Digits基础分类

from sklearn.datasets import load_digits
from sklearn.neural_network import MLPClassifier
from sklearn.model_selection import train_test_split
from sklearn.metrics import confusion_matrix
digits = load_digits()
X = digits.data / 16.0
X_train, X_test, y_train, y_test = train_test_split(X, digits.target, test_size=0.2, random_state=42)
clf = MLPClassifier(hidden_layer_sizes=(50,), max_iter=500, random_state=42)
clf.fit(X_train, y_train)
y_pred = clf.predict(X_test)
cm = confusion_matrix(y_test, y_pred)
print(f'混淆矩阵形状: {cm.shape}')