10372907
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)
8228250
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
0.05577533052194334
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.34023879996621864
13389
decision_function_shape
"ovr"
13389
degree
1
13389
gamma
0.0758062246427197
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
39038
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
21667519
description
https://api.openml.org/data/download/21667519/description.xml
-1
21667520
predictions
https://api.openml.org/data/download/21667520/predictions.arff
area_under_roc_curve
0.8958333333333334 [0.995,0.862778,0.964722,0.913056,0.861667,0.954444,0.692778,0.956944,0.986111,0.770833]
average_cost
0
f_measure
0.8110580162887078 [0.994975,0.7343,0.942065,0.872063,0.783069,0.910891,0.477528,0.864368,0.975,0.556322]
kappa
0.7916666666666666
kb_relative_information_score
0.803920470519881
mean_absolute_error
0.03750000000000026
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8140274128887007 [1,0.71028,0.949239,0.912568,0.831461,0.901961,0.544872,0.8,0.975,0.514894]
predictive_accuracy
0.8125
prior_entropy
3.3219280948872383
recall
0.8125 [0.99,0.76,0.935,0.835,0.74,0.92,0.425,0.94,0.975,0.605]
relative_absolute_error
0.20833333333332837
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.19364916731037152
root_relative_squared_error
0.6454972243678953
total_cost
0
area_under_roc_curve
0.8777777777777779 [0.975,0.894444,0.972222,0.872222,0.916667,1,0.569444,0.888889,0.997222,0.691667]
area_under_roc_curve
0.8972222222222221 [1,0.891667,0.969444,0.922222,0.813889,0.938889,0.711111,0.933333,0.972222,0.819444]
area_under_roc_curve
0.9055555555555556 [1,0.883333,0.975,0.894444,0.911111,0.944444,0.705556,0.916667,1,0.825]
area_under_roc_curve
0.9111111111111111 [0.975,0.838889,0.975,0.969444,0.908333,0.941667,0.788889,0.916667,0.972222,0.825]
area_under_roc_curve
0.8916666666666667 [1,0.788889,0.975,0.916667,0.866667,0.941667,0.683333,0.977778,1,0.766667]
area_under_roc_curve
0.9055555555555556 [1,0.886111,0.994444,0.897222,0.869444,0.947222,0.75,0.991667,1,0.719444]
area_under_roc_curve
0.886111111111111 [1,0.858333,0.925,0.941667,0.819444,0.938889,0.702778,0.980556,1,0.694444]
area_under_roc_curve
0.9166666666666667 [1,0.877778,0.947222,0.919444,0.872222,0.947222,0.808333,0.991667,0.972222,0.830556]
area_under_roc_curve
0.8944444444444444 [1,0.836111,0.997222,0.947222,0.766667,0.969444,0.608333,0.986111,1,0.833333]
area_under_roc_curve
0.872222222222222 [1,0.872222,0.916667,0.85,0.872222,0.975,0.6,0.986111,0.947222,0.702778]
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
0.7759231215938533 [0.974359,0.708333,0.95,0.833333,0.85,1,0.228571,0.8,0.97561,0.439024]
f_measure
0.812174029586625 [1,0.820513,0.926829,0.894737,0.702703,0.857143,0.529412,0.818182,0.95,0.622222]
f_measure
0.8289055599643115 [1,0.761905,0.974359,0.842105,0.809524,0.9,0.5,0.85,1,0.651163]
f_measure
0.839896523454454 [0.974359,0.736842,0.974359,0.926829,0.790698,0.878049,0.666667,0.85,0.95,0.651163]
f_measure
0.8007924219805967 [1,0.666667,0.974359,0.85,0.789474,0.878049,0.470588,0.833333,1,0.545455]
f_measure
0.8299658792199915 [1,0.780488,0.952381,0.864865,0.810811,0.923077,0.55,0.930233,1,0.487805]
f_measure
0.7916225332753615 [1,0.731707,0.918919,0.878049,0.742857,0.857143,0.486486,0.851064,1,0.45]
f_measure
0.8508380832629274 [1,0.727273,0.923077,0.871795,0.833333,0.923077,0.666667,0.930233,0.95,0.682927]
f_measure
0.8001993022995475 [1,0.717949,0.97561,0.923077,0.647059,0.926829,0.322581,0.888889,1,0.6]
f_measure
0.7708489267288309 [1,0.695652,0.85,0.823529,0.833333,0.974359,0.294118,0.888889,0.923077,0.425532]
kappa
0.7555555555555555
kappa
0.7944444444444444
kappa
0.8111111111111111
kappa
0.8222222222222222
kappa
0.7833333333333334
kappa
0.8111111111111111
kappa
0.7722222222222223
kappa
0.8333333333333333
kappa
0.788888888888889
kappa
0.7444444444444445
kb_relative_information_score
0.7699333520766547
kb_relative_information_score
0.8065348642462777
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.7960772893406711
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.7856197144350645
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.8013060767934745
kb_relative_information_score
0.759475777171048
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.041000000000000016
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.046
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
0.7792261904761905 [1,0.607143,0.95,0.9375,0.85,1,0.266667,0.8,0.952381,0.428571]
precision
0.8177056455756145 [1,0.842105,0.904762,0.944444,0.764706,0.818182,0.642857,0.75,0.95,0.56]
precision
0.8310084541062801 [1,0.727273,1,0.888889,0.772727,0.9,0.5625,0.85,1,0.608696]
precision
0.8437508626639061 [1,0.777778,1,0.904762,0.73913,0.857143,0.75,0.85,0.95,0.608696]
precision
0.8076190476190476 [1,0.75,1,0.85,0.833333,0.857143,0.571429,0.714286,1,0.5]
precision
0.833764919739479 [1,0.761905,0.909091,0.941176,0.882353,0.947368,0.55,0.869565,1,0.47619]
precision
0.797642956172368 [1,0.714286,1,0.857143,0.866667,0.818182,0.529412,0.740741,1,0.45]
precision
0.8564082761250954 [1,0.666667,0.947368,0.894737,0.9375,0.947368,0.684211,0.869565,0.95,0.666667]
precision
0.8081613123718386 [1,0.736842,0.952381,0.947368,0.785714,0.904762,0.454545,0.8,1,0.5]
precision
0.7877766263950474 [1,0.615385,0.85,1,0.9375,1,0.357143,0.8,0.947368,0.37037]
predictive_accuracy
0.78
predictive_accuracy
0.815
predictive_accuracy
0.83
predictive_accuracy
0.84
predictive_accuracy
0.805
predictive_accuracy
0.83
predictive_accuracy
0.795
predictive_accuracy
0.85
predictive_accuracy
0.81
predictive_accuracy
0.77
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
0.78 [0.95,0.85,0.95,0.75,0.85,1,0.2,0.8,1,0.45]
recall
0.815 [1,0.8,0.95,0.85,0.65,0.9,0.45,0.9,0.95,0.7]
recall
0.83 [1,0.8,0.95,0.8,0.85,0.9,0.45,0.85,1,0.7]
recall
0.84 [0.95,0.7,0.95,0.95,0.85,0.9,0.6,0.85,0.95,0.7]
recall
0.805 [1,0.6,0.95,0.85,0.75,0.9,0.4,1,1,0.6]
recall
0.83 [1,0.8,1,0.8,0.75,0.9,0.55,1,1,0.5]
recall
0.795 [1,0.75,0.85,0.9,0.65,0.9,0.45,1,1,0.45]
recall
0.85 [1,0.8,0.9,0.85,0.75,0.9,0.65,1,0.95,0.7]
recall
0.81 [1,0.7,1,0.9,0.55,0.95,0.25,1,1,0.75]
recall
0.77 [1,0.8,0.85,0.7,0.75,0.95,0.25,1,0.9,0.5]
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.2277777777777781
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.2555555555555558
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
0.20976176963403032
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.20248456731316591
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.21447610589527216
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.6749485577105534
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.714920352984241
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
364.6516669978155
usercpu_time_millis
375.1797609984351
usercpu_time_millis
367.50236700027017
usercpu_time_millis
378.0377219991351
usercpu_time_millis
377.6055210037157
usercpu_time_millis
377.64723199870787
usercpu_time_millis
383.84276400029194
usercpu_time_millis
328.3376630024577
usercpu_time_millis
259.7037919986178
usercpu_time_millis
380.21174799723667
usercpu_time_millis_testing
37.45644399896264
usercpu_time_millis_testing
38.61396099819103
usercpu_time_millis_testing
38.03289799907361
usercpu_time_millis_testing
39.25333599909209
usercpu_time_millis_testing
39.41705200122669
usercpu_time_millis_testing
39.73005100124283
usercpu_time_millis_testing
40.408204000414116
usercpu_time_millis_testing
26.05398400191916
usercpu_time_millis_testing
26.624253998306813
usercpu_time_millis_testing
39.73825399953057
usercpu_time_millis_training
327.19522299885284
usercpu_time_millis_training
336.56580000024405
usercpu_time_millis_training
329.46946900119656
usercpu_time_millis_training
338.784386000043
usercpu_time_millis_training
338.188469002489
usercpu_time_millis_training
337.91718099746504
usercpu_time_millis_training
343.4345599998778
usercpu_time_millis_training
302.28367900053854
usercpu_time_millis_training
233.079538000311
usercpu_time_millis_training
340.4734939977061
wall_clock_time_millis
364.6681308746338
wall_clock_time_millis
375.28109550476074
wall_clock_time_millis
367.5191402435303
wall_clock_time_millis
378.0689239501953
wall_clock_time_millis
379.7876834869385
wall_clock_time_millis
380.6135654449463
wall_clock_time_millis
384.61947441101074
wall_clock_time_millis
328.387975692749
wall_clock_time_millis
259.7174644470215
wall_clock_time_millis
380.2309036254883
wall_clock_time_millis_testing
37.46509552001953
wall_clock_time_millis_testing
38.62738609313965
wall_clock_time_millis_testing
38.039207458496094
wall_clock_time_millis_testing
39.263248443603516
wall_clock_time_millis_testing
39.42537307739258
wall_clock_time_millis_testing
40.1151180267334
wall_clock_time_millis_testing
40.441036224365234
wall_clock_time_millis_testing
26.06034278869629
wall_clock_time_millis_testing
26.632070541381836
wall_clock_time_millis_testing
39.74795341491699
wall_clock_time_millis_training
327.20303535461426
wall_clock_time_millis_training
336.6537094116211
wall_clock_time_millis_training
329.4799327850342
wall_clock_time_millis_training
338.8056755065918
wall_clock_time_millis_training
340.3623104095459
wall_clock_time_millis_training
340.4984474182129
wall_clock_time_millis_training
344.1784381866455
wall_clock_time_millis_training
302.32763290405273
wall_clock_time_millis_training
233.08539390563965
wall_clock_time_millis_training
340.4829502105713