DEVELOPMENT... OpenML
Run
17742

Run 17742

Task 28 (Supervised Classification) optdigits Uploaded 09-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I80
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.9951
Per class
F measure
0.9822
Per class
Kappa
0.9802
KB relative information score
5517.3485
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
0.9823
Per class
Predictive accuracy
0.9822
Prior entropy
3.3218
Recall
0.9822
Per class
Relative absolute error
0.02
Root mean prior squared error
0.3
Root mean squared error
0.0585
Root relative squared error
0.1951
SciMark benchmark
940.6777[564.47918720052971013.3868112175512470.52664044102374904.56866745157771750.4274146326452]