Run
262102

Run 262102

Task 2355 (Supervised Classification) meta_instanceincremental.arff 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
0.8577
Per class
Cross-validation details (33% Holdout set)
F measure
0.8531
Per class
Cross-validation details (33% Holdout set)
Kappa
0.6701
Cross-validation details (33% Holdout set)
KB relative information score
14.9697
Cross-validation details (33% Holdout set)
Mean absolute error
0.0833
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2324
Cross-validation details (33% Holdout set)
Number of instances
24
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
0.8972
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.8333
Cross-validation details (33% Holdout set)
Prior entropy
1.3146
Cross-validation details (33% Holdout set)
Recall
0.8333
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.3586
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3388
Cross-validation details (33% Holdout set)
Root mean squared error
0.2887
Cross-validation details (33% Holdout set)
Root relative squared error
0.8521
Cross-validation details (33% Holdout set)
SciMark benchmark
854.5188
UserCPU time millis
4690
Cross-validation details (33% Holdout set)
UserCPU time millis testing
10
Cross-validation details (33% Holdout set)
UserCPU time millis training
4680
Cross-validation details (33% Holdout set)