Les K plus proches voisins
Importer KNeighborsClassifier
Code complet
# coding : utf-8
'''
Scikit-learn Challenge
#01 : K Nearest Neighbors
'''
# Packages
import pickle
from sklearn.datasets import load_iris
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import accuracy_score
# Get data
X, y = load_iris(return_X_y=True)
# Design model
clf = KNeighborsClassifier(n_neighbors=5)
# Train model
clf.fit(X, y)
# Evaluate model
y_pred = clf.predict(X)
score = accuracy_score(y, y_pred)
print('Accuracy score: ', round(score, 2))
# Inference
output = clf.predict([[1.5, 0.24, 2.6, 0.1]])[0]
print('Predcited class: ', output)
# Save model
with open('output/model.pkl', 'wb') as f:
pickle.dump(obj=clf, file=f)
Références
- Référence 1
- Référence 2
Pour plus d'information merci de visiter .