Run
297109

Run 297109

Task 89 (Learning Curve) page-blocks Uploaded 17-03-2015 by Joaquin Vanschoren
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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
0.8436 ± 0.0251
Per class
F measure
0.956 ± 0.0081
Per class
Kappa
0.7642 ± 0.0406
KB relative information score
0.6851 ± 0.0449
Mean absolute error
0.0159 ± 0.0026
Mean prior absolute error
0.0762 ± 0.0003
Number of instances
54730
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9568 ± 0.0084
Per class
Predictive accuracy
0.9601 ± 0.0064
Prior entropy
0.6355 ± 0.0053
Recall
0.9601 ± 0.0064
Per class
Relative absolute error
0.2093 ± 0.0336
Root mean prior squared error
0.1948 ± 0.0007
Root mean squared error
0.1263 ± 0.0102
Root relative squared error
0.648 ± 0.0522
SciMark benchmark
1358.6902
UserCPU time millis
5370
UserCPU time millis testing
30
UserCPU time millis training
5340