Run
297046

Run 297046

Task 64 (Learning Curve) labor 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
0.8886 ± 0.136
Per class
F measure
0.892 ± 0.12
Per class
Kappa
0.765 ± 0.284
KB relative information score
0.7528 ± 0.3004
Mean absolute error
0.1088 ± 0.129
Mean prior absolute error
0.457 ± 0.0208
Number of instances
570
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8939 ± 0.0808
Per class
Predictive accuracy
0.8912 ± 0.129
Prior entropy
0.9349 ± 0.0618
Recall
0.8912 ± 0.129
Per class
Relative absolute error
0.238 ± 0.2864
Root mean prior squared error
0.4773 ± 0.0219
Root mean squared error
0.3298 ± 0.243
Root relative squared error
0.691 ± 0.5154
SciMark benchmark
1337.9038
UserCPU time millis
70
UserCPU time millis training
70