Use of Machine Learning Model in Policy Underwriting Stage to Find Out Fraudulent Application

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Underwriting decision is evaluation of multiple risk factors and their combined effects which involves number of steps to be performed simultaneously. Manual underwriting has scope of missing impact assessment for some risk factors while giving fast decision to process high volume.