Run
240580

Run 240580

Task 3747 (Supervised Classification) fri_c0_500_5 Uploaded 02-03-2015 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
0.842
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.842
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.684
Cross-validation details (10-fold Crossvalidation)
KB relative information score
341.9963
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.158
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.5
Cross-validation details (10-fold Crossvalidation)
Number of instances
500
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.842
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.842
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1
Cross-validation details (10-fold Crossvalidation)
Recall
0.842
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.316
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.5
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.3975
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.795
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1419.2433
UserCPU time millis
100
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis testing
Cross-validation details (10-fold Crossvalidation)
UserCPU time millis training
100
Cross-validation details (10-fold Crossvalidation)