106878
2
Joaquin Vanschoren
265
Supervised Classification
predictive_accuracy
398
weka.AdaBoostM1_BFTree(2)
611
weka.classifiers.meta.AdaBoostM1 -- -P 100 -S 1 -I 20 -W weka.classifiers.trees.BFTree -- -M 2 -N 5 -C 1.0 -P POSTPRUNED -S 1
I
20
398
P
100
398
S
1
398
W
weka.classifiers.trees.BFTree
398
C
true
399
M
2
399
N
5
399
P
POSTPRUNED
399
S
1
399
35
dermatology
https://www.openml.org/data/download/35/dataset_35_dermatology.arff
-1
320891
description
https://api.openml.org/data/download/320891/weka_generated_run2099911857219561009.xml
-1
320894
model_readable
https://api.openml.org/data/download/320894/WekaModel_weka.classifiers.meta.AdaBoostM1888268466855679064.model
-1
320893
model_serialized
https://api.openml.org/data/download/320893/WekaSerialized_weka.classifiers.meta.AdaBoostM18450564338544821607.model
-1
320892
predictions
https://api.openml.org/data/download/320892/weka_generated_predictions1663181218276779827.arff
area_under_roc_curve
0.984984 [1,0.9895,0.980769,0.922358,0.995146,1]
average_cost
0
build_cpu_time
3.712
build_memory
1736476248
f_measure
0.97474 [1,0.952381,0.980392,0.916667,0.971429,1]
kappa
0.968368
kb_relative_information_score
114.670462
mean_absolute_error
0.008333
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
0.031409
root_mean_prior_squared_error
0.363318
root_mean_squared_error
0.091287
root_relative_squared_error
0.251259
scimark_benchmark
906.422138 [559.4100779115328, 921.5471277059248, 483.449727694041, 803.1372699202232, 1764.5664888040972]
total_cost
0
area_under_roc_curve
0.984984 [1,0.9895,0.980769,0.922358,0.995146,1]
average_cost
0
build_cpu_time
3.712
build_memory
1736476248
f_measure
0.97474 [1,0.952381,0.980392,0.916667,0.971429,1]
kappa
0.968368
kb_relative_information_score
114.670462
mean_absolute_error
0.008333
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
0.031409
root_mean_prior_squared_error
0.363318
root_mean_squared_error
0.091287
root_relative_squared_error
0.251259
total_cost
0