DEVELOPMENT... OpenML
Run
16322

Run 16322

Task 4 (Supervised Classification) labor Uploaded 04-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_RandomTree(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.MultiBoostAB_RandomTree(1)_C3
weka.MultiBoostAB_RandomTree(1)_I20
weka.MultiBoostAB_RandomTree(1)_P100
weka.MultiBoostAB_RandomTree(1)_S1
weka.MultiBoostAB_RandomTree(1)_Wweka.classifiers.trees.RandomTree
weka.RandomTree(1)_K0
weka.RandomTree(1)_M1.0
weka.RandomTree(1)_S1

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
0.9149
Per class
F measure
0.8746
Per class
Kappa
0.7208
KB relative information score
37.8337
Mean absolute error
0.1542
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
0.8776
Per class
Predictive accuracy
0.8772
Prior entropy
0.9393
Recall
0.8772
Per class
Relative absolute error
0.3375
Root mean prior squared error
0.4773
Root mean squared error
0.309
Root relative squared error
0.6473
SciMark benchmark
928.7599[566.8640103967047915.4180477623687484.3219757802961911.48812543402991765.707548606275]