394273
2
Joaquin Vanschoren
1776
Supervised Classification
predictive_accuracy
1165
weka.A1DE(4)
1918
weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE -- -F 1 -M 1.0
F
1
1165
M
1.0
1165
weka
weka_3.7.12
12
mfeat-factors
https://www.openml.org/data/download/12/dataset_12_mfeat-factors.arff
-1
1378046
description
https://api.openml.org/data/download/1378046/weka_generated_run8971029773120778133.xml
-1
1378049
model_readable
https://api.openml.org/data/download/1378049/WekaModel_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE1430646157402178234.model
-1
1378048
model_serialized
https://api.openml.org/data/download/1378048/WekaSerialized_weka.classifiers.bayes.AveragedNDependenceEstimators.A1DE306507834970425749.model
-1
1378047
predictions
https://api.openml.org/data/download/1378047/weka_generated_predictions8811450734550531785.arff
area_under_roc_curve
0.986718 [0.985668,0.989243,0.987827,0.979271,0.996755,0.977996,0.988354,0.992193,0.984538,0.985332]
average_cost
0
f_measure
0.962089 [0.975439,0.961596,0.976861,0.942414,0.977667,0.946193,0.973434,0.9615,0.958835,0.946951]
kappa
0.957889
kb_relative_information_score
9609.237331
mean_absolute_error
0.007631
mean_prior_absolute_error
0.18
number_of_instances
10000 [1000,1000,1000,1000,1000,1000,1000,1000,1000,1000]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.962192 [0.977889,0.959204,0.982794,0.943831,0.970443,0.960825,0.975879,0.949318,0.962702,0.939036]
predictive_accuracy
0.9621
prior_entropy
3.321928
recall
0.9621 [0.973,0.964,0.971,0.941,0.985,0.932,0.971,0.974,0.955,0.955]
relative_absolute_error
0.042397
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.08561
root_relative_squared_error
0.285366
scimark_benchmark
922.503645 [531.2947438481441, 1009.6699252256896, 480.6364546036713, 901.1481856960322, 1689.768918062378]
total_cost
0
usercpu_time_millis
7090
usercpu_time_millis_testing
6090
usercpu_time_millis_training
1000
area_under_roc_curve
0.989045 [0.988789,0.993094,0.9944,0.988278,0.994411,0.979767,0.989322,0.994956,0.978756,0.988678]
area_under_roc_curve
0.990021 [0.989922,0.989228,0.984372,0.98295,0.999933,0.969,0.999417,0.998217,0.9987,0.988467]
area_under_roc_curve
0.985651 [0.989378,0.988844,0.994967,0.962956,0.9982,0.987422,0.989878,0.973578,0.984311,0.986972]
area_under_roc_curve
0.986127 [0.963461,0.989828,0.988261,0.9837,0.994411,0.992944,0.989922,0.993244,0.981133,0.984361]
area_under_roc_curve
0.989012 [0.989911,0.978767,0.989383,0.988489,0.994867,0.979533,0.9933,0.994806,0.988678,0.992383]
area_under_roc_curve
0.989004 [0.984356,0.99425,0.979322,0.984661,0.994983,0.984067,0.989411,0.998033,0.993006,0.987956]
area_under_roc_curve
0.983621 [0.988822,0.9781,0.984378,0.978744,0.998889,0.989228,0.989372,0.974689,0.974322,0.979661]
area_under_roc_curve
0.98453 [0.983233,0.998556,0.989406,0.958644,0.999328,0.967378,0.9894,0.998294,0.978044,0.983017]
area_under_roc_curve
0.987381 [0.994411,0.988161,0.984422,0.986828,0.999967,0.953617,0.98935,0.999344,0.984806,0.992906]
area_under_roc_curve
0.982878 [0.984361,0.993583,0.989383,0.977344,0.992689,0.977267,0.964344,0.997039,0.9837,0.969067]
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
0.964971 [0.98,0.96,0.985075,0.926108,0.980198,0.953368,0.965517,0.980198,0.964467,0.954774]
f_measure
0.968972 [0.989899,0.959596,0.974619,0.950495,0.990099,0.947917,0.995025,0.952381,0.980198,0.949495]
f_measure
0.960016 [0.98,0.974874,0.99,0.919192,0.965174,0.950495,0.964824,0.944724,0.969697,0.941176]
f_measure
0.963982 [0.944162,0.959596,0.970297,0.97,0.984925,0.960396,0.984925,0.965517,0.93,0.97]
f_measure
0.960112 [0.984925,0.954774,0.969697,0.940594,0.974619,0.944162,0.965854,0.969697,0.959596,0.937198]
f_measure
0.966037 [0.979798,0.965854,0.964103,0.954315,0.994975,0.944724,0.984925,0.955665,0.965517,0.950495]
f_measure
0.959094 [0.975124,0.955224,0.97,0.954774,0.966184,0.964467,0.969388,0.94898,0.964467,0.92233]
f_measure
0.960854 [0.965174,0.965517,0.984925,0.938144,0.98,0.93401,0.975124,0.970588,0.939394,0.955665]
f_measure
0.959787 [0.980198,0.96,0.979798,0.935961,0.985222,0.914894,0.974619,0.975369,0.955224,0.936585]
f_measure
0.957039 [0.974874,0.960396,0.979798,0.934673,0.956098,0.945813,0.953846,0.951923,0.959596,0.953368]
kappa
0.961111
kappa
0.965556
kappa
0.955556
kappa
0.96
kappa
0.955556
kappa
0.962222
kappa
0.954444
kappa
0.956667
kappa
0.955556
kappa
0.952222
kb_relative_information_score
964.195519
kb_relative_information_score
967.575736
kb_relative_information_score
958.739705
kb_relative_information_score
963.477923
kb_relative_information_score
959.864708
kb_relative_information_score
963.643441
kb_relative_information_score
957.525187
kb_relative_information_score
960.020236
kb_relative_information_score
958.825248
kb_relative_information_score
955.369628
mean_absolute_error
0.006949
mean_absolute_error
0.006428
mean_absolute_error
0.007958
mean_absolute_error
0.007248
mean_absolute_error
0.007909
mean_absolute_error
0.007083
mean_absolute_error
0.008244
mean_absolute_error
0.007818
mean_absolute_error
0.008074
mean_absolute_error
0.008604
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
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
number_of_instances
1000 [100,100,100,100,100,100,100,100,100,100]
precision
0.965368 [0.98,0.96,0.980198,0.912621,0.970588,0.989247,0.951456,0.970588,0.979381,0.959596]
precision
0.969874 [1,0.969388,0.989691,0.941176,0.980392,0.98913,0.990099,0.909091,0.970588,0.959184]
precision
0.96018 [0.98,0.979798,0.99,0.928571,0.960396,0.941176,0.969697,0.949495,0.979592,0.923077]
precision
0.964117 [0.958763,0.969388,0.960784,0.97,0.989899,0.95098,0.989899,0.951456,0.93,0.97]
precision
0.960729 [0.989899,0.959596,0.979592,0.931373,0.989691,0.958763,0.942857,0.979592,0.969388,0.906542]
precision
0.966497 [0.989796,0.942857,0.989474,0.969072,1,0.949495,0.989899,0.941748,0.951456,0.941176]
precision
0.959829 [0.970297,0.950495,0.97,0.959596,0.934579,0.979381,0.989583,0.96875,0.979381,0.896226]
precision
0.961124 [0.960396,0.951456,0.989899,0.968085,0.98,0.948454,0.970297,0.951923,0.94898,0.941748]
precision
0.96065 [0.970588,0.96,0.989796,0.92233,0.970874,0.977273,0.989691,0.961165,0.950495,0.914286]
precision
0.957959 [0.979798,0.95098,0.989796,0.939394,0.933333,0.932039,0.978947,0.916667,0.969388,0.989247]
predictive_accuracy
0.965
predictive_accuracy
0.969
predictive_accuracy
0.96
predictive_accuracy
0.964
predictive_accuracy
0.96
predictive_accuracy
0.966
predictive_accuracy
0.959
predictive_accuracy
0.961
predictive_accuracy
0.96
predictive_accuracy
0.957
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
0.965 [0.98,0.96,0.99,0.94,0.99,0.92,0.98,0.99,0.95,0.95]
recall
0.969 [0.98,0.95,0.96,0.96,1,0.91,1,1,0.99,0.94]
recall
0.96 [0.98,0.97,0.99,0.91,0.97,0.96,0.96,0.94,0.96,0.96]
recall
0.964 [0.93,0.95,0.98,0.97,0.98,0.97,0.98,0.98,0.93,0.97]
recall
0.96 [0.98,0.95,0.96,0.95,0.96,0.93,0.99,0.96,0.95,0.97]
recall
0.966 [0.97,0.99,0.94,0.94,0.99,0.94,0.98,0.97,0.98,0.96]
recall
0.959 [0.98,0.96,0.97,0.95,1,0.95,0.95,0.93,0.95,0.95]
recall
0.961 [0.97,0.98,0.98,0.91,0.98,0.92,0.98,0.99,0.93,0.97]
recall
0.96 [0.99,0.96,0.97,0.95,1,0.86,0.96,0.99,0.96,0.96]
recall
0.957 [0.97,0.97,0.97,0.93,0.98,0.96,0.93,0.99,0.95,0.92]
relative_absolute_error
0.038604
relative_absolute_error
0.035713
relative_absolute_error
0.044209
relative_absolute_error
0.040265
relative_absolute_error
0.043937
relative_absolute_error
0.039352
relative_absolute_error
0.045799
relative_absolute_error
0.043435
relative_absolute_error
0.044855
relative_absolute_error
0.047801
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
0.081389
root_mean_squared_error
0.077765
root_mean_squared_error
0.088308
root_mean_squared_error
0.08279
root_mean_squared_error
0.086858
root_mean_squared_error
0.082385
root_mean_squared_error
0.08943
root_mean_squared_error
0.086829
root_mean_squared_error
0.087531
root_mean_squared_error
0.091848
root_relative_squared_error
0.271298
root_relative_squared_error
0.259216
root_relative_squared_error
0.294361
root_relative_squared_error
0.275966
root_relative_squared_error
0.289527
root_relative_squared_error
0.274618
root_relative_squared_error
0.2981
root_relative_squared_error
0.28943
root_relative_squared_error
0.291769
root_relative_squared_error
0.306161
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
2860
usercpu_time_millis
3160
usercpu_time_millis
3380
usercpu_time_millis
3650
usercpu_time_millis
2860
usercpu_time_millis
3420
usercpu_time_millis
3290
usercpu_time_millis
3270
usercpu_time_millis
2970
usercpu_time_millis
3470
usercpu_time_millis_testing
2410
usercpu_time_millis_testing
2700
usercpu_time_millis_testing
2850
usercpu_time_millis_testing
3140
usercpu_time_millis_testing
2420
usercpu_time_millis_testing
2940
usercpu_time_millis_testing
2850
usercpu_time_millis_testing
2790
usercpu_time_millis_testing
2530
usercpu_time_millis_testing
3000
usercpu_time_millis_training
450
usercpu_time_millis_training
460
usercpu_time_millis_training
530
usercpu_time_millis_training
510
usercpu_time_millis_training
440
usercpu_time_millis_training
480
usercpu_time_millis_training
440
usercpu_time_millis_training
480
usercpu_time_millis_training
440
usercpu_time_millis_training
470