112544
2
Joaquin Vanschoren
265
Supervised Classification
predictive_accuracy
405
weka.AdaBoostM1_J48(2)
628
weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 20 -W weka.classifiers.trees.J48 -- -C 0.25 -M 2
I
20
405
P
100
405
S
1
405
W
weka.classifiers.trees.J48
405
C
0.25
365
M
2
365
35
dermatology
https://www.openml.org/data/download/35/dataset_35_dermatology.arff
-1
343421
description
https://api.openml.org/data/download/343421/weka_generated_run1188482431372243685.xml
-1
343424
model_readable
https://api.openml.org/data/download/343424/WekaModel_weka.classifiers.meta.AdaBoostM12783220190558942391.model
-1
343423
model_serialized
https://api.openml.org/data/download/343423/WekaSerialized_weka.classifiers.meta.AdaBoostM13367816223530372539.model
-1
343422
predictions
https://api.openml.org/data/download/343422/weka_generated_predictions594431371783086048.arff
area_under_roc_curve
0.989594 [1,0.9885,1,0.921639,1,1]
average_cost
0
build_cpu_time
0.046
build_memory
1010286336
f_measure
0.97474 [1,0.952381,0.980392,0.916667,0.971429,1]
kappa
0.968368
kb_relative_information_score
114.664401
mean_absolute_error
0.008372
mean_prior_absolute_error
0.265315
number_of_instances
120 [38,20,26,13,17,6]
os_information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
precision
0.976978 [1,0.909091,1,1,0.944444,1]
predictive_accuracy
0.975
prior_entropy
2.437791
recall
0.975 [1,1,0.961538,0.846154,1,1]
relative_absolute_error
0.031555
root_mean_prior_squared_error
0.363318
root_mean_squared_error
0.087953
root_relative_squared_error
0.242083
scimark_benchmark
890.306577 [519.7379820491665, 836.3519494571716, 477.2185884444444, 893.7743384501881, 1724.4500277703307]
total_cost
0
area_under_roc_curve
0.989594 [1,0.9885,1,0.921639,1,1]
average_cost
0
build_cpu_time
0.046
build_memory
1010286336
f_measure
0.97474 [1,0.952381,0.980392,0.916667,0.971429,1]
kappa
0.968368
kb_relative_information_score
114.664401
mean_absolute_error
0.008372
mean_prior_absolute_error
0.265315
number_of_instances
120 [38,20,26,13,17,6]
precision
0.976978 [1,0.909091,1,1,0.944444,1]
predictive_accuracy
0.975
prior_entropy
2.437791
recall
0.975 [1,1,0.961538,0.846154,1,1]
relative_absolute_error
0.031555
root_mean_prior_squared_error
0.363318
root_mean_squared_error
0.087953
root_relative_squared_error
0.242083
total_cost
0