DEVELOPMENT... OpenML
Run
23328

Run 23328

Task 32 (Supervised Classification) pendigits Uploaded 24-06-2014 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)_I160
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
0.998
Per class
F measure
0.9925
Per class
Kappa
0.9917
KB relative information score
10909.0847
Mean absolute error
0.0015
Mean prior absolute error
0.18
Number of instances
10992
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9925
Per class
Predictive accuracy
0.9925
Prior entropy
3.3208
Recall
0.9925
Per class
Relative absolute error
0.0084
Root mean prior squared error
0.3
Root mean squared error
0.0374
Root relative squared error
0.1247
SciMark benchmark
923.0028[544.22486162903641002.0566978573177479.1350914427734891.94967573043971697.6479081073383]