ABC University Intro to Data Mining Discussion

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Discuss the major issues in classification model overfitting. Give some examples to illustrate your points.

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Running head: INTRODUCTION TO DATA MINING

Overfitting
Your name
Institution

1

INTRODUCTION TO DATA MINING

2
Overfitting

There are is one main mistake performed by data science beginners without their
knowledge and the mistake can singly harm the machine learning model. This is one of the
trickiest obstacles easily encountered in applied machine learning: overfitting. For instance, a
prediction model can be developed to evaluate if a student will get employed as per the resume
made. In this case, if a trained model of say 8,000 resumes and the possible outcomes are
developed and roll out the model to perform the test on the original data only to give 99%
accuracy. This indeed can be so worthy of celebrating. But the contrary news would be if the
model is made to run on a (“unseen”) resume data only to get 50%. That c...


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