10328596
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)
8184239
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
690.6018801899403
13389
cache_size
200
13389
class_weight
null
13389
coef0
-0.6356144967116901
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.0008714226148272087
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
21032
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
21578878
description
https://api.openml.org/data/download/21578878/description.xml
-1
21578879
predictions
https://api.openml.org/data/download/21578879/predictions.arff
area_under_roc_curve
0.9086111111111111 [0.9975,0.890833,0.965278,0.928611,0.891667,0.943611,0.7825,0.938611,0.983889,0.763611]
average_cost
0
f_measure
0.8362765364047241 [0.997494,0.784504,0.946835,0.876574,0.805,0.910941,0.595642,0.887781,0.974874,0.58312]
kappa
0.8172222222222223
kb_relative_information_score
0.8279728928027752
mean_absolute_error
0.0329000000000002
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.83749411566942 [1,0.760563,0.958974,0.883249,0.805,0.927461,0.577465,0.885572,0.979798,0.596859]
predictive_accuracy
0.8355
prior_entropy
3.3219280948872383
recall
0.8355 [0.995,0.81,0.935,0.87,0.805,0.895,0.615,0.89,0.97,0.57]
relative_absolute_error
0.18277777777777326
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1813835714721711
root_relative_squared_error
0.6046119049072278
total_cost
0
area_under_roc_curve
0.9166666666666669 [0.975,0.930556,0.997222,0.9,0.933333,0.975,0.85,0.872222,0.997222,0.736111]
area_under_roc_curve
0.8888888888888888 [1,0.855556,0.919444,0.916667,0.861111,0.941667,0.705556,0.919444,0.975,0.794444]
area_under_roc_curve
0.9111111111111113 [1,0.936111,0.975,0.897222,0.955556,0.947222,0.747222,0.947222,1,0.705556]
area_under_roc_curve
0.9388888888888889 [1,0.891667,0.975,0.983333,0.972222,0.925,0.883333,0.947222,0.975,0.836111]
area_under_roc_curve
0.8805555555555555 [1,0.85,0.925,0.916667,0.841667,0.888889,0.677778,0.938889,1,0.766667]
area_under_roc_curve
0.9111111111111111 [1,0.886111,0.947222,0.866667,0.841667,0.966667,0.872222,0.969444,1,0.761111]
area_under_roc_curve
0.9194444444444442 [1,0.894444,0.95,0.966667,0.886111,0.897222,0.855556,0.988889,0.997222,0.758333]
area_under_roc_curve
0.9222222222222223 [1,0.888889,0.997222,0.944444,0.866667,0.972222,0.85,0.919444,0.947222,0.836111]
area_under_roc_curve
0.9111111111111111 [1,0.866667,0.997222,0.997222,0.894444,0.95,0.652778,0.988889,1,0.763889]
area_under_roc_curve
0.8861111111111112 [1,0.908333,0.969444,0.897222,0.863889,0.972222,0.730556,0.894444,0.947222,0.677778]
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
0.8493588254563863 [0.974359,0.8,0.97561,0.888889,0.818182,0.974359,0.681818,0.833333,0.97561,0.571429]
f_measure
0.8001192303631328 [1,0.714286,0.871795,0.85,0.75,0.878049,0.5,0.871795,0.974359,0.590909]
f_measure
0.8385259310078665 [1,0.837209,0.974359,0.864865,0.826087,0.923077,0.536585,0.923077,1,0.5]
f_measure
0.8910645308471394 [1,0.820513,0.974359,0.869565,0.95,0.918919,0.761905,0.923077,0.974359,0.717949]
f_measure
0.7854535704535703 [1,0.681818,0.918919,0.85,0.756757,0.8,0.444444,0.857143,1,0.545455]
f_measure
0.8388149627000998 [1,0.780488,0.923077,0.789474,0.756757,0.904762,0.695652,0.926829,1,0.611111]
f_measure
0.8533169232784124 [1,0.842105,0.947368,0.904762,0.780488,0.864865,0.714286,0.909091,0.97561,0.594595]
f_measure
0.8609722134946781 [1,0.8,0.97561,0.9,0.789474,0.95,0.681818,0.871795,0.923077,0.717949]
f_measure
0.8372591123040416 [1,0.789474,0.97561,0.97561,0.842105,0.947368,0.4,0.909091,1,0.533333]
f_measure
0.7979334313869161 [1,0.790698,0.926829,0.864865,0.769231,0.95,0.468085,0.842105,0.923077,0.444444]
kappa
0.8333333333333333
kappa
0.7777777777777778
kappa
0.8222222222222222
kappa
0.8777777777777778
kappa
0.7611111111111112
kappa
0.8222222222222222
kappa
0.8388888888888889
kappa
0.8444444444444444
kappa
0.8222222222222222
kappa
0.7722222222222223
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.7908485018878679
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.8849666760383273
kb_relative_information_score
0.7751621395294579
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.8483651638687042
kb_relative_information_score
0.8535939513215075
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.7856197144350645
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.022000000000000006
mean_absolute_error
0.04300000000000001
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.029000000000000012
mean_absolute_error
0.02800000000000001
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.041000000000000016
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
0.8603928571428571 [1,0.72,0.952381,1,0.75,1,0.625,0.9375,0.952381,0.666667]
precision
0.8032601389838233 [1,0.681818,0.894737,0.85,0.75,0.857143,0.5625,0.894737,1,0.541667]
precision
0.8435600762924426 [1,0.782609,1,0.941176,0.730769,0.947368,0.52381,0.947368,1,0.5625]
precision
0.8972819285977179 [1,0.842105,1,0.769231,0.95,1,0.727273,0.947368,1,0.736842]
precision
0.7916711229946525 [1,0.625,1,0.85,0.823529,0.8,0.5,0.818182,1,0.5]
precision
0.8437418811838316 [1,0.761905,0.947368,0.833333,0.823529,0.863636,0.615385,0.904762,1,0.6875]
precision
0.8570197776080128 [1,0.888889,1,0.863636,0.761905,0.941176,0.681818,0.833333,0.952381,0.647059]
precision
0.8639661654135338 [1,0.8,0.952381,0.9,0.833333,0.95,0.625,0.894737,0.947368,0.736842]
precision
0.8406984126984127 [1,0.833333,0.952381,0.952381,0.888889,1,0.466667,0.833333,1,0.48]
precision
0.8068207211692203 [1,0.73913,0.904762,0.941176,0.789474,0.95,0.407407,0.888889,0.947368,0.5]
predictive_accuracy
0.85
predictive_accuracy
0.8
predictive_accuracy
0.84
predictive_accuracy
0.89
predictive_accuracy
0.785
predictive_accuracy
0.84
predictive_accuracy
0.855
predictive_accuracy
0.86
predictive_accuracy
0.84
predictive_accuracy
0.795
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
0.85 [0.95,0.9,1,0.8,0.9,0.95,0.75,0.75,1,0.5]
recall
0.8 [1,0.75,0.85,0.85,0.75,0.9,0.45,0.85,0.95,0.65]
recall
0.84 [1,0.9,0.95,0.8,0.95,0.9,0.55,0.9,1,0.45]
recall
0.89 [1,0.8,0.95,1,0.95,0.85,0.8,0.9,0.95,0.7]
recall
0.785 [1,0.75,0.85,0.85,0.7,0.8,0.4,0.9,1,0.6]
recall
0.84 [1,0.8,0.9,0.75,0.7,0.95,0.8,0.95,1,0.55]
recall
0.855 [1,0.8,0.9,0.95,0.8,0.8,0.75,1,1,0.55]
recall
0.86 [1,0.8,1,0.9,0.75,0.95,0.75,0.85,0.9,0.7]
recall
0.84 [1,0.75,1,1,0.8,0.9,0.35,1,1,0.6]
recall
0.795 [1,0.85,0.95,0.8,0.75,0.95,0.55,0.8,0.9,0.4]
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.1222222222222224
relative_absolute_error
0.2388888888888892
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.16111111111111134
relative_absolute_error
0.15555555555555578
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.2277777777777781
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
0.17320508075688776
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.14832396974191328
root_mean_squared_error
0.20736441353327723
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.17029386365926405
root_mean_squared_error
0.16733200530681513
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.20248456731316591
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.49441323247304453
root_relative_squared_error
0.6912147117775912
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.5676462121975472
root_relative_squared_error
0.5577733510227175
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.6749485577105534
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
363.5000520007452
usercpu_time_millis
362.0701999971061
usercpu_time_millis
356.61473900836427
usercpu_time_millis
379.83935700322036
usercpu_time_millis
359.48590600310126
usercpu_time_millis
361.5281199963647
usercpu_time_millis
357.65534700476564
usercpu_time_millis
357.9237999947509
usercpu_time_millis
366.36708300648024
usercpu_time_millis
371.94323500443716
usercpu_time_millis_testing
35.6105290047708
usercpu_time_millis_testing
36.25001799809979
usercpu_time_millis_testing
35.1899540037266
usercpu_time_millis_testing
35.866703001374844
usercpu_time_millis_testing
35.40982200502185
usercpu_time_millis_testing
34.871240000939
usercpu_time_millis_testing
35.469441005261615
usercpu_time_millis_testing
35.91032699478092
usercpu_time_millis_testing
36.40847800124902
usercpu_time_millis_testing
35.76080100174295
usercpu_time_millis_training
327.8895229959744
usercpu_time_millis_training
325.8201819990063
usercpu_time_millis_training
321.42478500463767
usercpu_time_millis_training
343.9726540018455
usercpu_time_millis_training
324.0760839980794
usercpu_time_millis_training
326.6568799954257
usercpu_time_millis_training
322.18590599950403
usercpu_time_millis_training
322.01347299996996
usercpu_time_millis_training
329.9586050052312
usercpu_time_millis_training
336.1824340026942
wall_clock_time_millis
387.59374618530273
wall_clock_time_millis
386.1196041107178
wall_clock_time_millis
364.66407775878906
wall_clock_time_millis
411.88669204711914
wall_clock_time_millis
359.5309257507324
wall_clock_time_millis
497.5860118865967
wall_clock_time_millis
457.7009677886963
wall_clock_time_millis
437.9854202270508
wall_clock_time_millis
466.4340019226074
wall_clock_time_millis
507.997989654541
wall_clock_time_millis_testing
35.626888275146484
wall_clock_time_millis_testing
36.26561164855957
wall_clock_time_millis_testing
35.20512580871582
wall_clock_time_millis_testing
67.88325309753418
wall_clock_time_millis_testing
35.42661666870117
wall_clock_time_millis_testing
34.88636016845703
wall_clock_time_millis_testing
35.48479080200195
wall_clock_time_millis_testing
51.92995071411133
wall_clock_time_millis_testing
68.42899322509766
wall_clock_time_millis_testing
59.778451919555664
wall_clock_time_millis_training
351.96685791015625
wall_clock_time_millis_training
349.8539924621582
wall_clock_time_millis_training
329.45895195007324
wall_clock_time_millis_training
344.00343894958496
wall_clock_time_millis_training
324.10430908203125
wall_clock_time_millis_training
462.69965171813965
wall_clock_time_millis_training
422.21617698669434
wall_clock_time_millis_training
386.05546951293945
wall_clock_time_millis_training
398.00500869750977
wall_clock_time_millis_training
448.21953773498535