I have a scenario where my hypothesis fits my training set well but fails to generalize for test set. What is this scenario called ?
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In such a scenario where your hypothesis fails the test set, its because in the test set, there are some other observations that were not included in your training set. Training set should cover all those observations where a hypothesis is to be tested so that it passes the test sets. Hypothesis is just a statement and It can be proven wrong or right via experimentation.
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Answer:
overfitting is the answer
Explanation:
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