Predict tags for posts from StackOverflow with multilabel classification approach.

• Dataset of post titles from StackOverflow

• Transformed text data to numeric vectors using bag-of-words and TF-IDF.

MultiLabelBinarizer to transform labels in a binary form and the prediction will be a mask of 0s and 1s.

Logistic Regression for Multilabel classification

• Coefficient = 10
• L2-regularization technique

Results evaluated using several classification metrics:

• Accuracy
• F1-score
• Area under ROC-curve
• Area under precision-recall curve

• Numpy — a package for scientific computing.
• Pandas — a library providing high-performance, easy-to-use data structures and data analysis tools for the Python
• scikit-learn — a tool for data mining and data analysis.
• NLTK — a platform to work with natural language.

Note: this sample project was originally created by @partoftheorigin