Run
953

Run 953

Task 98 (Learning Curve) sonar Uploaded 08-04-2014 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
0.7402 ± 0.1335
Per class
F measure
0.7129 ± 0.1196
Per class
Kappa
0.4226 ± 0.233
KB relative information score
0.3244 ± 0.1889
Mean absolute error
0.3476 ± 0.0892
Mean prior absolute error
0.4978 ± 0.0015
Number of instances
2080
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.7145 ± 0.1186
Per class
Predictive accuracy
0.7144 ± 0.1151
Prior entropy
0.9967 ± 0.0043
Recall
0.7144 ± 0.1151
Per class
Relative absolute error
0.6984 ± 0.1793
Root mean prior squared error
0.4989 ± 0.0015
Root mean squared error
0.4643 ± 0.0927
Root relative squared error
0.9307 ± 0.1858
SciMark benchmark
879.4732