10372889
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)
8228232
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
100.71486959612244
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.8143202599488542
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
0.7425096551560258
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
2407
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
21667483
description
https://api.openml.org/data/download/21667483/description.xml
-1
21667484
predictions
https://api.openml.org/data/download/21667484/predictions.arff
area_under_roc_curve
0.5302777777777778 [0.635,0.544444,0.53,0.506944,0.511667,0.51,0.51,0.5125,0.535,0.507222]
average_cost
0
f_measure
0.1347046235806314 [0.425197,0.163636,0.186289,0.13913,0.145329,0.039216,0.039216,0.04878,0.130841,0.029412]
kappa
0.06055555555555554
kb_relative_information_score
0.11581204173095387
mean_absolute_error
0.16909999999999467
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.6977234870597392 [1,0.9,0.109457,0.106667,0.111111,1,1,1,1,0.75]
predictive_accuracy
0.1545
prior_entropy
3.3219280948872383
recall
0.1545 [0.27,0.09,0.625,0.2,0.21,0.02,0.02,0.025,0.07,0.015]
relative_absolute_error
0.9394444444443859
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.4112177038990353
root_relative_squared_error
1.37072567966343
total_cost
0
area_under_roc_curve
0.5277777777777778 [0.6,0.547222,0.530556,0.5,0.5,0.525,0.525,0.5,0.55,0.5]
area_under_roc_curve
0.5277777777777778 [0.625,0.525,0.527778,0.5,0.5,0.5,0.525,0.55,0.525,0.5]
area_under_roc_curve
0.5222222222222223 [0.575,0.597222,0.525,0.5,0.5,0.525,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5333333333333333 [0.65,0.525,0.525,0.5,0.536111,0.525,0.5,0.525,0.525,0.522222]
area_under_roc_curve
0.5305555555555556 [0.6,0.575,0.5,0.530556,0.5,0.525,0.5,0.5,0.575,0.5]
area_under_roc_curve
0.5305555555555556 [0.675,0.55,0.55,0.5,0.530556,0.5,0.5,0.5,0.5,0.5]
area_under_roc_curve
0.5333333333333333 [0.65,0.55,0.533333,0.5,0.5,0.5,0.5,0.525,0.525,0.55]
area_under_roc_curve
0.5305555555555556 [0.65,0.525,0.530556,0.5,0.525,0.5,0.525,0.525,0.525,0.5]
area_under_roc_curve
0.5388888888888889 [0.65,0.55,0.55,0.538889,0.525,0.5,0.5,0.5,0.575,0.5]
area_under_roc_curve
0.5277777777777778 [0.675,0.5,0.527778,0.5,0.5,0.5,0.525,0.5,0.55,0.5]
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
0.05555555555555554
kappa
0.05555555555555554
kappa
0.04444444444444445
kappa
0.06666666666666667
kappa
0.0611111111111111
kappa
0.0611111111111111
kappa
0.06666666666666667
kappa
0.0611111111111111
kappa
0.07777777777777778
kappa
0.05555555555555554
kb_relative_information_score
0.1111061330234275
kb_relative_information_score
0.1111061330234274
kb_relative_information_score
0.10064855811782072
kb_relative_information_score
0.1215637079290336
kb_relative_information_score
0.11633492047623044
kb_relative_information_score
0.11633492047623023
kb_relative_information_score
0.12156370792903415
kb_relative_information_score
0.11633492047623076
kb_relative_information_score
0.13202128283464062
kb_relative_information_score
0.11110613302342723
mean_absolute_error
0.1699999999999997
mean_absolute_error
0.1699999999999997
mean_absolute_error
0.17199999999999974
mean_absolute_error
0.16799999999999968
mean_absolute_error
0.1689999999999997
mean_absolute_error
0.1689999999999997
mean_absolute_error
0.16799999999999968
mean_absolute_error
0.1689999999999997
mean_absolute_error
0.16599999999999965
mean_absolute_error
0.1699999999999997
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
0.15
predictive_accuracy
0.15
predictive_accuracy
0.14
predictive_accuracy
0.16
predictive_accuracy
0.155
predictive_accuracy
0.155
predictive_accuracy
0.16
predictive_accuracy
0.155
predictive_accuracy
0.17
predictive_accuracy
0.15
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
0.15 [0.2,0.1,1,0,0,0.05,0.05,0,0.1,0]
recall
0.15 [0.25,0.05,1,0,0,0,0.05,0.1,0.05,0]
recall
0.14 [0.15,0.2,1,0,0,0.05,0,0,0,0]
recall
0.16 [0.3,0.05,0.05,0,1,0.05,0,0.05,0.05,0.05]
recall
0.155 [0.2,0.15,0,1,0,0.05,0,0,0.15,0]
recall
0.155 [0.35,0.1,0.1,0,1,0,0,0,0,0]
recall
0.16 [0.3,0.1,1,0,0,0,0,0.05,0.05,0.1]
recall
0.155 [0.3,0.05,1,0,0.05,0,0.05,0.05,0.05,0]
recall
0.17 [0.3,0.1,0.1,1,0.05,0,0,0,0.15,0]
recall
0.15 [0.35,0,1,0,0,0,0.05,0,0.1,0]
relative_absolute_error
0.9444444444444439
relative_absolute_error
0.9444444444444439
relative_absolute_error
0.9555555555555552
relative_absolute_error
0.9333333333333326
relative_absolute_error
0.9388888888888883
relative_absolute_error
0.9388888888888883
relative_absolute_error
0.9333333333333326
relative_absolute_error
0.9388888888888883
relative_absolute_error
0.9222222222222213
relative_absolute_error
0.9444444444444439
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
0.4123105625617657
root_mean_squared_error
0.4123105625617657
root_mean_squared_error
0.4147288270665541
root_mean_squared_error
0.4098780306383835
root_mean_squared_error
0.41109609582188894
root_mean_squared_error
0.41109609582188894
root_mean_squared_error
0.4098780306383835
root_mean_squared_error
0.41109609582188894
root_mean_squared_error
0.40743097574926684
root_mean_squared_error
0.4123105625617657
root_relative_squared_error
1.374368541872553
root_relative_squared_error
1.374368541872553
root_relative_squared_error
1.3824294235551813
root_relative_squared_error
1.3662601021279457
root_relative_squared_error
1.3703203194062974
root_relative_squared_error
1.3703203194062974
root_relative_squared_error
1.3662601021279457
root_relative_squared_error
1.3703203194062974
root_relative_squared_error
1.358103252497557
root_relative_squared_error
1.374368541872553
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
1526.3669449996087
usercpu_time_millis
1536.2989559980633
usercpu_time_millis
1570.6744539966166
usercpu_time_millis
1473.3860789965547
usercpu_time_millis
1538.3764859980147
usercpu_time_millis
1579.4846859971585
usercpu_time_millis
1548.2553919973725
usercpu_time_millis
1508.491372998833
usercpu_time_millis
1562.5332550007442
usercpu_time_millis
1521.1411979980767
usercpu_time_millis_testing
76.59769399833749
usercpu_time_millis_testing
77.42515700010699
usercpu_time_millis_testing
77.32601199677447
usercpu_time_millis_testing
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usercpu_time_millis_testing
76.99431799846934
usercpu_time_millis_testing
79.03758199972799
usercpu_time_millis_testing
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usercpu_time_millis_testing
76.5640550016542
usercpu_time_millis_testing
77.31337999939569
usercpu_time_millis_testing
76.91729499856592
usercpu_time_millis_training
1449.7692510012712
usercpu_time_millis_training
1458.8737989979563
usercpu_time_millis_training
1493.3484419998422
usercpu_time_millis_training
1396.342290998291
usercpu_time_millis_training
1461.3821679995453
usercpu_time_millis_training
1500.4471039974305
usercpu_time_millis_training
1471.776124999451
usercpu_time_millis_training
1431.9273179971788
usercpu_time_millis_training
1485.2198750013486
usercpu_time_millis_training
1444.2239029995108
wall_clock_time_millis
1526.695728302002
wall_clock_time_millis
1536.797046661377
wall_clock_time_millis
1570.7707405090332
wall_clock_time_millis
1473.7615585327148
wall_clock_time_millis
1538.4082794189453
wall_clock_time_millis
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wall_clock_time_millis
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wall_clock_time_millis
1509.0956687927246
wall_clock_time_millis
1563.063383102417
wall_clock_time_millis
1521.4412212371826
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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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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wall_clock_time_millis_training
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wall_clock_time_millis_training
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