574632
1
Jan van Rijn
14
Supervised Classification
2270
weka.Bagging_HyperPipes(1)
2909
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 10 -W weka.classifiers.misc.HyperPipes
P
100
2270
S
1
2270
num-slots
1
2270
I
10
2270
W
weka.classifiers.misc.HyperPipes
2270
weka
weka_3.7.13
14
mfeat-fourier
https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff
-1
1981374
description
https://api.openml.org/data/download/1981374/weka_generated_run3520273815630693204.xml
-1
1981376
model_readable
https://api.openml.org/data/download/1981376/WekaModel_weka.classifiers.meta.Bagging5117191596958923993.model
-1
1981375
model_serialized
https://api.openml.org/data/download/1981375/WekaSerialized_weka.classifiers.meta.Bagging3524402562897178346.model
-1
1981377
predictions
https://api.openml.org/data/download/1981377/weka_generated_predictions5760525970422767676.arff
area_under_roc_curve
0.903625 [0.998808,0.822439,0.978704,0.838382,0.830114,0.946882,0.848735,0.979954,0.970614,0.821614]
average_cost
0
f_measure
0.67606 [0.974359,0.568019,0.802292,0.636569,0.523901,0.800983,0.469974,0.682216,0.865922,0.436364]
kappa
0.631111
kb_relative_information_score
59.365474
mean_absolute_error
0.17858
mean_prior_absolute_error
0.18
number_of_instances
2000 [200,200,200,200,200,200,200,200,200,200]
os_information
[Oracle Corporation, 1.8.0_91, amd64, Linux, 3.10.0-327.13.1.el7.x86_64]
precision
0.701986 [1,0.543379,0.939597,0.580247,0.424149,0.78744,0.491803,0.818182,0.981013,0.454054]
predictive_accuracy
0.668
prior_entropy
3.321928
recall
0.668 [0.95,0.595,0.7,0.705,0.685,0.815,0.45,0.585,0.775,0.42]
relative_absolute_error
0.992113
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.297706
root_relative_squared_error
0.992354
scimark_benchmark
1438.881963 [816.5920912797799, 973.209590625, 515.4785657766312, 1233.6188235294117, 3655.5107436103276]
total_cost
0
usercpu_time_millis
100
usercpu_time_millis_testing
90
usercpu_time_millis_training
10
area_under_roc_curve
0.913611 [0.9975,0.820556,0.983611,0.846111,0.848611,0.975,0.816806,0.978333,0.980694,0.888889]
area_under_roc_curve
0.896194 [1,0.812917,0.969167,0.79,0.806111,0.931806,0.879444,0.978611,0.9675,0.826389]
area_under_roc_curve
0.901764 [0.993889,0.8375,0.98,0.82,0.808889,0.934028,0.884167,0.974167,0.989167,0.795833]
area_under_roc_curve
0.903764 [1,0.815,0.9925,0.861944,0.894167,0.953056,0.795833,0.981944,0.941111,0.802083]
area_under_roc_curve
0.910056 [0.999722,0.861667,0.9675,0.806944,0.815,0.970278,0.833889,0.99,0.985833,0.869722]
area_under_roc_curve
0.897722 [1,0.805278,0.987778,0.834306,0.846667,0.911944,0.841389,0.983333,0.988333,0.778194]
area_under_roc_curve
0.916764 [0.999722,0.882222,0.992778,0.925417,0.786111,0.903333,0.885278,0.985278,0.981111,0.826389]
area_under_roc_curve
0.908736 [1,0.789167,0.985278,0.868333,0.810556,0.975,0.887917,0.971944,0.989167,0.81]
area_under_roc_curve
0.908486 [0.997778,0.807222,0.993333,0.808611,0.850139,0.945833,0.875833,0.985278,0.998333,0.8225]
area_under_roc_curve
0.885722 [0.999167,0.803333,0.940278,0.819444,0.831944,0.970694,0.785139,0.981389,0.909722,0.816111]
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
0.72612 [0.974359,0.638298,0.787879,0.711111,0.615385,0.923077,0.578947,0.625,0.857143,0.55]
f_measure
0.667195 [1,0.526316,0.833333,0.590909,0.603774,0.717949,0.4,0.625,0.864865,0.509804]
f_measure
0.637676 [0.888889,0.526316,0.8,0.487805,0.551724,0.75,0.45,0.6875,0.926829,0.307692]
f_measure
0.661007 [0.974359,0.432432,0.871795,0.590909,0.561404,0.857143,0.487805,0.647059,0.823529,0.363636]
f_measure
0.613559 [0.974359,0.553191,0.6875,0.55814,0.42623,0.761905,0.411765,0.5625,0.857143,0.342857]
f_measure
0.670043 [1,0.536585,0.871795,0.619048,0.509804,0.829268,0.378378,0.666667,0.888889,0.4]
f_measure
0.698092 [0.974359,0.634146,0.787879,0.816327,0.56,0.8,0.511628,0.722222,0.974359,0.2]
f_measure
0.718901 [1,0.622222,0.833333,0.695652,0.52381,0.769231,0.666667,0.789474,0.709677,0.578947]
f_measure
0.677941 [0.974359,0.6,0.823529,0.622222,0.415094,0.8,0.45,0.742857,0.918919,0.432432]
f_measure
0.651723 [0.974359,0.577778,0.6875,0.636364,0.478261,0.8,0.285714,0.717949,0.787879,0.571429]
kappa
0.688889
kappa
0.627778
kappa
0.588889
kappa
0.622222
kappa
0.561111
kappa
0.627778
kappa
0.672222
kappa
0.683333
kappa
0.627778
kappa
0.611111
kb_relative_information_score
5.925617
kb_relative_information_score
6.008694
kb_relative_information_score
5.635072
kb_relative_information_score
6.09652
kb_relative_information_score
5.795135
kb_relative_information_score
5.843173
kb_relative_information_score
6.109566
kb_relative_information_score
5.973413
kb_relative_information_score
5.731058
kb_relative_information_score
6.247225
mean_absolute_error
0.178577
mean_absolute_error
0.178558
mean_absolute_error
0.178655
mean_absolute_error
0.178551
mean_absolute_error
0.178609
mean_absolute_error
0.178599
mean_absolute_error
0.178533
mean_absolute_error
0.178564
mean_absolute_error
0.178632
mean_absolute_error
0.178524
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
mean_prior_absolute_error
0.18
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
0.763737 [1,0.555556,1,0.64,0.5,0.947368,0.611111,0.833333,1,0.55]
precision
0.705028 [1,0.555556,0.9375,0.541667,0.484848,0.736842,0.6,0.833333,0.941176,0.419355]
precision
0.672335 [1,0.555556,0.933333,0.47619,0.421053,0.75,0.45,0.916667,0.904762,0.315789]
precision
0.688105 [1,0.470588,0.894737,0.541667,0.432432,0.818182,0.47619,0.785714,1,0.461538]
precision
0.661423 [1,0.481481,0.916667,0.521739,0.317073,0.727273,0.5,0.75,1,0.4]
precision
0.689625 [1,0.52381,0.894737,0.590909,0.419355,0.809524,0.411765,0.846154,1,0.4]
precision
0.716613 [1,0.619048,1,0.689655,0.466667,0.8,0.478261,0.8125,1,0.3]
precision
0.74468 [1,0.56,0.9375,0.615385,0.5,0.789474,0.6,0.833333,1,0.611111]
precision
0.708059 [1,0.6,1,0.56,0.333333,0.8,0.45,0.866667,1,0.470588]
precision
0.677871 [1,0.52,0.916667,0.583333,0.423077,0.72,0.333333,0.736842,1,0.545455]
predictive_accuracy
0.72
predictive_accuracy
0.665
predictive_accuracy
0.63
predictive_accuracy
0.66
predictive_accuracy
0.605
predictive_accuracy
0.665
predictive_accuracy
0.705
predictive_accuracy
0.715
predictive_accuracy
0.665
predictive_accuracy
0.65
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
prior_entropy
3.321928
recall
0.72 [0.95,0.75,0.65,0.8,0.8,0.9,0.55,0.5,0.75,0.55]
recall
0.665 [1,0.5,0.75,0.65,0.8,0.7,0.3,0.5,0.8,0.65]
recall
0.63 [0.8,0.5,0.7,0.5,0.8,0.75,0.45,0.55,0.95,0.3]
recall
0.66 [0.95,0.4,0.85,0.65,0.8,0.9,0.5,0.55,0.7,0.3]
recall
0.605 [0.95,0.65,0.55,0.6,0.65,0.8,0.35,0.45,0.75,0.3]
recall
0.665 [1,0.55,0.85,0.65,0.65,0.85,0.35,0.55,0.8,0.4]
recall
0.705 [0.95,0.65,0.65,1,0.7,0.8,0.55,0.65,0.95,0.15]
recall
0.715 [1,0.7,0.75,0.8,0.55,0.75,0.75,0.75,0.55,0.55]
recall
0.665 [0.95,0.6,0.7,0.7,0.55,0.8,0.45,0.65,0.85,0.4]
recall
0.65 [0.95,0.65,0.55,0.7,0.55,0.9,0.25,0.7,0.65,0.6]
relative_absolute_error
0.992093
relative_absolute_error
0.991987
relative_absolute_error
0.99253
relative_absolute_error
0.991949
relative_absolute_error
0.992275
relative_absolute_error
0.992216
relative_absolute_error
0.991849
relative_absolute_error
0.992023
relative_absolute_error
0.9924
relative_absolute_error
0.991803
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.297698
root_mean_squared_error
0.297672
root_mean_squared_error
0.297829
root_mean_squared_error
0.297664
root_mean_squared_error
0.29775
root_mean_squared_error
0.297737
root_mean_squared_error
0.297628
root_mean_squared_error
0.297676
root_mean_squared_error
0.297783
root_mean_squared_error
0.297623
root_relative_squared_error
0.992328
root_relative_squared_error
0.992242
root_relative_squared_error
0.992762
root_relative_squared_error
0.992215
root_relative_squared_error
0.992499
root_relative_squared_error
0.992455
root_relative_squared_error
0.992093
root_relative_squared_error
0.992253
root_relative_squared_error
0.992611
root_relative_squared_error
0.992078
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
100
usercpu_time_millis
50
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
30
usercpu_time_millis
20
usercpu_time_millis
40
usercpu_time_millis
30
usercpu_time_millis
30
usercpu_time_millis
30
usercpu_time_millis_testing
40
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
0
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_testing
10
usercpu_time_millis_training
60
usercpu_time_millis_training
40
usercpu_time_millis_training
30
usercpu_time_millis_training
20
usercpu_time_millis_training
20
usercpu_time_millis_training
20
usercpu_time_millis_training
30
usercpu_time_millis_training
20
usercpu_time_millis_training
20
usercpu_time_millis_training
20