10372148
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)
8227491
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
10.452693667466372
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.5864644897807998
13389
decision_function_shape
"ovr"
13389
degree
2
13389
gamma
3.116722283916533e-05
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
57050
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
21666001
description
https://api.openml.org/data/download/21666001/description.xml
-1
21666002
predictions
https://api.openml.org/data/download/21666002/predictions.arff
area_under_roc_curve
0.8555555555555555 [0.9675,0.848889,0.935278,0.857222,0.787222,0.930833,0.649167,0.851667,0.982222,0.745556]
average_cost
0
f_measure
0.7395671237270167 [0.966408,0.655172,0.878412,0.796703,0.668539,0.860636,0.396501,0.755208,0.924528,0.493562]
kappa
0.7111111111111111
kb_relative_information_score
0.728103052454236
mean_absolute_error
0.05200000000000047
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7507649656318423 [1,0.575758,0.871921,0.884146,0.762821,0.842105,0.475524,0.788043,0.875,0.432331]
predictive_accuracy
0.74
prior_entropy
3.3219280948872383
recall
0.74 [0.935,0.76,0.885,0.725,0.595,0.88,0.34,0.725,0.98,0.575]
relative_absolute_error
0.2888888888888826
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.22803508501982864
root_relative_squared_error
0.7601169500660839
total_cost
0
area_under_roc_curve
0.8305555555555554 [0.95,0.888889,0.902778,0.872222,0.797222,0.969444,0.544444,0.763889,0.988889,0.627778]
area_under_roc_curve
0.8638888888888888 [1,0.875,0.936111,0.872222,0.775,0.941667,0.697222,0.791667,0.966667,0.783333]
area_under_roc_curve
0.8472222222222223 [0.925,0.877778,0.897222,0.791667,0.830556,0.922222,0.661111,0.816667,0.991667,0.758333]
area_under_roc_curve
0.875 [0.925,0.777778,0.972222,0.919444,0.866667,0.963889,0.7,0.841667,0.961111,0.822222]
area_under_roc_curve
0.8444444444444444 [1,0.741667,0.894444,0.841667,0.752778,0.930556,0.658333,0.908333,0.997222,0.719444]
area_under_roc_curve
0.8583333333333333 [0.975,0.872222,0.994444,0.844444,0.763889,0.933333,0.602778,0.888889,0.994444,0.713889]
area_under_roc_curve
0.8777777777777778 [0.975,0.830556,0.947222,0.911111,0.763889,0.863889,0.736111,0.961111,0.994444,0.794444]
area_under_roc_curve
0.8694444444444445 [0.975,0.866667,0.919444,0.869444,0.741667,0.891667,0.730556,0.891667,0.994444,0.813889]
area_under_roc_curve
0.8555555555555556 [0.95,0.863889,0.972222,0.85,0.766667,0.916667,0.588889,0.838889,0.991667,0.816667]
area_under_roc_curve
0.8333333333333335 [1,0.894444,0.916667,0.8,0.813889,0.975,0.572222,0.813889,0.941667,0.605556]
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
0.6902674049586381 [0.947368,0.68,0.755556,0.833333,0.727273,0.926829,0.176471,0.628571,0.909091,0.318182]
f_measure
0.7563061265293989 [1,0.711111,0.837209,0.833333,0.709677,0.878049,0.461538,0.685714,0.904762,0.541667]
f_measure
0.7277384448735351 [0.918919,0.62963,0.864865,0.685714,0.682927,0.894737,0.4375,0.722222,0.930233,0.510638]
f_measure
0.7744349372439947 [0.918919,0.6,0.95,0.871795,0.789474,0.883721,0.473684,0.756757,0.863636,0.636364]
f_measure
0.715294722380133 [1,0.511628,0.842105,0.756757,0.564103,0.8,0.424242,0.790698,0.97561,0.487805]
f_measure
0.7367450659665016 [0.974359,0.695652,0.952381,0.777778,0.628571,0.818182,0.30303,0.8,0.952381,0.465116]
f_measure
0.7766043712385176 [0.974359,0.682927,0.923077,0.809524,0.628571,0.769231,0.571429,0.863636,0.952381,0.590909]
f_measure
0.7659383744490127 [0.974359,0.666667,0.871795,0.810811,0.606061,0.820513,0.540541,0.820513,0.952381,0.595745]
f_measure
0.7359521115667809 [0.947368,0.653061,0.95,0.823529,0.647059,0.85,0.285714,0.736842,0.930233,0.535714]
f_measure
0.7070671380463345 [1,0.708333,0.85,0.75,0.702703,0.974359,0.235294,0.702703,0.878049,0.269231]
kappa
0.6611111111111111
kappa
0.7277777777777777
kappa
0.6944444444444444
kappa
0.75
kappa
0.6888888888888889
kappa
0.7166666666666667
kappa
0.7555555555555555
kappa
0.7388888888888889
kappa
0.7111111111111111
kappa
0.6666666666666666
kb_relative_information_score
0.6810439653789969
kb_relative_information_score
0.7437894148126378
kb_relative_information_score
0.7124166900958173
kb_relative_information_score
0.7647045646238513
kb_relative_information_score
0.707187902643014
kb_relative_information_score
0.7333318399070311
kb_relative_information_score
0.7699333520766547
kb_relative_information_score
0.7542469897182446
kb_relative_information_score
0.7281030524542276
kb_relative_information_score
0.6862727528318004
mean_absolute_error
0.06099999999999994
mean_absolute_error
0.04899999999999999
mean_absolute_error
0.054999999999999966
mean_absolute_error
0.045
mean_absolute_error
0.05599999999999996
mean_absolute_error
0.050999999999999976
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.04699999999999999
mean_absolute_error
0.05199999999999998
mean_absolute_error
0.05999999999999995
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
0.7084624542124542 [1,0.566667,0.68,0.9375,0.923077,0.904762,0.214286,0.733333,0.833333,0.291667]
precision
0.7818857841243424 [1,0.64,0.782609,0.9375,1,0.857143,0.473684,0.8,0.863636,0.464286]
precision
0.7562130576868428 [1,0.5,0.941176,0.8,0.666667,0.944444,0.583333,0.8125,0.869565,0.444444]
precision
0.7802686543725043 [1,0.6,0.95,0.894737,0.833333,0.826087,0.5,0.823529,0.791667,0.583333]
precision
0.7195789940455442 [1,0.478261,0.888889,0.823529,0.578947,0.72,0.538462,0.73913,0.952381,0.47619]
precision
0.7411297760210803 [1,0.615385,0.909091,0.875,0.733333,0.75,0.384615,0.8,0.909091,0.434783]
precision
0.781866028708134 [1,0.666667,0.947368,0.772727,0.733333,0.789474,0.666667,0.791667,0.909091,0.541667]
precision
0.7817804371983939 [1,0.571429,0.894737,0.882353,0.769231,0.842105,0.588235,0.842105,0.909091,0.518519]
precision
0.770144808548107 [1,0.551724,0.95,1,0.785714,0.85,0.5,0.777778,0.869565,0.416667]
precision
0.7348161764705883 [1,0.607143,0.85,1,0.764706,1,0.285714,0.764706,0.857143,0.21875]
predictive_accuracy
0.695
predictive_accuracy
0.755
predictive_accuracy
0.725
predictive_accuracy
0.775
predictive_accuracy
0.72
predictive_accuracy
0.745
predictive_accuracy
0.78
predictive_accuracy
0.765
predictive_accuracy
0.74
predictive_accuracy
0.7
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
0.695 [0.9,0.85,0.85,0.75,0.6,0.95,0.15,0.55,1,0.35]
recall
0.755 [1,0.8,0.9,0.75,0.55,0.9,0.45,0.6,0.95,0.65]
recall
0.725 [0.85,0.85,0.8,0.6,0.7,0.85,0.35,0.65,1,0.6]
recall
0.775 [0.85,0.6,0.95,0.85,0.75,0.95,0.45,0.7,0.95,0.7]
recall
0.72 [1,0.55,0.8,0.7,0.55,0.9,0.35,0.85,1,0.5]
recall
0.745 [0.95,0.8,1,0.7,0.55,0.9,0.25,0.8,1,0.5]
recall
0.78 [0.95,0.7,0.9,0.85,0.55,0.75,0.5,0.95,1,0.65]
recall
0.765 [0.95,0.8,0.85,0.75,0.5,0.8,0.5,0.8,1,0.7]
recall
0.74 [0.9,0.8,0.95,0.7,0.55,0.85,0.2,0.7,1,0.75]
recall
0.7 [1,0.85,0.85,0.6,0.65,0.95,0.2,0.65,0.9,0.35]
relative_absolute_error
0.3388888888888889
relative_absolute_error
0.2722222222222225
relative_absolute_error
0.3055555555555557
relative_absolute_error
0.2500000000000003
relative_absolute_error
0.3111111111111112
relative_absolute_error
0.28333333333333355
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.26111111111111135
relative_absolute_error
0.2888888888888891
relative_absolute_error
0.3333333333333334
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
0.24698178070456928
root_mean_squared_error
0.22135943621178653
root_mean_squared_error
0.2345207879911714
root_mean_squared_error
0.21213203435596426
root_mean_squared_error
0.23664319132398456
root_mean_squared_error
0.22583179581272425
root_mean_squared_error
0.20976176963403032
root_mean_squared_error
0.21679483388678797
root_mean_squared_error
0.22803508501982755
root_mean_squared_error
0.24494897427831772
root_relative_squared_error
0.8232726023485647
root_relative_squared_error
0.7378647873726222
root_relative_squared_error
0.7817359599705718
root_relative_squared_error
0.707106781186548
root_relative_squared_error
0.7888106377466158
root_relative_squared_error
0.7527726527090813
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.7226494462892937
root_relative_squared_error
0.7601169500660923
root_relative_squared_error
0.8164965809277261
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
761.910577002709
usercpu_time_millis
763.5849510006665
usercpu_time_millis
761.2330770025437
usercpu_time_millis
760.7725270027004
usercpu_time_millis
760.3379579995817
usercpu_time_millis
747.6371819975611
usercpu_time_millis
748.7062399995921
usercpu_time_millis
765.666332001274
usercpu_time_millis
750.6314230013231
usercpu_time_millis
758.4664019996126
usercpu_time_millis_testing
53.90518000058364
usercpu_time_millis_testing
54.085359999589855
usercpu_time_millis_testing
53.81900400243467
usercpu_time_millis_testing
53.683093003201066
usercpu_time_millis_testing
53.887517999100965
usercpu_time_millis_testing
52.83374999999069
usercpu_time_millis_testing
52.936842999770306
usercpu_time_millis_testing
53.99580700031947
usercpu_time_millis_testing
52.48115400172537
usercpu_time_millis_testing
52.98659999971278
usercpu_time_millis_training
708.0053970021254
usercpu_time_millis_training
709.4995910010766
usercpu_time_millis_training
707.414073000109
usercpu_time_millis_training
707.0894339994993
usercpu_time_millis_training
706.4504400004807
usercpu_time_millis_training
694.8034319975704
usercpu_time_millis_training
695.7693969998218
usercpu_time_millis_training
711.6705250009545
usercpu_time_millis_training
698.1502689995978
usercpu_time_millis_training
705.4798019998998
wall_clock_time_millis
761.9349956512451
wall_clock_time_millis
763.6208534240723
wall_clock_time_millis
761.2555027008057
wall_clock_time_millis
760.7934474945068
wall_clock_time_millis
760.3845596313477
wall_clock_time_millis
747.6606369018555
wall_clock_time_millis
748.7494945526123
wall_clock_time_millis
765.6915187835693
wall_clock_time_millis
750.6568431854248
wall_clock_time_millis
758.5134506225586
wall_clock_time_millis_testing
53.914785385131836
wall_clock_time_millis_testing
54.09502983093262
wall_clock_time_millis_testing
53.82704734802246
wall_clock_time_millis_testing
53.691864013671875
wall_clock_time_millis_testing
53.896427154541016
wall_clock_time_millis_testing
52.84380912780762
wall_clock_time_millis_testing
52.94537544250488
wall_clock_time_millis_testing
54.00681495666504
wall_clock_time_millis_testing
52.490949630737305
wall_clock_time_millis_testing
52.99854278564453
wall_clock_time_millis_training
708.0202102661133
wall_clock_time_millis_training
709.5258235931396
wall_clock_time_millis_training
707.4284553527832
wall_clock_time_millis_training
707.101583480835
wall_clock_time_millis_training
706.4881324768066
wall_clock_time_millis_training
694.8168277740479
wall_clock_time_millis_training
695.8041191101074
wall_clock_time_millis_training
711.6847038269043
wall_clock_time_millis_training
698.1658935546875
wall_clock_time_millis_training
705.5149078369141