DEVELOPMENT... OpenML
Run
21399

Run 21399

Task 6 (Supervised Classification) letter Uploaded 19-06-2014 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
0.9292
Per class
F measure
0.8639
Per class
Kappa
0.8584
KB relative information score
17242.5355
Mean absolute error
0.0105
Mean prior absolute error
0.074
Number of instances
20000
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.8641
Per class
Predictive accuracy
0.8639
Prior entropy
4.6998
Recall
0.8639
Per class
Relative absolute error
0.1416
Root mean prior squared error
0.1923
Root mean squared error
0.1023
Root relative squared error
0.5322
SciMark benchmark
934.7803[545.5867236500701987.9287345265587470.52664044102374909.2750179897271760.5845701777503]