query: How can a ML algorithm learn to classify fake news?
positive_passages.docid: 144386
positive_passages.text: Fake News Detection problem
negative_passages.docid: 110656
negative_passages.text: The Two Cultures: statistics vs. machine learning?
negative_passages.docid: 108282
negative_passages.text: How to choose between learning algorithms
negative_passages.docid: 104995
negative_passages.text: Evaluation measures of goodness or validity of clustering (without having truth labels)
negative_passages.docid: 121138
negative_passages.text: Extreme learning machine: what's it all about?
negative_passages.docid: 1161
negative_passages.text: How can editors and reviewers detect data manipulation?
negative_passages.docid: 77815
negative_passages.text: Machine Learning with intended missing values
negative_passages.docid: 102544
negative_passages.text: Why should one use EM vs. say, Gradient Descent with MLE?
negative_passages.docid: 57060
negative_passages.text: Is normalizing the features always good for classification?
negative_passages.docid: 12304
negative_passages.text: State-of-the-art algorithms for the training of neural networks with GRU or LSTM units
negative_passages.docid: 54302
negative_passages.text: Cross-Validation in plain english?
negative_passages.docid: 138454
negative_passages.text: Determining sample size for ML algorithm validation
negative_passages.docid: 158336
negative_passages.text: Model of spread of a rumor
negative_passages.docid: 113807
negative_passages.text: Testing Classification on Oversampled Imbalance Data
negative_passages.docid: 70893
negative_passages.text: How to Identify Overfitting in Convolutional Neural network?
negative_passages.docid: 130691
negative_passages.text: Compare classifiers based on AUROC or accuracy?
negative_passages.docid: 21493
negative_passages.text: Labeling linguistic examples with language information