### Data
In this section you will find data needed to train your model and a detailed description of it.

### Files
- `diamonds_train.csv`: training set
- `diamond_test.csv`: use it **ONLY** to make the prediction
- `sample_submission.csv`: sample submission

### Features
- **id**: only for test & sample submission files, id for prediction sample identification
- **price**: price in USD
- **carat**: weight of the diamond
- **cut**: quality of the cut (Fair, Good, Very Good, Premium, Ideal)
- **color**: diamond colour, from J (worst) to D (best)
- **clarity**: a measurement of how clear the diamond is (I1 (worst), SI2, SI1, VS2, VS1, VVS2, VVS1, IF (best))
- **x**: length in mm
- **y**: width in mm
- **z**: depth in mm
- **depth**: total depth percentage = `z / mean(x, y) = 2 * z / (x + y) (43--79)`
- **table**: width of top of diamond relative to widest point (43--95)