10328510
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)
8184157
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
42.03453601523461
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.8118391608567521
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.21044312628672723
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
39371
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
21578706
description
https://api.openml.org/data/download/21578706/description.xml
-1
21578707
predictions
https://api.openml.org/data/download/21578707/predictions.arff
area_under_roc_curve
0.6544444444444445 [0.8275,0.623333,0.7625,0.556667,0.655556,0.5325,0.562778,0.719722,0.74,0.563889]
average_cost
0
f_measure
0.41376986984990954 [0.791541,0.390625,0.688525,0.201613,0.255814,0.122066,0.220472,0.595318,0.648649,0.223077]
kappa
0.30888888888888894
kb_relative_information_score
0.3495388408712696
mean_absolute_error
0.12439999999999721
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7113993959406804 [1,0.892857,1,0.168919,0.151376,1,0.518519,0.89899,1,0.483333]
predictive_accuracy
0.37799999999999995
prior_entropy
3.3219280948872383
recall
0.378 [0.655,0.25,0.525,0.25,0.825,0.065,0.14,0.445,0.48,0.145]
relative_absolute_error
0.6911111111110744
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.352703841770964
root_relative_squared_error
1.1756794725698618
total_cost
0
area_under_roc_curve
0.65 [0.825,0.691667,0.75,0.55,0.663889,0.55,0.622222,0.675,0.65,0.522222]
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
0.6638888888888889 [0.775,0.722222,0.725,0.525,0.686111,0.525,0.569444,0.722222,0.825,0.563889]
area_under_roc_curve
0.6583333333333333 [0.825,0.55,0.725,0.525,0.669444,0.625,0.622222,0.672222,0.775,0.594444]
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
0.6555555555555556 [0.825,0.65,0.75,0.547222,0.630556,0.5,0.613889,0.819444,0.625,0.594444]
area_under_roc_curve
0.6444444444444444 [0.825,0.575,0.775,0.663889,0.569444,0.5,0.522222,0.675,0.775,0.563889]
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
0.40383395109902814 [0.787879,0.516129,0.666667,0.181818,0.248447,0.181818,0.384615,0.518519,0.461538,0.090909]
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
0.4232382183601186 [0.709677,0.6,0.62069,0.095238,0.261438,0.095238,0.24,0.6,0.787879,0.222222]
f_measure
0.4239182158814036 [0.787879,0.181818,0.62069,0.095238,0.251572,0.4,0.384615,0.5,0.709677,0.307692]
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
0.3
kappa
0.3722222222222222
kappa
0.32777777777777783
kappa
0.3166666666666667
kappa
0.2722222222222222
kappa
0.3
kappa
0.33888888888888896
kappa
0.3111111111111111
kappa
0.2888888888888889
kappa
0.2611111111111111
kb_relative_information_score
0.3411727809467762
kb_relative_information_score
0.40914701783322033
kb_relative_information_score
0.3673167182107933
kb_relative_information_score
0.35685914330518637
kb_relative_information_score
0.3150288436827593
kb_relative_information_score
0.3411727809467762
kb_relative_information_score
0.37777429311639993
kb_relative_information_score
0.3516303558523831
kb_relative_information_score
0.3307152060411695
kb_relative_information_score
0.3045712687771524
mean_absolute_error
0.12599999999999972
mean_absolute_error
0.11299999999999975
mean_absolute_error
0.12099999999999973
mean_absolute_error
0.12299999999999972
mean_absolute_error
0.1309999999999997
mean_absolute_error
0.12599999999999972
mean_absolute_error
0.11899999999999973
mean_absolute_error
0.12399999999999972
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
0.8202450032237266 [1,0.727273,1,1,0.141844,1,0.833333,1,1,0.5]
precision
0.7311923370746899 [1,0.857143,1,0.5,0.168067,1,0.363636,0.923077,1,0.5]
precision
0.7978947368421053 [1,0.9,1,1,0.150376,1,0.6,0.9,1,0.428571]
precision
0.8518884892086332 [1,1,1,1,0.143885,1,0.833333,0.875,1,0.666667]
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
0.37
predictive_accuracy
0.435
predictive_accuracy
0.395
predictive_accuracy
0.385
predictive_accuracy
0.345
predictive_accuracy
0.37
predictive_accuracy
0.405
predictive_accuracy
0.38
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
0.37 [0.65,0.4,0.5,0.1,1,0.1,0.25,0.35,0.3,0.05]
recall
0.435 [0.65,0.3,0.65,0.05,1,0.05,0.2,0.6,0.65,0.2]
recall
0.395 [0.55,0.45,0.45,0.05,1,0.05,0.15,0.45,0.65,0.15]
recall
0.385 [0.65,0.1,0.45,0.05,1,0.25,0.25,0.35,0.55,0.2]
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
0.38 [0.65,0.3,0.5,0.1,0.9,0,0.25,0.65,0.25,0.2]
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
0.6999999999999993
relative_absolute_error
0.6277777777777771
relative_absolute_error
0.6722222222222214
relative_absolute_error
0.6833333333333326
relative_absolute_error
0.7277777777777769
relative_absolute_error
0.6999999999999993
relative_absolute_error
0.6611111111111104
relative_absolute_error
0.6888888888888881
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
0.35496478698597655
root_mean_squared_error
0.3361547262794319
root_mean_squared_error
0.34785054261852133
root_mean_squared_error
0.35071355833500323
root_mean_squared_error
0.36193922141707674
root_mean_squared_error
0.35496478698597655
root_mean_squared_error
0.3449637662132064
root_mean_squared_error
0.3521363372331798
root_mean_squared_error
0.3577708763999659
root_mean_squared_error
0.36469165057620895
root_relative_squared_error
1.1832159566199225
root_relative_squared_error
1.1205157542647737
root_relative_squared_error
1.159501808728405
root_relative_squared_error
1.1690451944500113
root_relative_squared_error
1.2064640713902566
root_relative_squared_error
1.1832159566199225
root_relative_squared_error
1.1498792207106887
root_relative_squared_error
1.1737877907772667
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
1195.619671001623
usercpu_time_millis
1190.9089150067302
usercpu_time_millis
1199.2010739995749
usercpu_time_millis
1218.3689090015832
usercpu_time_millis
1189.1055800078902
usercpu_time_millis
1194.9290219927207
usercpu_time_millis
1208.5239769949112
usercpu_time_millis
1210.095028996875
usercpu_time_millis
1197.334589996899
usercpu_time_millis
1188.6307079985272
usercpu_time_millis_testing
65.76183599827345
usercpu_time_millis_testing
64.53696600510739
usercpu_time_millis_testing
66.43673600046895
usercpu_time_millis_testing
63.91625499963993
usercpu_time_millis_testing
64.01450800331077
usercpu_time_millis_testing
65.13299099606229
usercpu_time_millis_testing
65.0373859971296
usercpu_time_millis_testing
65.10467999760294
usercpu_time_millis_testing
63.816591995419
usercpu_time_millis_testing
65.59687199478503
usercpu_time_millis_training
1129.8578350033495
usercpu_time_millis_training
1126.3719490016229
usercpu_time_millis_training
1132.764337999106
usercpu_time_millis_training
1154.4526540019433
usercpu_time_millis_training
1125.0910720045795
usercpu_time_millis_training
1129.7960309966584
usercpu_time_millis_training
1143.4865909977816
usercpu_time_millis_training
1144.990348999272
usercpu_time_millis_training
1133.51799800148
usercpu_time_millis_training
1123.0338360037422
wall_clock_time_millis
1403.8372039794922
wall_clock_time_millis
1219.1734313964844
wall_clock_time_millis
1379.4159889221191
wall_clock_time_millis
1378.509521484375
wall_clock_time_millis
1301.2607097625732
wall_clock_time_millis
1239.3097877502441
wall_clock_time_millis
1224.6429920196533
wall_clock_time_millis
1226.226568222046
wall_clock_time_millis
1425.492286682129
wall_clock_time_millis
1220.7372188568115
wall_clock_time_millis_testing
65.77849388122559
wall_clock_time_millis_testing
64.55278396606445
wall_clock_time_millis_testing
66.45417213439941
wall_clock_time_millis_testing
63.933610916137695
wall_clock_time_millis_testing
80.02972602844238
wall_clock_time_millis_testing
65.15049934387207
wall_clock_time_millis_testing
65.05274772644043
wall_clock_time_millis_testing
65.12212753295898
wall_clock_time_millis_testing
63.832759857177734
wall_clock_time_millis_testing
65.61422348022461
wall_clock_time_millis_training
1338.0587100982666
wall_clock_time_millis_training
1154.62064743042
wall_clock_time_millis_training
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wall_clock_time_millis_training
1314.5759105682373
wall_clock_time_millis_training
1221.2309837341309
wall_clock_time_millis_training
1174.159288406372
wall_clock_time_millis_training
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wall_clock_time_millis_training
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wall_clock_time_millis_training
1361.6595268249512
wall_clock_time_millis_training
1155.122995376587