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Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

Peer2Peer Loss Given Default Prediction

By: Mphasis Latest Version: 2.2

Product Overview

This solution predicts the Loss due to default of the borrowers who are most likely to default on their Consumer loans in Peer-to-Peer lending. During the training stage, the solution understands the dataset, handles missing data and class imbalance, conducts feature interaction on the training data and selects a subset of best features based on feature importance. It then trains on multiple ML models, identifies the best performing model and tunes it accordingly. This trained model is then selected for prediction on the test data.

Key Data

By Mphasis
Type Algorithm
Fulfillment Methods Amazon SageMaker

Usage Information


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Peer2Peer Loss Given Default Prediction

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