DEVELOPMENT... OpenML
Run
23226

Run 23226

Task 47 (Supervised Classification) tae Uploaded 24-06-2014 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)_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
0.8007
Per class
F measure
0.6703
Per class
Kappa
0.5028
KB relative information score
76.252
Mean absolute error
0.2478
Mean prior absolute error
0.4443
Number of instances
151
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6744
Per class
Predictive accuracy
0.6689
Prior entropy
1.5845
Recall
0.6689
Per class
Relative absolute error
0.5577
Root mean prior squared error
0.4713
Root mean squared error
0.4191
Root relative squared error
0.8891
SciMark benchmark
933.7557[531.29474384814411009.1411391007196471.97440834681885894.07915072242371762.2889234168845]