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Model based trained on 30% of the kaggle public data on fake and reals news article. The model achieved an auc of 1.0, precision, recall and f1score all at score of 1.0.
- Task;- The predictor classifies news articles into either fake or real news.
- It is a transformer model trained using the
ktrainlibrary on 30% of dataset of size 194MB after preprocessing. - Metrics used are recall,, precision, f1score and roc_auc_score.
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