DEVELOPMENT... OpenML
Run
21592

Run 21592

Task 51 (Supervised Classification) trains Uploaded 19-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_OneR(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_OneR(1)_C3
weka.MultiBoostAB_OneR(1)_I160
weka.MultiBoostAB_OneR(1)_P100
weka.MultiBoostAB_OneR(1)_S1
weka.MultiBoostAB_OneR(1)_Wweka.classifiers.rules.OneR
weka.OneR(1)_B6

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
0.46
Per class
F measure
0.4949
Per class
KB relative information score
-0.7157
Mean absolute error
0.5391
Mean prior absolute error
0.5
Number of instances
10
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5
Per class
Predictive accuracy
0.5
Prior entropy
1
Recall
0.5
Per class
Relative absolute error
1.0782
Root mean prior squared error
0.5
Root mean squared error
0.7178
Root relative squared error
1.4357
SciMark benchmark
924.0391[551.9749127293314982.1381222342922474.267552947349886.82000016937721724.9947960085244]