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IR 2009/2010 Weka Experiments Niek de Moel
Aproach 1/2 Create basics Amount of documents for testing (500/1000/2000/4000/8000/1600/full) Define min & max document frequentie “How to select key attributes/features? Best predictor?”
Aproach 2/2 Testing Using cross validation. Data: F-Measure (precission / recall) ROC (Receiver operating characteristic) TP vs FP Classifier errors Correctly VS Incorrectly Classified Instances
Results so far Test corpus size does matter in speed, not in results. Min document freq 1-10: No pattern.. Around 35 for corpus 500. Still working on this. Classifying nova- 2 vandaag – netwerk is difficult (lot’s of simularities). Proceeding:  ,[object Object]

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