说明：  本项目的目标是确定有效预测假新闻的理想模型。该方法采用监督机器学习对数据集进行分类。所使用的分类器包括Logistic回归、决策树和梯度Boosting算法。。
(The aim of this project is to determine the ideal model that is efficient in predicting fake news .The methodology employs supervised machine learning to classify the dataset. The classifiers utilized include Logistic Regression, Decision Tree and Gradient Boosting Algorithm..)