(24-04-2025, 10:54 AM)Urtx13 wrote: You are not allowed to view links. Register or Login to view.classification_predictions.csv
The file shows that the model can accurately predict which of the four phases a folio belongs to, with an accuracy of over 96%. That would be impossible if there were no internal cycle to detect.
How can randomly generated Lunar phases match the results from the classification is a complete mystery to me.
Looking at tfidf_lda_seed.py, it processes only tokens_per_folio.csv, so it's completely deterministic, not random (the value of the seed should not impact the result of the classification, I hope). It generates lda_topic_distributions.csv. Then supervised_models_seed.py outputs the model accuracy score (0.9649) when comparing the prediction of the model from lda_topic_distributions with the random phases from lunar_folio_dates.csv, right?