DEVELOPMENT... OpenML
Run
21999

Run 21999

Task 4 (Supervised Classification) labor Uploaded 21-06-2014 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)_I40
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
0.8912
Per class
F measure
0.8947
Per class
Kappa
0.7689
KB relative information score
42.002
Mean absolute error
0.1152
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8947
Per class
Predictive accuracy
0.8947
Prior entropy
0.9393
Recall
0.8947
Per class
Relative absolute error
0.2521
Root mean prior squared error
0.4773
Root mean squared error
0.3296
Root relative squared error
0.6905
SciMark benchmark
943.1928[556.37660137353131014.1867954103211477.0066008765347914.03067367712611754.3633351405556]