Agent Platform: Predicting Loan Risk with AutoML Reviews

Mathis P. · Reviewed over 1 year ago

Diego d. · Reviewed over 1 year 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 over 1 year ago

Abhaya A. · Reviewed over 1 year ago

Diego L. · Reviewed over 1 year ago

peteanionelsorin G. · Reviewed over 1 year ago

Pradeep P. · Reviewed over 1 year ago

peteanionelsorin G. · Reviewed over 1 year ago

The training takes too much time, it's inefficient to have this kind of hands-on practice.

Darina L. · Reviewed over 1 year ago

Aditya J. · Reviewed over 1 year ago

peteanionelsorin G. · Reviewed over 1 year ago

peteanionelsorin G. · Reviewed over 1 year ago

peteanionelsorin G. · Reviewed over 1 year ago

Dharahasini G. · Reviewed over 1 year ago

Mandepudi S. · Reviewed over 1 year ago

peteanionelsorin G. · Reviewed over 1 year ago

Mir Mohammad J. · Reviewed over 1 year ago

Inhye P. · Reviewed over 1 year ago

peteanionelsorin G. · Reviewed over 1 year ago

Yahya F. · Reviewed over 1 year ago

José Alfonso C. · Reviewed over 1 year ago

ERIKA V. · Reviewed over 1 year ago

Alan L. · Reviewed over 1 year ago

Yureidis D. · Reviewed over 1 year ago

Luis German O. · Reviewed over 1 year ago