DEVELOPMENT... OpenML
Run
6914

Run 6914

Task 35 (Supervised Classification) dermatology Uploaded 21-05-2014 by Felicia West
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Flow

weka.Bagging_REPTree(1)Leo Breiman (1996). Bagging predictors. Machine Learning. 24(2):123-140.
weka.Bagging_REPTree(1)_I20
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
0.9947
Per class
F measure
0.9255
Per class
Kappa
0.9071
KB relative information score
321.7064
Mean absolute error
0.0434
Mean prior absolute error
0.2664
Number of instances
366
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.927
Per class
Predictive accuracy
0.9262
Prior entropy
2.4378
Recall
0.9262
Per class
Relative absolute error
0.163
Root mean prior squared error
0.3649
Root mean squared error
0.1331
Root relative squared error
0.3649
SciMark benchmark
945.5761[556.90953288490741015.5230404536866484.7593072718849911.80521739130441758.8835103978397]