Run
262667

Run 262667

Task 4529 (Supervised Classification) analcatdata_broadwaymult 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

0.5399
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5574
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.0816
Cross-validation details (10 times 10-fold Crossvalidation)
255.2741
Cross-validation details (10 times 10-fold Crossvalidation)
0.4361
Cross-validation details (10 times 10-fold Crossvalidation)
0.4853
Cross-validation details (10 times 10-fold Crossvalidation)
2850
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
0.555
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.5639
Cross-validation details (10 times 10-fold Crossvalidation)
0.9789
Cross-validation details (10 times 10-fold Crossvalidation)
0.5639
Per class
Cross-validation details (10 times 10-fold Crossvalidation)
0.8987
Cross-validation details (10 times 10-fold Crossvalidation)
0.4926
Cross-validation details (10 times 10-fold Crossvalidation)
0.6604
Cross-validation details (10 times 10-fold Crossvalidation)
1.3408
Cross-validation details (10 times 10-fold Crossvalidation)
937.5996
70
Cross-validation details (10 times 10-fold Crossvalidation)
Cross-validation details (10 times 10-fold Crossvalidation)
70
Cross-validation details (10 times 10-fold Crossvalidation)