10328521
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)
8184168
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
2891.405888256245
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.15124058184998046
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.6680106363275204
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
37217
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
21578728
description
https://api.openml.org/data/download/21578728/description.xml
-1
21578729
predictions
https://api.openml.org/data/download/21578729/predictions.arff
area_under_roc_curve
0.8975 [0.99,0.913056,0.971944,0.926667,0.905833,0.931944,0.701111,0.948889,0.973889,0.711667]
average_cost
0
f_measure
0.818595540975452 [0.989899,0.732919,0.966752,0.895833,0.865435,0.922667,0.471503,0.90099,0.964467,0.47549]
kappa
0.795
kb_relative_information_score
0.8070577429915623
mean_absolute_error
0.03690000000000025
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8281657418228286 [1,0.625442,0.989529,0.934783,0.916201,0.988571,0.489247,0.892157,0.979381,0.466346]
predictive_accuracy
0.8155
prior_entropy
3.3219280948872383
recall
0.8155 [0.98,0.885,0.945,0.86,0.82,0.865,0.455,0.91,0.95,0.485]
relative_absolute_error
0.2049999999999951
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1920937271229861
root_relative_squared_error
0.6403124237432771
total_cost
0
area_under_roc_curve
0.9000000000000001 [0.975,0.966667,0.975,0.925,0.944444,0.975,0.652778,0.822222,0.997222,0.766667]
area_under_roc_curve
0.8861111111111112 [1,0.875,0.975,0.866667,0.872222,0.947222,0.675,0.988889,0.947222,0.713889]
area_under_roc_curve
0.911111111111111 [0.975,0.919444,1,0.925,0.941667,0.95,0.747222,0.947222,1,0.705556]
area_under_roc_curve
0.9305555555555556 [0.975,0.927778,0.975,0.969444,0.997222,0.95,0.830556,0.947222,0.975,0.758333]
area_under_roc_curve
0.8777777777777778 [1,0.844444,0.95,0.916667,0.875,0.9,0.644444,0.963889,1,0.683333]
area_under_roc_curve
0.9111111111111111 [1,0.9,0.997222,0.872222,0.919444,0.922222,0.775,0.994444,1,0.730556]
area_under_roc_curve
0.886111111111111 [0.975,0.908333,0.95,0.947222,0.894444,0.825,0.725,0.969444,0.997222,0.669444]
area_under_roc_curve
0.9027777777777777 [1,0.927778,0.972222,1,0.869444,0.975,0.719444,0.941667,0.925,0.697222]
area_under_roc_curve
0.9055555555555556 [1,0.925,1,0.972222,0.9,0.9,0.602778,0.997222,1,0.758333]
area_under_roc_curve
0.8638888888888888 [1,0.936111,0.925,0.872222,0.844444,0.975,0.638889,0.916667,0.897222,0.633333]
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
0.8196996795131658 [0.974359,0.769231,0.974359,0.918919,0.9,0.974359,0.4,0.764706,0.97561,0.545455]
f_measure
0.79610705697609 [1,0.711111,0.974359,0.789474,0.833333,0.923077,0.432432,0.909091,0.923077,0.465116]
f_measure
0.8413051261299933 [0.974359,0.734694,1,0.918919,0.878049,0.947368,0.536585,0.923077,1,0.5]
f_measure
0.8756091411111783 [0.974359,0.782609,0.974359,0.926829,0.97561,0.947368,0.682927,0.923077,0.974359,0.594595]
f_measure
0.7856806972082901 [1,0.652174,0.947368,0.85,0.857143,0.888889,0.368421,0.883721,1,0.409091]
f_measure
0.8392892584693668 [1,0.73913,0.97561,0.833333,0.871795,0.894737,0.585366,0.952381,1,0.540541]
f_measure
0.7979549600011246 [0.974359,0.679245,0.947368,0.923077,0.842105,0.787879,0.512821,0.926829,0.97561,0.410256]
f_measure
0.8264089519815925 [1,0.782609,0.95,1,0.810811,0.974359,0.487805,0.878049,0.918919,0.461538]
f_measure
0.8283013581586492 [1,0.765957,1,0.95,0.888889,0.888889,0.30303,0.97561,1,0.510638]
f_measure
0.7619568334662674 [1,0.716981,0.918919,0.833333,0.777778,0.974359,0.35,0.85,0.864865,0.333333]
kappa
0.7999999999999999
kappa
0.7722222222222223
kappa
0.8222222222222222
kappa
0.8611111111111112
kappa
0.7555555555555555
kappa
0.8222222222222222
kappa
0.7722222222222223
kappa
0.8055555555555555
kappa
0.8111111111111111
kappa
0.7277777777777777
kb_relative_information_score
0.811763651699081
kb_relative_information_score
0.7856197144350645
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.8692803136799173
kb_relative_information_score
0.7699333520766547
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.7856197144350645
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.7437894148126378
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.041000000000000016
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.02500000000000001
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.041000000000000016
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.04899999999999999
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
0.8372619047619047 [1,0.625,1,1,0.9,1,0.466667,0.928571,0.952381,0.5]
precision
0.8044274352761698 [1,0.64,1,0.833333,0.9375,0.947368,0.470588,0.833333,0.947368,0.434783]
precision
0.8511510457177427 [1,0.62069,1,1,0.857143,1,0.52381,0.947368,1,0.5625]
precision
0.8810544460699259 [1,0.692308,1,0.904762,0.952381,1,0.666667,0.947368,1,0.647059]
precision
0.8016898922333704 [1,0.576923,1,0.85,1,1,0.388889,0.826087,1,0.375]
precision
0.8451663167413941 [1,0.653846,0.952381,0.9375,0.894737,0.944444,0.571429,0.909091,1,0.588235]
precision
0.8186223133591554 [1,0.545455,1,0.947368,0.888889,1,0.526316,0.904762,0.952381,0.421053]
precision
0.8331678177343812 [1,0.692308,0.95,1,0.882353,1,0.47619,0.857143,1,0.473684]
precision
0.8398107448107447 [1,0.666667,1,0.95,1,1,0.384615,0.952381,1,0.444444]
precision
0.7847615864527628 [1,0.575758,1,0.9375,0.875,1,0.35,0.85,0.941176,0.318182]
predictive_accuracy
0.82
predictive_accuracy
0.795
predictive_accuracy
0.84
predictive_accuracy
0.875
predictive_accuracy
0.78
predictive_accuracy
0.84
predictive_accuracy
0.795
predictive_accuracy
0.825
predictive_accuracy
0.83
predictive_accuracy
0.755
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
0.82 [0.95,1,0.95,0.85,0.9,0.95,0.35,0.65,1,0.6]
recall
0.795 [1,0.8,0.95,0.75,0.75,0.9,0.4,1,0.9,0.5]
recall
0.84 [0.95,0.9,1,0.85,0.9,0.9,0.55,0.9,1,0.45]
recall
0.875 [0.95,0.9,0.95,0.95,1,0.9,0.7,0.9,0.95,0.55]
recall
0.78 [1,0.75,0.9,0.85,0.75,0.8,0.35,0.95,1,0.45]
recall
0.84 [1,0.85,1,0.75,0.85,0.85,0.6,1,1,0.5]
recall
0.795 [0.95,0.9,0.9,0.9,0.8,0.65,0.5,0.95,1,0.4]
recall
0.825 [1,0.9,0.95,1,0.75,0.95,0.5,0.9,0.85,0.45]
recall
0.83 [1,0.9,1,0.95,0.8,0.8,0.25,1,1,0.6]
recall
0.755 [1,0.95,0.85,0.75,0.7,0.95,0.35,0.85,0.8,0.35]
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.2277777777777781
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.1388888888888891
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.2277777777777781
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.2722222222222225
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
0.1897366596101028
root_mean_squared_error
0.20248456731316591
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.158113883008419
root_mean_squared_error
0.20976176963403032
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.20248456731316591
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.22135943621178653
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.6749485577105534
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.5270462766947304
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.6749485577105534
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.7378647873726222
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
666.520432998368
usercpu_time_millis
665.8373460013536
usercpu_time_millis
659.3287700015935
usercpu_time_millis
674.0151189951575
usercpu_time_millis
647.3489030031487
usercpu_time_millis
664.7961279959418
usercpu_time_millis
656.2592999980552
usercpu_time_millis
660.9328089980409
usercpu_time_millis
666.0939619905548
usercpu_time_millis
651.9841330082272
usercpu_time_millis_testing
39.36367799906293
usercpu_time_millis_testing
39.529153997136746
usercpu_time_millis_testing
38.878021005075425
usercpu_time_millis_testing
39.02153799572261
usercpu_time_millis_testing
39.11377699841978
usercpu_time_millis_testing
39.337996997346636
usercpu_time_millis_testing
39.13213199848542
usercpu_time_millis_testing
38.843895999889355
usercpu_time_millis_testing
39.19930199481314
usercpu_time_millis_testing
38.873579003848135
usercpu_time_millis_training
627.1567549993051
usercpu_time_millis_training
626.3081920042168
usercpu_time_millis_training
620.4507489965181
usercpu_time_millis_training
634.9935809994349
usercpu_time_millis_training
608.235126004729
usercpu_time_millis_training
625.4581309985952
usercpu_time_millis_training
617.1271679995698
usercpu_time_millis_training
622.0889129981515
usercpu_time_millis_training
626.8946599957417
usercpu_time_millis_training
613.1105540043791
wall_clock_time_millis
666.5980815887451
wall_clock_time_millis
665.902853012085
wall_clock_time_millis
667.4149036407471
wall_clock_time_millis
854.4206619262695
wall_clock_time_millis
679.4497966766357
wall_clock_time_millis
664.8633480072021
wall_clock_time_millis
663.4995937347412
wall_clock_time_millis
669.0471172332764
wall_clock_time_millis
682.2099685668945
wall_clock_time_millis
684.0746402740479
wall_clock_time_millis_testing
39.37697410583496
wall_clock_time_millis_testing
39.54577445983887
wall_clock_time_millis_testing
38.89346122741699
wall_clock_time_millis_testing
63.04931640625
wall_clock_time_millis_testing
39.130210876464844
wall_clock_time_millis_testing
39.35432434082031
wall_clock_time_millis_testing
39.14928436279297
wall_clock_time_millis_testing
38.85912895202637
wall_clock_time_millis_testing
39.214372634887695
wall_clock_time_millis_testing
38.887977600097656
wall_clock_time_millis_training
627.2211074829102
wall_clock_time_millis_training
626.3570785522461
wall_clock_time_millis_training
628.5214424133301
wall_clock_time_millis_training
791.3713455200195
wall_clock_time_millis_training
640.3195858001709
wall_clock_time_millis_training
625.5090236663818
wall_clock_time_millis_training
624.3503093719482
wall_clock_time_millis_training
630.18798828125
wall_clock_time_millis_training
642.9955959320068
wall_clock_time_millis_training
645.1866626739502