Run
537250

Run 537250

Task 68 (Learning Curve) autos Uploaded 16-03-2016 by Jakob Bossek
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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

Description

XML file describing the run, including user-defined evaluation measures.

Predictions

ARFF file with instance-level predictions generated by the model.

15 Evaluation measures

Area under ROC curve
0.8394 ± 0.0685
Per class
Kappa
0.4917 ± 0.1502
KB relative information score
1063.2986 ± 2.0716
Mean absolute error
0.1271 ± 0.0231
Mean prior absolute error
0.2209 ± 0.0014
Number of instances
2050
Per class
Predictive accuracy
0.6146 ± 0.1138
Prior entropy
2.3268
Recall
0.6146 ± 0.1138
Per class
Relative absolute error
0.5752 ± 0.1043
Root mean prior squared error
0.3318 ± 0.0021
Root mean squared error
0.2807 ± 0.0344
Root relative squared error
0.846 ± 0.1032