Run
299869

Run 299869

Task 81 (Learning Curve) mfeat-zernike 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
0.8622 ± 0.0123
Per class
F measure
0.7234 ± 0.025
Per class
Kappa
0.7244 ± 0.0245
KB relative information score
0.7407 ± 0.0231
Mean absolute error
0.0496 ± 0.0044
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
0.7058 ± 0.0273
Per class
Predictive accuracy
0.752 ± 0.0221
Prior entropy
3.3219
Recall
0.752 ± 0.0221
Per class
Relative absolute error
0.2756 ± 0.0245
Root mean prior squared error
0.3
Root mean squared error
0.2227 ± 0.0099
Root relative squared error
0.7424 ± 0.033
SciMark benchmark
1345.848
UserCPU time millis
94560
UserCPU time millis testing
190
UserCPU time millis training
94370