DEVELOPMENT... OpenML
Run
20938

Run 20938

Task 42 (Supervised Classification) haberman Uploaded 18-06-2014 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)_I80
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
0.6101
Per class
F measure
0.6467
Per class
Kappa
0.0708
KB relative information score
15.64
Mean absolute error
0.3337
Mean prior absolute error
0.39
Number of instances
306
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6387
Per class
Predictive accuracy
0.6569
Prior entropy
0.836
Recall
0.6569
Per class
Relative absolute error
0.8558
Root mean prior squared error
0.4412
Root mean squared error
0.5688
Root relative squared error
1.2894
SciMark benchmark
939.227[570.01329170471311015.7906865781697483.0148066605872916.90802019261121710.4081426799883]