---
{}
---
```py
with open('./literary_form_classifier/model.pkl', 'rb') as fin:
    model = pickle.load(fin)

with open('./literary_form_classifier/vectorizer.pkl', 'rb') as fin:
    vectorizer = pickle.load(fin)

texts = ...
X_infer = vectorizer.transform(texts)
preds = model.predict(X_infer)
```

Model performance on test set:

| Predicted<br>Actual  | Skjønnlitteratur | Faglitteratur | Sum    |
|----------------------|------------------|---------------|--------|
| **Skjønnlitteratur** | 12 141           | 79            | 12 220 |
| **Faglitteratur**    | 804              | 27 611        | 28 415 |
| **Sum**              | 12 945           | 27 690        | 40 635 |

Accuracy: 97.83%, F1 Score: 96.49%, Precision: 99.35%, Specificity: 99.71%, Sensitivity: 93.79%, MCC: 95.00%