Hi,
I have a training dataset which has two columns which has around 70 values.
1. "PNRNo" whose values like UT768G, CXKA, 4IOI59, 4BV7TW...(typical PNR
number patterns)
2. I have created one more factor variable mentioning (IsPNR) - so all
the values are 1 (true)
My first objective is to create a model on this training set which would
recognize the text pattern.
Second objective: The model would then be used to predict IsPNR with new set
of test values like "Anshuk", "4EL58S"...as 0 and 1...
Which model would be best for recognizing such kind of pattern and having
decent accuracy? I tried naiveBayes, but I don't think it is all doing a good
job. Its predicting all the test values as true. I suppose bayes is not meant
for this.
Regards,
Anshuk Pal Chaudhuri
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