Run
627

Run 627

Task 75 (Learning Curve) mfeat-karhunen Uploaded 07-04-2014 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.

19 Evaluation measures

Area under ROC curve
0.6156 ± 0.0159
Per class
F measure
0.2987 ± 0.0288
Per class
Kappa
0.2312 ± 0.0318
KB relative information score
0.2764 ± 0.03
Mean absolute error
0.1384 ± 0.0057
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.3008 ± 0.0356
Per class
Predictive accuracy
0.3081 ± 0.0287
Prior entropy
3.3219
Recall
0.3081 ± 0.0287
Per class
Relative absolute error
0.7688 ± 0.0318
Root mean prior squared error
0.3
Root mean squared error
0.372 ± 0.0077
Root relative squared error
1.24 ± 0.0258
SciMark benchmark
889.9402