Why do I have different values of class recall for the same data sets?

BarborkaBarborka Member Posts: 8 Learner I
I tried automodel for my data set, lets call it DS1. The results were quite good. When I used the same approach for the same data set, but, the data were expressed in codes, not the whole words, the results were dramatically lower. In both cases, I set them as polynomials. Could you explain me, why and what to change? Thank you?

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    sara20sara20 Member Posts: 110 Unicorn


    From my understanding there are some reasons:

    1. Maybe it is because of cross validation or split data
    2. It can be for the data ( unbalance data set with different numbers of each label)
    3. Different algorithms can change the result

    I hope this helps
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    BarborkaBarborka Member Posts: 8 Learner I
    Hi Sarah,

    it just does not make me sense. If I replace the words with numbers and deal them as polynomials, and use the same algorithm, the results should be the same.

    For example, I have obtained different results even when I used the same data sheet, but once, I used the German punctuation and then, I replaced the special characters with basic characters. The results of automodel were different.
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