100 accuracy recall and precious

fatimidveil
fatimidveil New Altair Community Member
edited November 2024 in Community Q&A
i have apply ide algorithm on my data set and got 100 accuracy precious and recall . is my data set and algorithm in fine ?
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Answers

  • varunm1
    varunm1 New Altair Community Member
    Hello @fatimidveil

    100% accuracy is something one should be very careful about. You need to check a few things listed below.

    1. Label leakage: If your data set is time-dependent (temporal characters), using regular validation methods like cross-validation is not recommended. 
    2. Highly correlated column: If your dataset has an attribute that replicates output, then there is a chance of getting 100% accuracy.
    3. Validation Type: If you are using something like a split validation, there is a chance that you might get very high random performance.
    4. Size of a dataset: If your dataset is too small and you have a very small test set, then you can get very high performance by chance.

    These are some points in my mind right now, will update if I get more.
  • fatimidveil
    fatimidveil New Altair Community Member
    hi everyone,as you mention above. My data set consist of 1150 entities and i have one attribute that is highly correlated with my class attritube ..
    what should i do know .?
    i have apply three algorithm on my data set id3,cart and c4.5 
    so how i calculate with one is perform better than other ?

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