MLS-C01 · Question #151
MLS-C01 Question #151: Real Exam Question with Answer & Explanation
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Question
A Machine Learning Specialist is training a model using a supervised learning algorithm. The Specialist split the dataset to use 80% of the data for training and reserved 20% of the data for testing. While evaluating the model the Specialist discovers that the mode is 97% accurate for the training dataset and 75% accurate for the test dataset. What is the reason for the discrepancy and what action should the Specialist take?
Options
- AThe high accuracy for the larger amount of training data means that the model is finished.
- BThe mode is currently overfitting the training data and not performing as well as it should on data
- CAdditional data in the test set is needed to balance the scoring of the model.
- DThe mode is currently underfitting and does not have enough complexity to capture the full scope
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