DEVELOPMENT... OpenML
Run
19634

Run 19634

Task 11 (Supervised Classification) balance-scale Uploaded 16-06-2014 by Felicia West
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weka.AdaBoostM1_LWL_DecisionStump(1)Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996.
weka.AdaBoostM1_LWL_DecisionStump(1)_I80
weka.AdaBoostM1_LWL_DecisionStump(1)_P100
weka.AdaBoostM1_LWL_DecisionStump(1)_S1
weka.AdaBoostM1_LWL_DecisionStump(1)_Wweka.classifiers.lazy.LWL
weka.LWL_DecisionStump(1)_Atrue
weka.LWL_DecisionStump(1)_K-1
weka.LWL_DecisionStump(1)_U0
weka.LWL_DecisionStump(1)_Wweka.classifiers.trees.DecisionStump

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
0.7678
Per class
F measure
0.6138
Per class
Kappa
0.3323
KB relative information score
126.0677
Mean absolute error
0.3246
Mean prior absolute error
0.3798
Number of instances
625
Per class
OS information
[Sun Microsystems Inc., 1.6.0_20, amd64, Linux, 2.6.35.14-106.fc14.x86_64]
Precision
0.5902
Per class
Predictive accuracy
0.64
Prior entropy
1.3212
Recall
0.64
Per class
Relative absolute error
0.8546
Root mean prior squared error
0.4356
Root mean squared error
0.3905
Root relative squared error
0.8964
SciMark benchmark
917.6651[556.02186590270571013.919993711725483.2321174670136898.06093401596671637.090344585842]