Run
298005

Run 298005

Task 79 (Learning Curve) mfeat-pixel 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
0.9247 ± 0.0146
Per class
F measure
0.864 ± 0.0268
Per class
Kappa
0.8494 ± 0.0292
KB relative information score
0.8582 ± 0.0274
Mean absolute error
0.0271 ± 0.0052
Mean prior absolute error
0.18
Number of instances
20000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8656 ± 0.0258
Per class
Predictive accuracy
0.8645 ± 0.0262
Prior entropy
3.3219
Recall
0.8645 ± 0.0262
Per class
Relative absolute error
0.1506 ± 0.0292
Root mean prior squared error
0.3
Root mean squared error
0.1647 ± 0.0162
Root relative squared error
0.5488 ± 0.0539
SciMark benchmark
1335.3721
UserCPU time millis
33110
UserCPU time millis testing
150
UserCPU time millis training
32960