10372903
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)
8228246
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
12.383653966672204
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.7815414630792017
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
16551
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
21667511
description
https://api.openml.org/data/download/21667511/description.xml
-1
21667512
predictions
https://api.openml.org/data/download/21667512/predictions.arff
area_under_roc_curve
0.5288888888888889 [0.6275,0.544444,0.529444,0.506389,0.508889,0.51,0.51,0.5125,0.5325,0.507222]
average_cost
0
f_measure
0.13152288155029718 [0.406375,0.163636,0.186012,0.138648,0.141869,0.039216,0.039216,0.04878,0.122066,0.029412]
kappa
0.05777777777777777
kb_relative_information_score
0.11319764800455212
mean_absolute_error
0.16959999999999464
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.6973832138487311 [1,0.9,0.109266,0.106101,0.108466,1,1,1,1,0.75]
predictive_accuracy
0.152
prior_entropy
3.3219280948872383
recall
0.152 [0.255,0.09,0.625,0.2,0.205,0.02,0.02,0.025,0.065,0.015]
relative_absolute_error
0.9422222222221635
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.4118252056394735
root_relative_squared_error
1.3727506854648905
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
0.525 [0.6,0.525,0.525,0.5,0.5,0.5,0.525,0.55,0.525,0.5]
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
0.5305555555555554 [0.65,0.525,0.525,0.5,0.533333,0.525,0.5,0.525,0.5,0.522222]
area_under_roc_curve
0.5277777777777778 [0.575,0.575,0.5,0.527778,0.5,0.525,0.5,0.5,0.575,0.5]
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
0.5305555555555556 [0.625,0.55,0.530556,0.5,0.5,0.5,0.5,0.525,0.525,0.55]
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
0.5361111111111111 [0.65,0.55,0.55,0.536111,0.5,0.5,0.5,0.5,0.575,0.5]
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
0.04999999999999998
kappa
0.04444444444444445
kappa
0.0611111111111111
kappa
0.05555555555555554
kappa
0.0611111111111111
kappa
0.0611111111111111
kappa
0.0611111111111111
kappa
0.07222222222222223
kappa
0.05555555555555554
kb_relative_information_score
0.1111061330234275
kb_relative_information_score
0.105877345570624
kb_relative_information_score
0.10064855811782072
kb_relative_information_score
0.11633492047623019
kb_relative_information_score
0.11110613302342703
kb_relative_information_score
0.11633492047623023
kb_relative_information_score
0.11633492047623076
kb_relative_information_score
0.11633492047623076
kb_relative_information_score
0.12679249538183723
kb_relative_information_score
0.11110613302342723
mean_absolute_error
0.1699999999999997
mean_absolute_error
0.17099999999999974
mean_absolute_error
0.17199999999999974
mean_absolute_error
0.1689999999999997
mean_absolute_error
0.1699999999999997
mean_absolute_error
0.1689999999999997
mean_absolute_error
0.1689999999999997
mean_absolute_error
0.1689999999999997
mean_absolute_error
0.16699999999999968
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
0.145
predictive_accuracy
0.14
predictive_accuracy
0.155
predictive_accuracy
0.15
predictive_accuracy
0.155
predictive_accuracy
0.155
predictive_accuracy
0.155
predictive_accuracy
0.165
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
0.145 [0.2,0.05,1,0,0,0,0.05,0.1,0.05,0]
recall
0.14 [0.15,0.2,1,0,0,0.05,0,0,0,0]
recall
0.155 [0.3,0.05,0.05,0,1,0.05,0,0.05,0,0.05]
recall
0.15 [0.15,0.15,0,1,0,0.05,0,0,0.15,0]
recall
0.155 [0.35,0.1,0.1,0,1,0,0,0,0,0]
recall
0.155 [0.25,0.1,1,0,0,0,0,0.05,0.05,0.1]
recall
0.155 [0.3,0.05,1,0,0.05,0,0.05,0.05,0.05,0]
recall
0.165 [0.3,0.1,0.1,1,0,0,0,0,0.15,0]
recall
0.15 [0.35,0,1,0,0,0,0.05,0,0.1,0]
relative_absolute_error
0.9444444444444439
relative_absolute_error
0.9499999999999996
relative_absolute_error
0.9555555555555552
relative_absolute_error
0.9388888888888883
relative_absolute_error
0.9444444444444439
relative_absolute_error
0.9388888888888883
relative_absolute_error
0.9388888888888883
relative_absolute_error
0.9388888888888883
relative_absolute_error
0.927777777777777
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
0.41352146256270633
root_mean_squared_error
0.4147288270665541
root_mean_squared_error
0.41109609582188894
root_mean_squared_error
0.4123105625617657
root_mean_squared_error
0.41109609582188894
root_mean_squared_error
0.41109609582188894
root_mean_squared_error
0.41109609582188894
root_mean_squared_error
0.4086563348340506
root_mean_squared_error
0.4123105625617657
root_relative_squared_error
1.374368541872553
root_relative_squared_error
1.378404875209022
root_relative_squared_error
1.3824294235551813
root_relative_squared_error
1.3703203194062974
root_relative_squared_error
1.374368541872553
root_relative_squared_error
1.3703203194062974
root_relative_squared_error
1.3703203194062974
root_relative_squared_error
1.3703203194062974
root_relative_squared_error
1.3621877827801696
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
1293.530909002584
usercpu_time_millis
1138.945884998975
usercpu_time_millis
1150.7375209985184
usercpu_time_millis
1079.6960219995526
usercpu_time_millis
1113.295121002011
usercpu_time_millis
1145.0864760008699
usercpu_time_millis
1135.8050880007795
usercpu_time_millis
1156.3495760019578
usercpu_time_millis
1133.7091499990493
usercpu_time_millis
1110.158979001426
usercpu_time_millis_testing
50.35249700085842
usercpu_time_millis_testing
50.196725998830516
usercpu_time_millis_testing
50.269620998733444
usercpu_time_millis_testing
50.522882000223035
usercpu_time_millis_testing
50.28424299962353
usercpu_time_millis_testing
52.03547899873229
usercpu_time_millis_testing
50.315701999352314
usercpu_time_millis_testing
50.44332800025586
usercpu_time_millis_testing
50.260256000910886
usercpu_time_millis_testing
50.37628100035363
usercpu_time_millis_training
1243.1784120017255
usercpu_time_millis_training
1088.7491590001446
usercpu_time_millis_training
1100.467899999785
usercpu_time_millis_training
1029.1731399993296
usercpu_time_millis_training
1063.0108780023875
usercpu_time_millis_training
1093.0509970021376
usercpu_time_millis_training
1085.4893860014272
usercpu_time_millis_training
1105.906248001702
usercpu_time_millis_training
1083.4488939981384
usercpu_time_millis_training
1059.7826980010723
wall_clock_time_millis
1293.9467430114746
wall_clock_time_millis
1139.6713256835938
wall_clock_time_millis
1151.2227058410645
wall_clock_time_millis
1079.99849319458
wall_clock_time_millis
1113.633632659912
wall_clock_time_millis
1145.4625129699707
wall_clock_time_millis
1136.2345218658447
wall_clock_time_millis
1156.7695140838623
wall_clock_time_millis
1134.1640949249268
wall_clock_time_millis
1110.283613204956
wall_clock_time_millis_testing
50.36139488220215
wall_clock_time_millis_testing
50.223588943481445
wall_clock_time_millis_testing
50.27914047241211
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
50.292253494262695
wall_clock_time_millis_testing
52.09636688232422
wall_clock_time_millis_testing
50.3232479095459
wall_clock_time_millis_testing
50.542593002319336
wall_clock_time_millis_testing
50.267934799194336
wall_clock_time_millis_testing
50.38571357727051
wall_clock_time_millis_training
1243.5853481292725
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
1029.468059539795
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
1083.8961601257324
wall_clock_time_millis_training
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