DEVELOPMENT... OpenML
Run
22132

Run 22132

Task 21 (Supervised Classification) car Uploaded 21-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I40
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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.

17 Evaluation measures

Area under ROC curve
0.9386
Per class
F measure
0.8385
Per class
Kappa
0.6458
KB relative information score
1229.8708
Mean absolute error
0.0717
Mean prior absolute error
0.229
Number of instances
1728
Per class
Precision
0.8371
Per class
Predictive accuracy
0.8403
Prior entropy
1.2099
Recall
0.8403
Per class
Relative absolute error
0.3131
Root mean prior squared error
0.3381
Root mean squared error
0.2269
Root relative squared error
0.6711