Run
298146

Run 298146

Task 72 (Learning Curve) breast-cancer 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.

22 Evaluation measures

Area under ROC curve
0.6997 ± 0.0986
Per class
F measure
0.7139 ± 0.072
Per class
Kappa
0.2963 ± 0.1705
KB relative information score
0.1945 ± 0.1329
Mean absolute error
0.3267 ± 0.0478
Mean prior absolute error
0.4183 ± 0.0065
Number of instances
2860
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7098 ± 0.0811
Per class
Predictive accuracy
0.7252 ± 0.0689
Prior entropy
0.8779 ± 0.0199
Recall
0.7252 ± 0.0689
Per class
Relative absolute error
0.781 ± 0.1117
Root mean prior squared error
0.457 ± 0.0071
Root mean squared error
0.4541 ± 0.0541
Root relative squared error
0.9936 ± 0.1158
SciMark benchmark
1340.7023
UserCPU time millis
170
UserCPU time millis testing
170