DEVELOPMENT... OpenML
Run
15590

Run 15590

Task 28 (Supervised Classification) optdigits Uploaded 04-06-2014 by Felicia West
0 likes downloaded by 0 people 0 issues 0 downvotes , 0 total downloads
Issue #Downvotes for this reason By


Flow

weka.MultiBoostAB_J48(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.J48(1)_C0.25
weka.J48(1)_M2
weka.MultiBoostAB_J48(1)_C3
weka.MultiBoostAB_J48(1)_I80
weka.MultiBoostAB_J48(1)_P100
weka.MultiBoostAB_J48(1)_S1
weka.MultiBoostAB_J48(1)_Wweka.classifiers.trees.J48

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
0.9934
Per class
F measure
0.9852
Per class
Kappa
0.9836
KB relative information score
5534.0972
Mean absolute error
0.0029
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
0.9853
Per class
Predictive accuracy
0.9852
Prior entropy
3.3218
Recall
0.9852
Per class
Relative absolute error
0.0164
Root mean prior squared error
0.3
Root mean squared error
0.0539
Root relative squared error
0.1797
SciMark benchmark
946.1307[562.11430287262971014.9881711071126484.3219757802961908.64471704177161760.5845701777503]