Run
8

Run 8

Task 85 (Learning Curve) nursery Uploaded 06-04-2014 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
0.7863 ± 0.0078
Per class
Kappa
0.5701 ± 0.0157
KB relative information score
0.5811 ± 0.0136
Mean absolute error
0.1161 ± 0.0042
Mean prior absolute error
0.273 ± 0.0001
Number of instances
129600
Per class
OS information
[ Oracle Corporation, 1.7.0_51, amd64, Linux, 3.7.10-1.28-desktop ]
Predictive accuracy
0.7097 ± 0.0106
Prior entropy
1.7165 ± 0.0037
Recall
0.7097 ± 0.0106
Per class
Relative absolute error
0.4253 ± 0.0155
Root mean prior squared error
0.3695 ± 0.0001
Root mean squared error
0.3408 ± 0.0062
Root relative squared error
0.9223 ± 0.0169
SciMark benchmark
1968.4525