The classification of geographical areas is important in many areas including urban planning, allocation of resources, and analysis of socio-economic factors. This paper evaluates how well a model for classifying regions by specific metrics performs, to evaluate the performance of our dataset from West Bengal, Assam, Bihar, Orissa, and Uttar Pradesh with metrics such as certainty rate, recall, F1 score, instance count (IC), instance ratio (IR), and accuracy. Our study shows that classification is successful: high F1-scores were achieved for all categories along with high certainties rates which indicate good performance in terms of correctness. The most remarkable point here is that states like Bihar or Orissa have shown comparably better recalls than other states—this proves our method worked better than any other used before it. This study helps to understand how well classification works and thus could be useful for future progressions within geographical region classifications.