10326662
8323
Heinrich Peters
14
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8182333
add_indicator
false
12737
copy
true
12737
fill_value
null
12737
missing_values
NaN
12737
strategy
"most_frequent"
12737
verbose
0
12737
copy
true
13294
with_mean
true
13294
with_std
true
13294
C
117.86696136619535
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.4928250097564246
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
0.21199007562798622
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
54753
13389
shrinking
true
13389
tol
0.001
13389
verbose
false
13389
memory
null
16345
steps
[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
16345
verbose
false
16345
openml-python
Sklearn_0.21.2.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21575010
description
https://api.openml.org/data/download/21575010/description.xml
-1
21575011
predictions
https://api.openml.org/data/download/21575011/predictions.arff
area_under_roc_curve
0.6533333333333333 [0.8275,0.618333,0.7625,0.556389,0.654444,0.53,0.560278,0.719722,0.74,0.564167]
average_cost
0
f_measure
0.410879943964157 [0.791541,0.377953,0.688525,0.201207,0.255023,0.113208,0.213439,0.595318,0.648649,0.223938]
kappa
0.3066666666666667
kb_relative_information_score
0.34744732589014826
mean_absolute_error
0.12479999999999718
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7108011011326126 [1,0.888889,1,0.16835,0.150823,1,0.509434,0.89899,1,0.491525]
predictive_accuracy
0.376
prior_entropy
3.3219280948872383
recall
0.376 [0.655,0.24,0.525,0.25,0.825,0.06,0.135,0.445,0.48,0.145]
relative_absolute_error
0.6933333333332964
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.35327043465310987
root_relative_squared_error
1.1775681155103481
total_cost
0
area_under_roc_curve
0.6472222222222221 [0.825,0.691667,0.75,0.55,0.661111,0.55,0.597222,0.675,0.65,0.522222]
area_under_roc_curve
0.6861111111111111 [0.825,0.647222,0.825,0.522222,0.725,0.525,0.580556,0.797222,0.825,0.588889]
area_under_roc_curve
0.6611111111111111 [0.775,0.697222,0.725,0.525,0.683333,0.525,0.569444,0.722222,0.825,0.563889]
area_under_roc_curve
0.6555555555555556 [0.825,0.55,0.725,0.525,0.666667,0.6,0.622222,0.672222,0.775,0.594444]
area_under_roc_curve
0.6361111111111111 [0.8,0.65,0.725,0.658333,0.597222,0.55,0.494444,0.666667,0.7,0.519444]
area_under_roc_curve
0.65 [0.85,0.6,0.75,0.525,0.663889,0.525,0.541667,0.775,0.75,0.519444]
area_under_roc_curve
0.6694444444444444 [0.85,0.65,0.825,0.55,0.691667,0.5,0.541667,0.694444,0.775,0.616667]
area_under_roc_curve
0.6527777777777777 [0.825,0.625,0.75,0.547222,0.627778,0.5,0.613889,0.819444,0.625,0.594444]
area_under_roc_curve
0.6444444444444444 [0.825,0.575,0.775,0.661111,0.569444,0.5,0.522222,0.675,0.775,0.566667]
area_under_roc_curve
0.6305555555555555 [0.875,0.497222,0.775,0.5,0.658333,0.525,0.519444,0.7,0.7,0.555556]
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
f_measure
0.39721905016528664 [0.787879,0.516129,0.666667,0.181818,0.246914,0.181818,0.32,0.518519,0.461538,0.090909]
f_measure
0.4553049307516703 [0.787879,0.444444,0.787879,0.090909,0.28777,0.095238,0.258065,0.727273,0.787879,0.285714]
f_measure
0.41824086727757476 [0.709677,0.551724,0.62069,0.095238,0.25974,0.095238,0.24,0.6,0.787879,0.222222]
f_measure
0.4170943165103344 [0.787879,0.181818,0.62069,0.095238,0.25,0.333333,0.384615,0.5,0.709677,0.307692]
f_measure
0.37044968313695614 [0.75,0.461538,0.62069,0.245399,0.32,0.181818,0,0.466667,0.571429,0.086957]
f_measure
0.38857534149704764 [0.823529,0.333333,0.666667,0.095238,0.248447,0.095238,0.16,0.709677,0.666667,0.086957]
kappa
0.29444444444444445
kappa
0.3722222222222222
kappa
0.32222222222222224
kappa
0.3111111111111111
kappa
0.2722222222222222
kappa
0.3
kappa
0.33888888888888896
kappa
0.3055555555555556
kappa
0.2888888888888889
kappa
0.2611111111111111
kb_relative_information_score
0.3359439934939728
kb_relative_information_score
0.40914701783322033
kb_relative_information_score
0.36208793075798984
kb_relative_information_score
0.351630355852383
kb_relative_information_score
0.3150288436827593
kb_relative_information_score
0.3411727809467762
kb_relative_information_score
0.37777429311639993
kb_relative_information_score
0.34640156839957975
kb_relative_information_score
0.3307152060411695
kb_relative_information_score
0.3045712687771524
mean_absolute_error
0.1269999999999997
mean_absolute_error
0.11299999999999975
mean_absolute_error
0.12199999999999972
mean_absolute_error
0.12399999999999972
mean_absolute_error
0.1309999999999997
mean_absolute_error
0.12599999999999972
mean_absolute_error
0.11899999999999973
mean_absolute_error
0.12499999999999972
mean_absolute_error
0.1279999999999997
mean_absolute_error
0.13299999999999967
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]
precision
0.8168117797695262 [1,0.727273,1,1,0.140845,1,0.8,1,1,0.5]
precision
0.7311923370746899 [1,0.857143,1,0.5,0.168067,1,0.363636,0.923077,1,0.5]
precision
0.7966714048803601 [1,0.888889,1,1,0.149254,1,0.6,0.9,1,0.428571]
precision
0.8517857142857143 [1,1,1,1,0.142857,1,0.833333,0.875,1,0.666667]
precision
0.6973193473193473 [1,1,1,0.13986,0.8,1,0,0.7,1,0.333333]
precision
0.7875177304964539 [1,1,1,1,0.141844,1,0.4,1,1,0.333333]
predictive_accuracy
0.365
predictive_accuracy
0.435
predictive_accuracy
0.39
predictive_accuracy
0.38
predictive_accuracy
0.345
predictive_accuracy
0.37
predictive_accuracy
0.405
predictive_accuracy
0.375
predictive_accuracy
0.36
predictive_accuracy
0.335
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
prior_entropy
3.321928094887355
recall
0.365 [0.65,0.4,0.5,0.1,1,0.1,0.2,0.35,0.3,0.05]
recall
0.435 [0.65,0.3,0.65,0.05,1,0.05,0.2,0.6,0.65,0.2]
recall
0.39 [0.55,0.4,0.45,0.05,1,0.05,0.15,0.45,0.65,0.15]
recall
0.38 [0.65,0.1,0.45,0.05,1,0.2,0.25,0.35,0.55,0.2]
recall
0.345 [0.6,0.3,0.45,1,0.2,0.1,0,0.35,0.4,0.05]
recall
0.37 [0.7,0.2,0.5,0.05,1,0.05,0.1,0.55,0.5,0.05]
recall
0.405 [0.7,0.3,0.65,0.1,1,0,0.1,0.4,0.55,0.25]
recall
0.375 [0.65,0.25,0.5,0.1,0.9,0,0.25,0.65,0.25,0.2]
recall
0.36 [0.65,0.15,0.55,1,0.15,0,0.05,0.35,0.55,0.15]
recall
0.335 [0.75,0,0.55,0,1,0.05,0.05,0.4,0.4,0.15]
relative_absolute_error
0.7055555555555546
relative_absolute_error
0.6277777777777771
relative_absolute_error
0.677777777777777
relative_absolute_error
0.6888888888888881
relative_absolute_error
0.7277777777777769
relative_absolute_error
0.6999999999999993
relative_absolute_error
0.6611111111111104
relative_absolute_error
0.6944444444444435
relative_absolute_error
0.7111111111111103
relative_absolute_error
0.7388888888888878
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
0.3563705936241088
root_mean_squared_error
0.3361547262794319
root_mean_squared_error
0.34928498393145924
root_mean_squared_error
0.3521363372331798
root_mean_squared_error
0.36193922141707674
root_mean_squared_error
0.35496478698597655
root_mean_squared_error
0.3449637662132064
root_mean_squared_error
0.35355339059327334
root_mean_squared_error
0.3577708763999659
root_mean_squared_error
0.36469165057620895
root_relative_squared_error
1.1879019787470302
root_relative_squared_error
1.1205157542647737
root_relative_squared_error
1.1642832797715315
root_relative_squared_error
1.1737877907772667
root_relative_squared_error
1.2064640713902566
root_relative_squared_error
1.1832159566199225
root_relative_squared_error
1.1498792207106887
root_relative_squared_error
1.1785113019775786
root_relative_squared_error
1.1925695879998872
root_relative_squared_error
1.2156388352540304
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
1197.1081850060727
usercpu_time_millis
1208.3586720036692
usercpu_time_millis
1205.5108249987825
usercpu_time_millis
1209.997938000015
usercpu_time_millis
1211.6576280022855
usercpu_time_millis
1202.5495990019408
usercpu_time_millis
1189.3188750036643
usercpu_time_millis
1194.9449769963394
usercpu_time_millis
1194.5505339972442
usercpu_time_millis
1191.494430997409
usercpu_time_millis_testing
65.02204300340964
usercpu_time_millis_testing
65.6475590003538
usercpu_time_millis_testing
65.12727600056678
usercpu_time_millis_testing
65.38266599818598
usercpu_time_millis_testing
65.24305300263222
usercpu_time_millis_testing
64.16684400028316
usercpu_time_millis_testing
63.938767001673114
usercpu_time_millis_testing
64.78209999477258
usercpu_time_millis_testing
64.7006200015312
usercpu_time_millis_testing
64.82779700309038
usercpu_time_millis_training
1132.086142002663
usercpu_time_millis_training
1142.7111130033154
usercpu_time_millis_training
1140.3835489982157
usercpu_time_millis_training
1144.615272001829
usercpu_time_millis_training
1146.4145749996533
usercpu_time_millis_training
1138.3827550016576
usercpu_time_millis_training
1125.3801080019912
usercpu_time_millis_training
1130.1628770015668
usercpu_time_millis_training
1129.849913995713
usercpu_time_millis_training
1126.6666339943185
wall_clock_time_millis
1245.213270187378
wall_clock_time_millis
1208.470106124878
wall_clock_time_millis
1205.627679824829
wall_clock_time_millis
1210.099220275879
wall_clock_time_millis
1211.7836475372314
wall_clock_time_millis
1212.416648864746
wall_clock_time_millis
1189.4490718841553
wall_clock_time_millis
1236.5853786468506
wall_clock_time_millis
1194.678544998169
wall_clock_time_millis
1191.6542053222656
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
65.14358520507812
wall_clock_time_millis_testing
65.40060043334961
wall_clock_time_millis_testing
65.26970863342285
wall_clock_time_millis_testing
64.18442726135254
wall_clock_time_millis_testing
63.956260681152344
wall_clock_time_millis_testing
66.30897521972656
wall_clock_time_millis_testing
64.71729278564453
wall_clock_time_millis_testing
64.84436988830566
wall_clock_time_millis_training
1180.17578125
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
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