Run
262425

Run 262425

Task 3908 (Supervised Classification) usp05-ft 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

Area under ROC curve
0.8221
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.883
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.7356
Cross-validation details (10-fold Crossvalidation)
KB relative information score
41.086
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.0324
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.1439
Cross-validation details (10-fold Crossvalidation)
Number of instances
72
Per class
Cross-validation details (10-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8659
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.9028
Cross-validation details (10-fold Crossvalidation)
Prior entropy
1.4392
Cross-validation details (10-fold Crossvalidation)
Recall
0.9028
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.2252
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.2584
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.18
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
0.6966
Cross-validation details (10-fold Crossvalidation)
SciMark benchmark
1088.605
UserCPU time millis
860
UserCPU time millis training
860