10327047
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)
8182715
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
0.3651026233359442
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.11464949522540291
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.01772668184339637
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
11585
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
21575780
description
https://api.openml.org/data/download/21575780/description.xml
-1
21575781
predictions
https://api.openml.org/data/download/21575781/predictions.arff
area_under_roc_curve
0.716111111111111 [0.9275,0.650556,0.805833,0.624722,0.678056,0.7025,0.591944,0.77,0.819722,0.590278]
average_cost
0
f_measure
0.5155676190343076 [0.921833,0.332046,0.365473,0.398406,0.516129,0.576512,0.293907,0.685535,0.778116,0.287719]
kappa
0.43222222222222223
kb_relative_information_score
0.46561792232350513
mean_absolute_error
0.10219999999999847
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7303388991144423 [1,0.27044,0.223847,0.980392,0.911392,1,0.518987,0.923729,0.992248,0.482353]
predictive_accuracy
0.489
prior_entropy
3.3219280948872383
recall
0.489 [0.855,0.43,0.995,0.25,0.36,0.405,0.205,0.545,0.64,0.205]
relative_absolute_error
0.5677777777777518
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.3196873472629132
root_relative_squared_error
1.065624490876361
total_cost
0
area_under_roc_curve
0.7166666666666667 [0.9,0.702778,0.786111,0.625,0.75,0.725,0.536111,0.75,0.75,0.641667]
area_under_roc_curve
0.7694444444444444 [0.975,0.836111,0.947222,0.65,0.7,0.675,0.658333,0.769444,0.9,0.583333]
area_under_roc_curve
0.6972222222222222 [0.9,0.569444,0.775,0.6,0.622222,0.65,0.622222,0.725,0.9,0.608333]
area_under_roc_curve
0.713888888888889 [0.875,0.647222,0.788889,0.65,0.747222,0.725,0.547222,0.775,0.797222,0.586111]
area_under_roc_curve
0.6916666666666665 [0.95,0.619444,0.75,0.525,0.625,0.725,0.538889,0.822222,0.75,0.611111]
area_under_roc_curve
0.7194444444444443 [0.925,0.708333,0.838889,0.675,0.697222,0.625,0.563889,0.772222,0.85,0.538889]
area_under_roc_curve
0.7277777777777777 [0.95,0.638889,0.780556,0.725,0.672222,0.625,0.644444,0.772222,0.875,0.594444]
area_under_roc_curve
0.7083333333333333 [0.95,0.608333,0.775,0.65,0.647222,0.75,0.688889,0.744444,0.7,0.569444]
area_under_roc_curve
0.7111111111111111 [0.925,0.647222,0.805556,0.525,0.65,0.725,0.547222,0.775,0.875,0.636111]
area_under_roc_curve
0.7055555555555556 [0.925,0.527778,0.811111,0.622222,0.669444,0.8,0.572222,0.794444,0.8,0.533333]
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
0.5238932052431685 [0.888889,0.425532,0.34188,0.4,0.666667,0.62069,0.148148,0.666667,0.666667,0.413793]
f_measure
0.5877241566138918 [0.974359,0.426966,0.677966,0.461538,0.571429,0.518519,0.424242,0.666667,0.888889,0.266667]
f_measure
0.48379513768329624 [0.888889,0.222222,0.330579,0.333333,0.384615,0.461538,0.384615,0.62069,0.888889,0.322581]
f_measure
0.5156510641369447 [0.857143,0.340426,0.344828,0.461538,0.645161,0.62069,0.173913,0.709677,0.727273,0.275862]
f_measure
0.46138648396788684 [0.947368,0.324324,0.307692,0.095238,0.4,0.62069,0.153846,0.764706,0.666667,0.333333]
f_measure
0.5053653397738446 [0.918919,0.369231,0.408163,0.518519,0.551724,0.4,0.222222,0.6875,0.823529,0.153846]
f_measure
0.5417588522842648 [0.947368,0.32,0.348624,0.62069,0.5,0.4,0.428571,0.6875,0.857143,0.307692]
f_measure
0.5079708004356738 [0.947368,0.292683,0.330579,0.461538,0.444444,0.666667,0.5,0.625,0.571429,0.24]
f_measure
0.49036410623579685 [0.918919,0.315789,0.363636,0.095238,0.461538,0.62069,0.173913,0.709677,0.857143,0.387097]
f_measure
0.4890696908039708 [0.918919,0.15,0.37037,0.384615,0.482759,0.75,0.235294,0.705882,0.75,0.142857]
kappa
0.43333333333333335
kappa
0.5388888888888889
kappa
0.39444444444444443
kappa
0.42777777777777776
kappa
0.3833333333333333
kappa
0.4388888888888889
kappa
0.4555555555555556
kappa
0.41666666666666663
kappa
0.4222222222222222
kappa
0.4111111111111111
kb_relative_information_score
0.466663679814058
kb_relative_information_score
0.5660106414173225
kb_relative_information_score
0.4300621676444343
kb_relative_information_score
0.4614348923612546
kb_relative_information_score
0.4196045927388275
kb_relative_information_score
0.4718924672668614
kb_relative_information_score
0.48757882962527155
kb_relative_information_score
0.45097731745564784
kb_relative_information_score
0.45620610490845126
kb_relative_information_score
0.4457485300028444
mean_absolute_error
0.1019999999999998
mean_absolute_error
0.08299999999999987
mean_absolute_error
0.10899999999999978
mean_absolute_error
0.1029999999999998
mean_absolute_error
0.11099999999999977
mean_absolute_error
0.1009999999999998
mean_absolute_error
0.09799999999999981
mean_absolute_error
0.10499999999999979
mean_absolute_error
0.10399999999999979
mean_absolute_error
0.10599999999999979
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
0.7528936889761632 [1,0.37037,0.206186,1,1,1,0.285714,1,1,0.666667]
precision
0.7572798216276476 [1,0.275362,0.512821,1,1,1,0.538462,0.846154,1,0.4]
precision
0.7519231923192321 [1,0.2,0.19802,1,0.833333,1,0.833333,1,1,0.454545]
precision
0.7447908572908573 [1,0.296296,0.208333,1,0.909091,1,0.666667,1,0.923077,0.444444]
precision
0.7296664120193532 [1,0.352941,0.181818,1,1,1,0.333333,0.928571,1,0.5]
precision
0.709053724053724 [1,0.266667,0.25641,1,0.888889,1,0.428571,0.916667,1,0.333333]
precision
0.7688483146067416 [1,0.266667,0.213483,1,0.875,1,0.75,0.916667,1,0.666667]
precision
0.744087694483734 [1,0.285714,0.19802,1,0.857143,1,0.666667,0.833333,1,0.6]
precision
0.7677586677586676 [1,0.243243,0.222222,1,1,1,0.666667,1,1,0.545455]
precision
0.6381240981240981 [1,0.15,0.227273,0.833333,0.777778,1,0.285714,0.857143,1,0.25]
predictive_accuracy
0.49
predictive_accuracy
0.585
predictive_accuracy
0.455
predictive_accuracy
0.485
predictive_accuracy
0.445
predictive_accuracy
0.495
predictive_accuracy
0.51
predictive_accuracy
0.475
predictive_accuracy
0.48
predictive_accuracy
0.47
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
0.49 [0.8,0.5,1,0.25,0.5,0.45,0.1,0.5,0.5,0.3]
recall
0.585 [0.95,0.95,1,0.3,0.4,0.35,0.35,0.55,0.8,0.2]
recall
0.455 [0.8,0.25,1,0.2,0.25,0.3,0.25,0.45,0.8,0.25]
recall
0.485 [0.75,0.4,1,0.3,0.5,0.45,0.1,0.55,0.6,0.2]
recall
0.445 [0.9,0.3,1,0.05,0.25,0.45,0.1,0.65,0.5,0.25]
recall
0.495 [0.85,0.6,1,0.35,0.4,0.25,0.15,0.55,0.7,0.1]
recall
0.51 [0.9,0.4,0.95,0.45,0.35,0.25,0.3,0.55,0.75,0.2]
recall
0.475 [0.9,0.3,1,0.3,0.3,0.5,0.4,0.5,0.4,0.15]
recall
0.48 [0.85,0.45,1,0.05,0.3,0.45,0.1,0.55,0.75,0.3]
recall
0.47 [0.85,0.15,1,0.25,0.35,0.6,0.2,0.6,0.6,0.1]
relative_absolute_error
0.5666666666666661
relative_absolute_error
0.46111111111111086
relative_absolute_error
0.605555555555555
relative_absolute_error
0.5722222222222217
relative_absolute_error
0.616666666666666
relative_absolute_error
0.5611111111111107
relative_absolute_error
0.544444444444444
relative_absolute_error
0.5833333333333328
relative_absolute_error
0.5777777777777773
relative_absolute_error
0.5888888888888884
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
0.3193743884534259
root_mean_squared_error
0.28809720581775844
root_mean_squared_error
0.33015148038438324
root_mean_squared_error
0.32093613071762395
root_mean_squared_error
0.3331666249791533
root_mean_squared_error
0.31780497164141375
root_mean_squared_error
0.31304951684997023
root_mean_squared_error
0.3240370349203927
root_mean_squared_error
0.32249030993194167
root_mean_squared_error
0.3255764119219938
root_relative_squared_error
1.0645812948447537
root_relative_squared_error
0.9603240193925286
root_relative_squared_error
1.1005049346146116
root_relative_squared_error
1.0697871023920802
root_relative_squared_error
1.1105554165971783
root_relative_squared_error
1.0593499054713797
root_relative_squared_error
1.0434983894999013
root_relative_squared_error
1.080123449734643
root_relative_squared_error
1.0749676997731397
root_relative_squared_error
1.085254706406647
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
754.8678260063753
usercpu_time_millis
763.6084449986811
usercpu_time_millis
755.9937480036751
usercpu_time_millis
751.42460900679
usercpu_time_millis
761.130492996017
usercpu_time_millis
768.0720820062561
usercpu_time_millis
753.9735640020808
usercpu_time_millis
765.159886002948
usercpu_time_millis
770.2113650084357
usercpu_time_millis
760.4600390041014
usercpu_time_millis_testing
46.78927900386043
usercpu_time_millis_testing
44.61338099645218
usercpu_time_millis_testing
45.193766003649216
usercpu_time_millis_testing
45.725765005045105
usercpu_time_millis_testing
46.60645699914312
usercpu_time_millis_testing
44.738702999893576
usercpu_time_millis_testing
45.04771000210894
usercpu_time_millis_testing
50.36078600096516
usercpu_time_millis_testing
45.920873002614826
usercpu_time_millis_testing
45.983253003214486
usercpu_time_millis_training
708.0785470025148
usercpu_time_millis_training
718.9950640022289
usercpu_time_millis_training
710.7999820000259
usercpu_time_millis_training
705.6988440017449
usercpu_time_millis_training
714.5240359968739
usercpu_time_millis_training
723.3333790063625
usercpu_time_millis_training
708.9258539999719
usercpu_time_millis_training
714.7991000019829
usercpu_time_millis_training
724.2904920058209
usercpu_time_millis_training
714.4767860008869
wall_clock_time_millis
755.0375461578369
wall_clock_time_millis
811.6903305053711
wall_clock_time_millis
756.0760974884033
wall_clock_time_millis
815.4962062835693
wall_clock_time_millis
917.2048568725586
wall_clock_time_millis
896.2054252624512
wall_clock_time_millis
966.0282135009766
wall_clock_time_millis
781.2333106994629
wall_clock_time_millis
786.3383293151855
wall_clock_time_millis
760.5741024017334
wall_clock_time_millis_testing
46.80180549621582
wall_clock_time_millis_testing
44.62790489196777
wall_clock_time_millis_testing
45.220136642456055
wall_clock_time_millis_testing
77.7428150177002
wall_clock_time_millis_testing
46.62179946899414
wall_clock_time_millis_testing
44.75545883178711
wall_clock_time_millis_testing
45.06182670593262
wall_clock_time_millis_testing
50.37641525268555
wall_clock_time_millis_testing
45.93658447265625
wall_clock_time_millis_testing
45.99785804748535
wall_clock_time_millis_training
708.2357406616211
wall_clock_time_millis_training
767.0624256134033
wall_clock_time_millis_training
710.8559608459473
wall_clock_time_millis_training
737.7533912658691
wall_clock_time_millis_training
870.5830574035645
wall_clock_time_millis_training
851.4499664306641
wall_clock_time_millis_training
920.966386795044
wall_clock_time_millis_training
730.8568954467773
wall_clock_time_millis_training
740.4017448425293
wall_clock_time_millis_training
714.576244354248