Run
222818

Run 222818

Task 277 (Supervised Classification) tae Uploaded 01-03-2015 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
0.5677
Per class
Cross-validation details (33% Holdout set)
F measure
0.4271
Per class
Cross-validation details (33% Holdout set)
Kappa
0.1366
Cross-validation details (33% Holdout set)
KB relative information score
10.641
Cross-validation details (33% Holdout set)
Mean absolute error
0.381
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.4445
Cross-validation details (33% Holdout set)
Number of instances
49
Per class
Cross-validation details (33% Holdout set)
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.4262
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.4286
Cross-validation details (33% Holdout set)
Prior entropy
1.5845
Cross-validation details (33% Holdout set)
Recall
0.4286
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.8571
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.4715
Cross-validation details (33% Holdout set)
Root mean squared error
0.6172
Cross-validation details (33% Holdout set)
Root relative squared error
1.309
Cross-validation details (33% Holdout set)
SciMark benchmark
918.0213
UserCPU time millis
210
Cross-validation details (33% Holdout set)
UserCPU time millis testing
20
UserCPU time millis training
190
Cross-validation details (33% Holdout set)