Run
300108

Run 300108

Task 85 (Learning Curve) nursery 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
0.9974 ± 0.0007
Per class
Kappa
0.9622 ± 0.0064
KB relative information score
0.8665 ± 0.0057
Mean absolute error
0.051 ± 0.002
Mean prior absolute error
0.273 ± 0.0001
Number of instances
129600
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.9744 ± 0.0043
Prior entropy
1.7165 ± 0.0037
Recall
0.9744 ± 0.0043
Per class
Relative absolute error
0.187 ± 0.0073
Root mean prior squared error
0.3695 ± 0.0001
Root mean squared error
0.1263 ± 0.0039
Root relative squared error
0.3419 ± 0.0104
SciMark benchmark
1334.4826
UserCPU time millis
440870
UserCPU time millis testing
440860
UserCPU time millis training
10