Standardizovaná data a modelování

Preprocessing pro Machine Learning v Pythonu

James Chapman

Curriculum Manager, DataCamp

K nejbližších sousedů

  • Únik dat: trénovací model používá data mimo trénovací sadu
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier

X_train, X_test, y_train, y_test = train_test_split(X, y, stratify=y, random_state=42)
knn = KNeighborsClassifier() scaler = StandardScaler() X_train_scaled = scaler.fit_transform(X_train) X_test_scaled = scaler.transform(X_test)
knn.fit(X_train_scaled, y_train)
knn.score(X_test_scaled, y_test)
Preprocessing pro Machine Learning v Pythonu

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Preprocessing pro Machine Learning v Pythonu

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