Run
1037

Run 1037

Task 93 (Learning Curve) postoperative-patient-data Uploaded 09-04-2014 by Jan van Rijn
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Flow

weka.BayesNet_K2(1)Weka implementation of BayesNet
weka.BayesNet_K2(1)_Dtrue
weka.BayesNet_K2(1)_Qweka.classifiers.bayes.net.search.local.K2
weka.K2(1)_P1
weka.K2(1)_SBAYES

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
0.3947 ± 0.2102
Per class
F measure
0.5715 ± 0.0898
Per class
Kappa
-0.0598 ± 0.1382
KB relative information score
-0.0803 ± 0.1375
Mean absolute error
0.296 ± 0.0331
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[ Oracle Corporation, 1.7.0_15, amd64, Linux, 3.5.0-27-generic ]
Precision
0.5067 ± 0.1088
Per class
Predictive accuracy
0.6611 ± 0.0899
Prior entropy
0.983 ± 0.181
Recall
0.6611 ± 0.0899
Per class
Relative absolute error
1.031 ± 0.0992
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.4085 ± 0.0433
Root relative squared error
1.0878 ± 0.09
SciMark benchmark
879.3491