University | Singapore Institute of Technology (SIT) |
Subject | Artificial Intelligence |
Question 1
You have been hired by the Sports Company to build a model that predicts the amount of oxygen that an athlete consumes when performing an intense physical workout. The dataset is provided as follows:
- Identify the feature (or features) which is/are irrelevant.
- The regression model is
Calculate the prediction OXY. Show at least one calculation to obtain the prediction OXY. Complete your answer in c)
- Calculate the sum of squared errors for the set of predictions generated in b)
Question 2
By using logistic regression, build a machine learning model to classify if different dosages of two drugs would cause a dangerous interaction or safe interaction. Dose 1 and Dose 2 have been normalized to range (-1, 1). The slope coefficient and intercept of the decision boundary is given as follows:
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