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NLP-Project
Commit af95466f authored by Almouhannad Hafez's avatar Almouhannad Hafez
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README.md
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## ***Results***
> ***Applied features selection and model's hyperparameters tuning***
| Case\\Criterion | Accuracy(Train) | Accuracy(Test) | Precision(Test-Average) | Recall(Test-Average) | F1-Score(Test-Average) | Notes |
| ----------------------- | --------------- | -------------- | ----------------------- | -------------------- | ---------------------- | ---------------------- |
| nltk stemmer | 0.9783 | 0.9416 | 0.9406 | 0.9392 | 0.9377 | alpha=0.1, 300features |
| nltk lemmatizer | 0.9957 | 0.9567 | 0.9578 | 0.9561 | 0.9558 | alpha=0.1, 800features |
| Stanza lemmatizer | | | | | | |
| SpaCy lemmatizer | 0.9957 | 0.9545 | 0.9557 | 0.9537 | 0.9536 | alpha=0.1, 750features |
| Lemma + Verbs only | 0.7438 | 0.6082 | 0.6461 | 0.6166 | 0.6098 | alpha=0.1, 150features |
| Lemma + Adjectives only | 0.7496 | 0.5974 | 0.6807 | 0.6065 | 0.6143 | alpha=0.1, 150features |
| Lemma + Nouns only | 0.9826 | 0.9026 | 0.9056 | 0.9031 | 0.9001 | alpha=0.1, 400features |
| Case\\Criterion | Accuracy(Train) | Accuracy(Test) | Precision(Test-Average) | Recall(Test-Average) | F1-Score(Test-Average) | Notes |
| ----------------------- | --------------- | -------------- | ----------------------- | -------------------- | ---------------------- | ------------------------- |
| nltk stemmer | 0.9783 | 0.9416 | 0.9406 | 0.9392 | 0.9377 | alpha=0.1, 300features |
| nltk lemmatizer | 0.9957 | 0.9567 | 0.9578 | 0.9561 | 0.9558 | alpha=0.1, 800features |
| Stanza lemmatizer | | | | | | |
| SpaCy lemmatizer | 0.9957 | 0.9545 | 0.9557 | 0.9537 | 0.9536 | alpha=0.1, 750features |
| Lemma + Verbs only | 0.7438 | 0.6082 | 0.6461 | 0.6166 | 0.6098 | alpha=0.1, 150features |
| Lemma + Adjectives only | 0.7496 | 0.5974 | 0.6807 | 0.6065 | 0.6143 | alpha=0.1, 150features |
| Lemma + Nouns only | 0.9826 | 0.9026 | 0.9056 | 0.9031 | 0.9001 | alpha=0.1, 400features |
| Text + (1,2)Gram | 1.0000 | 0.9719 | 0.9728 | 0.9726 | 0.9716 | alpha=0.01, 7100features |
| Text + (1,3)Gram | 1.0000 | 0.9675 | 0.9692 | 0.9678 | 0.9675 | alpha=0.01, 18600features |
| Text + (1,4)Gram | 1.0000 | 0.9675 | 0.9693 | 0.9681 | 0.9675 | alpha=0.01, 32100features |
| Text + (2,3)Gram | 1.0000 | 0.9502 | 0.9530 | 0.9508 | 0.9501 | alpha=0.01, 17100features |
| Text + (2,4)Gram | 1.0000 | 0.9502 | 0.9523 | 0.9504 | 0.9492 | alpha=0.01, 30600features |
> ***Without features selection***
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Results.xlsx
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