319817
2
Joaquin Vanschoren
1776
Supervised Classification
predictive_accuracy
1079
weka.RandomForest(5)
1849
weka.classifiers.trees.RandomForest -- -I 100 -K 0 -S 1 -num-slots 1
I
100
1079
K
0
1079
S
1
1079
num-slots
1
1079
weka
weka_3.7.12
12
mfeat-factors
https://www.openml.org/data/download/12/dataset_12_mfeat-factors.arff
-1
1088394
description
https://www.openml.org/data/download/1088394/weka_generated_run7584506717951810162.xml
-1
1088397
model_readable
https://www.openml.org/data/download/1088397/WekaModel_weka.classifiers.trees.RandomForest90075827395165621.model
-1
1088396
model_serialized
https://www.openml.org/data/download/1088396/WekaSerialized_weka.classifiers.trees.RandomForest2322720373258933757.model
-1
1088395
predictions
https://www.openml.org/data/download/1088395/weka_generated_predictions1196229221153818755.arff
area_under_roc_curve
0.99773 [0.99836,0.999276,0.999308,0.994569,0.999604,0.992116,0.99877,0.999371,0.998628,0.997304]
average_cost
0
f_measure
0.960469 [0.974255,0.956522,0.971514,0.94047,0.965381,0.940874,0.972486,0.971457,0.958645,0.953086]
kappa
0.956111
kb_relative_information_score
8702.00944
mean_absolute_error
0.043465
mean_prior_absolute_error
0.18
number_of_instances
10000 [1000,1000,1000,1000,1000,1000,1000,1000,1000,1000]
os_information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
precision
0.960688 [0.98369,0.945312,0.971029,0.940941,0.95499,0.968254,0.972973,0.972919,0.955313,0.941463]
predictive_accuracy
0.9605
prior_entropy
3.321928
recall
0.9605 [0.965,0.968,0.972,0.94,0.976,0.915,0.972,0.97,0.962,0.965]
relative_absolute_error
0.24147
root_mean_prior_squared_error
0.3
root_mean_squared_error
0.108958
root_relative_squared_error
0.363192
scimark_benchmark
1326.894624 [791.0387808404206, 1000.4958509626932, 541.2004924557762, 1103.299696955527, 3198.4382982949937]
total_cost
0
usercpu_time_millis
1690
usercpu_time_millis_testing
80
usercpu_time_millis_training
1610
area_under_roc_curve
0.998004 [0.997917,0.999011,0.999867,0.995956,0.999994,0.990444,0.9994,0.999278,0.998922,0.999256]
area_under_roc_curve
0.997555 [0.998933,0.99965,0.999167,0.991522,0.999694,0.990372,0.999678,0.999978,0.999139,0.997417]
area_under_roc_curve
0.998573 [0.996956,0.9996,0.999633,0.997117,0.999778,0.996267,0.999233,0.999289,0.999289,0.998572]
area_under_roc_curve
0.998449 [0.997244,0.999406,0.999944,0.998044,0.999356,0.997528,0.997472,0.99945,0.997956,0.998094]
area_under_roc_curve
0.998224 [0.999072,0.999483,0.999361,0.997556,0.999267,0.994678,0.999506,0.999561,0.998233,0.995528]
area_under_roc_curve
0.997925 [0.998528,0.999439,0.998939,0.996378,0.999283,0.994928,0.997628,0.99965,0.999022,0.995456]
area_under_roc_curve
0.997456 [0.998394,0.999033,0.998661,0.9955,0.999989,0.9923,0.998672,0.998233,0.996483,0.997289]
area_under_roc_curve
0.996212 [0.998378,0.999672,0.999439,0.984822,0.999589,0.987733,0.998867,0.999894,0.9989,0.994828]
area_under_roc_curve
0.997703 [0.998994,0.999533,0.999317,0.993117,0.999978,0.987939,0.999722,0.999611,0.999678,0.999144]
area_under_roc_curve
0.997565 [0.999389,0.997833,0.999128,0.994844,0.999567,0.990572,0.997128,0.999728,0.999178,0.998283]
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
0.963992 [0.964467,0.96,0.99,0.930693,0.965517,0.948454,0.98,0.974874,0.960396,0.965517]
f_measure
0.96687 [0.979592,0.970297,0.98,0.92,0.98,0.9375,0.995025,0.970874,0.970588,0.964824]
f_measure
0.959927 [0.974619,0.955224,0.975369,0.933333,0.955665,0.965174,0.954315,0.96,0.965174,0.960396]
f_measure
0.962974 [0.958763,0.954774,0.975369,0.964824,0.965174,0.960396,0.980198,0.974874,0.940594,0.954774]
f_measure
0.957082 [0.974874,0.955224,0.974619,0.95098,0.940594,0.947368,0.965517,0.964467,0.954315,0.942857]
f_measure
0.963917 [0.984925,0.965174,0.959596,0.944724,0.975124,0.938144,0.975124,0.985075,0.960784,0.950495]
f_measure
0.954048 [0.97,0.937198,0.96,0.94359,0.980392,0.944724,0.979798,0.948454,0.949495,0.926829]
f_measure
0.954853 [0.974874,0.951923,0.964824,0.934673,0.949495,0.90625,0.960784,0.989899,0.964824,0.95098]
f_measure
0.964663 [0.985075,0.980198,0.979798,0.932039,0.985222,0.908108,0.979798,0.975124,0.965174,0.956098]
f_measure
0.95601 [0.974874,0.935961,0.955665,0.95,0.956522,0.94898,0.953846,0.970297,0.954774,0.959184]
kappa
0.96
kappa
0.963333
kappa
0.955556
kappa
0.958889
kappa
0.952222
kappa
0.96
kappa
0.948889
kappa
0.95
kappa
0.961111
kappa
0.951111
kb_relative_information_score
867.404307
kb_relative_information_score
872.650939
kb_relative_information_score
876.520324
kb_relative_information_score
868.593413
kb_relative_information_score
872.807504
kb_relative_information_score
873.31838
kb_relative_information_score
866.445025
kb_relative_information_score
863.36485
kb_relative_information_score
876.221277
kb_relative_information_score
864.68342
mean_absolute_error
0.044664
mean_absolute_error
0.043082
mean_absolute_error
0.04181
mean_absolute_error
0.044008
mean_absolute_error
0.042534
mean_absolute_error
0.042424
mean_absolute_error
0.044046
mean_absolute_error
0.045386
mean_absolute_error
0.042088
mean_absolute_error
0.044604
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
0.964336 [0.979381,0.96,0.99,0.921569,0.951456,0.978723,0.98,0.979798,0.95098,0.951456]
precision
0.967416 [1,0.960784,0.98,0.92,0.98,0.978261,0.990099,0.943396,0.951923,0.969697]
precision
0.960184 [0.989691,0.950495,0.961165,0.957895,0.941748,0.960396,0.969072,0.96,0.960396,0.95098]
precision
0.963255 [0.989362,0.959596,0.961165,0.969697,0.960396,0.95098,0.970588,0.979798,0.931373,0.959596]
precision
0.958396 [0.979798,0.950495,0.989691,0.932692,0.931373,1,0.951456,0.979381,0.969072,0.9]
precision
0.964154 [0.989899,0.960396,0.969388,0.949495,0.970297,0.968085,0.970297,0.980198,0.942308,0.941176]
precision
0.954846 [0.97,0.906542,0.96,0.968421,0.961538,0.949495,0.989796,0.978723,0.959184,0.904762]
precision
0.955509 [0.979798,0.916667,0.969697,0.939394,0.959184,0.945652,0.942308,1,0.969697,0.932692]
precision
0.965917 [0.980198,0.970588,0.989796,0.90566,0.970874,0.988235,0.989796,0.970297,0.960396,0.933333]
precision
0.956635 [0.979798,0.92233,0.941748,0.95,0.925234,0.96875,0.978947,0.960784,0.959596,0.979167]
predictive_accuracy
0.964
predictive_accuracy
0.967
predictive_accuracy
0.96
predictive_accuracy
0.963
predictive_accuracy
0.957
predictive_accuracy
0.964
predictive_accuracy
0.954
predictive_accuracy
0.955
predictive_accuracy
0.965
predictive_accuracy
0.956
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
0.964 [0.95,0.96,0.99,0.94,0.98,0.92,0.98,0.97,0.97,0.98]
recall
0.967 [0.96,0.98,0.98,0.92,0.98,0.9,1,1,0.99,0.96]
recall
0.96 [0.96,0.96,0.99,0.91,0.97,0.97,0.94,0.96,0.97,0.97]
recall
0.963 [0.93,0.95,0.99,0.96,0.97,0.97,0.99,0.97,0.95,0.95]
recall
0.957 [0.97,0.96,0.96,0.97,0.95,0.9,0.98,0.95,0.94,0.99]
recall
0.964 [0.98,0.97,0.95,0.94,0.98,0.91,0.98,0.99,0.98,0.96]
recall
0.954 [0.97,0.97,0.96,0.92,1,0.94,0.97,0.92,0.94,0.95]
recall
0.955 [0.97,0.99,0.96,0.93,0.94,0.87,0.98,0.98,0.96,0.97]
recall
0.965 [0.99,0.99,0.97,0.96,1,0.84,0.97,0.98,0.97,0.98]
recall
0.956 [0.97,0.95,0.97,0.95,0.99,0.93,0.93,0.98,0.95,0.94]
relative_absolute_error
0.248133
relative_absolute_error
0.239344
relative_absolute_error
0.232278
relative_absolute_error
0.244489
relative_absolute_error
0.2363
relative_absolute_error
0.235689
relative_absolute_error
0.2447
relative_absolute_error
0.252144
relative_absolute_error
0.233822
relative_absolute_error
0.2478
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
0.10987
root_mean_squared_error
0.10772
root_mean_squared_error
0.105726
root_mean_squared_error
0.109119
root_mean_squared_error
0.10779
root_mean_squared_error
0.107809
root_mean_squared_error
0.111019
root_mean_squared_error
0.112638
root_mean_squared_error
0.10579
root_mean_squared_error
0.111856
root_relative_squared_error
0.366235
root_relative_squared_error
0.359068
root_relative_squared_error
0.352421
root_relative_squared_error
0.36373
root_relative_squared_error
0.359301
root_relative_squared_error
0.359362
root_relative_squared_error
0.370062
root_relative_squared_error
0.375459
root_relative_squared_error
0.352634
root_relative_squared_error
0.372853
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
760
usercpu_time_millis
780
usercpu_time_millis
800
usercpu_time_millis
790
usercpu_time_millis
810
usercpu_time_millis
770
usercpu_time_millis
790
usercpu_time_millis
770
usercpu_time_millis
780
usercpu_time_millis
790
usercpu_time_millis_testing
40
usercpu_time_millis_testing
30
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
40
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
30
usercpu_time_millis_testing
40
usercpu_time_millis_training
720
usercpu_time_millis_training
750
usercpu_time_millis_training
760
usercpu_time_millis_training
750
usercpu_time_millis_training
770
usercpu_time_millis_training
740
usercpu_time_millis_training
760
usercpu_time_millis_training
740
usercpu_time_millis_training
750
usercpu_time_millis_training
750