10328598
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)
8184241
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
547.0836590063223
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.7039368935060544
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.003970623713474363
13389
kernel
"poly"
13389
max_iter
-1
13389
probability
false
13389
random_state
1093
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
21578882
description
https://api.openml.org/data/download/21578882/description.xml
-1
21578883
predictions
https://api.openml.org/data/download/21578883/predictions.arff
area_under_roc_curve
0.9125000000000001 [0.9975,0.889444,0.971111,0.948889,0.906944,0.951944,0.763889,0.948056,0.986389,0.760833]
average_cost
0
f_measure
0.842917642006524 [0.997494,0.789216,0.959391,0.90099,0.840506,0.926209,0.575,0.894349,0.977444,0.568579]
kappa
0.8250000000000001
kb_relative_information_score
0.8352931952366996
mean_absolute_error
0.03150000000000018
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8436000090768483 [1,0.774038,0.974227,0.892157,0.851282,0.943005,0.575,0.879227,0.979899,0.567164]
predictive_accuracy
0.8425
prior_entropy
3.3219280948872383
recall
0.8425 [0.995,0.805,0.945,0.91,0.83,0.91,0.575,0.91,0.975,0.57]
relative_absolute_error
0.17499999999999563
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.177482393492989
root_relative_squared_error
0.5916079783099542
total_cost
0
area_under_roc_curve
0.925 [0.975,0.908333,0.997222,0.947222,0.938889,0.975,0.827778,0.922222,0.997222,0.761111]
area_under_roc_curve
0.8972222222222221 [1,0.858333,0.95,0.894444,0.911111,0.944444,0.702778,0.941667,0.975,0.794444]
area_under_roc_curve
0.9055555555555556 [1,0.930556,0.975,0.919444,0.961111,0.947222,0.722222,0.897222,1,0.702778]
area_under_roc_curve
0.9416666666666665 [1,0.891667,0.975,0.986111,0.994444,0.925,0.908333,0.947222,0.975,0.813889]
area_under_roc_curve
0.8833333333333334 [1,0.833333,0.925,0.938889,0.869444,0.916667,0.625,0.963889,1,0.761111]
area_under_roc_curve
0.9166666666666665 [1,0.886111,0.972222,0.894444,0.869444,0.994444,0.825,0.969444,1,0.755556]
area_under_roc_curve
0.9138888888888888 [1,0.888889,0.95,0.966667,0.866667,0.944444,0.827778,0.963889,0.997222,0.733333]
area_under_roc_curve
0.9222222222222223 [1,0.894444,0.997222,0.972222,0.891667,0.947222,0.802778,0.966667,0.972222,0.777778]
area_under_roc_curve
0.9194444444444444 [1,0.891667,1,0.994444,0.925,0.95,0.658333,0.988889,1,0.786111]
area_under_roc_curve
0.9 [1,0.911111,0.969444,0.975,0.841667,0.975,0.738889,0.919444,0.947222,0.722222]
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
0.8643369535434496 [0.974359,0.790698,0.97561,0.923077,0.857143,0.974359,0.666667,0.894737,0.97561,0.611111]
f_measure
0.8160508143049863 [1,0.731707,0.947368,0.842105,0.809524,0.9,0.486486,0.878049,0.974359,0.590909]
f_measure
0.8284218484218485 [1,0.8,0.974359,0.871795,0.863636,0.923077,0.5,0.864865,1,0.486486]
f_measure
0.894589682961776 [1,0.820513,0.974359,0.888889,0.952381,0.918919,0.790698,0.923077,0.974359,0.702703]
f_measure
0.7885189790397071 [1,0.7,0.918919,0.857143,0.810811,0.85,0.342857,0.883721,1,0.521739]
f_measure
0.8492724258639116 [1,0.780488,0.95,0.842105,0.810811,0.952381,0.651163,0.926829,1,0.578947]
f_measure
0.8423156918577404 [1,0.8,0.947368,0.904762,0.789474,0.9,0.666667,0.883721,0.97561,0.555556]
f_measure
0.860021300907052 [1,0.842105,0.97561,0.95,0.820513,0.923077,0.634146,0.904762,0.95,0.6]
f_measure
0.8525705935560359 [1,0.820513,1,0.952381,0.918919,0.947368,0.424242,0.909091,1,0.553191]
f_measure
0.8236699578162993 [1,0.809524,0.926829,0.974359,0.756757,0.974359,0.5,0.871795,0.923077,0.5]
kappa
0.85
kappa
0.7944444444444444
kappa
0.8111111111111111
kappa
0.8833333333333333
kappa
0.7666666666666667
kappa
0.8333333333333333
kappa
0.8277777777777777
kappa
0.8444444444444444
kappa
0.8388888888888889
kappa
0.7999999999999999
kb_relative_information_score
0.8588227387743107
kb_relative_information_score
0.8065348642462777
kb_relative_information_score
0.8222212266046877
kb_relative_information_score
0.8901954634911305
kb_relative_information_score
0.7803909269822613
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.8535939513215075
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.811763651699081
mean_absolute_error
0.02700000000000001
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.034000000000000016
mean_absolute_error
0.021000000000000005
mean_absolute_error
0.04200000000000001
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.03600000000000002
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
0.8677750659587044 [1,0.73913,0.952381,0.947368,0.818182,1,0.636364,0.944444,0.952381,0.6875]
precision
0.8204123164417283 [1,0.714286,1,0.888889,0.772727,0.9,0.529412,0.857143,1,0.541667]
precision
0.8324360165118679 [1,0.72,1,0.894737,0.791667,0.947368,0.5,0.941176,1,0.529412]
precision
0.9002400910436985 [1,0.842105,1,0.8,0.909091,1,0.73913,0.947368,1,0.764706]
precision
0.7938160177418488 [1,0.7,1,0.818182,0.882353,0.85,0.4,0.826087,1,0.461538]
precision
0.851680616910796 [1,0.761905,0.95,0.888889,0.882353,0.909091,0.608696,0.904762,1,0.611111]
precision
0.8436801242236025 [1,0.8,1,0.863636,0.833333,0.9,0.636364,0.826087,0.952381,0.625]
precision
0.861342750816435 [1,0.888889,0.952381,0.95,0.842105,0.947368,0.619048,0.863636,0.95,0.6]
precision
0.8604472525525156 [1,0.842105,1,0.909091,1,1,0.538462,0.833333,1,0.481481]
precision
0.8301457185745111 [1,0.772727,0.904762,1,0.823529,1,0.458333,0.894737,0.947368,0.5]
predictive_accuracy
0.865
predictive_accuracy
0.815
predictive_accuracy
0.83
predictive_accuracy
0.895
predictive_accuracy
0.79
predictive_accuracy
0.85
predictive_accuracy
0.845
predictive_accuracy
0.86
predictive_accuracy
0.855
predictive_accuracy
0.82
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
0.865 [0.95,0.85,1,0.9,0.9,0.95,0.7,0.85,1,0.55]
recall
0.815 [1,0.75,0.9,0.8,0.85,0.9,0.45,0.9,0.95,0.65]
recall
0.83 [1,0.9,0.95,0.85,0.95,0.9,0.5,0.8,1,0.45]
recall
0.895 [1,0.8,0.95,1,1,0.85,0.85,0.9,0.95,0.65]
recall
0.79 [1,0.7,0.85,0.9,0.75,0.85,0.3,0.95,1,0.6]
recall
0.85 [1,0.8,0.95,0.8,0.75,1,0.7,0.95,1,0.55]
recall
0.845 [1,0.8,0.9,0.95,0.75,0.9,0.7,0.95,1,0.5]
recall
0.86 [1,0.8,1,0.95,0.8,0.9,0.65,0.95,0.95,0.6]
recall
0.855 [1,0.8,1,1,0.85,0.9,0.35,1,1,0.65]
recall
0.82 [1,0.85,0.95,0.95,0.7,0.95,0.55,0.85,0.9,0.5]
relative_absolute_error
0.15000000000000024
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.1888888888888892
relative_absolute_error
0.11666666666666682
relative_absolute_error
0.23333333333333364
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.20000000000000032
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
0.16431676725154987
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.1843908891458578
root_mean_squared_error
0.1449137674618944
root_mean_squared_error
0.20493901531919198
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.1897366596101028
root_relative_squared_error
0.5477225575051665
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.6146362971528597
root_relative_squared_error
0.48304589153964833
root_relative_squared_error
0.6831300510639737
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.6324555320336763
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
332.6046310030506
usercpu_time_millis
331.04498499596957
usercpu_time_millis
325.6857379965368
usercpu_time_millis
330.39197500329465
usercpu_time_millis
315.27966399880825
usercpu_time_millis
312.8336779991514
usercpu_time_millis
313.6544600056368
usercpu_time_millis
321.81446900358424
usercpu_time_millis
323.6271819914691
usercpu_time_millis
324.38413300405955
usercpu_time_millis_testing
33.882907999213785
usercpu_time_millis_testing
33.90607999608619
usercpu_time_millis_testing
33.83550199941965
usercpu_time_millis_testing
34.84839700104203
usercpu_time_millis_testing
31.716202000097837
usercpu_time_millis_testing
31.7969039970194
usercpu_time_millis_testing
32.3821800047881
usercpu_time_millis_testing
32.10473299986916
usercpu_time_millis_testing
33.65515299810795
usercpu_time_millis_testing
33.347827004035935
usercpu_time_millis_training
298.7217230038368
usercpu_time_millis_training
297.1389049998834
usercpu_time_millis_training
291.8502359971171
usercpu_time_millis_training
295.5435780022526
usercpu_time_millis_training
283.5634619987104
usercpu_time_millis_training
281.036774002132
usercpu_time_millis_training
281.2722800008487
usercpu_time_millis_training
289.7097360037151
usercpu_time_millis_training
289.97202899336116
usercpu_time_millis_training
291.0363060000236
wall_clock_time_millis
332.64660835266113
wall_clock_time_millis
331.0849666595459
wall_clock_time_millis
373.80123138427734
wall_clock_time_millis
330.4901123046875
wall_clock_time_millis
347.3048210144043
wall_clock_time_millis
312.87145614624023
wall_clock_time_millis
313.69709968566895
wall_clock_time_millis
321.8553066253662
wall_clock_time_millis
359.68685150146484
wall_clock_time_millis
324.4669437408447
wall_clock_time_millis_testing
33.89716148376465
wall_clock_time_millis_testing
33.92195701599121
wall_clock_time_millis_testing
65.84763526916504
wall_clock_time_millis_testing
34.862518310546875
wall_clock_time_millis_testing
31.731367111206055
wall_clock_time_millis_testing
31.810760498046875
wall_clock_time_millis_testing
32.398223876953125
wall_clock_time_millis_testing
32.1192741394043
wall_clock_time_millis_testing
33.67114067077637
wall_clock_time_millis_testing
33.36167335510254
wall_clock_time_millis_training
298.7494468688965
wall_clock_time_millis_training
297.1630096435547
wall_clock_time_millis_training
307.9535961151123
wall_clock_time_millis_training
295.6275939941406
wall_clock_time_millis_training
315.57345390319824
wall_clock_time_millis_training
281.06069564819336
wall_clock_time_millis_training
281.2988758087158
wall_clock_time_millis_training
289.7360324859619
wall_clock_time_millis_training
326.0157108306885
wall_clock_time_millis_training
291.1052703857422