Week $9-$ Exercise

Notebook created by Jonathan Penava

For this exercise you are going to try to try and predict the carat range of a diamond based on some of its properties. Start by importing the standard libraries and reading in the 'diamonds.csv$\text{'}$ file.

Drop the 'Color', 'Clarity', and 'Unnamed: $0\text{'}$ Columns.

You will need to change the 'cut' values into int values.

Referencing what we did in week $5,$ create a new column for carat ranges with the values $\text{'}0-1\text{'},\text{'}1-2\text{'},\text{'}2-3\text{'},\text{'}3-4\text{'},4-5,\text{'}5-6\text{'}$

Drop the column 'carat' after you have created the carat ranges column

Using K$-$Nearest Neighbours classify your carat ranges based on the other values in your dataframe. Print out an accuracy score and a classification report for your algorithm.

Create a diagram of error rates for different values of K $.$ What value of K will give you a more accurate result?# Week $9-$ Exercise

### Notebook created by Jonathan Penava

For this exercise you are going to try to try and predict the carat range of a diamond based on some of its properties. Start by importing the standard libraries and reading in the 'diamonds.csv$\text{'}$ file.

Drop the 'Color', 'Clarity', and 'Unnamed: $0\text{'}$ Columns.

You will need to change the 'cut' values into int values.

Referencing what we did in week $5,$ create a new column for carat ranges with the values $\text{'}0-1\text{'},\text{'}1-2\text{'},\text{'}2-3\text{'},\text{'}3-4\text{'},\text{'}4-5\text{'},\text{'}5-6\text{'}$

Drop the column 'carat' after you have created the carat ranges column

Using K$-$Nearest Neighbours classify your carat ranges based on the other values in your dataframe. Print out an accuracy score and a classification report for your algorithm.

Create a diagram of error rates for different values of K$.$ What value of K will give you a more accurate result?