DEVELOPMENT... OpenML
Run
24822

Run 24822

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)_I160
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
0.9833
Per class
Kappa
0.9814
KB relative information score
5522.0592
Mean absolute error
0.0033
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
0.9833
Per class
Predictive accuracy
0.9833
Prior entropy
3.3218
Recall
0.9833
Per class
Relative absolute error
0.0185
Root mean prior squared error
0.3
Root mean squared error
0.0577
Root relative squared error
0.1924
SciMark benchmark
949.6474[569.45499857552561015.5230404536866484.54051677983614912.43991219425081766.2785639901995]