DEVELOPMENT... OpenML
Run
19067

Run 19067

Task 55 (Supervised Classification) vote Uploaded 12-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_BFTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.BFTree(1)_Ctrue
weka.BFTree(1)_M2
weka.BFTree(1)_N5
weka.BFTree(1)_PPOSTPRUNED
weka.BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_C3
weka.MultiBoostAB_BFTree(1)_I10
weka.MultiBoostAB_BFTree(1)_P100
weka.MultiBoostAB_BFTree(1)_S1
weka.MultiBoostAB_BFTree(1)_Wweka.classifiers.trees.BFTree

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
0.9739
Per class
F measure
0.9472
Per class
Kappa
0.8886
KB relative information score
386.9972
Mean absolute error
0.0506
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9472
Per class
Predictive accuracy
0.9471
Prior entropy
0.9627
Recall
0.9471
Per class
Relative absolute error
0.1066
Root mean prior squared error
0.4869
Root mean squared error
0.2194
Root relative squared error
0.4506
SciMark benchmark
944.7349[563.93163340417231013.1203667026068483.2321174670136909.59057174132591753.799996626104]