Welcome to the Catechol Benchmark Hackathon competition! In this competition, we will have multiple teams trying to predict reaction outcomes of the rearrangement of allyl substituted catechol under different solvent and process conditions. 

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4031506%2F61e0e8398db58dbed9147a2363bda5e9%2FProject2_rxn.png?generation=1758631749114140&alt=media)

The data-set consists of multiple transient flow ramps, which allow us to assess the amount of starting material and products after seeing the reaction at different temperatures and residence times (i.e. how long the chemicals reacted for). We also include many data-points for binary mixtures of solvents, allowing us to treat the usually discrete solvent selection problem as a semi-continuous one.

![](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F4031506%2Fade8755df156422acf715db63ac6b4f4%2Fmethanol_to_ethyleleglycol.png?generation=1758632250806193&alt=media)

**Goal:** Build a machine learning model that achieves the best predictions on the collected data, as measured by a cross-validation procedure, which will demonstrate the ability of your model to predict on unseen solvent data.