ANALISIS PERBANDINGAN ALGORITMA K-NEAREST NEIGHBOR (KNN) DAN SUPPORT VECTOR MACHINE (SVM) DALAM KLASIFIKASI KUALITAS SUSU
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Abstract
This analysis aims to compare the performance of two classification algorithms, namely K-Nearest Neighbor (KNN) and Support Vector Machine (SVM) in the context of milk quality classification. This analysis uses data from the “Milk Quality” dataset available on the Kaggle platform. To identify the best performing algorithm, the dataset was used to evaluate two algorithms' precision, recall, F1-Score, and accuracy values. The KNN algorithm consistently outperforms SVM in terms of performance, as evidenced by the results.
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