In an experiment on epigenetics and memory, Giulia Santoni (from the lab of Johannes Gräff at EPFL) measured the gene expression levels in multiple cells of a mouse brain under three different conditions that we call KAT5, CBP and eGFP. In this challenge, the goal is to predict - as accurately as possible - for each cell the experimental condition (KAT5, CBP or eGFP) under which it was measured, given only the gene expression levels.

The training data contains the normalized counts for 32285 genes in 5000 different cells together with the experimental condition under which each cell was measured. The test data contains only the normalized counts and your task is to predict the experimental condition.

Please have a look at the [Evaluation](https://www.kaggle.com/competitions/epfl-bio322-2022/overview/evaluation) section for the submission format and the evaluation criterion.