Run
297099

Run 297099

Task 116 (Learning Curve) ionosphere 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
0.8647 ± 0.0675
Per class
F measure
0.8927 ± 0.0564
Per class
Kappa
0.763 ± 0.125
KB relative information score
0.7655 ± 0.1187
Mean absolute error
0.1043 ± 0.0528
Mean prior absolute error
0.4604 ± 0.0038
Number of instances
3510
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9005 ± 0.0506
Per class
Predictive accuracy
0.8957 ± 0.0528
Prior entropy
0.9418 ± 0.0113
Recall
0.8957 ± 0.0528
Per class
Relative absolute error
0.2265 ± 0.1146
Root mean prior squared error
0.4797 ± 0.004
Root mean squared error
0.3229 ± 0.096
Root relative squared error
0.6732 ± 0.1999
SciMark benchmark
1342.3412
UserCPU time millis
350
UserCPU time millis training
350