1810068
1
Jan van Rijn
3481
Supervised Classification
2258
weka.FURIA(2)
2894
weka.classifiers.rules.FURIA -- -F 3 -N 2.0 -O 2 -S 1 -p 0 -s 0
F
3
2258
N
2.0
2258
O
2
2258
S
1
2258
s
0
2258
p
0
2258
weka
weka_3.7.13
300
isolet
https://www.openml.org/data/download/52405/phpB0xrNj
-1
4533629
description
https://api.openml.org/data/download/4533629/weka_generated_run8929276297896434792.xml
-1
4533632
model_readable
https://api.openml.org/data/download/4533632/WekaModel_weka.classifiers.rules.FURIA476358505430968207.model
-1
4533631
model_serialized
https://api.openml.org/data/download/4533631/WekaSerialized_weka.classifiers.rules.FURIA9110461215035448291.model
-1
4533630
predictions
https://api.openml.org/data/download/4533630/weka_generated_predictions5536353213814625241.arff
area_under_roc_curve
0.969673 [0.983245,0.949386,0.997976,0.95621,0.934545,0.967431,0.95601,0.989276,0.98594,0.9676,0.963762,0.988837,0.947239,0.954881,0.987222,0.942198,0.982961,0.989463,0.977319,0.950557,0.97249,0.945929,0.976614,0.984368,0.982623,0.977313]
average_cost
0
f_measure
0.881969 [0.8896,0.777219,0.9701,0.816856,0.762542,0.913997,0.842105,0.961474,0.940199,0.864516,0.866779,0.933555,0.833052,0.811847,0.933993,0.794118,0.912752,0.939044,0.946844,0.834171,0.891847,0.786667,0.910995,0.948074,0.947899,0.90099]
kappa
0.877286
kb_relative_information_score
6873.116974
mean_absolute_error
0.013513
mean_prior_absolute_error
0.073964
number_of_instances
7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300]
precision
0.882547 [0.855385,0.781145,0.966887,0.794953,0.765101,0.918644,0.858131,0.96633,0.937086,0.8375,0.877133,0.930464,0.840136,0.850365,0.924837,0.778846,0.918919,0.928339,0.943709,0.838384,0.890365,0.786667,0.956044,0.952862,0.955932,0.892157]
predictive_accuracy
0.882006
prior_entropy
4.700438
recall
0.882006 [0.926667,0.773333,0.973333,0.84,0.76,0.909396,0.826667,0.956667,0.943333,0.893333,0.856667,0.936667,0.826087,0.776667,0.943333,0.81,0.906667,0.95,0.95,0.83,0.893333,0.786667,0.87,0.943333,0.94,0.91]
relative_absolute_error
0.182702
root_mean_prior_squared_error
0.192308
root_mean_squared_error
0.089511
root_relative_squared_error
0.465457
total_cost
0
area_under_roc_curve
0.971699 [0.996689,0.9554,0.998044,0.962533,0.975044,0.981511,0.962733,0.965289,0.966311,0.996467,0.962222,0.998533,0.9614,0.9434,0.998489,0.937956,0.980644,0.999644,0.997356,0.959178,0.963244,0.941667,0.964889,0.932622,0.981333,0.981578]
area_under_roc_curve
0.971789 [0.963556,0.907133,1,0.997667,0.974244,0.998489,0.961533,0.965867,0.982467,0.979378,0.962178,0.982156,0.943111,0.996733,0.948911,0.922378,0.981644,0.982956,0.983244,0.961689,0.946644,0.959844,0.999511,1,1,0.965178]
area_under_roc_curve
0.96457 [0.996756,0.954044,0.982422,0.899644,0.904289,0.947067,0.940956,0.982222,0.9652,0.979267,0.9448,0.982622,0.980911,0.958933,0.999956,0.971178,0.982089,0.965733,0.999644,0.889867,0.999689,0.977889,0.980644,0.966089,0.9826,0.944311]
area_under_roc_curve
0.967394 [0.961289,0.942978,0.999778,0.958178,0.971889,0.9974,0.956622,0.980867,0.998244,0.942378,0.961333,0.980422,0.961556,0.926822,0.964711,0.940467,0.981956,0.999533,0.966578,0.941822,0.982111,0.923689,0.965333,0.982467,0.965867,0.997956]
area_under_roc_curve
0.964123 [0.9972,0.957822,0.999867,0.979644,0.917778,0.963733,0.963533,0.999911,0.983089,0.929244,0.962022,0.981533,0.891644,0.951156,0.982622,0.959822,0.9996,0.999267,0.948733,0.961822,0.962867,0.883111,0.946467,1,0.982644,0.962067]
area_under_roc_curve
0.964798 [0.996711,0.989822,1,0.869667,0.922889,0.9808,0.961489,0.999778,0.9992,0.963444,0.991378,0.9982,0.942778,0.944044,0.9818,0.853067,0.981689,0.966178,0.982178,0.9786,0.982111,0.907,0.982,0.966044,0.965111,0.978778]
area_under_roc_curve
0.968534 [0.962667,0.943422,0.999911,0.977511,0.8924,0.947489,0.944889,0.999644,0.983,0.947133,0.979689,0.999644,0.958533,0.943844,0.997467,0.942756,0.998978,0.999044,0.948978,0.979533,0.946756,0.942844,0.999911,0.9984,0.983044,0.9644]
area_under_roc_curve
0.980212 [0.979395,0.940165,1,0.963129,0.937072,0.998465,0.942345,0.999911,1,0.99773,0.981753,0.982888,0.998207,0.944192,0.998353,0.996284,0.980886,0.983133,0.983066,0.927859,0.980263,0.973543,0.99911,1,0.999644,0.998732]
area_under_roc_curve
0.967064 [0.998843,0.960837,0.999822,0.956475,0.942768,0.891632,0.959546,1,0.983089,0.96057,0.94555,0.982911,0.92648,0.960236,1,0.922074,0.962461,0.999688,0.980863,0.924388,0.980018,0.960659,0.963173,0.998264,0.982532,0.998264]
area_under_roc_curve
0.976509 [0.980151,0.944704,0.999955,0.99615,0.907098,0.964874,0.965154,1,0.999199,0.979484,0.944949,0.998709,0.907543,0.977548,0.999822,0.977281,0.979706,0.999911,0.982421,0.980975,0.981931,0.992568,0.964575,1,0.982911,0.981219]
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
0.87044 [0.885246,0.679245,0.920635,0.861538,0.78125,0.966667,0.857143,0.931034,0.931034,0.861538,0.857143,0.9,0.9,0.813559,0.90625,0.807018,0.918033,0.920635,0.952381,0.785714,0.9,0.787879,0.784314,0.892857,0.918033,0.912281]
f_measure
0.896554 [0.888889,0.774194,0.983607,0.920635,0.78125,0.967742,0.885246,0.931034,0.931034,0.857143,0.866667,0.931034,0.8125,0.862069,0.915254,0.733333,0.931034,0.949153,0.983051,0.877193,0.877193,0.785714,0.983051,0.967742,0.983607,0.931034]
f_measure
0.86621 [0.865672,0.709677,0.95082,0.701754,0.745763,0.833333,0.806452,0.935484,0.918033,0.870968,0.872727,0.966667,0.912281,0.77193,0.983607,0.741935,0.885246,0.9,0.933333,0.763636,0.935484,0.848485,0.915254,0.931034,0.949153,0.872727]
f_measure
0.879591 [0.825397,0.793103,0.983051,0.766667,0.769231,0.923077,0.779661,0.915254,0.933333,0.827586,0.862069,0.918033,0.9,0.892857,0.918033,0.766667,0.915254,0.966667,0.965517,0.786885,0.903226,0.8,0.949153,0.95082,0.965517,0.892308]
f_measure
0.873709 [0.892308,0.813559,0.965517,0.835821,0.701754,0.877193,0.9,0.965517,0.933333,0.896552,0.877193,0.933333,0.714286,0.677966,0.935484,0.852459,0.95082,0.952381,0.9,0.903226,0.881356,0.721311,0.888889,0.935484,0.949153,0.861538]
f_measure
0.88418 [0.866667,0.794118,0.983051,0.758621,0.807018,0.933333,0.862069,0.983607,0.952381,0.870968,0.825397,0.903226,0.807018,0.793103,0.949153,0.763636,0.949153,0.933333,0.935484,0.875,0.95082,0.827586,0.949153,0.928571,0.915254,0.870968]
f_measure
0.886027 [0.915254,0.769231,0.966667,0.806452,0.740741,0.931034,0.877193,0.983051,0.935484,0.862069,0.857143,0.966667,0.793103,0.827586,0.896552,0.786885,0.933333,0.935484,0.931034,0.861538,0.881356,0.793651,0.965517,0.95082,0.95082,0.918033]
f_measure
0.890231 [0.90625,0.766667,1,0.877193,0.721311,0.931034,0.77193,0.983607,0.967742,0.888889,0.920635,0.95082,0.857143,0.830189,0.918033,0.852941,0.877193,0.928571,0.966667,0.793103,0.847458,0.77193,0.931034,0.965517,0.966667,0.952381]
f_measure
0.881416 [0.952381,0.857143,0.966667,0.761905,0.807018,0.807018,0.813559,0.983607,0.931034,0.830769,0.881356,0.966667,0.827586,0.847458,1,0.787879,0.896552,0.935484,0.935484,0.763636,0.862069,0.779661,0.9,0.967742,0.931034,0.920635]
f_measure
0.887566 [0.9,0.814815,0.983607,0.861538,0.766667,0.964286,0.867925,1,0.966667,0.878788,0.847458,0.9,0.8,0.807018,0.918033,0.83871,0.870968,0.967742,0.966667,0.90625,0.875,0.745763,0.821429,0.983607,0.949153,0.877193]
kappa
0.866667
kappa
0.892
kappa
0.861333
kappa
0.874667
kappa
0.869333
kappa
0.88
kappa
0.881333
kappa
0.886522
kappa
0.877175
kappa
0.883851
kb_relative_information_score
683.924087
kb_relative_information_score
698.033652
kb_relative_information_score
674.528737
kb_relative_information_score
682.046916
kb_relative_information_score
678.174903
kb_relative_information_score
681.752274
kb_relative_information_score
692.466683
kb_relative_information_score
698.55622
kb_relative_information_score
684.150058
kb_relative_information_score
699.483446
mean_absolute_error
0.014399
mean_absolute_error
0.012044
mean_absolute_error
0.014849
mean_absolute_error
0.014519
mean_absolute_error
0.014427
mean_absolute_error
0.014265
mean_absolute_error
0.012335
mean_absolute_error
0.012724
mean_absolute_error
0.013686
mean_absolute_error
0.011884
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
mean_prior_absolute_error
0.073964
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
number_of_instances
779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30]
precision
0.876005 [0.870968,0.782609,0.878788,0.8,0.735294,0.966667,0.818182,0.964286,0.964286,0.8,0.923077,0.9,0.9,0.827586,0.852941,0.851852,0.903226,0.878788,0.909091,0.846154,0.9,0.722222,0.952381,0.961538,0.903226,0.962963]
precision
0.899452 [0.848485,0.75,0.967742,0.878788,0.735294,0.9375,0.870968,0.964286,0.964286,0.818182,0.866667,0.964286,0.764706,0.892857,0.931034,0.733333,0.964286,0.965517,1,0.925926,0.925926,0.846154,1,0.9375,0.967742,0.964286]
precision
0.869771 [0.783784,0.6875,0.935484,0.740741,0.758621,0.833333,0.78125,0.90625,0.903226,0.84375,0.96,0.966667,0.962963,0.814815,0.967742,0.71875,0.870968,0.9,0.933333,0.84,0.90625,0.777778,0.931034,0.964286,0.965517,0.96]
precision
0.882538 [0.787879,0.821429,1,0.766667,0.714286,0.857143,0.793103,0.931034,0.933333,0.857143,0.892857,0.903226,0.9,0.961538,0.903226,0.766667,0.931034,0.966667,1,0.774194,0.875,0.88,0.965517,0.935484,1,0.828571]
precision
0.877006 [0.828571,0.827586,1,0.756757,0.740741,0.925926,0.9,1,0.933333,0.928571,0.925926,0.933333,0.769231,0.689655,0.90625,0.83871,0.935484,0.909091,0.9,0.875,0.896552,0.709677,1,0.90625,0.965517,0.8]
precision
0.887106 [0.866667,0.710526,1,0.785714,0.851852,0.933333,0.892857,0.967742,0.909091,0.84375,0.787879,0.875,0.851852,0.821429,0.965517,0.84,0.965517,0.933333,0.90625,0.823529,0.935484,0.857143,0.965517,1,0.931034,0.84375]
precision
0.88901 [0.931034,0.714286,0.966667,0.78125,0.833333,0.964286,0.925926,1,0.90625,0.892857,0.818182,0.966667,0.821429,0.857143,0.928571,0.774194,0.933333,0.90625,0.964286,0.8,0.896552,0.757576,1,0.935484,0.935484,0.903226]
precision
0.89437 [0.852941,0.766667,1,0.925926,0.709677,0.964286,0.814815,0.967742,0.9375,0.848485,0.878788,0.935484,0.794118,0.956522,0.903226,0.763158,0.925926,1,0.966667,0.821429,0.862069,0.814815,0.964286,1,0.966667,0.909091]
precision
0.88403 [0.909091,0.923077,0.966667,0.727273,0.851852,0.821429,0.827586,0.967742,0.964286,0.771429,0.896552,0.966667,0.857143,0.862069,1,0.722222,0.928571,0.90625,0.90625,0.84,0.892857,0.793103,0.9,0.9375,0.964286,0.878788]
precision
0.89139 [0.9,0.916667,0.967742,0.8,0.766667,1,1,1,0.966667,0.805556,0.862069,0.9,0.8,0.851852,0.903226,0.8125,0.84375,0.9375,0.966667,0.852941,0.823529,0.758621,0.884615,0.967742,0.965517,0.925926]
predictive_accuracy
0.871795
predictive_accuracy
0.896154
predictive_accuracy
0.866667
predictive_accuracy
0.879487
predictive_accuracy
0.874359
predictive_accuracy
0.884615
predictive_accuracy
0.885897
predictive_accuracy
0.890886
predictive_accuracy
0.8819
predictive_accuracy
0.888318
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
prior_entropy
4.700438
recall
0.871795 [0.9,0.6,0.966667,0.933333,0.833333,0.966667,0.9,0.9,0.9,0.933333,0.8,0.9,0.9,0.8,0.966667,0.766667,0.933333,0.966667,1,0.733333,0.9,0.866667,0.666667,0.833333,0.933333,0.866667]
recall
0.896154 [0.933333,0.8,1,0.966667,0.833333,1,0.9,0.9,0.9,0.9,0.866667,0.9,0.866667,0.833333,0.9,0.733333,0.9,0.933333,0.966667,0.833333,0.833333,0.733333,0.966667,1,1,0.9]
recall
0.866667 [0.966667,0.733333,0.966667,0.666667,0.733333,0.833333,0.833333,0.966667,0.933333,0.9,0.8,0.966667,0.866667,0.733333,1,0.766667,0.9,0.9,0.933333,0.7,0.966667,0.933333,0.9,0.9,0.933333,0.8]
recall
0.879487 [0.866667,0.766667,0.966667,0.766667,0.833333,1,0.766667,0.9,0.933333,0.8,0.833333,0.933333,0.9,0.833333,0.933333,0.766667,0.9,0.966667,0.933333,0.8,0.933333,0.733333,0.933333,0.966667,0.933333,0.966667]
recall
0.874359 [0.966667,0.8,0.933333,0.933333,0.666667,0.833333,0.9,0.933333,0.933333,0.866667,0.833333,0.933333,0.666667,0.666667,0.966667,0.866667,0.966667,1,0.9,0.933333,0.866667,0.733333,0.8,0.966667,0.933333,0.933333]
recall
0.884615 [0.866667,0.9,0.966667,0.733333,0.766667,0.933333,0.833333,1,1,0.9,0.866667,0.933333,0.766667,0.766667,0.933333,0.7,0.933333,0.933333,0.966667,0.933333,0.966667,0.8,0.933333,0.866667,0.9,0.9]
recall
0.885897 [0.9,0.833333,0.966667,0.833333,0.666667,0.9,0.833333,0.966667,0.966667,0.833333,0.9,0.966667,0.766667,0.8,0.866667,0.8,0.933333,0.966667,0.9,0.933333,0.866667,0.833333,0.933333,0.966667,0.966667,0.933333]
recall
0.890886 [0.966667,0.766667,1,0.833333,0.733333,0.9,0.733333,1,1,0.933333,0.966667,0.966667,0.931034,0.733333,0.933333,0.966667,0.833333,0.866667,0.966667,0.766667,0.833333,0.733333,0.9,0.933333,0.966667,1]
recall
0.8819 [1,0.8,0.966667,0.8,0.766667,0.793103,0.8,1,0.9,0.9,0.866667,0.966667,0.8,0.833333,1,0.866667,0.866667,0.966667,0.966667,0.7,0.833333,0.766667,0.9,1,0.9,0.966667]
recall
0.888318 [0.9,0.733333,1,0.933333,0.766667,0.931034,0.766667,1,0.966667,0.966667,0.833333,0.9,0.8,0.766667,0.933333,0.866667,0.9,1,0.966667,0.966667,0.933333,0.733333,0.766667,1,0.933333,0.833333]
relative_absolute_error
0.194676
relative_absolute_error
0.162828
relative_absolute_error
0.200764
relative_absolute_error
0.196301
relative_absolute_error
0.195049
relative_absolute_error
0.192858
relative_absolute_error
0.166768
relative_absolute_error
0.172029
relative_absolute_error
0.185037
relative_absolute_error
0.160674
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_prior_squared_error
0.192308
root_mean_squared_error
0.091538
root_mean_squared_error
0.084618
root_mean_squared_error
0.094084
root_mean_squared_error
0.092766
root_mean_squared_error
0.093029
root_mean_squared_error
0.092766
root_mean_squared_error
0.087434
root_mean_squared_error
0.084385
root_mean_squared_error
0.090626
root_mean_squared_error
0.082974
root_relative_squared_error
0.475997
root_relative_squared_error
0.440015
root_relative_squared_error
0.489235
root_relative_squared_error
0.482383
root_relative_squared_error
0.483749
root_relative_squared_error
0.482382
root_relative_squared_error
0.454654
root_relative_squared_error
0.438804
root_relative_squared_error
0.471258
root_relative_squared_error
0.431467
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