10326814
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)
8182484
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
8543.388130486903
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.8306449462396814
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
53589
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
21575314
description
https://api.openml.org/data/download/21575314/description.xml
-1
21575315
predictions
https://api.openml.org/data/download/21575315/predictions.arff
area_under_roc_curve
0.5272222222222221 [0.6225,0.539444,0.525833,0.506111,0.506111,0.51,0.51,0.5125,0.5325,0.507222]
average_cost
0
f_measure
0.12799820931258984 [0.393574,0.146789,0.184113,0.138408,0.138408,0.039216,0.039216,0.04878,0.122066,0.029412]
kappa
0.05444444444444443
kb_relative_information_score
0.1100603755328701
mean_absolute_error
0.1701999999999946
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.6958637208637208 [1,0.888889,0.108108,0.10582,0.10582,1,1,1,1,0.75]
predictive_accuracy
0.149
prior_entropy
3.3219280948872383
recall
0.149 [0.245,0.08,0.62,0.2,0.2,0.02,0.02,0.025,0.065,0.015]
relative_absolute_error
0.9455555555554964
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.41255302689471884
root_relative_squared_error
1.3751767563157082
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
0.5194444444444444 [0.575,0.5,0.519444,0.5,0.5,0.5,0.525,0.55,0.525,0.5]
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
0.5277777777777778 [0.65,0.525,0.5,0.5,0.530556,0.525,0.5,0.525,0.5,0.522222]
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
0.5277777777777778 [0.6,0.55,0.527778,0.5,0.5,0.5,0.5,0.525,0.525,0.55]
area_under_roc_curve
0.5277777777777778 [0.65,0.525,0.527778,0.5,0.5,0.5,0.525,0.525,0.525,0.5]
area_under_roc_curve
0.5333333333333333 [0.65,0.525,0.55,0.533333,0.5,0.5,0.5,0.5,0.575,0.5]
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
0.03888888888888889
kappa
0.04444444444444445
kappa
0.05555555555555554
kappa
0.05555555555555554
kappa
0.0611111111111111
kappa
0.05555555555555554
kappa
0.05555555555555554
kappa
0.06666666666666667
kappa
0.05555555555555554
kb_relative_information_score
0.1111061330234275
kb_relative_information_score
0.09541977066501633
kb_relative_information_score
0.10064855811782072
kb_relative_information_score
0.1111061330234268
kb_relative_information_score
0.11110613302342703
kb_relative_information_score
0.11633492047623023
kb_relative_information_score
0.11110613302342737
kb_relative_information_score
0.11110613302342737
kb_relative_information_score
0.12156370792903383
kb_relative_information_score
0.11110613302342723
mean_absolute_error
0.1699999999999997
mean_absolute_error
0.17299999999999977
mean_absolute_error
0.17199999999999974
mean_absolute_error
0.1699999999999997
mean_absolute_error
0.1699999999999997
mean_absolute_error
0.1689999999999997
mean_absolute_error
0.1699999999999997
mean_absolute_error
0.1699999999999997
mean_absolute_error
0.16799999999999968
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
0.135
predictive_accuracy
0.14
predictive_accuracy
0.15
predictive_accuracy
0.15
predictive_accuracy
0.155
predictive_accuracy
0.15
predictive_accuracy
0.15
predictive_accuracy
0.16
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
0.135 [0.15,0,1,0,0,0,0.05,0.1,0.05,0]
recall
0.14 [0.15,0.2,1,0,0,0.05,0,0,0,0]
recall
0.15 [0.3,0.05,0,0,1,0.05,0,0.05,0,0.05]
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
0.15 [0.2,0.1,1,0,0,0,0,0.05,0.05,0.1]
recall
0.15 [0.3,0.05,1,0,0,0,0.05,0.05,0.05,0]
recall
0.16 [0.3,0.05,0.1,1,0,0,0,0,0.15,0]
recall
0.15 [0.35,0,1,0,0,0,0.05,0,0.1,0]
relative_absolute_error
0.9444444444444439
relative_absolute_error
0.9611111111111108
relative_absolute_error
0.9555555555555552
relative_absolute_error
0.9444444444444439
relative_absolute_error
0.9444444444444439
relative_absolute_error
0.9388888888888883
relative_absolute_error
0.9444444444444439
relative_absolute_error
0.9444444444444439
relative_absolute_error
0.9333333333333326
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
0.41593268686170815
root_mean_squared_error
0.4147288270665541
root_mean_squared_error
0.4123105625617657
root_mean_squared_error
0.4123105625617657
root_mean_squared_error
0.41109609582188894
root_mean_squared_error
0.4123105625617657
root_mean_squared_error
0.4123105625617657
root_mean_squared_error
0.4098780306383835
root_mean_squared_error
0.4123105625617657
root_relative_squared_error
1.374368541872553
root_relative_squared_error
1.386442289539028
root_relative_squared_error
1.3824294235551813
root_relative_squared_error
1.374368541872553
root_relative_squared_error
1.374368541872553
root_relative_squared_error
1.3703203194062974
root_relative_squared_error
1.374368541872553
root_relative_squared_error
1.374368541872553
root_relative_squared_error
1.3662601021279457
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
1191.324639999948
usercpu_time_millis
1156.330910998804
usercpu_time_millis
1173.1805809977232
usercpu_time_millis
1155.3892489973805
usercpu_time_millis
1172.6911720033968
usercpu_time_millis
1178.853909004829
usercpu_time_millis
1156.79725100199
usercpu_time_millis
1164.9951969957328
usercpu_time_millis
1181.6933119989699
usercpu_time_millis
1162.5479499998619
usercpu_time_millis_testing
65.18771900300635
usercpu_time_millis_testing
64.73696100147208
usercpu_time_millis_testing
64.24899600096978
usercpu_time_millis_testing
64.3802170015988
usercpu_time_millis_testing
65.05215499782935
usercpu_time_millis_testing
64.46120000327937
usercpu_time_millis_testing
64.35735800187103
usercpu_time_millis_testing
63.88222999521531
usercpu_time_millis_testing
64.7637579968432
usercpu_time_millis_testing
64.3057549968944
usercpu_time_millis_training
1126.1369209969416
usercpu_time_millis_training
1091.593949997332
usercpu_time_millis_training
1108.9315849967534
usercpu_time_millis_training
1091.0090319957817
usercpu_time_millis_training
1107.6390170055674
usercpu_time_millis_training
1114.3927090015495
usercpu_time_millis_training
1092.439893000119
usercpu_time_millis_training
1101.1129670005175
usercpu_time_millis_training
1116.9295540021267
usercpu_time_millis_training
1098.2421950029675
wall_clock_time_millis
1215.440034866333
wall_clock_time_millis
1332.5111865997314
wall_clock_time_millis
1269.299030303955
wall_clock_time_millis
1299.621343612671
wall_clock_time_millis
1292.8142547607422
wall_clock_time_millis
1327.0797729492188
wall_clock_time_millis
1201.2534141540527
wall_clock_time_millis
1313.3325576782227
wall_clock_time_millis
1405.8985710144043
wall_clock_time_millis
1238.7864589691162
wall_clock_time_millis_testing
65.21987915039062
wall_clock_time_millis_testing
128.74984741210938
wall_clock_time_millis_testing
64.26548957824707
wall_clock_time_millis_testing
64.39566612243652
wall_clock_time_millis_testing
65.06824493408203
wall_clock_time_millis_testing
64.47696685791016
wall_clock_time_millis_testing
64.39208984375
wall_clock_time_millis_testing
63.91310691833496
wall_clock_time_millis_testing
80.78169822692871
wall_clock_time_millis_testing
64.36038017272949
wall_clock_time_millis_training
1150.2201557159424
wall_clock_time_millis_training
1203.761339187622
wall_clock_time_millis_training
1205.033540725708
wall_clock_time_millis_training
1235.2256774902344
wall_clock_time_millis_training
1227.7460098266602
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
1325.1168727874756
wall_clock_time_millis_training
1174.4260787963867