150
1
Jan van Rijn
7
Supervised Classification
predictive_accuracy
57
weka.OneR(1)
2
weka.classifiers.rules.OneR -- -B 6
B
6
57
7
audiology
https://www.openml.org/data/download/7/dataset_7_audiology.arff
-1
361
description
https://api.openml.org/data/download/361/weka_generated_run7119649715844860851.xml
-1
362
predictions
https://api.openml.org/data/download/362/weka_generated_predictions5744239207918449010.arff
area_under_roc_curve
0.654877 [0.5,0.5,0.89645,0.5,0.5,0.5,0.5,0.758427,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5,0.5]
average_cost
0
f_measure
0.304997 [0,0,0.765101,0,0,0,0,0.527473,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
kappa
0.305939
kb_relative_information_score
61.189467
mean_absolute_error
0.044617
mean_prior_absolute_error
0.072392
number_of_instances
226 [1,1,57,22,1,2,20,48,2,6,2,4,2,2,9,3,1,2,22,4,1,4,8,2]
os_information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
precision
0.232342 [0,0,0.619565,0,0,0,0,0.358209,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
predictive_accuracy
0.464602
prior_entropy
3.634907
recall
0.464602 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.616316
root_mean_prior_squared_error
0.189308
root_mean_squared_error
0.211226
root_relative_squared_error
1.115779
scimark_benchmark
1972.2233609138693 [ 1228.7711505480327, 1603.7910234713668, 932.0674992283984, 1670.7711857487384, 4425.715945572811 ]
total_cost
0
area_under_roc_curve
0.661765 [0.0,0.0,0.911765,0.5,0.0,0.5,0.5,0.75,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.5,0.5,0.0,0.0,0.5,0.0]
area_under_roc_curve
0.658497 [0.0,0.0,0.852941,0.5,0.0,0.5,0.5,0.805556,0.0,0.0,0.5,0.0,0.5,0.0,0.5,0.0,0.0,0.0,0.5,0.5,0.0,0.0,0.5,0.0]
area_under_roc_curve
0.658497 [0.0,0.0,0.852941,0.5,0.0,0.0,0.5,0.805556,0.0,0.0,0.5,0.0,0.5,0.0,0.5,0.0,0.0,0.0,0.5,0.5,0.5,0.0,0.5,0.0]
area_under_roc_curve
0.663399 [0.5,0.0,0.941176,0.5,0.0,0.0,0.5,0.722222,0.0,0.5,0.0,0.0,0.0,0.5,0.5,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.5,0.0]
area_under_roc_curve
0.661765 [0.0,0.0,0.911765,0.5,0.5,0.0,0.5,0.75,0.0,0.5,0.0,0.0,0.0,0.5,0.5,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.5,0.0]
area_under_roc_curve
0.638889 [0.0,0.0,0.916667,0.5,0.0,0.0,0.5,0.722222,0.0,0.5,0.0,0.5,0.0,0.0,0.5,0.0,0.5,0.0,0.5,0.0,0.0,0.5,0.5,0.5]
area_under_roc_curve
0.647059 [0.0,0.0,0.882353,0.5,0.0,0.0,0.5,0.764706,0.0,0.5,0.0,0.5,0.0,0.0,0.5,0.5,0.0,0.0,0.5,0.0,0.0,0.5,0.0,0.5]
area_under_roc_curve
0.647059 [0.0,0.0,0.911765,0.5,0.0,0.0,0.5,0.735294,0.5,0.5,0.0,0.5,0.0,0.0,0.5,0.5,0.0,0.0,0.5,0.0,0.0,0.0,0.0,0.0]
area_under_roc_curve
0.65625 [0.0,0.0,0.90625,0.5,0.0,0.0,0.5,0.75,0.5,0.5,0.0,0.5,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.0,0.0,0.0,0.5,0.0]
area_under_roc_curve
0.652778 [0.0,0.5,0.875,0.5,0.0,0.0,0.5,0.777778,0.0,0.0,0.0,0.0,0.0,0.0,0.5,0.0,0.0,0.5,0.5,0.5,0.0,0.0,0.5,0.0]
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
average_cost
0
build_cpu_time
0.001
build_cpu_time
0.001
build_cpu_time
0
build_cpu_time
0
build_cpu_time
0
build_cpu_time
0.001
build_cpu_time
0
build_cpu_time
0
build_cpu_time
0
build_cpu_time
0
f_measure
0.323112 [0,0,0.8,0,0,0,0,0.526316,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.31202 [0,0,0.705882,0,0,0,0,0.588235,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.31202 [0,0,0.705882,0,0,0,0,0.588235,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.332298 [0,0,0.857143,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.323112 [0,0,0.8,0,0,0,0,0.526316,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.27592 [0,0,0.769231,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.2886 [0,0,0.714286,0,0,0,0,0.555556,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.294442 [0,0,0.769231,0,0,0,0,0.526316,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.303743 [0,0,0.8,0,0,0,0,0.470588,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
f_measure
0.295455 [0,0,0.75,0,0,0,0,0.5,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
kappa
0.318519
kappa
0.315136
kappa
0.315136
kappa
0.320197
kappa
0.318519
kappa
0.277778
kappa
0.294118
kappa
0.294118
kappa
0.301587
kappa
0.297872
kb_relative_information_score
6.403764
kb_relative_information_score
6.437277
kb_relative_information_score
6.438881
kb_relative_information_score
6.432401
kb_relative_information_score
6.432401
kb_relative_information_score
5.844504
kb_relative_information_score
5.855842
kb_relative_information_score
5.825555
kb_relative_information_score
5.760279
kb_relative_information_score
5.758563
mean_absolute_error
0.043478
mean_absolute_error
0.043478
mean_absolute_error
0.043478
mean_absolute_error
0.043478
mean_absolute_error
0.043478
mean_absolute_error
0.047101
mean_absolute_error
0.045455
mean_absolute_error
0.045455
mean_absolute_error
0.045455
mean_absolute_error
0.045455
mean_prior_absolute_error
0.072029
mean_prior_absolute_error
0.072319
mean_prior_absolute_error
0.072333
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.072275
mean_prior_absolute_error
0.073043
mean_prior_absolute_error
0.072682
mean_prior_absolute_error
0.072409
mean_prior_absolute_error
0.072288
mean_prior_absolute_error
0.072273
number_of_instances
23 [0,0,6,3,0,1,2,5,0,0,0,0,0,0,1,0,0,1,2,1,0,0,1,0]
number_of_instances
23 [0,0,6,2,0,1,2,5,0,0,1,0,1,0,1,0,0,0,2,1,0,0,1,0]
number_of_instances
23 [0,0,6,2,0,0,2,5,0,0,1,0,1,0,1,0,0,0,2,1,1,0,1,0]
number_of_instances
23 [1,0,6,2,0,0,2,5,0,1,0,0,0,1,1,0,0,0,2,0,0,1,1,0]
number_of_instances
23 [0,0,6,2,1,0,2,5,0,1,0,0,0,1,1,0,0,0,2,0,0,1,1,0]
number_of_instances
23 [0,0,5,2,0,0,2,5,0,1,0,1,0,0,1,0,1,0,2,0,0,1,1,1]
number_of_instances
22 [0,0,5,2,0,0,2,5,0,1,0,1,0,0,1,1,0,0,2,0,0,1,0,1]
number_of_instances
22 [0,0,5,2,0,0,2,5,1,1,0,1,0,0,1,1,0,0,3,0,0,0,0,0]
number_of_instances
22 [0,0,6,2,0,0,2,4,1,1,0,1,0,0,0,1,0,0,3,0,0,0,1,0]
number_of_instances
22 [0,1,6,3,0,0,2,4,0,0,0,0,0,0,1,0,0,1,2,1,0,0,1,0]
precision
0.251553 [0,0,0.666667,0,0,0,0,0.357143,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.232872 [0,0,0.545455,0,0,0,0,0.416667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.232872 [0,0,0.545455,0,0,0,0,0.416667,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.268116 [0,0,0.75,0,0,0,0,0.333333,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.251553 [0,0,0.666667,0,0,0,0,0.357143,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.208333 [0,0,0.625,0,0,0,0,0.333333,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.213675 [0,0,0.555556,0,0,0,0,0.384615,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.223214 [0,0,0.625,0,0,0,0,0.357143,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.237762 [0,0,0.666667,0,0,0,0,0.307692,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
precision
0.224242 [0,0,0.6,0,0,0,0,0.333333,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
predictive_accuracy
0.478261
predictive_accuracy
0.478261
predictive_accuracy
0.478261
predictive_accuracy
0.478261
predictive_accuracy
0.478261
predictive_accuracy
0.434783
predictive_accuracy
0.454545
predictive_accuracy
0.454545
predictive_accuracy
0.454545
predictive_accuracy
0.454545
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
prior_entropy
3.634907
recall
0.478261 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.478261 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.478261 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.478261 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.478261 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.434783 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.454545 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.454545 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.454545 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
recall
0.454545 [0,0,1,0,0,0,0,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0]
relative_absolute_error
0.603622
relative_absolute_error
0.601202
relative_absolute_error
0.601082
relative_absolute_error
0.601564
relative_absolute_error
0.601564
relative_absolute_error
0.644841
relative_absolute_error
0.625391
relative_absolute_error
0.627746
relative_absolute_error
0.628799
relative_absolute_error
0.628931
root_mean_prior_squared_error
0.188346
root_mean_prior_squared_error
0.189114
root_mean_prior_squared_error
0.189152
root_mean_prior_squared_error
0.188999
root_mean_prior_squared_error
0.188999
root_mean_prior_squared_error
0.19102
root_mean_prior_squared_error
0.190071
root_mean_prior_squared_error
0.189353
root_mean_prior_squared_error
0.189032
root_mean_prior_squared_error
0.188992
root_mean_squared_error
0.208514
root_mean_squared_error
0.208514
root_mean_squared_error
0.208514
root_mean_squared_error
0.208514
root_mean_squared_error
0.208514
root_mean_squared_error
0.217029
root_mean_squared_error
0.213201
root_mean_squared_error
0.213201
root_mean_squared_error
0.213201
root_mean_squared_error
0.213201
root_relative_squared_error
1.10708
root_relative_squared_error
1.102585
root_relative_squared_error
1.102361
root_relative_squared_error
1.103256
root_relative_squared_error
1.103256
root_relative_squared_error
1.136154
root_relative_squared_error
1.121687
root_relative_squared_error
1.125945
root_relative_squared_error
1.127853
root_relative_squared_error
1.128093
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