Run
163811

Run 163811

Task 1740 (Learning Curve) soybean Uploaded 16-02-2015 by Jan van Rijn
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  • study_2 study_37 weka weka_3.7.12
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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
0.9946 ± 0.0035
Per class
F measure
0.9348 ± 0.0198
Per class
Kappa
0.9294 ± 0.0205
KB relative information score
0.9399 ± 0.0193
Mean absolute error
0.0086 ± 0.0024
Mean prior absolute error
0.0961 ± 0.0001
Number of instances
683
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9422 ± 0.0152
Per class
Predictive accuracy
0.9356 ± 0.0187
Prior entropy
3.8358 ± 0.0227
Recall
0.9356 ± 0.0187
Per class
Relative absolute error
0.0897 ± 0.0251
Root mean prior squared error
0.2191 ± 0.0002
Root mean squared error
0.0779 ± 0.0146
Root relative squared error
0.3554 ± 0.0666
SciMark benchmark
1060.8407
UserCPU time millis
179120
UserCPU time millis testing
179120