DEVELOPMENT... OpenML
Run
22790

Run 22790

Task 9 (Supervised Classification) autos Uploaded 22-06-2014 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
0.9495
Per class
F measure
0.8142
Per class
Kappa
0.7577
KB relative information score
157.8697
Mean absolute error
0.0528
Mean prior absolute error
0.2209
Number of instances
205
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8198
Per class
Predictive accuracy
0.8146
Prior entropy
2.3268
Recall
0.8146
Per class
Relative absolute error
0.2389
Root mean prior squared error
0.3318
Root mean squared error
0.2237
Root relative squared error
0.6743
SciMark benchmark
914.0536[538.01375218577771015.52310425331432.26321981324605886.82007169656771697.6479081073383]