10372766
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)
8228109
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
0.8002116789865572
13389
cache_size
200
13389
class_weight
null
13389
coef0
0.346790741622226
13389
decision_function_shape
"ovr"
13389
degree
5
13389
gamma
0.056654090108587324
13389
kernel
"rbf"
13389
max_iter
-1
13389
probability
false
13389
random_state
15930
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
21667237
description
https://api.openml.org/data/download/21667237/description.xml
-1
21667238
predictions
https://api.openml.org/data/download/21667238/predictions.arff
area_under_roc_curve
0.8602777777777777 [0.9575,0.837778,0.941389,0.854444,0.881667,0.949722,0.680278,0.873611,0.971667,0.654722]
average_cost
0
f_measure
0.7503564240113757 [0.955614,0.758242,0.929134,0.791209,0.59396,0.843537,0.448753,0.810667,0.964286,0.408163]
kappa
0.7205555555555556
kb_relative_information_score
0.7369919911240013
mean_absolute_error
0.05030000000000044
mean_prior_absolute_error
0.18000000000000554
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
precision
0.7761729185087012 [1,0.841463,0.977901,0.878049,0.44697,0.771784,0.503106,0.868571,0.984375,0.48951]
predictive_accuracy
0.7484999999999999
prior_entropy
3.3219280948872383
recall
0.7485 [0.915,0.69,0.885,0.72,0.885,0.93,0.405,0.76,0.945,0.35]
relative_absolute_error
0.2794444444444383
root_mean_prior_squared_error
0.3000000000000046
root_mean_squared_error
0.22427661492005901
root_relative_squared_error
0.7475887164001853
total_cost
0
area_under_roc_curve
0.8555555555555554 [0.95,0.908333,0.875,0.872222,0.872222,0.952778,0.580556,0.869444,0.997222,0.677778]
area_under_roc_curve
0.8638888888888888 [0.975,0.769444,0.975,0.938889,0.866667,0.944444,0.675,0.844444,0.95,0.7]
area_under_roc_curve
0.85 [0.925,0.838889,0.95,0.769444,0.927778,0.941667,0.719444,0.844444,0.975,0.608333]
area_under_roc_curve
0.8666666666666668 [1,0.794444,0.9,0.866667,0.911111,0.955556,0.758333,0.819444,0.975,0.686111]
area_under_roc_curve
0.8583333333333333 [0.975,0.788889,0.95,0.844444,0.905556,0.986111,0.675,0.858333,1,0.6]
area_under_roc_curve
0.8666666666666667 [0.95,0.925,0.997222,0.75,0.883333,0.952778,0.630556,0.897222,1,0.680556]
area_under_roc_curve
0.8472222222222223 [0.9,0.819444,0.95,0.891667,0.816667,0.936111,0.730556,0.866667,0.972222,0.588889]
area_under_roc_curve
0.8777777777777778 [0.975,0.9,0.972222,0.794444,0.861111,0.919444,0.802778,0.894444,0.95,0.708333]
area_under_roc_curve
0.8861111111111112 [0.975,0.794444,0.975,0.966667,0.927778,0.941667,0.611111,0.947222,1,0.722222]
area_under_roc_curve
0.8305555555555556 [0.95,0.838889,0.869444,0.85,0.844444,0.966667,0.619444,0.894444,0.897222,0.575]
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
0.7333125308870003 [0.947368,0.790698,0.857143,0.833333,0.607143,0.808511,0.258065,0.810811,0.97561,0.444444]
f_measure
0.7589997210868356 [0.974359,0.666667,0.974359,0.857143,0.586207,0.9,0.432432,0.777778,0.947368,0.473684]
f_measure
0.7255987855035312 [0.918919,0.736842,0.947368,0.666667,0.678571,0.745098,0.487805,0.777778,0.974359,0.322581]
f_measure
0.7619894305027978 [1,0.705882,0.888889,0.789474,0.612903,0.826087,0.594595,0.742857,0.974359,0.484848]
f_measure
0.7379984791976031 [0.974359,0.666667,0.947368,0.777778,0.666667,0.888889,0.432432,0.731707,1,0.294118]
f_measure
0.7583363647968058 [0.947368,0.918919,0.97561,0.666667,0.580645,0.808511,0.363636,0.864865,1,0.457143]
f_measure
0.7287413570950904 [0.888889,0.742857,0.947368,0.820513,0.484848,0.837209,0.540541,0.789474,0.95,0.285714]
f_measure
0.7895497494610233 [0.974359,0.888889,0.95,0.705882,0.566667,0.871795,0.634146,0.842105,0.947368,0.514286]
f_measure
0.787239267189052 [0.974359,0.705882,0.974359,0.904762,0.678571,0.878049,0.333333,0.923077,1,0.5]
f_measure
0.7012182863576051 [0.947368,0.736842,0.810811,0.823529,0.515152,0.904762,0.324324,0.842105,0.864865,0.242424]
kappa
0.7111111111111111
kappa
0.7277777777777777
kappa
0.7
kappa
0.7333333333333334
kappa
0.7166666666666667
kappa
0.7333333333333334
kappa
0.6944444444444444
kappa
0.7555555555555555
kappa
0.7722222222222223
kappa
0.6611111111111111
kb_relative_information_score
0.7281030524542276
kb_relative_information_score
0.7437894148126378
kb_relative_information_score
0.7176454775486207
kb_relative_information_score
0.7490182022654411
kb_relative_information_score
0.7333318399070311
kb_relative_information_score
0.7490182022654411
kb_relative_information_score
0.7124166900958173
kb_relative_information_score
0.7699333520766547
kb_relative_information_score
0.7856197144350645
kb_relative_information_score
0.6810439653789969
mean_absolute_error
0.05199999999999998
mean_absolute_error
0.04899999999999999
mean_absolute_error
0.053999999999999965
mean_absolute_error
0.04799999999999999
mean_absolute_error
0.050999999999999976
mean_absolute_error
0.04799999999999999
mean_absolute_error
0.054999999999999966
mean_absolute_error
0.044000000000000004
mean_absolute_error
0.041000000000000016
mean_absolute_error
0.06099999999999994
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
0.7550926617902322 [1,0.73913,1,0.9375,0.472222,0.703704,0.363636,0.882353,0.952381,0.5]
precision
0.7857292320682413 [1,0.846154,1,0.818182,0.447368,0.9,0.470588,0.875,1,0.5]
precision
0.7570348558251784 [1,0.777778,1,0.846154,0.527778,0.612903,0.47619,0.875,1,0.454545]
precision
0.8002736479207069 [1,0.857143,1,0.833333,0.452381,0.730769,0.647059,0.866667,1,0.615385]
precision
0.749642857142857 [1,0.75,1,0.875,0.529412,0.8,0.470588,0.714286,1,0.357143]
precision
0.8020704350116113 [1,1,0.952381,1,0.428571,0.703704,0.461538,0.941176,1,0.533333]
precision
0.7710775339884239 [1,0.866667,1,0.842105,0.347826,0.782609,0.588235,0.833333,0.95,0.5]
precision
0.8234816207184628 [1,1,0.95,0.857143,0.425,0.894737,0.619048,0.888889,1,0.6]
precision
0.8053068276752486 [1,0.857143,1,0.863636,0.527778,0.857143,0.5,0.947368,1,0.5]
precision
0.7384031143621936 [1,0.777778,0.882353,1,0.369565,0.863636,0.352941,0.888889,0.941176,0.307692]
predictive_accuracy
0.74
predictive_accuracy
0.755
predictive_accuracy
0.73
predictive_accuracy
0.76
predictive_accuracy
0.745
predictive_accuracy
0.76
predictive_accuracy
0.725
predictive_accuracy
0.78
predictive_accuracy
0.795
predictive_accuracy
0.695
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
0.74 [0.9,0.85,0.75,0.75,0.85,0.95,0.2,0.75,1,0.4]
recall
0.755 [0.95,0.55,0.95,0.9,0.85,0.9,0.4,0.7,0.9,0.45]
recall
0.73 [0.85,0.7,0.9,0.55,0.95,0.95,0.5,0.7,0.95,0.25]
recall
0.76 [1,0.6,0.8,0.75,0.95,0.95,0.55,0.65,0.95,0.4]
recall
0.745 [0.95,0.6,0.9,0.7,0.9,1,0.4,0.75,1,0.25]
recall
0.76 [0.9,0.85,1,0.5,0.9,0.95,0.3,0.8,1,0.4]
recall
0.725 [0.8,0.65,0.9,0.8,0.8,0.9,0.5,0.75,0.95,0.2]
recall
0.78 [0.95,0.8,0.95,0.6,0.85,0.85,0.65,0.8,0.9,0.45]
recall
0.795 [0.95,0.6,0.95,0.95,0.95,0.9,0.25,0.9,1,0.5]
recall
0.695 [0.9,0.7,0.75,0.7,0.85,0.95,0.3,0.8,0.8,0.2]
relative_absolute_error
0.2888888888888891
relative_absolute_error
0.2722222222222225
relative_absolute_error
0.30000000000000016
relative_absolute_error
0.2666666666666669
relative_absolute_error
0.28333333333333355
relative_absolute_error
0.2666666666666669
relative_absolute_error
0.3055555555555557
relative_absolute_error
0.24444444444444474
relative_absolute_error
0.2277777777777781
relative_absolute_error
0.3388888888888889
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
0.22803508501982755
root_mean_squared_error
0.22135943621178653
root_mean_squared_error
0.23237900077244494
root_mean_squared_error
0.21908902300206642
root_mean_squared_error
0.22583179581272425
root_mean_squared_error
0.21908902300206642
root_mean_squared_error
0.2345207879911714
root_mean_squared_error
0.20976176963403032
root_mean_squared_error
0.20248456731316591
root_mean_squared_error
0.24698178070456928
root_relative_squared_error
0.7601169500660923
root_relative_squared_error
0.7378647873726222
root_relative_squared_error
0.7745966692414835
root_relative_squared_error
0.7302967433402218
root_relative_squared_error
0.7527726527090813
root_relative_squared_error
0.7302967433402218
root_relative_squared_error
0.7817359599705718
root_relative_squared_error
0.6992058987801015
root_relative_squared_error
0.6749485577105534
root_relative_squared_error
0.8232726023485647
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
1263.6294509975414
usercpu_time_millis
1266.7998969991459
usercpu_time_millis
1275.514666998788
usercpu_time_millis
1292.635279995011
usercpu_time_millis
1280.1878390018828
usercpu_time_millis
1260.5264439989696
usercpu_time_millis
1257.765742000629
usercpu_time_millis
1270.3224329998193
usercpu_time_millis
1268.2209070007957
usercpu_time_millis
1219.1049729990482
usercpu_time_millis_testing
69.98219099841663
usercpu_time_millis_testing
70.28787799936254
usercpu_time_millis_testing
70.80342400149675
usercpu_time_millis_testing
71.80930299728061
usercpu_time_millis_testing
70.66227500035893
usercpu_time_millis_testing
70.30293999923742
usercpu_time_millis_testing
70.31923099930282
usercpu_time_millis_testing
70.53171399820712
usercpu_time_millis_testing
70.47189399963827
usercpu_time_millis_testing
65.81347799874493
usercpu_time_millis_training
1193.6472599991248
usercpu_time_millis_training
1196.5120189997833
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
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usercpu_time_millis_training
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usercpu_time_millis_training
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usercpu_time_millis_training
1153.2914950003033
wall_clock_time_millis
1263.6923789978027
wall_clock_time_millis
1267.0371532440186
wall_clock_time_millis
1275.7809162139893
wall_clock_time_millis
1292.707920074463
wall_clock_time_millis
1280.7130813598633
wall_clock_time_millis
1260.5552673339844
wall_clock_time_millis
1257.8046321868896
wall_clock_time_millis
1270.3745365142822
wall_clock_time_millis
1268.4681415557861
wall_clock_time_millis
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wall_clock_time_millis_testing
69.9923038482666
wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
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wall_clock_time_millis_testing
70.48153877258301
wall_clock_time_millis_testing
65.83547592163086
wall_clock_time_millis_training
1193.7000751495361
wall_clock_time_millis_training
1196.7384815216064
wall_clock_time_millis_training
1204.9643993377686
wall_clock_time_millis_training
1220.8898067474365
wall_clock_time_millis_training
1210.0365161895752
wall_clock_time_millis_training
1190.2446746826172
wall_clock_time_millis_training
1187.4754428863525
wall_clock_time_millis_training
1199.833869934082
wall_clock_time_millis_training
1197.9866027832031
wall_clock_time_millis_training
1153.3236503601074