DEVELOPMENT... OpenML
Run
17847

Run 17847

Task 23 (Supervised Classification) cmc Uploaded 09-06-2014 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)_I80
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
0.6914
Per class
F measure
0.5168
Per class
Kappa
0.2491
KB relative information score
246.8865
Mean absolute error
0.3887
Mean prior absolute error
0.4308
Number of instances
1473
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.517
Per class
Predictive accuracy
0.5187
Prior entropy
1.5392
Recall
0.5187
Per class
Relative absolute error
0.9023
Root mean prior squared error
0.4641
Root mean squared error
0.4406
Root relative squared error
0.9492
SciMark benchmark
945.5005[564.84475602395331014.1868590421574483.88543266528814910.22226140528711754.3633351405556]