Python机器学习入门：Scikit-learn实战

Scikit-learn是Python最流行的机器学习库。

数据预处理

from sklearn.preprocessing import StandardScaler
from sklearn.model_selection import train_test_split

X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)
scaler = StandardScaler()
X_train = scaler.fit_transform(X_train)

模型训练

from sklearn.ensemble import RandomForestClassifier
model = RandomForestClassifier(n_estimators=100)
model.fit(X_train, y_train)

模型评估

from sklearn.metrics import accuracy_score
y_pred = model.predict(X_test)
print(accuracy_score(y_test, y_pred))