DEVELOPMENT... OpenML
Run
24639

Run 24639

Task 39 (Supervised Classification) sonar Uploaded 14-07-2014 by Felicia West
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Flow

weka.MultiBoostAB_REPTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_REPTree(1)_C3
weka.MultiBoostAB_REPTree(1)_I10
weka.MultiBoostAB_REPTree(1)_P100
weka.MultiBoostAB_REPTree(1)_S1
weka.MultiBoostAB_REPTree(1)_Wweka.classifiers.trees.REPTree
weka.REPTree(1)_I0.0
weka.REPTree(1)_L-1
weka.REPTree(1)_M2
weka.REPTree(1)_N3
weka.REPTree(1)_S1
weka.REPTree(1)_V0.001

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
0.8721
Per class
F measure
0.7772
Per class
Kappa
0.5522
KB relative information score
119.0581
Mean absolute error
0.2123
Mean prior absolute error
0.4978
Number of instances
208
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.7809
Per class
Predictive accuracy
0.7788
Prior entropy
0.9968
Recall
0.7788
Per class
Relative absolute error
0.4265
Root mean prior squared error
0.4989
Root mean squared error
0.4236
Root relative squared error
0.8491
SciMark benchmark
593.4056[344.1674291692487891.2834635527752243.25822737843032526.8167380274197961.5023764764358]