10327033
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)
8182701
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
0.16325663015546255
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.7270029854979925
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.00779721868752527
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
60752
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
21575752
description
https://api.openml.org/data/download/21575752/description.xml
-1
21575753
predictions
https://api.openml.org/data/download/21575753/predictions.arff
area_under_roc_curve
0.9733333333333333 [0.981389,0.978889,0.991389,0.966389,0.982778,0.950833,0.978889,0.974167,0.961944,0.966667]
average_cost
0
f_measure
0.9520446390181654 [0.972292,0.932692,0.982544,0.937656,0.965174,0.935401,0.950739,0.966921,0.937028,0.94]
kappa
0.9466666666666667
kb_relative_information_score
0.9498036404530893
mean_absolute_error
0.009599999999999982
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.9527088542279945 [0.979695,0.898148,0.9801,0.935323,0.960396,0.967914,0.936893,0.984456,0.944162,0.94]
predictive_accuracy
0.9520000000000001
prior_entropy
3.3219280948872383
recall
0.952 [0.965,0.97,0.985,0.94,0.97,0.905,0.965,0.95,0.93,0.94]
relative_absolute_error
0.05333333333333159
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.09797958971132703
root_relative_squared_error
0.3265986323710851
total_cost
0
area_under_roc_curve
0.9694444444444446 [0.972222,0.966667,1,0.947222,1,0.972222,0.969444,0.972222,0.897222,0.997222]
area_under_roc_curve
0.9694444444444444 [0.997222,0.969444,0.975,0.972222,0.95,0.972222,0.963889,0.975,0.95,0.969444]
area_under_roc_curve
0.9777777777777777 [0.95,0.997222,0.994444,0.975,1,0.969444,1,0.95,0.969444,0.972222]
area_under_roc_curve
0.9805555555555554 [0.975,0.997222,0.997222,0.975,0.975,0.95,0.994444,1,0.994444,0.947222]
area_under_roc_curve
0.9555555555555557 [0.997222,0.988889,0.947222,0.916667,0.972222,0.925,0.966667,0.947222,0.922222,0.972222]
area_under_roc_curve
0.975 [0.997222,0.944444,1,0.975,0.972222,0.95,1,0.972222,0.994444,0.944444]
area_under_roc_curve
0.9805555555555557 [0.975,0.963889,1,0.997222,0.997222,0.95,1,0.975,0.975,0.972222]
area_under_roc_curve
0.975 [0.975,0.969444,1,0.994444,0.991667,0.925,0.975,1,0.947222,0.972222]
area_under_roc_curve
0.975 [0.975,0.997222,1,0.963889,0.997222,0.919444,0.975,0.975,1,0.947222]
area_under_roc_curve
0.975 [1,0.994444,1,0.947222,0.972222,0.975,0.944444,0.975,0.969444,0.972222]
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
0.9445142717093935 [0.95,0.904762,1,0.923077,1,0.95,0.926829,0.95,0.864865,0.97561]
f_measure
0.9456444013738696 [0.97561,0.926829,0.974359,0.95,0.947368,0.95,0.883721,0.974359,0.947368,0.926829]
f_measure
0.9600745061528115 [0.947368,0.97561,0.952381,0.974359,1,0.926829,1,0.947368,0.926829,0.95]
f_measure
0.9649503684163503 [0.974359,0.97561,0.97561,0.974359,0.974359,0.947368,0.952381,1,0.952381,0.923077]
f_measure
0.9199272177128403 [0.97561,0.909091,0.923077,0.85,0.95,0.918919,0.904762,0.923077,0.894737,0.95]
f_measure
0.9549718103890119 [0.97561,0.9,1,0.974359,0.95,0.947368,1,0.95,0.952381,0.9]
f_measure
0.9655385786557233 [0.974359,0.883721,1,0.97561,0.97561,0.947368,1,0.974359,0.974359,0.95]
f_measure
0.9550156569526961 [0.974359,0.926829,1,0.952381,0.930233,0.918919,0.974359,1,0.923077,0.95]
f_measure
0.9552889160376397 [0.974359,0.97561,1,0.883721,0.97561,0.871795,0.974359,0.974359,1,0.923077]
f_measure
0.9551005092468506 [1,0.952381,1,0.923077,0.95,0.974359,0.9,0.974359,0.926829,0.95]
kappa
0.9388888888888889
kappa
0.9388888888888889
kappa
0.9555555555555555
kappa
0.961111111111111
kappa
0.9111111111111112
kappa
0.95
kappa
0.961111111111111
kappa
0.95
kappa
0.95
kappa
0.95
kb_relative_information_score
0.9424833380191637
kb_relative_information_score
0.9424833380191637
kb_relative_information_score
0.9581697003775735
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9163394007551472
kb_relative_information_score
0.9529409129247703
kb_relative_information_score
0.963398487830377
kb_relative_information_score
0.9529409129247703
kb_relative_information_score
0.9529409129247703
kb_relative_information_score
0.9529409129247703
mean_absolute_error
0.011
mean_absolute_error
0.011
mean_absolute_error
0.008
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.016000000000000004
mean_absolute_error
0.009
mean_absolute_error
0.006999999999999999
mean_absolute_error
0.009
mean_absolute_error
0.009
mean_absolute_error
0.009
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
0.9459324112420088 [0.95,0.863636,1,0.947368,1,0.95,0.904762,0.95,0.941176,0.952381]
precision
0.9487991718426501 [0.952381,0.904762,1,0.95,1,0.95,0.826087,1,1,0.904762]
precision
0.9620995670995671 [1,0.952381,0.909091,1,1,0.904762,1,1,0.904762,0.95]
precision
0.9670312143996356 [1,0.952381,0.952381,1,1,1,0.909091,1,0.909091,0.947368]
precision
0.9238531935900357 [0.952381,0.833333,0.947368,0.85,0.95,1,0.863636,0.947368,0.944444,0.95]
precision
0.9561471861471861 [0.952381,0.9,1,1,0.95,1,1,0.95,0.909091,0.9]
precision
0.9680848861283644 [1,0.826087,1,0.952381,0.952381,1,1,1,1,0.95]
precision
0.9580786452296749 [1,0.904762,1,0.909091,0.869565,1,1,1,0.947368,0.95]
precision
0.9572954124441538 [1,0.952381,1,0.826087,0.952381,0.894737,1,1,1,0.947368]
precision
0.9561221234905446 [1,0.909091,1,0.947368,0.95,1,0.9,1,0.904762,0.95]
predictive_accuracy
0.945
predictive_accuracy
0.945
predictive_accuracy
0.96
predictive_accuracy
0.965
predictive_accuracy
0.92
predictive_accuracy
0.955
predictive_accuracy
0.965
predictive_accuracy
0.955
predictive_accuracy
0.955
predictive_accuracy
0.955
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 [0.95,0.95,1,0.9,1,0.95,0.95,0.95,0.8,1]
recall
0.945 [1,0.95,0.95,0.95,0.9,0.95,0.95,0.95,0.9,0.95]
recall
0.96 [0.9,1,1,0.95,1,0.95,1,0.9,0.95,0.95]
recall
0.965 [0.95,1,1,0.95,0.95,0.9,1,1,1,0.9]
recall
0.92 [1,1,0.9,0.85,0.95,0.85,0.95,0.9,0.85,0.95]
recall
0.955 [1,0.9,1,0.95,0.95,0.9,1,0.95,1,0.9]
recall
0.965 [0.95,0.95,1,1,1,0.9,1,0.95,0.95,0.95]
recall
0.955 [0.95,0.95,1,1,1,0.85,0.95,1,0.9,0.95]
recall
0.955 [0.95,1,1,0.95,1,0.85,0.95,0.95,1,0.9]
recall
0.955 [1,1,1,0.9,0.95,0.95,0.9,0.95,0.95,0.95]
relative_absolute_error
0.06111111111111117
relative_absolute_error
0.06111111111111117
relative_absolute_error
0.0444444444444445
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.088888888888889
relative_absolute_error
0.05000000000000005
relative_absolute_error
0.03888888888888893
relative_absolute_error
0.05000000000000005
relative_absolute_error
0.05000000000000005
relative_absolute_error
0.05000000000000005
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
0.10488088481701516
root_mean_squared_error
0.08944271909999159
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.1264911064067352
root_mean_squared_error
0.09486832980505137
root_mean_squared_error
0.08366600265340755
root_mean_squared_error
0.09486832980505137
root_mean_squared_error
0.09486832980505137
root_mean_squared_error
0.09486832980505137
root_relative_squared_error
0.34960294939005077
root_relative_squared_error
0.34960294939005077
root_relative_squared_error
0.29814239699997214
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.42163702135578424
root_relative_squared_error
0.31622776601683816
root_relative_squared_error
0.27888667551135865
root_relative_squared_error
0.31622776601683816
root_relative_squared_error
0.31622776601683816
root_relative_squared_error
0.31622776601683816
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
555.623451997235
usercpu_time_millis
556.5698630016414
usercpu_time_millis
554.6870630059857
usercpu_time_millis
557.9556199954823
usercpu_time_millis
555.7563609982026
usercpu_time_millis
553.5955960003776
usercpu_time_millis
545.7271420018515
usercpu_time_millis
545.3662929940037
usercpu_time_millis
563.705069005664
usercpu_time_millis
544.2923809969216
usercpu_time_millis_testing
47.30435099918395
usercpu_time_millis_testing
46.78697900089901
usercpu_time_millis_testing
47.04036500334041
usercpu_time_millis_testing
47.09115299920086
usercpu_time_millis_testing
47.06338200048776
usercpu_time_millis_testing
46.61852899880614
usercpu_time_millis_testing
46.66254699986894
usercpu_time_millis_testing
46.69322699919576
usercpu_time_millis_testing
47.14636399876326
usercpu_time_millis_testing
46.7656420005369
usercpu_time_millis_training
508.319100998051
usercpu_time_millis_training
509.78288400074234
usercpu_time_millis_training
507.6466980026453
usercpu_time_millis_training
510.8644669962814
usercpu_time_millis_training
508.6929789977148
usercpu_time_millis_training
506.9770670015714
usercpu_time_millis_training
499.0645950019825
usercpu_time_millis_training
498.673065994808
usercpu_time_millis_training
516.5587050069007
usercpu_time_millis_training
497.52673899638467
wall_clock_time_millis
555.6776523590088
wall_clock_time_millis
604.6285629272461
wall_clock_time_millis
570.7440376281738
wall_clock_time_millis
558.0105781555176
wall_clock_time_millis
635.8246803283691
wall_clock_time_millis
569.6818828582764
wall_clock_time_millis
677.7603626251221
wall_clock_time_millis
545.4709529876709
wall_clock_time_millis
619.7969913482666
wall_clock_time_millis
628.3485889434814
wall_clock_time_millis_testing
47.3177433013916
wall_clock_time_millis_testing
94.8028564453125
wall_clock_time_millis_testing
47.05476760864258
wall_clock_time_millis_testing
47.10555076599121
wall_clock_time_millis_testing
47.078847885131836
wall_clock_time_millis_testing
62.63470649719238
wall_clock_time_millis_testing
46.67782783508301
wall_clock_time_millis_testing
46.707868576049805
wall_clock_time_millis_testing
95.15976905822754
wall_clock_time_millis_testing
46.78034782409668
wall_clock_time_millis_training
508.3599090576172
wall_clock_time_millis_training
509.8257064819336
wall_clock_time_millis_training
523.6892700195312
wall_clock_time_millis_training
510.90502738952637
wall_clock_time_millis_training
588.7458324432373
wall_clock_time_millis_training
507.047176361084
wall_clock_time_millis_training
631.0825347900391
wall_clock_time_millis_training
498.7630844116211
wall_clock_time_millis_training
524.6372222900391
wall_clock_time_millis_training
581.5682411193848