DEVELOPMENT... OpenML
Run
20859

Run 20859

Task 4 (Supervised Classification) labor Uploaded 18-06-2014 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
0.8959
Per class
F measure
0.9117
Per class
Kappa
0.8052
KB relative information score
45.4251
Mean absolute error
0.0877
Mean prior absolute error
0.457
Number of instances
57
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9118
Per class
Predictive accuracy
0.9123
Prior entropy
0.9393
Recall
0.9123
Per class
Relative absolute error
0.1919
Root mean prior squared error
0.4773
Root mean squared error
0.2962
Root relative squared error
0.6206
SciMark benchmark
947.6563[571.50740951456981014.9881711071126484.7593072718849909.27509318503251757.751385454742]