Run
46805

Run 46805

Task 1727 (Learning Curve) optdigits Uploaded 04-11-2014 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.MultiBoostAB_RandomTree(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.RandomTree(2)_K0
weka.RandomTree(2)_M1.0
weka.RandomTree(2)_S1
weka.RandomTree(2)_V0.001
weka.MultiBoostAB_RandomTree(2)_C3
weka.MultiBoostAB_RandomTree(2)_P100
weka.MultiBoostAB_RandomTree(2)_S1
weka.MultiBoostAB_RandomTree(2)_I10
weka.MultiBoostAB_RandomTree(2)_Wweka.classifiers.trees.RandomTree

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
0.9244 ± 0.0098
Per class
Build CPU time
0.0101
Build memory
757573938.0571
F measure
0.8639 ± 0.0177
Per class
Kappa
0.8488 ± 0.0196
KB relative information score
0.8577 ± 0.0184
Mean absolute error
0.0272 ± 0.0035
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
0.8641 ± 0.0174
Per class
Predictive accuracy
0.8639 ± 0.0176
Prior entropy
3.3218 ± 0.0001
Recall
0.8639 ± 0.0176
Per class
Relative absolute error
0.1512 ± 0.0196
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.165 ± 0.0108
Root relative squared error
0.55 ± 0.0361
SciMark benchmark
1495.1153