ClaimBuster

该数据集名为claimbuster，被用于评估深度堆叠自动编码器结合分类器时的性能表现。在特征提取方面，我们使用了Alchemy API。数据处理过程中，我们移除了特征向量为零的列，并将数据集划分为训练集、验证集和测试集。该数据集的规模属于中等，所涉及的任务是分类。

The dataset named claimbuster is used to evaluate the performance of deep stacked autoencoders combined with classifiers. For feature extraction, the Alchemy API was employed. During data preprocessing, columns with zero-valued feature vectors were removed, and the dataset was split into training, validation, and test sets. This is a medium-sized dataset, and the associated task is classification.