10401272
1
Jan van Rijn
14
Supervised Classification
16360
sklearn.svm.classes.SVC(32)
8239042
C
48.523927439868785
16360
cache_size
200
16360
class_weight
null
16360
coef0
0.0
16360
decision_function_shape
"ovr"
16360
degree
3
16360
gamma
0.001313888451737273
16360
kernel
"rbf"
16360
max_iter
-1
16360
probability
false
16360
random_state
53535
16360
shrinking
false
16360
tol
0.0017389620618750302
16360
verbose
false
16360
openml-python
Sklearn_0.21.2.
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
21724329
description
https://api.openml.org/data/download/21724329/description.xml
-1
21724330
predictions
https://api.openml.org/data/download/21724330/predictions.arff
area_under_roc_curve
0.8919444444444445 [0.994722,0.8475,0.961111,0.913056,0.845278,0.953611,0.751944,0.938333,0.980833,0.733056]
average_cost
0
f_measure
0.8053853199059278 [0.992481,0.74036,0.93,0.872063,0.768392,0.904177,0.542373,0.809735,0.967419,0.526854]
kappa
0.7838888888888889
kb_relative_information_score
0.7966001680859567
mean_absolute_error
0.03890000000000028
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.8093776542794519 [0.994975,0.761905,0.93,0.912568,0.844311,0.888889,0.525822,0.72619,0.969849,0.539267]
predictive_accuracy
0.8055
prior_entropy
3.3219280948872383
recall
0.8055 [0.99,0.72,0.93,0.835,0.705,0.92,0.56,0.915,0.965,0.515]
relative_absolute_error
0.21611111111110604
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.1972308292331609
root_relative_squared_error
0.6574360974438597
total_cost
0
area_under_roc_curve
0.8583333333333334 [0.975,0.927778,0.963889,0.872222,0.891667,0.975,0.555556,0.888889,0.972222,0.561111]
area_under_roc_curve
0.8944444444444444 [1,0.866667,0.969444,0.922222,0.791667,0.936111,0.847222,0.905556,0.972222,0.733333]
area_under_roc_curve
0.9166666666666665 [1,0.863889,0.975,0.888889,0.894444,0.944444,0.825,0.936111,1,0.838889]
area_under_roc_curve
0.8888888888888888 [0.975,0.811111,0.95,0.969444,0.883333,0.941667,0.752778,0.883333,0.972222,0.75]
area_under_roc_curve
0.8833333333333333 [1,0.761111,0.975,0.916667,0.816667,0.961111,0.747222,0.927778,1,0.727778]
area_under_roc_curve
0.8972222222222223 [1,0.841667,0.969444,0.85,0.888889,0.969444,0.775,0.955556,0.975,0.747222]
area_under_roc_curve
0.9111111111111111 [1,0.836111,0.925,0.944444,0.822222,0.944444,0.855556,0.972222,1,0.811111]
area_under_roc_curve
0.8999999999999999 [1,0.861111,0.972222,0.919444,0.844444,0.922222,0.797222,0.955556,0.972222,0.755556]
area_under_roc_curve
0.9111111111111111 [1,0.844444,0.997222,0.997222,0.8,0.969444,0.702778,0.983333,1,0.816667]
area_under_roc_curve
0.8583333333333333 [0.997222,0.861111,0.913889,0.85,0.819444,0.972222,0.661111,0.975,0.944444,0.588889]
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
0.7429420044238308 [0.974359,0.782609,0.883721,0.833333,0.820513,0.974359,0.2,0.8,0.95,0.210526]
f_measure
0.8078912877597834 [1,0.789474,0.926829,0.894737,0.685714,0.837209,0.666667,0.772727,0.95,0.555556]
f_measure
0.8510909205034052 [1,0.769231,0.974359,0.8,0.842105,0.9,0.651163,0.837209,1,0.736842]
f_measure
0.799872805841997 [0.974359,0.684211,0.947368,0.926829,0.761905,0.878049,0.564103,0.761905,0.95,0.55]
f_measure
0.7866838522308187 [1,0.611111,0.974359,0.85,0.722222,0.863636,0.536585,0.782609,1,0.526316]
f_measure
0.8156341855499736 [1,0.756757,0.926829,0.823529,0.8,0.926829,0.585366,0.826087,0.974359,0.536585]
f_measure
0.8400069759822082 [1,0.717949,0.918919,0.9,0.764706,0.9,0.714286,0.8,1,0.684211]
f_measure
0.8203994979411401 [1,0.75,0.95,0.871795,0.777778,0.894737,0.604651,0.826087,0.95,0.578947]
f_measure
0.8370573914317286 [1,0.777778,0.97561,0.97561,0.75,0.926829,0.486486,0.869565,1,0.608696]
f_measure
0.7431701409703804 [0.97561,0.75,0.829268,0.823529,0.742857,0.95,0.380952,0.816327,0.9,0.263158]
kappa
0.7166666666666667
kappa
0.788888888888889
kappa
0.8333333333333333
kappa
0.7777777777777778
kappa
0.7666666666666667
kappa
0.7944444444444444
kappa
0.8222222222222222
kappa
0.7999999999999999
kappa
0.8222222222222222
kappa
0.7166666666666667
kb_relative_information_score
0.7333318399070311
kb_relative_information_score
0.8013060767934745
kb_relative_information_score
0.8431363764159009
kb_relative_information_score
0.7908485018878679
kb_relative_information_score
0.7803909269822614
kb_relative_information_score
0.8065348642462777
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.811763651699081
kb_relative_information_score
0.8326788015102943
kb_relative_information_score
0.7333318399070311
mean_absolute_error
0.050999999999999976
mean_absolute_error
0.03800000000000002
mean_absolute_error
0.030000000000000013
mean_absolute_error
0.040000000000000015
mean_absolute_error
0.04200000000000001
mean_absolute_error
0.03700000000000002
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.03600000000000002
mean_absolute_error
0.032000000000000015
mean_absolute_error
0.050999999999999976
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
0.7470222134209549 [1,0.692308,0.826087,0.9375,0.842105,1,0.2,0.8,0.95,0.222222]
precision
0.814848171152519 [1,0.833333,0.904762,0.944444,0.8,0.782609,0.6,0.708333,0.95,0.625]
precision
0.8547444698703279 [1,0.789474,1,0.8,0.888889,0.9,0.608696,0.782609,1,0.777778]
precision
0.801761980709349 [1,0.722222,1,0.904762,0.727273,0.857143,0.578947,0.727273,0.95,0.55]
precision
0.7913339438339438 [1,0.6875,1,0.85,0.8125,0.791667,0.52381,0.692308,1,0.555556]
precision
0.8259060547295843 [1,0.823529,0.904762,1,0.8,0.904762,0.571429,0.730769,1,0.52381]
precision
0.8536120604541658 [1,0.736842,1,0.9,0.928571,0.9,0.681818,0.666667,1,0.722222]
precision
0.8271279019734398 [1,0.75,0.95,0.894737,0.875,0.944444,0.565217,0.730769,0.95,0.611111]
precision
0.8521627881922 [1,0.875,0.952381,0.952381,1,0.904762,0.529412,0.769231,1,0.538462]
precision
0.7559640742399364 [0.952381,0.75,0.809524,1,0.866667,0.95,0.363636,0.689655,0.9,0.277778]
predictive_accuracy
0.745
predictive_accuracy
0.81
predictive_accuracy
0.85
predictive_accuracy
0.8
predictive_accuracy
0.79
predictive_accuracy
0.815
predictive_accuracy
0.84
predictive_accuracy
0.82
predictive_accuracy
0.84
predictive_accuracy
0.745
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
0.745 [0.95,0.9,0.95,0.75,0.8,0.95,0.2,0.8,0.95,0.2]
recall
0.81 [1,0.75,0.95,0.85,0.6,0.9,0.75,0.85,0.95,0.5]
recall
0.85 [1,0.75,0.95,0.8,0.8,0.9,0.7,0.9,1,0.7]
recall
0.8 [0.95,0.65,0.9,0.95,0.8,0.9,0.55,0.8,0.95,0.55]
recall
0.79 [1,0.55,0.95,0.85,0.65,0.95,0.55,0.9,1,0.5]
recall
0.815 [1,0.7,0.95,0.7,0.8,0.95,0.6,0.95,0.95,0.55]
recall
0.84 [1,0.7,0.85,0.9,0.65,0.9,0.75,1,1,0.65]
recall
0.82 [1,0.75,0.95,0.85,0.7,0.85,0.65,0.95,0.95,0.55]
recall
0.84 [1,0.7,1,1,0.6,0.95,0.45,1,1,0.7]
recall
0.745 [1,0.75,0.85,0.7,0.65,0.95,0.4,1,0.9,0.25]
relative_absolute_error
0.28333333333333355
relative_absolute_error
0.21111111111111147
relative_absolute_error
0.16666666666666693
relative_absolute_error
0.22222222222222257
relative_absolute_error
0.23333333333333364
relative_absolute_error
0.20555555555555588
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.20000000000000032
relative_absolute_error
0.17777777777777806
relative_absolute_error
0.28333333333333355
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
0.22583179581272425
root_mean_squared_error
0.19493588689617933
root_mean_squared_error
0.17320508075688776
root_mean_squared_error
0.20000000000000004
root_mean_squared_error
0.20493901531919198
root_mean_squared_error
0.19235384061671348
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.1897366596101028
root_mean_squared_error
0.1788854381999832
root_mean_squared_error
0.22583179581272425
root_relative_squared_error
0.7527726527090813
root_relative_squared_error
0.6497862896539316
root_relative_squared_error
0.5773502691896262
root_relative_squared_error
0.6666666666666672
root_relative_squared_error
0.6831300510639737
root_relative_squared_error
0.6411794687223786
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.6324555320336763
root_relative_squared_error
0.5962847939999444
root_relative_squared_error
0.7527726527090813
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
458.20141100011824
usercpu_time_millis
458.1933980002759
usercpu_time_millis
455.37483299995074
usercpu_time_millis
457.38929599974654
usercpu_time_millis
457.1853489997011
usercpu_time_millis
458.68386000006467
usercpu_time_millis
460.0553669999954
usercpu_time_millis
458.19708199996967
usercpu_time_millis
458.01672300012797
usercpu_time_millis
457.15855899993585
usercpu_time_millis_testing
46.87485699992067
usercpu_time_millis_testing
46.705220000148984
usercpu_time_millis_testing
46.76318499991794
usercpu_time_millis_testing
46.774776999882306
usercpu_time_millis_testing
46.714968999822304
usercpu_time_millis_testing
46.87071100011053
usercpu_time_millis_testing
46.85301700010314
usercpu_time_millis_testing
46.7668369999501
usercpu_time_millis_testing
46.757861000060075
usercpu_time_millis_testing
46.96116700006314
usercpu_time_millis_training
411.3265540001976
usercpu_time_millis_training
411.48817800012694
usercpu_time_millis_training
408.6116480000328
usercpu_time_millis_training
410.61451899986423
usercpu_time_millis_training
410.4703799998788
usercpu_time_millis_training
411.81314899995414
usercpu_time_millis_training
413.20234999989225
usercpu_time_millis_training
411.43024500001957
usercpu_time_millis_training
411.2588620000679
usercpu_time_millis_training
410.1973919998727
wall_clock_time_millis
458.24170112609863
wall_clock_time_millis
458.2333564758301
wall_clock_time_millis
455.3854465484619
wall_clock_time_millis
457.4005603790283
wall_clock_time_millis
457.19361305236816
wall_clock_time_millis
458.70113372802734
wall_clock_time_millis
460.0648880004883
wall_clock_time_millis
458.2076072692871
wall_clock_time_millis
458.0349922180176
wall_clock_time_millis
457.1681022644043
wall_clock_time_millis_testing
46.88310623168945
wall_clock_time_millis_testing
46.71359062194824
wall_clock_time_millis_testing
46.77176475524902
wall_clock_time_millis_testing
46.78487777709961
wall_clock_time_millis_testing
46.722412109375
wall_clock_time_millis_testing
46.87809944152832
wall_clock_time_millis_testing
46.8602180480957
wall_clock_time_millis_testing
46.77438735961914
wall_clock_time_millis_testing
46.76699638366699
wall_clock_time_millis_testing
46.96941375732422
wall_clock_time_millis_training
411.3585948944092
wall_clock_time_millis_training
411.51976585388184
wall_clock_time_millis_training
408.6136817932129
wall_clock_time_millis_training
410.6156826019287
wall_clock_time_millis_training
410.47120094299316
wall_clock_time_millis_training
411.823034286499
wall_clock_time_millis_training
413.2046699523926
wall_clock_time_millis_training
411.43321990966797
wall_clock_time_millis_training
411.2679958343506
wall_clock_time_millis_training
410.1986885070801