I am trying to create a function which counts the length of elements in the list and then run an if
/ elif
loop on them:
k_nearest_samples_class = training_data[sorted_indices[:k]][:, -1]
# print(k_nearest_samples_class)
# counting number of occurrences of either 0's or 1's with below 2 lines
class_0_count = len(k_nearest_samples_class[k_nearest_samples_class == 0])
class_1_count = len(k_nearest_samples_class[k_nearest_samples_class == 1])
class_2_count = len(k_nearest_samples_class[k_nearest_samples_class == 2])
# Combining > & = sign so even in tie-up cases the instance will be classified to malignant - assumed it
# would be okay in order to reduce false positives
if class_0_count >= class_1_count and class_2_count:
print("0", class_0_count)
return 0
elif class_1_count >= class_0_count and class_2_count:
print("1", class_1_count)
return 1
else:
print("2", class_2_count)
return 2
Giving input one by one like:
[0.0]
[1.0]
[2.0]
currently, my if loop is working illogically.