DEVELOPMENT... OpenML
Run
15521

Run 15521

Task 55 (Supervised Classification) vote Uploaded 04-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LMT(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LMT(1)_I-1
weka.LMT(1)_M15
weka.LMT(1)_W0.0
weka.MultiBoostAB_LMT(1)_C3
weka.MultiBoostAB_LMT(1)_I40
weka.MultiBoostAB_LMT(1)_P100
weka.MultiBoostAB_LMT(1)_S1
weka.MultiBoostAB_LMT(1)_Wweka.classifiers.trees.LMT

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
0.9648
Per class
F measure
0.9564
Per class
Kappa
0.9082
KB relative information score
393.7015
Mean absolute error
0.0439
Mean prior absolute error
0.4742
Number of instances
435
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9566
Per class
Predictive accuracy
0.9563
Prior entropy
0.9627
Recall
0.9563
Per class
Relative absolute error
0.0926
Root mean prior squared error
0.4869
Root mean squared error
0.2086
Root relative squared error
0.4284
SciMark benchmark
916.7601[556.3766013735313870.3500540290997481.71457151086304910.22226140528711765.136766288487]

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