Run
162256

Run 162256

Task 1764 (Learning Curve) electricity 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.CHIRP(1)Leland Wilkinson, Anushka Anand,, Tuan Dang : CHIRP: A new classi?er based on Composite Hypercubes on Iterated Random Projection. In: Proceedings of the 17th ACM KDD, 2011.
weka.CHIRP(1)_V7
weka.CHIRP(1)_S1

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
0.812 ± 0.0068
Per class
F measure
0.8202 ± 0.0065
Per class
Kappa
0.6305 ± 0.0134
KB relative information score
0.6306 ± 0.0133
Mean absolute error
0.1787 ± 0.0064
Mean prior absolute error
0.4886 ± 0
Number of instances
45312
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.16.0-29-generic]
Precision
0.8209 ± 0.0065
Per class
Predictive accuracy
0.8213 ± 0.0064
Prior entropy
0.9835 ± 0
Recall
0.8213 ± 0.0064
Per class
Relative absolute error
0.3657 ± 0.0132
Root mean prior squared error
0.4943 ± 0
Root mean squared error
0.4227 ± 0.0076
Root relative squared error
0.8552 ± 0.0154
SciMark benchmark
1062.8864
UserCPU time millis
562530
UserCPU time millis testing
6100
UserCPU time millis training
556430