Run
613

Run 613

Task 35 (Supervised Classification) dermatology Uploaded 07-04-2014 by Jan van Rijn
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I10
weka.Bagging_REPTree(1)_P100
weka.Bagging_REPTree(1)_S1
weka.Bagging_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.Bagging_REPTree(1)_num-slots1
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.995
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.9339
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.9176
Cross-validation details (10-fold Crossvalidation)
KB relative information score
323.0784
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0428
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
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.9354
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9344
Cross-validation details (10-fold Crossvalidation)
Prior entropy
2.4378
Cross-validation details (10-fold Crossvalidation)
Recall
0.9344
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.1606
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.3649
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.1318
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.3612
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
2009.5777