Run
50706

Run 50706

Task 1727 (Learning Curve) optdigits Uploaded 06-11-2014 by Jan van Rijn
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.REPTree(5)Weka implementation of REPTree
weka.REPTree(5)_I0.0
weka.REPTree(5)_L-1
weka.REPTree(5)_M2
weka.REPTree(5)_N3
weka.REPTree(5)_S1
weka.REPTree(5)_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
0.9699 ± 0.0061
Per class
Build CPU time
0.038
Build memory
955430906.5714
F measure
0.8862 ± 0.0159
Per class
Kappa
0.8735 ± 0.0177
KB relative information score
0.8669 ± 0.0153
Mean absolute error
0.031 ± 0.0027
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_33, amd64, Linux, 3.5.0-54-generic]
Precision
0.8866 ± 0.0165
Per class
Predictive accuracy
0.8861 ± 0.0159
Prior entropy
3.3218 ± 0.0001
Recall
0.8861 ± 0.0159
Per class
Relative absolute error
0.1724 ± 0.015
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.1388 ± 0.0098
Root relative squared error
0.4626 ± 0.0325
SciMark benchmark
1316.1996