Run
240515

Run 240515

Task 1785 (Supervised Classification) car 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
0.9565
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
F measure
0.9393
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Kappa
0.8692
Cross-validation details (5 times 2-fold Crossvalidation)
KB relative information score
7197.6523
Cross-validation details (5 times 2-fold Crossvalidation)
Mean absolute error
0.0304
Cross-validation details (5 times 2-fold Crossvalidation)
Mean prior absolute error
0.229
Cross-validation details (5 times 2-fold Crossvalidation)
Number of instances
8640
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
0.943
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Predictive accuracy
0.9391
Cross-validation details (5 times 2-fold Crossvalidation)
Prior entropy
1.2099
Cross-validation details (5 times 2-fold Crossvalidation)
Recall
0.9391
Per class
Cross-validation details (5 times 2-fold Crossvalidation)
Relative absolute error
0.1329
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean prior squared error
0.3381
Cross-validation details (5 times 2-fold Crossvalidation)
Root mean squared error
0.1745
Cross-validation details (5 times 2-fold Crossvalidation)
Root relative squared error
0.516
Cross-validation details (5 times 2-fold Crossvalidation)
SciMark benchmark
1340.1351
UserCPU time millis
1030
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis testing
10
Cross-validation details (5 times 2-fold Crossvalidation)
UserCPU time millis training
1020
Cross-validation details (5 times 2-fold Crossvalidation)