DEVELOPMENT... OpenML
Run
17100

Run 17100

Task 7 (Supervised Classification) audiology Uploaded 06-06-2014 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)_I40
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
0.8702
Per class
F measure
0.7006
Per class
Kappa
0.6821
KB relative information score
135.9535
Mean absolute error
0.0231
Mean prior absolute error
0.0724
Number of instances
226
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.6881
Per class
Predictive accuracy
0.7301
Prior entropy
3.6349
Recall
0.7301
Per class
Relative absolute error
0.3195
Root mean prior squared error
0.1893
Root mean squared error
0.1481
Root relative squared error
0.7822
SciMark benchmark
926.1057[555.137066274869938.8331298643554477.2185884444444895.91254533681021763.4270385873465]