Run
297676

Run 297676

Task 71 (Learning Curve) mfeat-factors 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
0.9608 ± 0.0098
Per class
F measure
0.9295 ± 0.0178
Per class
Kappa
0.9217 ± 0.0196
KB relative information score
0.9263 ± 0.0185
Mean absolute error
0.0141 ± 0.0035
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
0.9307 ± 0.0166
Per class
Predictive accuracy
0.9295 ± 0.0176
Prior entropy
3.3219
Recall
0.9295 ± 0.0176
Per class
Relative absolute error
0.0783 ± 0.0196
Root mean prior squared error
0.3
Root mean squared error
0.1187 ± 0.0155
Root relative squared error
0.3958 ± 0.0516
SciMark benchmark
1354.3161
UserCPU time millis
17600
UserCPU time millis testing
70
UserCPU time millis training
17530