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fix accuracy

This commit is contained in:
Karol Cyganik 2024-05-14 12:35:54 +02:00
parent 56eb2b45da
commit da419d6659
1 changed files with 1 additions and 10 deletions
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11
evaluate.py
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@ -20,8 +20,6 @@ for filename in os.listdir("data"):
if os.path.isfile(f):
data_files.append(pd.read_csv(f, sep='\t', header=None))
recognized = 0
unrecognized = 0
true_positives = 0
false_positives = 0
false_negatives = 0
@ -43,11 +41,6 @@ for df in data_files:
entries_count = len(user_speeches)
found_rules = user_speeches.apply(lambda x: grammar.find_matching_rules(decode_prompt(x)))
parsed = user_speeches.apply(lambda x: bool(grammar.find_matching_rules(decode_prompt(x))))
true_count = parsed.sum()
false_count = len(parsed) - true_count
recognized += true_count
unrecognized += false_count
for line, rules in zip(df.iterrows(), found_rules):
act = line[1]['act'].split('(')[0]
@ -62,12 +55,10 @@ for df in data_files:
false_negatives += 1
acts_not_recognized[act] += 1
accuracy = recognized / (recognized + unrecognized)
accuracy = (true_positives + false_positives) / ((true_positives + false_positives) + sum([x for x in acts_not_recognized.values()]))
precision = true_positives / (true_positives + false_positives) if (true_positives + false_positives) != 0 else 0
recall = true_positives / (true_positives + false_negatives) if (true_positives + false_negatives) != 0 else 0
print(f"Recognized user utterances: {recognized}")
print(f"Unrecognized user utterances: {unrecognized}")
print(f"Accuracy: {accuracy}")
print(f"Precision: {precision}")
print(f"Recall: {recall}")