Agent Platform: Predicting Loan Risk with AutoML Reviews

Ryan H. · Reviewed almost 2 years ago

Allan Rodrigo R. · Reviewed almost 2 years ago

k t. · Reviewed almost 2 years ago

Virendra C. · Reviewed almost 2 years ago

人士 古. · Reviewed almost 2 years ago

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Prasanna K. · Reviewed almost 2 years ago

Aleksandra M. · Reviewed almost 2 years ago

Mathis P. · Reviewed almost 2 years ago

Diego d. · Reviewed almost 2 years ago

Sorry, probably my fault, but I cannot comprehend why playing with predictions in the Shell, I have very similar results for customers with incomes of 20000 and 80000 for the loan of 20000: {"endpointId": "1411183591831896064", "instance": "[{age: 30, ClientID: '1999', income: 20000, loan: 20000}]"} 2024/12/13 13:02:00 {"model_class":"0","model_score":1.050736E-5} and {"endpointId": "1411183591831896064", "instance": "[{age: 30, ClientID: '1999', income: 80000, loan: 20000}]"} 2024/12/13 13:07:32 {"model_class":"0","model_score":3.0107735E-4}

Igor O. · Reviewed almost 2 years ago

Abhaya A. · Reviewed almost 2 years ago

Diego L. · Reviewed almost 2 years ago

peteanionelsorin G. · Reviewed almost 2 years ago