Run
298155

Run 298155

Task 66 (Learning Curve) audiology 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
0.9347 ± 0.0352
Per class
Kappa
0.6656 ± 0.0832
KB relative information score
0.6119 ± 0.0818
Mean absolute error
0.0259 ± 0.005
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.7212 ± 0.0704
Prior entropy
3.4373 ± 0.1528
Recall
0.7212 ± 0.0704
Per class
Relative absolute error
0.3583 ± 0.0684
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.1347 ± 0.0162
Root relative squared error
0.7116 ± 0.0837
SciMark benchmark
1334.4826
UserCPU time millis
85000
UserCPU time millis testing
85000