DEVELOPMENT... OpenML
Run
24862

Run 24862

Task 28 (Supervised Classification) optdigits Uploaded 18-07-2014 by Felicia West
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Flow

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I40
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

19 Evaluation measures

Area under ROC curve
0.9912
Per class
F measure
0.9818
Per class
Kappa
0.9798
KB relative information score
5514.1657
Mean absolute error
0.0036
Mean prior absolute error
0.18
Number of instances
5620
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9819
Per class
Predictive accuracy
0.9819
Prior entropy
3.3218
Recall
0.9819
Per class
Relative absolute error
0.0202
Root mean prior squared error
0.3
Root mean squared error
0.0599
Root relative squared error
0.1996
SciMark benchmark
634.5478[371.43113355210164908.084367131182267.36597400041387582.02490424931371043.8328487645722]