953
probability
true
6953
random_state
8137
6953
shrinking
true
6953
tol
2.02024878868095e-05
6953
verbose
false
6953
openml-pimp
openml-python
Sklearn_0.18.1.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
10992709
description
https://api.openml.org/data/download/10992709/description.xml
-1
10992710
predictions
https://api.openml.org/data/download/10992710/predictions.arff
area_under_roc_curve
0.9318766666666668 [0.999914,0.867531,0.979708,0.954633,0.900622,0.984756,0.859928,0.98445,0.952703,0.834522]
average_cost
0
kappa
0.4666666666666667
kb_relative_information_score
242.388033210536
mean_absolute_error
0.17241016280307075
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
predictive_accuracy
0.52
prior_entropy
3.321928094887362
recall
0.52 [1,0.115,0.97,0.675,0.54,0.97,0.38,0.45,0.1,0]
relative_absolute_error
0.957834237794808
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2887714426438327
root_relative_squared_error
0.9625714754794275
total_cost
0
area_under_roc_curve
0.9319444444444446 [1,0.844167,0.980556,0.958056,0.9175,0.996944,0.771389,0.983056,0.953056,0.914722]
area_under_roc_curve
0.9328888888888889 [1,0.848333,0.97,0.9625,0.885556,0.986944,0.904444,0.9825,0.939167,0.849444]
area_under_roc_curve
0.9298888888888888 [0.999444,0.905,0.981389,0.897778,0.883056,0.99,0.895833,0.972222,0.973889,0.800278]
area_under_roc_curve
0.9294722222222223 [0.999722,0.817778,0.99,0.964167,0.940278,0.984722,0.8575,0.984444,0.938333,0.817778]
area_under_roc_curve
0.9297777777777777 [1,0.874444,0.973056,0.968333,0.855556,0.991667,0.8325,0.985278,0.950833,0.866111]
area_under_roc_curve
0.940638888888889 [1,0.902222,0.983333,0.955,0.918056,0.979444,0.873889,0.993889,0.976944,0.823611]
area_under_roc_curve
0.9385277777777778 [1,0.888889,0.991111,0.968333,0.905278,0.963333,0.910556,0.987222,0.966389,0.804167]
area_under_roc_curve
0.9355277777777781 [1,0.878889,0.980278,0.960833,0.874167,0.988889,0.891667,0.99,0.934722,0.855833]
area_under_roc_curve
0.9375 [1,0.843611,0.993333,0.984167,0.919444,0.969167,0.878889,0.984444,0.976111,0.825833]
area_under_roc_curve
0.9173888888888889 [1,0.882778,0.953889,0.921389,0.915556,0.995278,0.791944,0.985833,0.916111,0.811111]
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
0.46111111111111114
kappa
0.4388888888888889
kappa
0.4777777777777778
kappa
0.5055555555555556
kappa
0.46111111111111114
kappa
0.4444444444444445
kappa
0.4833333333333334
kappa
0.4777777777777778
kappa
0.47222222222222227
kappa
0.4444444444444445
kb_relative_information_score
24.16237607877581
kb_relative_information_score
24.457370982942066
kb_relative_information_score
24.16997010185344
kb_relative_information_score
24.19914007402504
kb_relative_information_score
24.271374209643547
kb_relative_information_score
24.435937481967613
kb_relative_information_score
24.254124854823612
kb_relative_information_score
24.019964769043796
kb_relative_information_score
24.35063190584153
kb_relative_information_score
24.067142751619794
mean_absolute_error
0.1724377918243101
mean_absolute_error
0.17229749300015598
mean_absolute_error
0.1724447542658671
mean_absolute_error
0.17245978154762995
mean_absolute_error
0.17233576551917218
mean_absolute_error
0.17230681368894607
mean_absolute_error
0.1723862643010185
mean_absolute_error
0.17249519269335117
mean_absolute_error
0.1724371626532083
mean_absolute_error
0.17250060853704352
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
0.515
predictive_accuracy
0.495
predictive_accuracy
0.53
predictive_accuracy
0.555
predictive_accuracy
0.515
predictive_accuracy
0.5
predictive_accuracy
0.535
predictive_accuracy
0.53
predictive_accuracy
0.525
predictive_accuracy
0.5
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
0.515 [1,0.2,1,0.45,0.7,1,0.35,0.35,0.1,0]
recall
0.495 [1,0.1,0.95,0.6,0.5,0.95,0.35,0.4,0.1,0]
recall
0.53 [1,0.05,0.95,0.75,0.7,0.95,0.35,0.5,0.05,0]
recall
0.555 [1,0.2,1,0.8,0.45,1,0.5,0.5,0.1,0]
recall
0.515 [1,0.1,0.95,0.75,0.45,1,0.35,0.4,0.15,0]
recall
0.5 [1,0.05,1,0.8,0.4,0.95,0.35,0.35,0.1,0]
recall
0.535 [1,0.05,1,0.8,0.55,0.95,0.4,0.55,0.05,0]
recall
0.53 [1,0.2,1,0.65,0.5,0.95,0.4,0.55,0.05,0]
recall
0.525 [1,0.05,1,0.65,0.55,0.95,0.3,0.55,0.2,0]
recall
0.5 [1,0.15,0.85,0.5,0.6,1,0.45,0.35,0.1,0]
relative_absolute_error
0.9579877323572794
relative_absolute_error
0.9572082944453121
relative_absolute_error
0.9580264125881517
relative_absolute_error
0.9581098974868341
relative_absolute_error
0.9574209195509575
relative_absolute_error
0.9572600760497015
relative_absolute_error
0.9577014683389927
relative_absolute_error
0.9583066260741743
relative_absolute_error
0.9579842369622695
relative_absolute_error
0.9583367140946872
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
0.2888226866205718
root_mean_squared_error
0.28860285731874746
root_mean_squared_error
0.2888294153876574
root_mean_squared_error
0.2888840145338916
root_mean_squared_error
0.2886561830749827
root_mean_squared_error
0.2885811962548434
root_mean_squared_error
0.2887245872081572
root_mean_squared_error
0.28889208837229013
root_mean_squared_error
0.28880634474097977
root_mean_squared_error
0.2889148190311023
root_relative_squared_error
0.9627422887352399
root_relative_squared_error
0.9620095243958255
root_relative_squared_error
0.9627647179588585
root_relative_squared_error
0.9629467151129727
root_relative_squared_error
0.9621872769166095
root_relative_squared_error
0.9619373208494787
root_relative_squared_error
0.9624152906938579
root_relative_squared_error
0.9629736279076343
root_relative_squared_error
0.9626878158032665
root_relative_squared_error
0.9630493967703415
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
13528.710489999867
usercpu_time_millis
11816.302311000072
usercpu_time_millis
11587.440438999693
usercpu_time_millis
11156.651077000788
usercpu_time_millis
11054.298868000842
usercpu_time_millis
11107.662329999584
usercpu_time_millis
11300.786103999599
usercpu_time_millis
11341.934178000884
usercpu_time_millis
10941.505967000921
usercpu_time_millis
11101.759399000002
usercpu_time_millis_testing
126.99998500011134
usercpu_time_millis_testing
181.4749290006148
usercpu_time_millis_testing
138.23309399958816
usercpu_time_millis_testing
135.41454100050032
usercpu_time_millis_testing
132.14999200044986
usercpu_time_millis_testing
122.05165499926807
usercpu_time_millis_testing
129.37497799975972
usercpu_time_millis_testing
120.85583400039468
usercpu_time_millis_testing
123.27841100068326
usercpu_time_millis_testing
126.2867430004917
usercpu_time_millis_training
13401.710504999755
usercpu_time_millis_training
11634.827381999457
usercpu_time_millis_training
11449.207345000104
usercpu_time_millis_training
11021.236536000288
usercpu_time_millis_training
10922.148876000392
usercpu_time_millis_training
10985.610675000316
usercpu_time_millis_training
11171.411125999839
usercpu_time_millis_training
11221.078344000489
usercpu_time_millis_training
10818.227556000238
usercpu_time_millis_training
10975.47265599951