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Run
10261

Run 10261

Task 29 (Supervised Classification) credit-approval Uploaded 22-05-2014 by Felicia West
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Flow

weka.IBk(1)D. Aha, D. Kibler (1991). Instance-based learning algorithms. Machine Learning. 6:37-66.
weka.IBk(1)_Atrue
weka.IBk(1)_K2
weka.IBk(1)_W0

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
0.8752
Per class
F measure
0.822
Per class
Kappa
0.6467
KB relative information score
421.9795
Mean absolute error
0.1911
Mean prior absolute error
0.494
Number of instances
690
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8378
Per class
Predictive accuracy
0.8217
Prior entropy
0.9913
Recall
0.8217
Per class
Relative absolute error
0.3868
Root mean prior squared error
0.497
Root mean squared error
0.3694
Root relative squared error
0.7433
SciMark benchmark
947.1595[561.57136831653141013.3868112175512483.88543266528814908.95975824819551767.9939646936223]