Run
1885

Run 1885

Task 63 (Learning Curve) kr-vs-kp Uploaded 23-04-2014 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
0.9992 ± 0.001
Per class
F measure
0.9904 ± 0.0053
Per class
Kappa
0.9808 ± 0.0106
KB relative information score
0.9681 ± 0.0093
Mean absolute error
0.0178 ± 0.0046
Mean prior absolute error
0.499 ± 0.0001
Number of instances
31960
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.9904 ± 0.0052
Per class
Predictive accuracy
0.9904 ± 0.0053
Prior entropy
0.9986 ± 0.0002
Recall
0.9904 ± 0.0053
Per class
Relative absolute error
0.0357 ± 0.0093
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.0879 ± 0.0209
Root relative squared error
0.176 ± 0.0418
SciMark benchmark
835.4392