DEVELOPMENT... OpenML
Run
22826

Run 22826

Task 14 (Supervised Classification) mfeat-fourier Uploaded 22-06-2014 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)_I10
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
0.8214
Per class
F measure
0.6778
Per class
Kappa
0.6428
KB relative information score
1327.5779
Mean absolute error
0.0643
Mean prior absolute error
0.18
Number of instances
2000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.678
Per class
Predictive accuracy
0.6785
Prior entropy
3.3219
Recall
0.6785
Per class
Relative absolute error
0.3572
Root mean prior squared error
0.3
Root mean squared error
0.2536
Root relative squared error
0.8452
SciMark benchmark
910.245[553.9030000092794889.2270229875808476.16042993692383896.52530019499931735.409475054334]