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Designed a Machine Learning model which takes newsgroup dataset and performs binary classification to predict if a given document has Atheistic or Christian sentiment. Used LIME library and PySpark. Performed feature selection to improve classifier’s performance.

Python 100.00%
lime python-3 newsgroups-dataset binary-classification explain-classifiers mllib pyspark sparksql f1-score feature-selection

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