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849天前import pandas as pd |
import numpy as np |
from sklearn.datasets import load_digits |
from sklearn.model_selection import train_test_split |
from sklearn.neural_network import MLPClassifier |
digits = load_digits() |
X = digits.data |
y = digits.target |
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.3, random_state=1) |
mlp = MLPClassifier(hidden_layer_sizes=(100, 100), max_iter=500) |
mlp.fit(X_train, y_train) |
print("预测结果：", mlp.predict(X_test)) |
print("准确率：", mlp.score(X_test, y_test)) |
