DEVELOPMENT... OpenML
Run
22915

Run 22915

Task 3 (Supervised Classification) kr-vs-kp Uploaded 23-06-2014 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)_I40
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
0.948
Per class
F measure
0.9478
Per class
Kappa
0.8953
KB relative information score
2860.2863
Mean absolute error
0.0524
Mean prior absolute error
0.499
Number of instances
3196
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.9478
Per class
Predictive accuracy
0.9477
Prior entropy
0.9986
Recall
0.9477
Per class
Relative absolute error
0.105
Root mean prior squared error
0.4995
Root mean squared error
0.2284
Root relative squared error
0.4573
SciMark benchmark
942.6006[557.26540226468411013.1204302006943473.6399836662232908.95983339136731760.017229859821]