DEVELOPMENT... OpenML
Run
14727

Run 14727

Task 22 (Supervised Classification) mfeat-zernike Uploaded 23-05-2014 by Felicia West
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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)_B15

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
0.605
Per class
F measure
0.2746
Per class
Kappa
0.21
KB relative information score
512.9328
Mean absolute error
0.1422
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.2731
Per class
Predictive accuracy
0.289
Prior entropy
3.3219
Recall
0.289
Per class
Relative absolute error
0.79
Root mean prior squared error
0.3
Root mean squared error
0.3771
Root relative squared error
1.257
SciMark benchmark
948.0646[566.31191013187331015.2555353338006489.39918924322484909.90626928802961759.4501199261804]