AI4ML for banking sector

AILabs
AILabs
Jul 23, 2017 · 1 min read
  1. A module predicting that an individual could experience significant credit delinquency over the next 2 years

The results are fascinating, using ML technique, system predicted that overall 646 out of 30,000 will experience serious delinquence in next 2 years and were right in 392 times. This gives 57% accuracy and means that if the model will recommend negative result (value of 1), it will work correctly in 57/100 cases.

2. Bank Product Recommendation engine

In this video we tried to create ML model that is able to predict that customer will purchase the targeting product of a bank in next 18 months. The experiments have been made on 3 major products: Payroll account, E-account, Direct Debit

3. Predicting final loan status of a creditor

This example is similar to what we have done with Credit Delinquency data. But accuracy is above 80%!

4. Predicting Housing prices

Average difference between predicting price and actual price was 1 384 483. This may be considered as a good results since prices vary from 5 million to 20 million

AI4ML — Machine Learning ana Analytics platform. www.ai4ml.com

AILabs

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Conversational Commerce and Business Intelligence Company

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