Run
1008

Run 1008

Task 80 (Learning Curve) car Uploaded 08-04-2014 by Jan van Rijn
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Flow

weka.OneR(1)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(1)_B6

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.

17 Evaluation measures

Area under ROC curve
0.5
Per class
KB relative information score
0.2292 ± 0.0026
Mean absolute error
0.1499 ± 0.0011
Mean prior absolute error
0.229 ± 0.0006
Number of instances
17280
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.7002 ± 0.0022
Prior entropy
1.2058 ± 0.0089
Recall
0.7002 ± 0.0022
Per class
Relative absolute error
0.6546 ± 0.0031
Root mean prior squared error
0.3381 ± 0.001
Root mean squared error
0.3871 ± 0.0014
Root relative squared error
1.145 ± 0.0017
SciMark benchmark
881.7464