Run
898

Run 898

Task 89 (Learning Curve) page-blocks 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
0.9894 ± 0.0073
Per class
F measure
0.9719 ± 0.0065
Per class
Kappa
0.8525 ± 0.0343
KB relative information score
0.7808 ± 0.0329
Mean absolute error
0.0173 ± 0.002
Mean prior absolute error
0.0762 ± 0.0003
Number of instances
54730
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9717 ± 0.0065
Per class
Predictive accuracy
0.9727 ± 0.0064
Prior entropy
0.6355 ± 0.0053
Recall
0.9727 ± 0.0064
Per class
Relative absolute error
0.2275 ± 0.0266
Root mean prior squared error
0.1948 ± 0.0007
Root mean squared error
0.0921 ± 0.0085
Root relative squared error
0.4726 ± 0.0438
SciMark benchmark
891.6711