This project of predicting fake news deals with fake and real news. Using sklearn, a TfidfVectorizer is build on the dataset. Then, a PassiveAggressive Classifier is initialized and is fit to the model. In the end, the accuracy score and the confusion matrix tell how well the model fares.
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This project of predicting fake news deals with fake and real news. Using sklearn, a TfidfVectorizer is build on the dataset. Then, a PassiveAggressive Classifier is initialized and is fit to the model. In the end, the accuracy score and the confusion matrix tell how well the model fares.
SoleCodr/Prediction-of-Fake-News
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This project of predicting fake news deals with fake and real news. Using sklearn, a TfidfVectorizer is build on the dataset. Then, a PassiveAggressive Classifier is initialized and is fit to the model. In the end, the accuracy score and the confusion matrix tell how well the model fares.
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