DEVELOPMENT... OpenML
Run
10331

Run 10331

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)_C0.1
weka.J48(1)_M5

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
0.9119
Per class
F measure
0.896
Per class
Kappa
0.7716
KB relative information score
256.7901
Mean absolute error
0.1267
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
0.8977
Per class
Predictive accuracy
0.8974
Prior entropy
0.9425
Recall
0.8974
Per class
Relative absolute error
0.2752
Root mean prior squared error
0.4797
Root mean squared error
0.291
Root relative squared error
0.6066
SciMark benchmark
915.2047[559.5895783704208859.097183139739484.10363182779514914.34946139689831758.8835103978397]