| 1. Installatie
```
pip installeer scikit-learn
```
2. Gegevens
```
van sklearn.datasets importeer load_iris
iris =laad_iris()
print(iris.data.shape) # (150, 4)
print(iris.target) # [0 0 0 ... 1 1 1]
```
3. Gegevens splitsen
```
vanuit sklearn.model_selection importeer train_test_split
X_train, X_test, y_train, y_test =train_test_split(iris.data, iris.target, test_size=0,25)
```
4. Model maken
```
van sklearn.tree importeer DecisionTreeClassifier
clf =DecisionTreeClassifier()
```
5. Opleiding
```
clf.fit(X_train, y_train)
```
6. Voorspelling
```
y_pred =clf.predict(X_test)
```
7. Nauwkeurigheid
```
van sklearn.metrics importeer nauwkeurigheid_score
score =nauwkeurigheid_score(y_test, y_pred)
afdrukken(score) # 0,96
``` |
