GitHub - ISNada/SeedsDataset: This is a classification algorithm, K-Nearest-Neighbor, to predict the type of seed based on a number of attributes: A, P, C, LK, WK, A_Coef, LKG, and target which has 3 values (0, 1, 2),which refer to 3 types of seeds (Rosa, Kama and Canadian). Target 0 means it is a Rosa, target 1 means it is Kama, target 2 means it is Canadian.

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This is a classification algorithm, K-Nearest-Neighbor, to predict the type of seed based on a number of attributes: A, P, C, LK, WK, A_Coef, LKG, and target which has 3 values (0, 1, 2),which refer to 3 types of seeds (Rosa, Kama and Canadian). Target 0 means it is a Rosa, target 1 means it is Kama, target 2 means it is Canadian.