Run
240518

Run 240518

Task 1823 (Supervised Classification) iris 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
0.958
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9441
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.916
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
692.4991
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0373
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.4444
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
750
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.9446
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.944
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.585
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.944
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.084
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.4714
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.1932
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.4099
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1348.8402
UserCPU time millis
30
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis testing
10
UserCPU time millis training
20
Cross-validation details (5 times 2-fold Crossvalidation)