51615
2
Joaquin Vanschoren
265
Supervised Classification
predictive_accuracy
527
weka.Bagging_LMT(2)
784
weka.classifiers.meta.Bagging -- -P 100 -S 1 -num-slots 1 -I 80 -W weka.classifiers.trees.LMT -- -I -1 -M 15 -W 0.0
I
80
527
P
100
527
S
1
527
W
weka.classifiers.trees.LMT
527
num-slots
1
527
I
-1
412
M
15
412
W
0.0
412
35
dermatology
https://www.openml.org/data/download/35/dataset_35_dermatology.arff
-1
136694
description
https://api.openml.org/data/download/136694/weka_generated_run2473464090600607201.xml
-1
136697
model_readable
https://api.openml.org/data/download/136697/WekaModel_weka.classifiers.meta.Bagging2835165826786875353.model
-1
136696
model_serialized
https://api.openml.org/data/download/136696/WekaSerialized_weka.classifiers.meta.Bagging6119072328755263443.model
-1
136695
predictions
https://api.openml.org/data/download/136695/weka_generated_predictions1194154198597130644.arff
area_under_roc_curve
0.999113 [1,0.9975,1,0.996405,0.999429,1]
average_cost
0
build_cpu_time
64.954
build_memory
210297240
f_measure
0.97474 [1,0.952381,0.980392,0.916667,0.971429,1]
kappa
0.968368
kb_relative_information_score
112.389605
mean_absolute_error
0.019037
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
0.071751
root_mean_prior_squared_error
0.363318
root_mean_squared_error
0.089506
root_relative_squared_error
0.246356
scimark_benchmark
945.982513 [557.7999961202322, 1014.7209476623404, 479.3490265306122, 908.3298941433044, 1769.7127006129608]
total_cost
0
area_under_roc_curve
0.999113 [1,0.9975,1,0.996405,0.999429,1]
average_cost
0
build_cpu_time
64.954
build_memory
210297240
f_measure
0.97474 [1,0.952381,0.980392,0.916667,0.971429,1]
kappa
0.968368
kb_relative_information_score
112.389605
mean_absolute_error
0.019037
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
0.071751
root_mean_prior_squared_error
0.363318
root_mean_squared_error
0.089506
root_relative_squared_error
0.246356
total_cost
0