Run
304012

Run 304012

Task 4264 (Supervised Classification) confidence Uploaded 18-03-2015 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
0.5592
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
F measure
0.1331
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Kappa
0.1183
Cross-validation details (10 times 10-fold Crossvalidation)
KB relative information score
137.1713
Cross-validation details (10 times 10-fold Crossvalidation)
Mean absolute error
0.2449
Cross-validation details (10 times 10-fold Crossvalidation)
Mean prior absolute error
0.2778
Cross-validation details (10 times 10-fold Crossvalidation)
Number of instances
720
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.091
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Predictive accuracy
0.2653
Cross-validation details (10 times 10-fold Crossvalidation)
Prior entropy
2.585
Cross-validation details (10 times 10-fold Crossvalidation)
Recall
0.2653
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
Relative absolute error
0.8817
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean prior squared error
0.3727
Cross-validation details (10 times 10-fold Crossvalidation)
Root mean squared error
0.4949
Cross-validation details (10 times 10-fold Crossvalidation)
Root relative squared error
1.3279
Cross-validation details (10 times 10-fold Crossvalidation)
SciMark benchmark
1295.0797
UserCPU time millis
20
Cross-validation details (10 times 10-fold Crossvalidation)
UserCPU time millis training
20
Cross-validation details (10 times 10-fold Crossvalidation)