Run
261968

Run 261968

Task 253 (Supervised Classification) cmc 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
0.6148
Per class
Cross-validation details (33% Holdout set)
F measure
0.5055
Per class
Cross-validation details (33% Holdout set)
Kappa
0.2347
Cross-validation details (33% Holdout set)
KB relative information score
150.0022
Cross-validation details (33% Holdout set)
Mean absolute error
0.3128
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4292
Cross-validation details (33% Holdout set)
Number of instances
486
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.5249
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.5309
Cross-validation details (33% Holdout set)
Prior entropy
1.5392
Cross-validation details (33% Holdout set)
Recall
0.5309
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7287
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4624
Cross-validation details (33% Holdout set)
Root mean squared error
0.5592
Cross-validation details (33% Holdout set)
Root relative squared error
1.2096
Cross-validation details (33% Holdout set)
SciMark benchmark
1264.0609
UserCPU time millis
1690
Cross-validation details (33% Holdout set)
UserCPU time millis testing
40
UserCPU time millis training
1650
Cross-validation details (33% Holdout set)