Run
25033

Run 25033

Task 62 (Learning Curve) anneal Uploaded 16-08-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.OneR(3)R.C. Holte (1993). Very simple classification rules perform well on most commonly used datasets. Machine Learning. 11:63-91.
weka.OneR(3)_B6

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.

19 Evaluation measures

Area under ROC curve
0.6565 ± 0.0095
Per class
Build CPU time
0.0008
Build memory
197789142.9422
Kappa
0.4347 ± 0.021
KB relative information score
0.4713 ± 0.0177
Mean absolute error
0.0546 ± 0.0017
Mean prior absolute error
0.1343 ± 0.0012
Number of instances
8980
Per class
OS information
[Oracle Corporation, 1.7.0_55, amd64, Linux, 3.13.0-32-generic]
Predictive accuracy
0.8363 ± 0.005
Prior entropy
1.1915 ± 0.0248
Recall
0.8363 ± 0.005
Per class
Relative absolute error
0.4063 ± 0.0111
Root mean prior squared error
0.2582 ± 0.0023
Root mean squared error
0.2336 ± 0.0036
Root relative squared error
0.9046 ± 0.0119
SciMark benchmark
775.9981[469.1340932148987973.7013819753541408.57755533778607770.7851120633991257.7921058814234]