Today, our classmate Mahnoor delivered a presentation in which she shared her insights on the percentage of people shot in a particular county. She discussed patterns in the data, focusing on how these incidents have occurred continuously over a period of time. Her analysis provided valuable perspectives on trends and potential factors contributing to these occurrences.
I began experimenting with machine learning models to predict the likelihood of a suspect being armed. I used logistic regression and decision tree classifiers and evaluated their performance using accuracy and confusion matrices. I understood how feature selection and data balance affect model predictions. Although the accuracy wasn’t very high, the models gave interesting insights into which factors mattered most.