The SMOTE technique is used for handling class imbalance in machine learning models, particularly in binary classification tasks.

Title: P1: ML oversambling by SMOTE technique in Emacs Org mode [2023-11-05 Sun] It is very simple technique, but I did not find current Python implementation and spend some time on fixing old implementation. I dont want to install huge untrusted library with dependencies for small function. There is left much space for improvement: I didn't use time siries analysis and didn't use time data for prediction.\n#data #datascience #emacs #lisp #ml #machinelearning #org #org #orgmode

Title: P0: ML oversambling by SMOTE technique in Emacs Org mode [2023-11-05 Sun] I finished task for Allmagen company, I hope they will hire me. It was about predicing probability of event. I used classic RandomForest ensemble for binary classification with calibration. It had extremely unbalanced classes and I solved it with oversambling by SMOTE technique.\n#data #datascience #emacs #lisp #ml #machinelearning #org #org #orgmode

Title: P1: ML oversambling by SMOTE technique in Emacs Org mode [2023-11-05 Sun] It is very simple technique, but I did not find current Python implementation and spend some time on fixing old implementation. I dont want to install huge untrusted library with dependencies for small function. There is left much space for improvement: I didn't use time siries analysis and didn't use time data for prediction.\n#data #datascience #emacs #lisp #ml #machinelearning #org #org #orgmode