DEVELOPMENT... OpenML
Run
22455

Run 22455

Task 55 (Supervised Classification) vote Uploaded 21-06-2014 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)_I10
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
0.9762
Per class
F measure
0.9564
Per class
Kappa
0.9084
KB relative information score
392.246
Mean absolute error
0.0455
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9568
Per class
Predictive accuracy
0.9563
Prior entropy
0.9627
Recall
0.9563
Per class
Relative absolute error
0.096
Root mean prior squared error
0.4869
Root mean squared error
0.2078
Root relative squared error
0.4269
SciMark benchmark
936.1831[561.3906374865355989.9588726891902480.85168147774846903.32186243855711745.3925929109241]