If I am using all features of my dataset and I achieve 100% accuracy on my training set, but ~70% on validation set, what should I look out for ?
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Answered by
7
Answer:
If we’re achieving 100% training accuracy very easily, we need to check to verify if we’re overfitting our data.
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Overfitting is the answer.
Explanation:
- Overfitting occurs whilst a version learns the element and noise withinside the education statistics to the volume that it negatively affects the overall performance of the version on new statistics.
- In this approach that the noise or random fluctuations withinside the education statistics is picked up and found out as ideas through the version.
If we’re attaining 100% education accuracy very easily, we want to test to affirm if we’re overfitting our statistics.
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