Run
54978

Run 54978

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.RandomTree(2)Weka implementation of RandomTree
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001

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
0.6997 ± 0.0347
Per class
Build CPU time
0.0014
Build memory
1270779405
F measure
0.5212 ± 0.0451
Per class
Kappa
0.3838 ± 0.0591
KB relative information score
0.428 ± 0.055
Mean absolute error
0.1954 ± 0.02
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
0.5249 ± 0.0435
Per class
Predictive accuracy
0.519 ± 0.0489
Prior entropy
2.2621 ± 0.0043
Recall
0.519 ± 0.0489
Per class
Relative absolute error
0.6237 ± 0.0639
Root mean prior squared error
0.3957 ± 0.0003
Root mean squared error
0.4318 ± 0.0247
Root relative squared error
1.0912 ± 0.0626
SciMark benchmark
1606.2579