second_assignment_v7

<p>Campaign organizers for different parties in Norway are interested in identifying individual undecided voters who would consider voting for their party in an upcoming election. A nonpartisan group has collected data on a sample of voters with tracked demographic variables. This workflow documents the application of machine learning classification techniques to predict voter decision status and provides recommendations for campaign targeting strategies.</p><p>This analysis addresses four key objectives: (1) identification and handling of missing values, (2) training and comparison of multiple classification models, (3) prediction and interpretation for a specific voter profile, and (4) assessment of potential machine learning biases throughout the classification process.</p>

Campaign organizers for different parties in Norway are interested in identifying individual undecided voters who would consider voting for their party in an upcoming election. A nonpartisan group has collected data on a sample of voters with tracked demographic variables. This workflow documents the application of machine learning classification techniques to predict voter decision status and provides recommendations for campaign targeting strategies.

This analysis addresses four key objectives: (1) identification and handling of missing values, (2) training and comparison of multiple classification models, (3) prediction and interpretation for a specific voter profile, and (4) assessment of potential machine learning biases throughout the classification process.

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