DEVELOPMENT... OpenML
Run
19337

Run 19337

Task 16 (Supervised Classification) mfeat-karhunen Uploaded 12-06-2014 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
0.85
Per class
F measure
0.7309
Per class
Kappa
0.7
KB relative information score
1435.291
Mean absolute error
0.054
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.733
Per class
Predictive accuracy
0.73
Prior entropy
3.3219
Recall
0.73
Per class
Relative absolute error
0.3
Root mean prior squared error
0.3
Root mean squared error
0.2324
Root relative squared error
0.7746
SciMark benchmark
941.5162[561.0294815668511012.8541257252805478.7078954039208898.36875100120691756.6205822745662]