Run
1017

Run 1017

Task 95 (Learning Curve) segment Uploaded 09-04-2014 by Jan van Rijn
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Flow

weka.REPTree(1)Weka implementation of REPTree
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
0.9893 ± 0.006
Per class
F measure
0.9549 ± 0.0126
Per class
Kappa
0.9473 ± 0.0146
KB relative information score
0.9439 ± 0.013
Mean absolute error
0.0178 ± 0.0036
Mean prior absolute error
0.2449
Number of instances
23100
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.955 ± 0.012
Per class
Predictive accuracy
0.9548 ± 0.0125
Prior entropy
2.8074
Recall
0.9548 ± 0.0125
Per class
Relative absolute error
0.0728 ± 0.0146
Root mean prior squared error
0.3499
Root mean squared error
0.1058 ± 0.0144
Root relative squared error
0.3024 ± 0.0412
SciMark benchmark
893.8176