DEVELOPMENT... OpenML
Run
18188

Run 18188

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 10-06-2014 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
0.3951
Per class
F measure
0.5731
Per class
Kappa
-0.0714
KB relative information score
0.11
Mean absolute error
0.266
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
0.5464
Per class
Predictive accuracy
0.6111
Prior entropy
1.0305
Recall
0.6111
Per class
Relative absolute error
0.9268
Root mean prior squared error
0.3755
Root mean squared error
0.4965
Root relative squared error
1.3222
SciMark benchmark
937.6553[564.47914364638121012.5880246437401447.9523532241756908.32981910425011754.9271701211055]