GitHub - harshitsingh13/Machine-learning-classifier: Here, we build a machine learning classifier to classify the comments into the two categories “news” and “humour” and represent the comments as vectors using a bag of words approach. We evaluate our model on the test-set and report its accuracy, precision, recall and F1-score and plot a confusion matrix to demonstrate our model’s performance. Also, there are examples of comments where our model performed well and where it failed.

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Here, we build a machine learning classifier to classify the comments into the two categories “news” and “humour” and represent the comments as vectors using a bag of words approach. We evaluate our model on the test-set and report its accuracy, precision, recall and F1-score and plot a confusion matrix to demonstrate our model’s performance. Al…

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Name		Name	Last commit message	Last commit date
Latest commit History 3 Commits
Program to identifying where our model performed well and where it's failed		Program to identifying where our model performed well and where it's failed
machine learning classifier		machine learning classifier
psosm_ml.py		psosm_ml.py