Run
781

Run 781

Task 82 (Learning Curve) cmc 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
0.7113 ± 0.0299
Per class
F measure
0.534 ± 0.0363
Per class
Kappa
0.2759 ± 0.0565
KB relative information score
0.2361 ± 0.0263
Mean absolute error
0.3592 ± 0.0107
Mean prior absolute error
0.4308 ± 0.0004
Number of instances
14730
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.5341 ± 0.0364
Per class
Predictive accuracy
0.5364 ± 0.0361
Prior entropy
1.539 ± 0.0028
Recall
0.5364 ± 0.0361
Per class
Relative absolute error
0.8338 ± 0.0248
Root mean prior squared error
0.4641 ± 0.0004
Root mean squared error
0.4358 ± 0.011
Root relative squared error
0.9391 ± 0.0237
SciMark benchmark
890.2637