Run
130

Run 130

Task 86 (Learning Curve) colic 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
0.8871 ± 0.0583
Per class
F measure
0.8464 ± 0.059
Per class
Kappa
0.6669 ± 0.1275
KB relative information score
0.5255 ± 0.082
Mean absolute error
0.2347 ± 0.0338
Mean prior absolute error
0.4662 ± 0.0029
Number of instances
3680
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Precision
0.8478 ± 0.0547
Per class
Predictive accuracy
0.8486 ± 0.0551
Prior entropy
0.9503 ± 0.0087
Recall
0.8486 ± 0.0551
Per class
Relative absolute error
0.5035 ± 0.0723
Root mean prior squared error
0.4827 ± 0.0031
Root mean squared error
0.343 ± 0.0509
Root relative squared error
0.7107 ± 0.1053
SciMark benchmark
1946.3446