Run
262606

Run 262606

Task 4408 (Supervised Classification) fri_c4_500_25 Uploaded 05-03-2015 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

0.6047
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6159
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.2138
Cross-validation details (10 times 10-fold Crossvalidation)
1119.4768
Cross-validation details (10 times 10-fold Crossvalidation)
0.3778
Cross-validation details (10 times 10-fold Crossvalidation)
0.4908
Cross-validation details (10 times 10-fold Crossvalidation)
5000
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
0.6168
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.6222
Cross-validation details (10 times 10-fold Crossvalidation)
0.9867
Cross-validation details (10 times 10-fold Crossvalidation)
0.6222
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.7698
Cross-validation details (10 times 10-fold Crossvalidation)
0.4954
Cross-validation details (10 times 10-fold Crossvalidation)
0.6147
Cross-validation details (10 times 10-fold Crossvalidation)
1.2408
Cross-validation details (10 times 10-fold Crossvalidation)
950.6776
680
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
680
Cross-validation details (10 times 10-fold Crossvalidation)