Analisa Kelayakan Pemberian Kredit Mobil Dengan Menggunakan Neural Network Backpropagation
Amrin Amrin · 2019
Problems are often encountered in the provision of credit is to determine lendingdecisions to someone, while other issues are not all credit payments can run well.Among the causes are errors of judgment in making credit decisions. In this studywill be used back propagation neural network method to analyze the feasibility ofproviding car loans. From the test results to measure the performance of themethod is to use testing methods Confusion Matrix and ROC curve, it is knownthat the method ofback propagation neural network has a value of89% accuracyand AUC value of 0.831. This shows that the model produced, including theclassification is quite good because it has the AUC values between 0.8-0.9.