DEVELOPMENT... OpenML
Run
21461

Run 21461

Task 53 (Supervised Classification) vehicle Uploaded 19-06-2014 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)_I10
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.

19 Evaluation measures

Area under ROC curve
0.7835
Per class
F measure
0.6779
Per class
Kappa
0.568
KB relative information score
515.9154
Mean absolute error
0.1619
Mean prior absolute error
0.3748
Number of instances
846
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6809
Per class
Predictive accuracy
0.6761
Prior entropy
1.9991
Recall
0.6761
Per class
Relative absolute error
0.432
Root mean prior squared error
0.4329
Root mean squared error
0.4024
Root relative squared error
0.9295
SciMark benchmark
941.0183[551.10285296358481010.4640495393572473.84898880647887907.38665814554741762.2889234168845]