Both models could be considered for supporting the police divisions on decision making and prevention strategy. In this case study, K-NN model is better approach to be used for the prediction and classification of crime type if compared with multinomial logistic regression. In the testing data phase, the average of accuracy levels of multinomial logistic regression and K-NN are 66.81% and 73.86%, respectively. The results indicate that the crime type was influenced by employment status (unemployed persons) and time occurring (daytime) for both years periods. The secondary crime data was collected from 2019 (pre-pandemic) and 2020 (during a pandemic) in the police office of Payakumbuh Region, West Sumatra, Indonesia. While both are powerful models for classification purposes. In this paper, we are interested to classify crime type using some independent variables using multinomial logistic regression and K-Nearest Neighbor (K-NN) models. However, this model is not much capable for categorical response variables such as crime type. While modeling crime rates was widely approached using the ordinary regression model. Statistically, relationship between factors could be measured and formed using regression models. There are common factors that characterize individuals who commit crime. This job will assist individuals to become aware of the crime area and discover their secure way to the destination. Finally, to find out our safe route, we use the forecast rate. By analyzing the data, we find out for many places the prediction rate of different crimes and use the algorithm to determine the prediction rate of the path. For our job, we are using main and secondary data. Is it really secure or not that’s why we face many unpleasant circumstances in this job, we use different clustering approaches of data mining to analyze the crime rate of Bangladesh and we also use K-nearest neighbor (KNN) algorithm to train our dataset. In general, we see that when we need to go anywhere at first, we are searching for Google Maps Google Maps show one, two, or more ways to get to the destination, but we always choose the shortcut route, but we do not understand the path situation correctly. We have to go many places regularly for our daily purposes, and many times in our everyday lives we face numerous safety problems such as hijack, kidnapping, and harassment. In a number of respects cost our community profoundly. Analysis of crime is a methodological approach to the identification and assessment of criminal patterns and trends.
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