DEVELOPMENT... OpenML
Run
65163

Run 65163

Task 1727 (Learning Curve) optdigits Uploaded 20-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.MultiBoostAB_JRip(2)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.JRip(2)_F3
weka.JRip(2)_N2.0
weka.JRip(2)_O2
weka.JRip(2)_S1
weka.MultiBoostAB_JRip(2)_C3
weka.MultiBoostAB_JRip(2)_P100
weka.MultiBoostAB_JRip(2)_S1
weka.MultiBoostAB_JRip(2)_I10
weka.MultiBoostAB_JRip(2)_Wweka.classifiers.rules.JRip

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
0.9948 ± 0.0027
Per class
Build CPU time
12.0519
Build memory
4020852450.5714
F measure
0.9745 ± 0.0075
Per class
Kappa
0.9715 ± 0.0085
KB relative information score
0.975 ± 0.008
Mean absolute error
0.0051 ± 0.0015
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
0.9748 ± 0.0071
Per class
Predictive accuracy
0.9744 ± 0.0076
Prior entropy
3.3218 ± 0.0001
Recall
0.9744 ± 0.0076
Per class
Relative absolute error
0.0284 ± 0.0086
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0677 ± 0.0119
Root relative squared error
0.2256 ± 0.0396
SciMark benchmark
1605.1864