DEVELOPMENT... OpenML
Run
23800

Run 23800

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 27-06-2014 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)_I20
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
0.4193
Per class
F measure
0.5692
Per class
Kappa
-0.0753
KB relative information score
5.9195
Mean absolute error
0.2452
Mean prior absolute error
0.2871
Number of instances
90
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5274
Per class
Predictive accuracy
0.6333
Prior entropy
1.0305
Recall
0.6333
Per class
Relative absolute error
0.8543
Root mean prior squared error
0.3755
Root mean squared error
0.4747
Root relative squared error
1.2643
SciMark benchmark
939.2938[554.60752005669281011.2594872886406475.10695365338415903.94479785969181751.5501218345944]