Run
298165

Run 298165

Task 93 (Learning Curve) postoperative-patient-data Uploaded 17-03-2015 by Joaquin Vanschoren
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Flow

weka.LBR(3)Zijian Zheng, G. Webb (2000). Lazy Learning of Bayesian Rules. Machine Learning. 4(1):53-84.

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

20 Evaluation measures

Area under ROC curve
0.3906 ± 0.212
Per class
Kappa
-0.01 ± 0.1622
KB relative information score
-0.0607 ± 0.1227
Mean absolute error
0.2927 ± 0.0313
Mean prior absolute error
0.2871 ± 0.0196
Number of instances
900
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.6878 ± 0.0846
Prior entropy
0.983 ± 0.181
Recall
0.6878 ± 0.0846
Per class
Relative absolute error
1.0197 ± 0.0872
Root mean prior squared error
0.3755 ± 0.0263
Root mean squared error
0.4033 ± 0.0421
Root relative squared error
1.074 ± 0.084
SciMark benchmark
1344.7329
UserCPU time millis
20
UserCPU time millis testing
20