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Run
7829

Run 7829

Task 34 (Supervised Classification) postoperative-patient-data 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)_C0.3
weka.J48(1)_M2

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
0.4444
Per class
F measure
0.5801
Per class
Kappa
-0.0413
KB relative information score
-1.0791
Mean absolute error
0.289
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
0.501
Per class
Predictive accuracy
0.6889
Prior entropy
1.0305
Recall
0.6889
Per class
Relative absolute error
1.0067
Root mean prior squared error
0.3755
Root mean squared error
0.3878
Root relative squared error
1.0328
SciMark benchmark
949.0065[567.60186484084651015.7907504114269484.5405689113658915.94689394904971761.152276377127]