DEVELOPMENT... OpenML
Run
50193

Run 50193

Task 2102 (Learning Curve) eucalyptus Uploaded 06-11-2014 by Jason
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.KStar(2)John G. Cleary, Leonard E. Trigg: K*: An Instance-based Learner Using an Entropic Distance Measure. In: 12th International Conference on Machine Learning, 108-114, 1995.
weka.KStar(2)_B20
weka.KStar(2)_Ma

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
0.8646 ± 0.0266
Per class
Build CPU time
0.0001
Build memory
509343680.2
F measure
0.6034 ± 0.0608
Per class
Kappa
0.4917 ± 0.0782
KB relative information score
0.5297 ± 0.0644
Mean absolute error
0.1629 ± 0.0201
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
0.6075 ± 0.0638
Per class
Predictive accuracy
0.6033 ± 0.0614
Prior entropy
2.2621 ± 0.0043
Recall
0.6033 ± 0.0614
Per class
Relative absolute error
0.5201 ± 0.0641
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.3692 ± 0.0281
Root relative squared error
0.933 ± 0.0707
SciMark benchmark
1652.2022