A Data Scientist Is Developing a Machine Learning Model to Predict

question 95

Multiple Choice

A Data Scientist is developing a machine learning model to predict future patient outcomes based on information collected about each patient and their treatment plans. The model should output a continuous value as its prediction. The data available includes labeled outcomes for a set of 4,000 patients. The study was conducted on a group of individuals over the age of 65 who have a particular disease that is known to worsen with age. Initial models have performed poorly. While reviewing the underlying data, the Data Scientist notices that, out of 4,000 patient observations, there are 450 where the patient age has been input as 0. The other features for these observations appear normal compared to the rest of the sample population How should the Data Scientist correct this issue?

• A) Drop all records from the dataset where age has been set to 0.
• B) Replace the age field value for records with a value of 0 with the mean or median value from the dataset
• C) Drop the age feature from the dataset and train the model using the rest of the features.
• D) Use k-means clustering to handle missing features

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Definitions:

Indifference Curve

A graph representing different bundles of goods between which a consumer is indifferent, showing the trade-offs or substitutions a consumer is willing to make.

Midterm Grade

An academic performance indicator, usually given halfway through a course, reflecting a student's progress and achievements to that point.

Horizontal Axis

In a graph or chart, the x-axis, which typically represents the independent variable or the variable that is controlled or manipulated.

Indifference Curves

Graphical representations showing different combinations of two goods that give a consumer equal satisfaction and utility.