Run
59101

Run 59101

Task 1748 (Learning Curve) tic-tac-toe Uploaded 15-11-2014 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.FilteredClassifier_Discretize_J48(3)Weka implementation of FilteredClassifier
weka.Discretize(2)_Rfirst-last
weka.Discretize(2)_precision6
weka.J48(13)_C0.25
weka.J48(13)_M2
weka.FilteredClassifier_Discretize_J48(3)_Fweka.filters.supervised.attribute.Discretize
weka.FilteredClassifier_Discretize_J48(3)_Wweka.classifiers.trees.J48

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
0.9133 ± 0.0352
Per class
Build CPU time
0.0008
Build memory
1849291464
F measure
0.8548 ± 0.0423
Per class
Kappa
0.6774 ± 0.0957
KB relative information score
0.6503 ± 0.0767
Mean absolute error
0.1558 ± 0.0314
Mean prior absolute error
0.453 ± 0.0013
Number of instances
958
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8546 ± 0.0432
Per class
Predictive accuracy
0.8559 ± 0.0413
Prior entropy
0.931 ± 0.0039
Recall
0.8559 ± 0.0413
Per class
Relative absolute error
0.3438 ± 0.0695
Root mean prior squared error
0.4759 ± 0.0014
Root mean squared error
0.3244 ± 0.0405
Root relative squared error
0.6817 ± 0.086
SciMark benchmark
1769.7895