Run
222817

Run 222817

Task 272 (Supervised Classification) haberman 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
0.6256
Per class
Cross-validation details (33% Holdout set)
F measure
0.7348
Per class
Cross-validation details (33% Holdout set)
Kappa
0.292
Cross-validation details (33% Holdout set)
KB relative information score
33.0278
Cross-validation details (33% Holdout set)
Mean absolute error
0.24
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.3925
Cross-validation details (33% Holdout set)
Number of instances
100
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
0.7374
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.76
Cross-validation details (33% Holdout set)
Prior entropy
0.836
Cross-validation details (33% Holdout set)
Recall
0.76
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.6115
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.444
Cross-validation details (33% Holdout set)
Root mean squared error
0.4899
Cross-validation details (33% Holdout set)
Root relative squared error
1.1034
Cross-validation details (33% Holdout set)
SciMark benchmark
932.0242
UserCPU time millis
100
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
UserCPU time millis training
90
Cross-validation details (33% Holdout set)