data_train = LoadDataTrain()
filehasil = open('Hasilnya.csv', 'w')
writer = csv.writer(filehasil,
delimiter=';',
quotechar='|',
quoting=csv.QUOTE_MINIMAL)
data_test = LoadDataTest()
for data in data_test:
result = KNN.prosesknn(3, data, data_train)
data.append(result)
print(data)
writer.writerow(data)
Train = LoadData.LoadDataTrain()
dataTrain = Train[:2000]
validasiTrain = Train[2000:]
data_sama = 0
for dataValidasi in validasiTrain:
result = KNN.prosesknn(3, dataValidasi, validasiTrain)
print(dataValidasi, result)
if result == dataValidasi[-1]:
data_sama = data_sama + 1
akurasi = float(data_sama) / len(validasiTrain) * 100
print("Hasil Akurasinya = ", akurasi, "%")
