DEVELOPMENT... OpenML
Run
16469

Run 16469

Task 7 (Supervised Classification) audiology Uploaded 04-06-2014 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
0.8614
Per class
F measure
0.6975
Per class
Kappa
0.6781
KB relative information score
136.4281
Mean absolute error
0.023
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
0.6865
Per class
Predictive accuracy
0.7257
Prior entropy
3.6349
Recall
0.7257
Per class
Relative absolute error
0.3172
Root mean prior squared error
0.1893
Root mean squared error
0.1484
Root relative squared error
0.7839
SciMark benchmark
945.2261[559.94883937717861014.9881711071126484.10363182779514907.07263143401181760.017229859821]