You are provided with a dataset that comprises multiple attributes:
•	tau[x]: Reaction time of participants. Tau1 pertains to the electricity producer.
•	p[x]: Nominal power consumed (negative) or produced (positive). For consumers, the range is [-0.5,-2]. p1 is derived as p1=abs(p2+p3+p4).
•	g[x]: Coefficient (gamma) proportional to price elasticity. g1 pertains to the electricity producer.
•	stab: A real number indicating the maximal real part of the characteristic equation root. A positive 'stab' indicates the system is linearly unstable, whereas a negative value indicates it is stable.
•	stabf: A categorical variable indicating system stability: 'stable' or 'unstable'.

## Files

*   **train.csv** - the training set
*   **test.csv** - the test set
*   **sample_submission.csv** - a sample submission file in the correct format