DEVELOPMENT... OpenML
Run
16593

Run 16593

Task 23 (Supervised Classification) cmc Uploaded 04-06-2014 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)_I40
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
0.6867
Per class
F measure
0.5201
Per class
Kappa
0.2541
KB relative information score
261.3612
Mean absolute error
0.3842
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
0.5208
Per class
Predictive accuracy
0.5214
Prior entropy
1.5392
Recall
0.5214
Per class
Relative absolute error
0.8917
Root mean prior squared error
0.4641
Root mean squared error
0.4429
Root relative squared error
0.9543
SciMark benchmark
938.4583[567.41727621999961000.2362030636302477.4307645158636896.21881802907471750.9884544211457]