Run
731

Run 731

Task 96 (Learning Curve) diabetes Uploaded 08-04-2014 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
0.8168 ± 0.0518
Per class
F measure
0.7545 ± 0.0506
Per class
Kappa
0.4519 ± 0.1145
KB relative information score
0.3222 ± 0.0683
Mean absolute error
0.3119 ± 0.0268
Mean prior absolute error
0.4545 ± 0.0015
Number of instances
7680
Per class
OS information
[ Sun Microsystems Inc., 1.6.0_30, amd64, Linux, 2.6.32-358.6.2.el6.x86_64 ]
Precision
0.7538 ± 0.0522
Per class
Predictive accuracy
0.7594 ± 0.0484
Prior entropy
0.9331 ± 0.0044
Recall
0.7594 ± 0.0484
Per class
Relative absolute error
0.6862 ± 0.0593
Root mean prior squared error
0.4766 ± 0.0015
Root mean squared error
0.4049 ± 0.0304
Root relative squared error
0.8494 ± 0.064
SciMark benchmark
937.7707