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Run
11014

Run 11014

Task 34 (Supervised Classification) postoperative-patient-data 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
0.3633
Per class
F measure
0.5856
Per class
Kappa
-0.021
KB relative information score
-11.0395
Mean absolute error
0.3028
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5034
Per class
Predictive accuracy
0.7
Prior entropy
1.0305
Recall
0.7
Per class
Relative absolute error
1.0547
Root mean prior squared error
0.3755
Root mean squared error
0.4428
Root relative squared error
1.1793
SciMark benchmark
922.935[564.8447560239533882.7096385740571483.88543266528814914.66854765231311768.5665966389256]

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