DEVELOPMENT... OpenML
Run
22108

Run 22108

Task 34 (Supervised Classification) postoperative-patient-data Uploaded 21-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I80
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.4822
Per class
F measure
0.5355
Per class
Kappa
-0.1633
KB relative information score
-4.1037
Mean absolute error
0.2789
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
0.5013
Per class
Predictive accuracy
0.5778
Prior entropy
1.0305
Recall
0.5778
Per class
Relative absolute error
0.9718
Root mean prior squared error
0.3755
Root mean squared error
0.5259
Root relative squared error
1.4006
SciMark benchmark
942.1434[559.9488393771786999.1988959772265482.14720472367435910.53832226537881758.8835103978397]

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