DEVELOPMENT... OpenML
Run
16900

Run 16900

Task 21 (Supervised Classification) car Uploaded 05-06-2014 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)_I40
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
0.9859
Per class
F measure
0.9677
Per class
Kappa
0.9298
KB relative information score
1574.8209
Mean absolute error
0.0164
Mean prior absolute error
0.229
Number of instances
1728
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9682
Per class
Predictive accuracy
0.9676
Prior entropy
1.2099
Recall
0.9676
Per class
Relative absolute error
0.0715
Root mean prior squared error
0.3381
Root mean squared error
0.1256
Root relative squared error
0.3715
SciMark benchmark
943.7667[558.51447076490831014.7208839634673481.71457151086304906.13207810932491757.7512505720342]