Run
168500

Run 168500

Task 1719 (Learning Curve) mfeat-pixel Uploaded 19-02-2015 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
0.9832 ± 0.0049
Per class
F measure
0.9514 ± 0.0146
Per class
Kappa
0.9461 ± 0.0159
KB relative information score
0.9505 ± 0.0155
Mean absolute error
0.0097 ± 0.0029
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.952 ± 0.0141
Per class
Predictive accuracy
0.9515 ± 0.0143
Prior entropy
3.3219
Recall
0.9515 ± 0.0143
Per class
Relative absolute error
0.0538 ± 0.0159
Root mean prior squared error
0.3
Root mean squared error
0.0961 ± 0.015
Root relative squared error
0.3202 ± 0.0499
SciMark benchmark
639.2945
UserCPU time millis
74671640
UserCPU time millis testing
74671430
UserCPU time millis training
210