Run
291522

Run 291522

Task 66 (Learning Curve) audiology Uploaded 16-03-2015 by Joaquin Vanschoren
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.J48(28)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(28)_C0.25
weka.J48(28)_M2

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.

20 Evaluation measures

Area under ROC curve
0.9231 ± 0.0351
Per class
Kappa
0.7403 ± 0.0898
KB relative information score
0.7396 ± 0.0785
Mean absolute error
0.0224 ± 0.0053
Mean prior absolute error
0.0724 ± 0.0004
Number of instances
2260
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Predictive accuracy
0.777 ± 0.0784
Prior entropy
3.4373 ± 0.1528
Recall
0.777 ± 0.0784
Per class
Relative absolute error
0.3093 ± 0.072
Root mean prior squared error
0.1893 ± 0.0011
Root mean squared error
0.1219 ± 0.0208
Root relative squared error
0.6438 ± 0.1093
SciMark benchmark
1347.2843
UserCPU time millis
10
UserCPU time millis training
10