| # Educational Score FastText Model | |
| - Trained on `AngelinaZanardi/fineweb-kimi-k2-instruct-nno_cleaned` | |
| - Target column: `educational_score` | |
| - Hyperparameters: lr=0.05, epoch=50, wordNgrams=1, dim=300, minCount=5, loss=softmax, ws=7, minn=3, maxn=6 | |
| - Validation F1: 0.4976 | |
| - Test F1: 0.4938 | |
| ✅ Validation Weighted F1: 0.4976 | |
| ✅ Test Weighted F1: 0.4938 | |
| Confusion Matrix: | |
| [[ 3 15 0 0 0 0] | |
| [ 3 171 4 24 0 0] | |
| [ 0 54 7 51 4 0] | |
| [ 0 28 11 115 8 0] | |
| [ 0 2 0 28 10 0] | |
| [ 0 0 0 6 5 0]] | |
| Classification Report: | |
| precision recall f1-score support | |
| 0 0.50 0.17 0.25 18 | |
| 1 0.63 0.85 0.72 202 | |
| 2 0.32 0.06 0.10 116 | |
| 3 0.51 0.71 0.60 162 | |
| 4 0.37 0.25 0.30 40 | |
| 5 0.00 0.00 0.00 11 | |
| accuracy 0.56 549 | |
| macro avg 0.39 0.34 0.33 549 | |
| weighted avg 0.50 0.56 0.49 549 | |