Agent Platform: Predicting Loan Risk with AutoML Reviews

Jesús Manuel V. · Reviewed почти 2 лет ago

Ryan H. · Reviewed почти 2 лет ago

Allan Rodrigo R. · Reviewed почти 2 лет ago

k t. · Reviewed почти 2 лет ago

Virendra C. · Reviewed почти 2 лет ago

人士 古. · Reviewed почти 2 лет ago

César Antef N. · Reviewed почти 2 лет ago

Jim P. · Reviewed почти 2 лет ago

Jesús Alejandro S. · Reviewed почти 2 лет ago

Claire P. · Reviewed почти 2 лет ago

Dhananjay W. · Reviewed почти 2 лет ago

Mehak J. · Reviewed почти 2 лет ago

Vasu G. · Reviewed почти 2 лет ago

Arlette E. · Reviewed почти 2 лет ago

Arista S. · Reviewed почти 2 лет ago

Tushar S. · Reviewed почти 2 лет ago

Diomira C. · Reviewed почти 2 лет ago

Saigirish M. · Reviewed почти 2 лет ago

Prasanna K. · Reviewed почти 2 лет ago

Aleksandra M. · Reviewed почти 2 лет ago

Mathis P. · Reviewed почти 2 лет ago

Diego d. · Reviewed почти 2 лет 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 почти 2 лет ago

Abhaya A. · Reviewed почти 2 лет ago

Diego L. · Reviewed почти 2 лет ago