DEVELOPMENT... OpenML
Run
20009

Run 20009

Task 4 (Supervised Classification) labor Uploaded 18-06-2014 by Felicia West
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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)_I20
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
0.8986
Per class
F measure
0.8934
Per class
Kappa
0.7635
KB relative information score
43.5484
Mean absolute error
0.1012
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8944
Per class
Predictive accuracy
0.8947
Prior entropy
0.9393
Recall
0.8947
Per class
Relative absolute error
0.2213
Root mean prior squared error
0.4773
Root mean squared error
0.3116
Root relative squared error
0.6529
SciMark benchmark
859.9449[532.2675210240199962.0344422444904457.10593208272644848.36248311182381499.954211671911]