10327475
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)
8183142
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
14323.47583138456
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.19270740154340582
13389
decision_function_shape
"ovr"
13389
degree
4
13389
gamma
1.3587589842430956e-05
13389
kernel
"sigmoid"
13389
max_iter
-1
13389
probability
false
13389
random_state
39176
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
21576636
description
https://api.openml.org/data/download/21576636/description.xml
-1
21576637
predictions
https://api.openml.org/data/download/21576637/predictions.arff
area_under_roc_curve
0.975 [0.9925,0.970278,0.989444,0.971944,0.985833,0.956667,0.986111,0.977222,0.958611,0.961389]
average_cost
0
f_measure
0.9551497656704601 [0.992443,0.916067,0.984925,0.947631,0.972569,0.929293,0.975,0.955224,0.946015,0.932331]
kappa
0.95
kb_relative_information_score
0.952940912924771
mean_absolute_error
0.008999999999999984
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9557995107356541 [1,0.880184,0.989899,0.945274,0.970149,0.938776,0.975,0.950495,0.973545,0.934673]
predictive_accuracy
0.955
prior_entropy
3.3219280948872383
recall
0.955 [0.985,0.955,0.98,0.95,0.975,0.92,0.975,0.96,0.92,0.93]
relative_absolute_error
0.049999999999998365
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.09486832980505129
root_relative_squared_error
0.31622776601683283
total_cost
0
area_under_roc_curve
0.9694444444444446 [0.975,0.961111,1,0.972222,1,0.966667,0.975,0.975,0.897222,0.972222]
area_under_roc_curve
0.9805555555555557 [1,0.972222,1,0.95,0.975,0.969444,0.994444,0.972222,1,0.972222]
area_under_roc_curve
0.9777777777777779 [1,0.95,0.997222,0.991667,1,0.922222,1,0.95,0.975,0.991667]
area_under_roc_curve
0.977777777777778 [0.975,0.994444,1,0.947222,0.975,0.972222,0.997222,0.997222,0.972222,0.947222]
area_under_roc_curve
0.9611111111111111 [1,0.963889,0.975,0.941667,0.994444,0.944444,0.975,0.947222,0.922222,0.947222]
area_under_roc_curve
0.9777777777777777 [1,0.944444,0.997222,1,0.95,0.975,0.997222,0.969444,1,0.944444]
area_under_roc_curve
0.9666666666666667 [0.975,0.958333,0.975,0.947222,0.994444,0.897222,1,0.994444,0.975,0.95]
area_under_roc_curve
0.9777777777777779 [1,0.994444,0.95,1,0.994444,0.972222,0.975,0.997222,0.925,0.969444]
area_under_roc_curve
0.9750000000000001 [1,0.966667,1,0.972222,1,0.972222,1,0.994444,0.922222,0.922222]
area_under_roc_curve
0.9861111111111112 [1,0.997222,1,0.997222,0.975,0.975,0.947222,0.975,0.997222,0.997222]
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
0.9456340056340055 [0.974359,0.863636,1,0.95,1,0.904762,0.974359,0.974359,0.864865,0.95]
f_measure
0.9650937616085241 [1,0.95,1,0.947368,0.974359,0.926829,0.952381,0.95,1,0.95]
f_measure
0.959990753094613 [1,0.947368,0.97561,0.930233,1,0.894737,1,0.947368,0.974359,0.930233]
f_measure
0.9598472259447868 [0.974359,0.952381,1,0.923077,0.974359,0.95,0.97561,0.97561,0.95,0.923077]
f_measure
0.9303759300078372 [1,0.883721,0.974359,0.878049,0.952381,0.9,0.974359,0.923077,0.894737,0.923077]
f_measure
0.959977617589941 [1,0.9,0.97561,1,0.947368,0.974359,0.97561,0.926829,1,0.9]
f_measure
0.9407593481277691 [0.974359,0.844444,0.974359,0.923077,0.952381,0.864865,1,0.952381,0.974359,0.947368]
f_measure
0.9597847243482672 [1,0.952381,0.947368,1,0.952381,0.95,0.974359,0.97561,0.918919,0.926829]
f_measure
0.9546616541353383 [1,0.904762,1,0.95,1,0.95,1,0.952381,0.894737,0.894737]
f_measure
0.9748592870544088 [1,0.97561,1,0.97561,0.974359,0.974359,0.923077,0.974359,0.97561,0.97561]
kappa
0.9388888888888889
kappa
0.961111111111111
kappa
0.9555555555555555
kappa
0.9555555555555555
kappa
0.9222222222222223
kappa
0.9555555555555555
kappa
0.9333333333333332
kappa
0.9555555555555555
kappa
0.95
kappa
0.9722222222222222
kb_relative_information_score
0.9424833380191637
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9581697003775735
kb_relative_information_score
0.9581697003775735
kb_relative_information_score
0.9267969756607538
kb_relative_information_score
0.9581697003775735
kb_relative_information_score
0.9372545505663603
kb_relative_information_score
0.9581697003775735
kb_relative_information_score
0.9529409129247703
kb_relative_information_score
0.9738560627359836
mean_absolute_error
0.011
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.008
mean_absolute_error
0.008
mean_absolute_error
0.014000000000000002
mean_absolute_error
0.008
mean_absolute_error
0.012
mean_absolute_error
0.008
mean_absolute_error
0.009
mean_absolute_error
0.005
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
0.9496479500891265 [1,0.791667,1,0.95,1,0.863636,1,1,0.941176,0.95]
precision
0.9663852813852815 [1,0.95,1,1,1,0.904762,0.909091,0.95,1,0.95]
precision
0.9635955831608005 [1,1,0.952381,0.869565,1,0.944444,1,1,1,0.869565]
precision
0.9608589655958076 [1,0.909091,1,0.947368,1,0.95,0.952381,0.952381,0.95,0.947368]
precision
0.9331502009305213 [1,0.826087,1,0.857143,0.909091,0.9,1,0.947368,0.944444,0.947368]
precision
0.960952380952381 [1,0.9,0.952381,1,1,1,0.952381,0.904762,1,0.9]
precision
0.9466726709822686 [1,0.76,1,0.947368,0.909091,0.941176,1,0.909091,1,1]
precision
0.9625324675324676 [1,0.909091,1,1,0.909091,0.95,1,0.952381,1,0.904762]
precision
0.9561616161616162 [1,0.863636,1,0.95,1,0.95,1,0.909091,0.944444,0.944444]
precision
0.975689223057644 [1,0.952381,1,0.952381,1,1,0.947368,1,0.952381,0.952381]
predictive_accuracy
0.945
predictive_accuracy
0.965
predictive_accuracy
0.96
predictive_accuracy
0.96
predictive_accuracy
0.93
predictive_accuracy
0.96
predictive_accuracy
0.94
predictive_accuracy
0.96
predictive_accuracy
0.955
predictive_accuracy
0.975
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
0.945 [0.95,0.95,1,0.95,1,0.95,0.95,0.95,0.8,0.95]
recall
0.965 [1,0.95,1,0.9,0.95,0.95,1,0.95,1,0.95]
recall
0.96 [1,0.9,1,1,1,0.85,1,0.9,0.95,1]
recall
0.96 [0.95,1,1,0.9,0.95,0.95,1,1,0.95,0.9]
recall
0.93 [1,0.95,0.95,0.9,1,0.9,0.95,0.9,0.85,0.9]
recall
0.96 [1,0.9,1,1,0.9,0.95,1,0.95,1,0.9]
recall
0.94 [0.95,0.95,0.95,0.9,1,0.8,1,1,0.95,0.9]
recall
0.96 [1,1,0.9,1,1,0.95,0.95,1,0.85,0.95]
recall
0.955 [1,0.95,1,0.95,1,0.95,1,1,0.85,0.85]
recall
0.975 [1,1,1,1,0.95,0.95,0.9,0.95,1,1]
relative_absolute_error
0.06111111111111117
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.0444444444444445
relative_absolute_error
0.0444444444444445
relative_absolute_error
0.07777777777777788
relative_absolute_error
0.0444444444444445
relative_absolute_error
0.06666666666666674
relative_absolute_error
0.0444444444444445
relative_absolute_error
0.05000000000000005
relative_absolute_error
0.027777777777777807
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
0.10488088481701516
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.08944271909999159
root_mean_squared_error
0.08944271909999159
root_mean_squared_error
0.11832159566199232
root_mean_squared_error
0.08944271909999159
root_mean_squared_error
0.10954451150103323
root_mean_squared_error
0.08944271909999159
root_mean_squared_error
0.09486832980505137
root_mean_squared_error
0.07071067811865475
root_relative_squared_error
0.34960294939005077
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.29814239699997214
root_relative_squared_error
0.29814239699997214
root_relative_squared_error
0.394405318873308
root_relative_squared_error
0.29814239699997214
root_relative_squared_error
0.36514837167011094
root_relative_squared_error
0.29814239699997214
root_relative_squared_error
0.31622776601683816
root_relative_squared_error
0.235702260395516
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
217.2103779957979
usercpu_time_millis
217.17730599630158
usercpu_time_millis
219.32570500212023
usercpu_time_millis
216.59530300530605
usercpu_time_millis
221.75569200044265
usercpu_time_millis
212.08569900045404
usercpu_time_millis
220.31492200767389
usercpu_time_millis
220.3135379968444
usercpu_time_millis
223.59897399292095
usercpu_time_millis
223.60366800421616
usercpu_time_millis_testing
21.59520599525422
usercpu_time_millis_testing
21.64481899671955
usercpu_time_millis_testing
22.3928289997275
usercpu_time_millis_testing
22.087513003498316
usercpu_time_millis_testing
22.67529600067064
usercpu_time_millis_testing
22.4384809989715
usercpu_time_millis_testing
22.611292006331496
usercpu_time_millis_testing
21.96704800007865
usercpu_time_millis_testing
22.496271994896233
usercpu_time_millis_testing
21.739918003731873
usercpu_time_millis_training
195.61517200054368
usercpu_time_millis_training
195.53248699958203
usercpu_time_millis_training
196.93287600239273
usercpu_time_millis_training
194.50779000180773
usercpu_time_millis_training
199.080395999772
usercpu_time_millis_training
189.64721800148254
usercpu_time_millis_training
197.7036300013424
usercpu_time_millis_training
198.34648999676574
usercpu_time_millis_training
201.1027019980247
usercpu_time_millis_training
201.8637500004843
wall_clock_time_millis
233.24108123779297
wall_clock_time_millis
217.2391414642334
wall_clock_time_millis
219.36631202697754
wall_clock_time_millis
216.62545204162598
wall_clock_time_millis
269.7901725769043
wall_clock_time_millis
212.11767196655273
wall_clock_time_millis
252.3500919342041
wall_clock_time_millis
220.34573554992676
wall_clock_time_millis
343.05286407470703
wall_clock_time_millis
223.63519668579102
wall_clock_time_millis_testing
21.607637405395508
wall_clock_time_millis_testing
21.654129028320312
wall_clock_time_millis_testing
22.403955459594727
wall_clock_time_millis_testing
22.098302841186523
wall_clock_time_millis_testing
22.701263427734375
wall_clock_time_millis_testing
22.450923919677734
wall_clock_time_millis_testing
22.625207901000977
wall_clock_time_millis_testing
21.979093551635742
wall_clock_time_millis_testing
22.509336471557617
wall_clock_time_millis_testing
21.752595901489258
wall_clock_time_millis_training
211.63344383239746
wall_clock_time_millis_training
195.5850124359131
wall_clock_time_millis_training
196.9623565673828
wall_clock_time_millis_training
194.52714920043945
wall_clock_time_millis_training
247.08890914916992
wall_clock_time_millis_training
189.666748046875
wall_clock_time_millis_training
229.72488403320312
wall_clock_time_millis_training
198.36664199829102
wall_clock_time_millis_training
320.5435276031494
wall_clock_time_millis_training
201.88260078430176