DEVELOPMENT... OpenML
Run
8914

Run 8914

Task 57 (Supervised Classification) ionosphere Uploaded 22-05-2014 by Felicia West
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Flow

weka.J48(1)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(1)_C0.25
weka.J48(1)_M15

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
0.8922
Per class
F measure
0.8814
Per class
Kappa
0.7394
KB relative information score
229.2652
Mean absolute error
0.1689
Mean prior absolute error
0.4604
Number of instances
351
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8832
Per class
Predictive accuracy
0.8832
Prior entropy
0.9425
Recall
0.8832
Per class
Relative absolute error
0.3667
Root mean prior squared error
0.4797
Root mean squared error
0.3098
Root relative squared error
0.6458
SciMark benchmark
911.8852[561.752215550862847.7584717919177479.99187728791736909.90626928802961760.0170946291457]