DEVELOPMENT... OpenML
Run
520

Run 520

Task 35 (Supervised Classification) dermatology Uploaded 07-04-2014 by Jason
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Flow

weka.REPTree(1)Weka implementation of REPTree
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
0.9652
Per class
F measure
0.9119
Per class
Kappa
0.89
KB relative information score
317.4537
Mean absolute error
0.04
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.9129
Per class
Predictive accuracy
0.9126
Prior entropy
2.4378
Recall
0.9126
Per class
Relative absolute error
0.15
Root mean prior squared error
0.3649
Root mean squared error
0.1616
Root relative squared error
0.443
SciMark benchmark
2008.4237