Skip to content

Latest commit

 

History

History
16 lines (11 loc) · 644 Bytes

README.md

File metadata and controls

16 lines (11 loc) · 644 Bytes

Medical condition identification using Machine learning

Submission notebooks to the kaggle competition of Invitro Cell Research. Ensemble model of CatBoost, TabPFN, K-neighbor, Linear regression and Support vector classifier has been used. On deadline score of top 20th percentile. Previous versions and competition on: https://www.kaggle.com/code/johnycoder/icr-inference?scriptVersionId=161896656 Post deadline efforts to improve the competition score by augmenting the dataset have been made, but so far unsuccesfull.

Roadmap

making the data augmentation work

Project status

development temporarily suspended until summer