An Approach Towards Development of a Predictive Model for Female Kidnapping in India Using R Programming

The major concern of the present world is the increase in criminal activities that are taking place throughout the world. The criminal activities in today’s world include murder, theft, rape, women exploitation, human trafficking, possession of illegal properties, kidnapping. This paper summarizes the criminal activities related to female kidnapping in India. This paper highlights the statistical analysis of female kidnapping in India and thereby develops a predictive model to envisage the purpose of kidnapping of an individual female based on certain parameters. The model is developed using the decision tree technique by applying Iterative Dichotomizer (ID3) algorithm. The ID3 algorithm uses the entropy measure as a criterion for selecting classifiers for branching. The raw data set is converted to an appropriate one by converting the categorical values to numerical values using label and one hot encoding. This model is then trained with the appropriate training data set, and then, its performance is evaluated with a testing data set. The efficiency of the model is detected with the measures of accuracy, precision, recall, F1, AUC scores.