Intelligent method of predicting crime rate using novel convolutional neural network algorithm in comparison with linear regression algorithm to improve accuracy

Through the application of this study, the objective is to create a unique convolutional neural network (CNN) algorithm that is capable of forecasting crime rates with greater precision than the LR technique. Materials and Methods of Procedure: Between the two groups, there are a total of twenty samples that are distributed evenly. We distributed ten samples to each individual. In the first group, the Novel CNN technique is utilised, whereas in the second group, the LR algorithm is utilised. Results: When contrasted with the LR algorithm, the accuracy rate of the Novel CNN is 87 percent greater (83 percent ). The T-test with independent samples was utilised in order to determine whether or not the hypothesis was accurate. There is a significant value of p=0.004 (p