10328514
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)
8184161
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
39.92814436542338
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.0
13389
decision_function_shape
"ovr"
13389
degree
3
13389
gamma
0.05036976905345906
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
27567
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
21578714
description
https://api.openml.org/data/download/21578714/description.xml
-1
21578715
predictions
https://api.openml.org/data/download/21578715/predictions.arff
area_under_roc_curve
0.886111111111111 [0.9775,0.858611,0.956389,0.907778,0.919167,0.961667,0.699167,0.911944,0.981667,0.687222]
average_cost
0
f_measure
0.7931811913893716 [0.976982,0.775726,0.945736,0.863874,0.780488,0.852679,0.463104,0.846348,0.974747,0.452128]
kappa
0.7722222222222223
kb_relative_information_score
0.7856197144350705
mean_absolute_error
0.041000000000000314
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7969731483839001 [1,0.821229,0.97861,0.906593,0.701195,0.770161,0.471503,0.852792,0.984694,0.482955]
predictive_accuracy
0.795
prior_entropy
3.3219280948872383
recall
0.795 [0.955,0.735,0.915,0.825,0.88,0.955,0.455,0.84,0.965,0.425]
relative_absolute_error
0.22777777777777253
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.20248456731316664
root_relative_squared_error
0.6749485577105452
total_cost
0
area_under_roc_curve
0.8666666666666666 [0.975,0.897222,0.947222,0.875,0.897222,0.966667,0.619444,0.794444,0.997222,0.697222]
area_under_roc_curve
0.886111111111111 [0.975,0.816667,0.975,0.941667,0.897222,0.936111,0.675,0.919444,0.975,0.75]
area_under_roc_curve
0.8833333333333333 [0.95,0.836111,0.95,0.869444,0.972222,0.963889,0.719444,0.894444,0.975,0.702778]
area_under_roc_curve
0.9027777777777776 [1,0.797222,0.95,0.941667,0.947222,0.961111,0.847222,0.894444,0.975,0.713889]
area_under_roc_curve
0.8666666666666666 [0.975,0.786111,0.95,0.869444,0.936111,0.983333,0.669444,0.858333,1,0.638889]
area_under_roc_curve
0.8916666666666667 [1,0.95,1,0.85,0.902778,0.944444,0.627778,0.969444,1,0.672222]
area_under_roc_curve
0.8916666666666666 [0.925,0.869444,0.95,0.941667,0.888889,0.95,0.822222,0.961111,0.997222,0.611111]
area_under_roc_curve
0.9083333333333333 [1,0.9,0.972222,0.897222,0.936111,0.988889,0.769444,0.941667,0.975,0.702778]
area_under_roc_curve
0.9138888888888889 [1,0.869444,0.975,0.969444,0.966667,0.966667,0.608333,0.994444,1,0.788889]
area_under_roc_curve
0.8500000000000001 [0.975,0.863889,0.894444,0.922222,0.847222,0.955556,0.633333,0.891667,0.922222,0.594444]
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
0.757350406488048 [0.974359,0.723404,0.923077,0.857143,0.723404,0.904762,0.324324,0.705882,0.97561,0.461538]
f_measure
0.7938188787658984 [0.974359,0.722222,0.974359,0.878049,0.723404,0.837209,0.432432,0.871795,0.974359,0.55]
f_measure
0.7897972903149486 [0.947368,0.717949,0.947368,0.810811,0.8,0.883721,0.487805,0.842105,0.974359,0.486486]
f_measure
0.8220421946169241 [1,0.727273,0.947368,0.878049,0.77551,0.863636,0.666667,0.842105,0.974359,0.545455]
f_measure
0.7579925101917532 [0.974359,0.648649,0.947368,0.810811,0.837209,0.869565,0.410256,0.731707,1,0.35]
f_measure
0.7987276464715113 [1,0.947368,1,0.823529,0.755556,0.76,0.352941,0.926829,1,0.421053]
f_measure
0.7955756687367725 [0.918919,0.810811,0.947368,0.878049,0.8,0.791667,0.636364,0.863636,0.97561,0.333333]
f_measure
0.834708774138723 [1,0.888889,0.95,0.864865,0.837209,0.909091,0.55814,0.878049,0.974359,0.486486]
f_measure
0.8361701851832869 [1,0.810811,0.974359,0.926829,0.904762,0.904762,0.322581,0.952381,1,0.565217]
f_measure
0.7299546245770502 [0.974359,0.769231,0.842105,0.894737,0.666667,0.826087,0.333333,0.820513,0.894737,0.277778]
kappa
0.7333333333333334
kappa
0.7722222222222223
kappa
0.7666666666666667
kappa
0.8055555555555555
kappa
0.7333333333333334
kappa
0.7833333333333334
kappa
0.7833333333333334
kappa
0.8166666666666667
kappa
0.8277777777777777
kappa
0.7
kb_relative_information_score
0.7490182022654411
kb_relative_information_score
0.7856197144350645
kb_relative_information_score
0.7803909269822613
kb_relative_information_score
0.8169924391518844
kb_relative_information_score
0.7490182022654411
kb_relative_information_score
0.7960772893406711
kb_relative_information_score
0.7960772893406711
kb_relative_information_score
0.827450014057491
kb_relative_information_score
0.8379075889630976
kb_relative_information_score
0.7176454775486207
mean_absolute_error
0.04799999999999999
mean_absolute_error
0.041000000000000016
mean_absolute_error
0.04200000000000001
mean_absolute_error
0.03500000000000002
mean_absolute_error
0.04799999999999999
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.03900000000000002
mean_absolute_error
0.033000000000000015
mean_absolute_error
0.031000000000000014
mean_absolute_error
0.053999999999999965
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
0.7706413240468968 [1,0.62963,0.947368,1,0.62963,0.863636,0.352941,0.857143,0.952381,0.473684]
precision
0.7997206259824041 [1,0.8125,1,0.857143,0.62963,0.782609,0.470588,0.894737,1,0.55]
precision
0.8006439799413282 [1,0.736842,1,0.882353,0.666667,0.826087,0.47619,0.888889,1,0.529412]
precision
0.840825544187613 [1,0.923077,1,0.857143,0.655172,0.791667,0.6,0.888889,1,0.692308]
precision
0.7625413104865253 [1,0.705882,1,0.882353,0.782609,0.769231,0.421053,0.714286,1,0.35]
precision
0.8091111111111111 [1,1,1,1,0.68,0.633333,0.428571,0.904762,1,0.444444]
precision
0.8045448179271709 [1,0.882353,1,0.857143,0.8,0.678571,0.583333,0.791667,0.952381,0.5]
precision
0.8415412251857266 [1,1,0.95,0.941176,0.782609,0.833333,0.521739,0.857143,1,0.529412]
precision
0.8378023936847466 [1,0.882353,1,0.904762,0.863636,0.863636,0.454545,0.909091,1,0.5]
precision
0.7370807774097247 [1,0.789474,0.888889,0.944444,0.6,0.730769,0.318182,0.842105,0.944444,0.3125]
predictive_accuracy
0.76
predictive_accuracy
0.795
predictive_accuracy
0.79
predictive_accuracy
0.825
predictive_accuracy
0.76
predictive_accuracy
0.805
predictive_accuracy
0.805
predictive_accuracy
0.835
predictive_accuracy
0.845
predictive_accuracy
0.73
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
0.76 [0.95,0.85,0.9,0.75,0.85,0.95,0.3,0.6,1,0.45]
recall
0.795 [0.95,0.65,0.95,0.9,0.85,0.9,0.4,0.85,0.95,0.55]
recall
0.79 [0.9,0.7,0.9,0.75,1,0.95,0.5,0.8,0.95,0.45]
recall
0.825 [1,0.6,0.9,0.9,0.95,0.95,0.75,0.8,0.95,0.45]
recall
0.76 [0.95,0.6,0.9,0.75,0.9,1,0.4,0.75,1,0.35]
recall
0.805 [1,0.9,1,0.7,0.85,0.95,0.3,0.95,1,0.4]
recall
0.805 [0.85,0.75,0.9,0.9,0.8,0.95,0.7,0.95,1,0.25]
recall
0.835 [1,0.8,0.95,0.8,0.9,1,0.6,0.9,0.95,0.45]
recall
0.845 [1,0.75,0.95,0.95,0.95,0.95,0.25,1,1,0.65]
recall
0.73 [0.95,0.75,0.8,0.85,0.75,0.95,0.35,0.8,0.85,0.25]
relative_absolute_error
0.2666666666666669
relative_absolute_error
0.2277777777777781
relative_absolute_error
0.23333333333333364
relative_absolute_error
0.19444444444444475
relative_absolute_error
0.2666666666666669
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.21666666666666703
relative_absolute_error
0.18333333333333365
relative_absolute_error
0.1722222222222225
relative_absolute_error
0.30000000000000016
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
0.21908902300206642
root_mean_squared_error
0.20248456731316591
root_mean_squared_error
0.20493901531919198
root_mean_squared_error
0.1870828693386971
root_mean_squared_error
0.21908902300206642
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.19748417658131504
root_mean_squared_error
0.18165902124584954
root_mean_squared_error
0.17606816861659014
root_mean_squared_error
0.23237900077244494
root_relative_squared_error
0.7302967433402218
root_relative_squared_error
0.6749485577105534
root_relative_squared_error
0.6831300510639737
root_relative_squared_error
0.6236095644623241
root_relative_squared_error
0.7302967433402218
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.6582805886043839
root_relative_squared_error
0.6055300708194988
root_relative_squared_error
0.5868938953886341
root_relative_squared_error
0.7745966692414835
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
1138.6031520014512
usercpu_time_millis
1151.3030440037255
usercpu_time_millis
1144.0913950063987
usercpu_time_millis
1127.5151969966828
usercpu_time_millis
1153.5532889975002
usercpu_time_millis
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usercpu_time_millis
1157.4895110097714
usercpu_time_millis
1149.9583340046229
usercpu_time_millis
1156.9205550040351
usercpu_time_millis
1152.13341100025
usercpu_time_millis_testing
59.36542899871711
usercpu_time_millis_testing
57.69874100224115
usercpu_time_millis_testing
57.6548230019398
usercpu_time_millis_testing
58.238075995177496
usercpu_time_millis_testing
58.6240810007439
usercpu_time_millis_testing
62.0597489978536
usercpu_time_millis_testing
58.06337300600717
usercpu_time_millis_testing
58.62531100137858
usercpu_time_millis_testing
58.915796005749144
usercpu_time_millis_testing
58.29503700078931
usercpu_time_millis_training
1079.2377230027341
usercpu_time_millis_training
1093.6043030014844
usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
1099.4261380037642
usercpu_time_millis_training
1091.3330230032443
usercpu_time_millis_training
1098.004758998286
usercpu_time_millis_training
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wall_clock_time_millis
1418.710470199585
wall_clock_time_millis
1363.5053634643555
wall_clock_time_millis
1164.2003059387207
wall_clock_time_millis
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wall_clock_time_millis
1549.6764183044434
wall_clock_time_millis
1201.1656761169434
wall_clock_time_millis
1213.5891914367676
wall_clock_time_millis
1554.079532623291
wall_clock_time_millis
1197.3068714141846
wall_clock_time_millis
1208.2388401031494
wall_clock_time_millis_testing
91.3853645324707
wall_clock_time_millis_testing
57.78622627258301
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
102.37407684326172
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
106.08243942260742
wall_clock_time_millis_testing
58.652639389038086
wall_clock_time_millis_testing
58.93993377685547
wall_clock_time_millis_testing
106.31561279296875
wall_clock_time_millis_training
1327.3251056671143
wall_clock_time_millis_training
1305.7191371917725
wall_clock_time_millis_training
1106.5301895141602
wall_clock_time_millis_training
1069.3590641021729
wall_clock_time_millis_training
1491.0364151000977
wall_clock_time_millis_training
1139.0893459320068
wall_clock_time_millis_training
1107.5067520141602
wall_clock_time_millis_training
1495.426893234253
wall_clock_time_millis_training
1138.366937637329
wall_clock_time_millis_training
1101.9232273101807