Run
262101

Run 262101

Task 2353 (Supervised Classification) meta_batchincremental.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
0.6592
Per class
Cross-validation details (33% Holdout set)
F measure
0.6833
Per class
Cross-validation details (33% Holdout set)
Kappa
0.232
Cross-validation details (33% Holdout set)
KB relative information score
3.4523
Cross-validation details (33% Holdout set)
Mean absolute error
0.1667
Cross-validation details (33% Holdout set)
Mean prior absolute error
0.2249
Cross-validation details (33% Holdout set)
Number of instances
24
Per class
Cross-validation details (33% Holdout set)
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.7284
Per class
Cross-validation details (33% Holdout set)
Predictive accuracy
0.6667
Cross-validation details (33% Holdout set)
Prior entropy
1.3842
Cross-validation details (33% Holdout set)
Recall
0.6667
Per class
Cross-validation details (33% Holdout set)
Relative absolute error
0.7411
Cross-validation details (33% Holdout set)
Root mean prior squared error
0.3095
Cross-validation details (33% Holdout set)
Root mean squared error
0.4082
Cross-validation details (33% Holdout set)
Root relative squared error
1.3191
Cross-validation details (33% Holdout set)
SciMark benchmark
1270.2428
UserCPU time millis
4880
Cross-validation details (33% Holdout set)
UserCPU time millis testing
Cross-validation details (33% Holdout set)
UserCPU time millis training
4880
Cross-validation details (33% Holdout set)