Perbandingan Performa Model Machine Learning Support Vector Machine, Neural Network, Dan K-Nearest Neighbors Dalam Prediksi Harga Saham
Sudriyanto Sudriyanto,
Fatimatus Syahro,
Novi Fitriani
Abstract:This study aims to analyze the performance of three prediction models, namely K-Nearest Neighbors (K-NN), Neural Network (NN), and Support Vector Machine (SVM), in predicting the stock price of PT Astra International Tbk (ASII.JK). The research encompasses the initial stages through evaluation using optimal parameters for these three algorithms. The research findings reveal that the K-NN prediction model has the lowest Root Mean Square Error (RMSE) value, with a value of 0.037, indicating the most accurate pre… Show more
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