DEVELOPMENT... OpenML
Run
48523

Run 48523

Task 1727 (Learning Curve) optdigits Uploaded 05-11-2014 by Jason
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  • curves study_2 study_37 weka weka_3.7.12-SNAPSHOT
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Flow

weka.AdaBoostM1_IBk(2)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_IBk(2)_I10
weka.AdaBoostM1_IBk(2)_P100
weka.AdaBoostM1_IBk(2)_S1
weka.AdaBoostM1_IBk(2)_Wweka.classifiers.lazy.IBk
weka.IBk(2)_Atrue
weka.IBk(2)_K1
weka.IBk(2)_W0

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
0.9928 ± 0.0027
Per class
Build CPU time
0.8555
Build memory
1229400690.6857
F measure
0.987 ± 0.0049
Per class
Kappa
0.9856 ± 0.0054
KB relative information score
0.9856 ± 0.0051
Mean absolute error
0.0029 ± 0.001
Mean prior absolute error
0.18 ± 0
Number of instances
5620
Per class
OS information
[Oracle Corporation, 1.7.0_65, amd64, Linux, 3.5.0-54-generic]
Precision
0.9871 ± 0.0048
Per class
Predictive accuracy
0.987 ± 0.0049
Prior entropy
3.3218 ± 0.0001
Recall
0.987 ± 0.0049
Per class
Relative absolute error
0.0164 ± 0.0054
Root mean prior squared error
0.3 ± 0
Root mean squared error
0.0509 ± 0.0112
Root relative squared error
0.1697 ± 0.0375
SciMark benchmark
1932.1045