def score_result(reducer_function, data, x_scaled, ini, dimensions, label_data,
title):
knn = Knn()
score = []
valor_k = range(ini, dimensions)
for k in valor_k:
new_data = reducer_function(data, x_scaled, k)
score.append(knn.avg(new_data, label_data))
Visualization.hit_rate_per_k(valor_k, score, title)
