DEVELOPMENT... OpenML
Run
19756

Run 19756

Task 2 (Supervised Classification) anneal Uploaded 16-06-2014 by Felicia West
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Flow

weka.MultiBoostAB_LWL_DecisionStump(1)Geoffrey I. Webb (2000). MultiBoosting: A Technique for Combining Boosting and Wagging. Machine Learning. Vol.40(No.2).
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump
weka.MultiBoostAB_LWL_DecisionStump(1)_C3
weka.MultiBoostAB_LWL_DecisionStump(1)_I160
weka.MultiBoostAB_LWL_DecisionStump(1)_P100
weka.MultiBoostAB_LWL_DecisionStump(1)_S1
weka.MultiBoostAB_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL

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.

17 Evaluation measures

Area under ROC curve
0.9965
Per class
F measure
0.9786
Per class
Kappa
0.9466
KB relative information score
826.4661
Mean absolute error
0.0091
Mean prior absolute error
0.1343
Number of instances
898
Per class
Precision
0.9787
Per class
Predictive accuracy
0.9788
Prior entropy
1.2149
Recall
0.9788
Per class
Relative absolute error
0.0675
Root mean prior squared error
0.2582
Root mean squared error
0.0753
Root relative squared error
0.2915