10327013
8323
Heinrich Peters
16
Supervised Classification
16345
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1)
8182681
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
2579.7977095992815
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.44052506445029493
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.12147277677876417
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
52847
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.
16
mfeat-karhunen
https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff
-1
21575712
description
https://api.openml.org/data/download/21575712/description.xml
-1
21575713
predictions
https://api.openml.org/data/download/21575713/predictions.arff
area_under_roc_curve
0.8527777777777779 [0.8525,0.8225,0.8625,0.857222,0.8775,0.901111,0.8,0.865,0.854722,0.834722]
average_cost
0
f_measure
0.7850629424454272 [0.826979,0.784195,0.84058,0.831395,0.860399,0.879781,0.75,0.843931,0.433369,0.8]
kappa
0.7055555555555556
kb_relative_information_score
0.7228742650014328
mean_absolute_error
0.053000000000000484
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.923215283911117 [1,1,1,0.993056,1,0.96988,1,1,0.276625,0.992593]
predictive_accuracy
0.735
prior_entropy
3.3219280948872383
recall
0.735 [0.705,0.645,0.725,0.715,0.755,0.805,0.6,0.73,1,0.67]
relative_absolute_error
0.29444444444443807
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.2302172886644278
root_relative_squared_error
0.7673909622147477
total_cost
0
area_under_roc_curve
0.8444444444444444 [0.875,0.75,0.9,0.775,0.925,0.975,0.75,0.775,0.844444,0.875]
area_under_roc_curve
0.8583333333333334 [0.825,0.775,0.825,0.9,0.85,0.872222,0.925,0.9,0.861111,0.85]
area_under_roc_curve
0.85 [0.725,0.825,0.85,0.825,0.925,0.944444,0.825,0.85,0.855556,0.875]
area_under_roc_curve
0.8611111111111112 [0.85,0.85,0.9,0.85,0.85,0.85,0.875,0.875,0.861111,0.85]
area_under_roc_curve
0.8416666666666667 [0.85,0.825,0.85,0.875,0.875,0.969444,0.775,0.775,0.85,0.772222]
area_under_roc_curve
0.8305555555555556 [0.875,0.95,0.9,0.8,0.75,0.875,0.7,0.875,0.830556,0.75]
area_under_roc_curve
0.825 [0.875,0.75,0.775,0.875,0.85,0.8,0.775,0.875,0.825,0.85]
area_under_roc_curve
0.9027777777777777 [0.85,0.875,0.875,0.925,0.95,0.9,0.875,0.975,0.902778,0.9]
area_under_roc_curve
0.8694444444444446 [0.9,0.775,0.875,0.922222,0.875,0.9,0.775,0.95,0.872222,0.85]
area_under_roc_curve
0.8444444444444444 [0.9,0.85,0.875,0.825,0.925,0.925,0.725,0.8,0.844444,0.775]
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
0.7665807335162174 [0.857143,0.666667,0.888889,0.709677,0.918919,0.974359,0.666667,0.709677,0.416667,0.857143]
f_measure
0.79069682931163 [0.787879,0.709677,0.787879,0.888889,0.823529,0.833333,0.918919,0.888889,0.444444,0.823529]
f_measure
0.7742229227095617 [0.62069,0.787879,0.823529,0.787879,0.918919,0.9,0.787879,0.823529,0.434783,0.857143]
f_measure
0.7988795518207281 [0.823529,0.823529,0.888889,0.823529,0.823529,0.823529,0.857143,0.857143,0.444444,0.823529]
f_measure
0.760843934758989 [0.823529,0.787879,0.823529,0.857143,0.857143,0.926829,0.709677,0.709677,0.425532,0.6875]
f_measure
0.7458487390092392 [0.857143,0.947368,0.888889,0.75,0.666667,0.857143,0.571429,0.857143,0.39604,0.666667]
f_measure
0.7442858414897434 [0.857143,0.666667,0.709677,0.857143,0.823529,0.75,0.709677,0.857143,0.38835,0.823529]
f_measure
0.8546715408634911 [0.823529,0.857143,0.857143,0.918919,0.947368,0.888889,0.857143,0.974359,0.533333,0.888889]
f_measure
0.8042169284765537 [0.888889,0.709677,0.857143,0.894737,0.857143,0.888889,0.709677,0.947368,0.465116,0.823529]
f_measure
0.7692311524706997 [0.888889,0.823529,0.857143,0.787879,0.918919,0.918919,0.62069,0.75,0.416667,0.709677]
kappa
0.6888888888888889
kappa
0.7166666666666667
kappa
0.7
kappa
0.7222222222222222
kappa
0.6833333333333333
kappa
0.6611111111111111
kappa
0.65
kappa
0.8055555555555555
kappa
0.7388888888888889
kappa
0.6888888888888889
kb_relative_information_score
0.707187902643014
kb_relative_information_score
0.7333318399070309
kb_relative_information_score
0.7176454775486207
kb_relative_information_score
0.7385606273598343
kb_relative_information_score
0.7019591151902105
kb_relative_information_score
0.6810439653789969
kb_relative_information_score
0.6705863904733903
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.7542469897182446
kb_relative_information_score
0.707187902643014
mean_absolute_error
0.05599999999999996
mean_absolute_error
0.050999999999999976
mean_absolute_error
0.053999999999999965
mean_absolute_error
0.04999999999999998
mean_absolute_error
0.05699999999999996
mean_absolute_error
0.06099999999999994
mean_absolute_error
0.06299999999999993
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.05599999999999996
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
0.9263157894736842 [1,1,1,1,1,1,1,1,0.263158,1]
precision
0.9223214285714286 [1,1,1,1,1,0.9375,1,1,0.285714,1]
precision
0.9177777777777777 [1,1,1,1,1,0.9,1,1,0.277778,1]
precision
0.9285714285714286 [1,1,1,1,1,1,1,1,0.285714,1]
precision
0.9091698841698843 [1,1,1,1,1,0.904762,1,1,0.27027,0.916667]
precision
0.9246913580246914 [1,1,1,1,1,1,1,1,0.246914,1]
precision
0.9240963855421687 [1,1,1,1,1,1,1,1,0.240964,1]
precision
0.9363636363636364 [1,1,1,1,1,1,1,1,0.363636,1]
precision
0.9247474747474748 [1,1,1,0.944444,1,1,1,1,0.30303,1]
precision
0.9263157894736842 [1,1,1,1,1,1,1,1,0.263158,1]
predictive_accuracy
0.72
predictive_accuracy
0.745
predictive_accuracy
0.73
predictive_accuracy
0.75
predictive_accuracy
0.715
predictive_accuracy
0.695
predictive_accuracy
0.685
predictive_accuracy
0.825
predictive_accuracy
0.765
predictive_accuracy
0.72
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
0.72 [0.75,0.5,0.8,0.55,0.85,0.95,0.5,0.55,1,0.75]
recall
0.745 [0.65,0.55,0.65,0.8,0.7,0.75,0.85,0.8,1,0.7]
recall
0.73 [0.45,0.65,0.7,0.65,0.85,0.9,0.65,0.7,1,0.75]
recall
0.75 [0.7,0.7,0.8,0.7,0.7,0.7,0.75,0.75,1,0.7]
recall
0.715 [0.7,0.65,0.7,0.75,0.75,0.95,0.55,0.55,1,0.55]
recall
0.695 [0.75,0.9,0.8,0.6,0.5,0.75,0.4,0.75,1,0.5]
recall
0.685 [0.75,0.5,0.55,0.75,0.7,0.6,0.55,0.75,1,0.7]
recall
0.825 [0.7,0.75,0.75,0.85,0.9,0.8,0.75,0.95,1,0.8]
recall
0.765 [0.8,0.55,0.75,0.85,0.75,0.8,0.55,0.9,1,0.7]
recall
0.72 [0.8,0.7,0.75,0.65,0.85,0.85,0.45,0.6,1,0.55]
relative_absolute_error
0.3111111111111112
relative_absolute_error
0.28333333333333355
relative_absolute_error
0.30000000000000016
relative_absolute_error
0.277777777777778
relative_absolute_error
0.31666666666666676
relative_absolute_error
0.3388888888888889
relative_absolute_error
0.35
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.3111111111111112
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
0.23664319132398456
root_mean_squared_error
0.22583179581272425
root_mean_squared_error
0.23237900077244494
root_mean_squared_error
0.22360679774997894
root_mean_squared_error
0.23874672772626634
root_mean_squared_error
0.24698178070456928
root_mean_squared_error
0.25099800796022254
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.21679483388678797
root_mean_squared_error
0.23664319132398456
root_relative_squared_error
0.7888106377466158
root_relative_squared_error
0.7527726527090813
root_relative_squared_error
0.7745966692414835
root_relative_squared_error
0.7453559924999302
root_relative_squared_error
0.7958224257542216
root_relative_squared_error
0.8232726023485647
root_relative_squared_error
0.8366600265340756
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.7888106377466158
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
1070.1662810024573
usercpu_time_millis
1064.7486329980893
usercpu_time_millis
1064.0878580015851
usercpu_time_millis
1067.9919059984968
usercpu_time_millis
1071.4622189989313
usercpu_time_millis
1067.1797349932604
usercpu_time_millis
1069.8666730022524
usercpu_time_millis
1068.790794997767
usercpu_time_millis
1067.0197080034995
usercpu_time_millis
1076.4103670007898
usercpu_time_millis_testing
56.52898600237677
usercpu_time_millis_testing
56.52971899689874
usercpu_time_millis_testing
56.158859995775856
usercpu_time_millis_testing
56.525558000430465
usercpu_time_millis_testing
56.78789500234416
usercpu_time_millis_testing
56.422992995067034
usercpu_time_millis_testing
55.95422199985478
usercpu_time_millis_testing
59.07794099766761
usercpu_time_millis_testing
56.1903470006655
usercpu_time_millis_testing
56.46204499498708
usercpu_time_millis_training
1013.6372950000805
usercpu_time_millis_training
1008.2189140011906
usercpu_time_millis_training
1007.9289980058093
usercpu_time_millis_training
1011.4663479980663
usercpu_time_millis_training
1014.6743239965872
usercpu_time_millis_training
1010.7567419981933
usercpu_time_millis_training
1013.9124510023976
usercpu_time_millis_training
1009.7128540000995
usercpu_time_millis_training
1010.829361002834
usercpu_time_millis_training
1019.9483220058028
wall_clock_time_millis
1378.2875537872314
wall_clock_time_millis
1064.9676322937012
wall_clock_time_millis
1128.204345703125
wall_clock_time_millis
1240.0908470153809
wall_clock_time_millis
1175.7097244262695
wall_clock_time_millis
1067.2717094421387
wall_clock_time_millis
1272.5229263305664
wall_clock_time_millis
1168.907880783081
wall_clock_time_millis
1267.1313285827637
wall_clock_time_millis
1248.4972476959229
wall_clock_time_millis_testing
56.54406547546387
wall_clock_time_millis_testing
56.54501914978027
wall_clock_time_millis_testing
56.17213249206543
wall_clock_time_millis_testing
100.53563117980957
wall_clock_time_millis_testing
72.80278205871582
wall_clock_time_millis_testing
56.43868446350098
wall_clock_time_millis_testing
55.96780776977539
wall_clock_time_millis_testing
91.09330177307129
wall_clock_time_millis_testing
56.20551109313965
wall_clock_time_millis_testing
80.47890663146973
wall_clock_time_millis_training
1321.7434883117676
wall_clock_time_millis_training
1008.4226131439209
wall_clock_time_millis_training
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wall_clock_time_millis_training
1139.5552158355713
wall_clock_time_millis_training
1102.9069423675537
wall_clock_time_millis_training
1010.8330249786377
wall_clock_time_millis_training
1216.555118560791
wall_clock_time_millis_training
1077.8145790100098
wall_clock_time_millis_training
1210.925817489624
wall_clock_time_millis_training
1168.0183410644531