Run
55029

Run 55029

Task 2102 (Learning Curve) eucalyptus Uploaded 10-11-2014 by Jan van Rijn
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
Issue #Downvotes for this reason By


Flow

weka.J48(13)Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.
weka.J48(13)_C0.25
weka.J48(13)_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.

21 Evaluation measures

Area under ROC curve
0.8416 ± 0.0385
Per class
Build CPU time
0.0052
Build memory
1518424216
F measure
0.6268 ± 0.0524
Per class
Kappa
0.5233 ± 0.0585
KB relative information score
0.5434 ± 0.0452
Mean absolute error
0.1698 ± 0.0149
Mean prior absolute error
0.3132 ± 0.0002
Number of instances
736
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.642 ± 0.0431
Per class
Predictive accuracy
0.6318 ± 0.0435
Prior entropy
2.2621 ± 0.0043
Recall
0.6318 ± 0.0435
Per class
Relative absolute error
0.5422 ± 0.0477
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3295 ± 0.0209
Root relative squared error
0.8327 ± 0.0528
SciMark benchmark
1634.4504