SalesForce Certified Public Sector Solutions Certified Public Sector Solutions 04 31Oct2024 - Practice Quiz

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Question 1 of 30

In a public sector organization, a machine learning model is being developed to predict the likelihood of project success based on various factors such as budget allocation, team experience, and project complexity. The model uses a dataset containing 1,000 historical projects, with features normalized to a range of 0 to 1. After training the model, the organization finds that the model\'s accuracy is 85%, but the precision for predicting successful projects is only 60%. If the organization wants to improve the precision to at least 75%, which of the following strategies would be most effective in achieving this goal?

Implementing a more complex model architecture, such as a deep learning neural network, to capture non-linear relationships in the data.

Increasing the size of the training dataset by including more historical projects, regardless of their success rates.

Adjusting the decision threshold used for classifying projects as successful or unsuccessful to favor higher precision.

Reducing the number of features in the model to eliminate noise and focus on the most impactful variables.

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