Run
24486

Run 24486

Task 35 (Supervised Classification) dermatology Uploaded 10-07-2014 by Joaquin Vanschoren
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Flow

weka.Bagging_LADTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_LADTree(1)_I10
weka.Bagging_LADTree(1)_P100
weka.Bagging_LADTree(1)_S1
weka.Bagging_LADTree(1)_Wweka.classifiers.trees.LADTree
weka.Bagging_LADTree(1)_num-slots1
weka.LADTree(1)_B10

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9976
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9781
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9726
Cross-validation details (10-fold Crossvalidation)
KB relative information score
343.3702
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0244
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.2664
Cross-validation details (10-fold Crossvalidation)
Number of instances
366
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9785
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9781
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10-fold Crossvalidation)
Recall
0.9781
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.0917
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.0927
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.254
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
594.8892[345.12082988322487902.555042907464242.70838061665998526.6050449216414957.456756133545]