(x, y)
| 42 | return model, ssler |
| 43 | |
| 44 | def SVMTraining(x, y) : |
| 45 | |
| 46 | model = SVM() |
| 47 | |
| 48 | ssler = StandardScaler() |
| 49 | |
| 50 | ssler.fit(x) |
| 51 | |
| 52 | x = ssler.transform(x) |
| 53 | |
| 54 | model.fit(x, y) |
| 55 | |
| 56 | print((model.predict(x) == y).sum() / len(y)) |
| 57 | |
| 58 | return model, ssler |
| 59 | |
| 60 | def CART_REGTraining(x, y) : |
| 61 |