Run
163300

Run 163300

Task 1702 (Learning Curve) kr-vs-kp 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
0.9926 ± 0.0038
Per class
F measure
0.965 ± 0.0046
Per class
Kappa
0.9298 ± 0.0092
KB relative information score
0.865 ± 0.0257
Mean absolute error
0.0751 ± 0.015
Mean prior absolute error
0.499 ± 0.0001
Number of instances
3196
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.9651 ± 0.0044
Per class
Predictive accuracy
0.965 ± 0.0046
Prior entropy
0.9986 ± 0.0002
Recall
0.965 ± 0.0046
Per class
Relative absolute error
0.1505 ± 0.0301
Root mean prior squared error
0.4995 ± 0.0001
Root mean squared error
0.174 ± 0.0166
Root relative squared error
0.3484 ± 0.0333
SciMark benchmark
1060.8407
UserCPU time millis
1275670
UserCPU time millis testing
1275660
UserCPU time millis training
10