This study analyzes homicide data in the United States from 1980 to 2014 using machine learning techniques to predict crime resolution and classify victim gender. The dataset, obtained from the FBI Supplementary Homicide Report, contains 638,454 records. Data preprocessing involved cleaning, converting categorical features to numerical values, and addressing class imbalance using Synthetic Minority Oversampling Technique (SMOTE). Various classification algorithms were applied, including Decision Tree and Naïve Bayes. The results showed that the Decision Tree model achieved 95% accuracy in predicting crime resolution and 85% accuracy in classifying victim gender, while Naïve Bayes reached 92% accuracy in crime resolution prediction. The findings highlight the effectiveness of machine learning in crime pattern analysis and prediction, aiding law enforcement in making more informed investigative decisions.
Artificial intelligence (AI) and ChatGPT-4 have versatile applications in both school children's education and university settings. Chat GPT-4 can be a valuable assistant for teachers in various ways. The model can utilize its comprehensive knowledge to provide additional information and concepts in diverse fields to help explain difficult topics. It can also provide extra exercises and questions to assist students in practicing and reinforcing their skills. With its predictive and linguistic generation capabilities, Chat GPT-4 can also offer review and editing for students' essays and research papers, aiming to improve the quality of their writing and expression. It can also guide students in the research process and the collection of reliable sources. Furthermore, the model can provide individual support by answering students' questions and guiding them through the learning process. It can also be used to create simulations and educational scenarios to enhance students' understanding and application of theoretical concepts in realistic contexts. It is worth mentioning that the model relies on the inputs it receives, so the teacher needs to play an active role in guiding and clarifying the ideas and information provided by the model, as well as in evaluating and monitoring students' progress.