DEVELOPMENT... OpenML
Run
15729

Run 15729

Task 2 (Supervised Classification) anneal 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)_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
0.9471
Per class
F measure
0.951
Per class
Kappa
0.8775
KB relative information score
773.5953
Mean absolute error
0.016
Mean prior absolute error
0.1343
Number of instances
898
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.951
Per class
Predictive accuracy
0.951
Prior entropy
1.2149
Recall
0.951
Per class
Relative absolute error
0.1194
Root mean prior squared error
0.2582
Root mean squared error
0.1247
Root relative squared error
0.4829
SciMark benchmark
941.5757[550.40728600235831010.9942233373424479.5631527489585905.19339878208931761.7203488120049]