6.3 KiB
6.3 KiB
import pandas as pd
from sklearn.metrics import accuracy_score
expected = pd.read_csv('evaluate.tsv', sep='\t', header=None)
expected = expected.fillna('null')
expected
0 | |
---|---|
0 | hello |
1 | help |
2 | request |
3 | affirm |
4 | request |
... | ... |
586 | null |
587 | request |
588 | null |
589 | ack |
590 | hello |
591 rows × 1 columns
predicted = pd.read_csv('predicted.tsv', sep='\t', header=None)
predicted = predicted.fillna('null')
predicted
0 | |
---|---|
0 | hello |
1 | help |
2 | request |
3 | affirm |
4 | request |
... | ... |
586 | null |
587 | request |
588 | null |
589 | ack |
590 | hello |
591 rows × 1 columns
print(accuracy_score(expected, predicted))
1.0