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ptw_ti_classification

Classification task from PTW Lab

Problem statement

Data sets

Approach

Setup

Update log

  • 04.08.2022 Tried features from tsfresh again, the lgbm can not identify the negative sample at in on second data set.
    • Failed in selected feature from tsfresh. The selected feature(~6500) from first data set and second data set(~1200) are not exactly same.
  • 03.08.2022 used lgbm model on fft data, achieve 0.88 on second data set
    • The extracted feature from tsfresh didn't show good f1-score. We might need feature selection and fine-tuning the lgbm model.
  • 03.08.2022 rewrite the pipeline in train.py

    • This will make the code more readable.

  • 01.08 create the repository