Run
917

Run 917

Task 69 (Learning Curve) lymph 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
0.7725 ± 0.1127
Per class
Kappa
0.5225 ± 0.2209
KB relative information score
0.4876 ± 0.2271
Mean absolute error
0.1267 ± 0.0617
Mean prior absolute error
0.2677 ± 0.0075
Number of instances
1480
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Predictive accuracy
0.7466 ± 0.1234
Prior entropy
1.2302 ± 0.1357
Recall
0.7466 ± 0.1234
Per class
Relative absolute error
0.4732 ± 0.2292
Root mean prior squared error
0.3639 ± 0.0103
Root mean squared error
0.3559 ± 0.0874
Root relative squared error
0.978 ± 0.2361
SciMark benchmark
891.3332