---
title: "Client Report -How good is it, really?"
subtitle: "Unit 4 Task 2"
author: "[STUDENT NAME]"
format:
  html:
    self-contained: true
    page-layout: full
    title-block-banner: true
    toc: true
    toc-depth: 3
    toc-location: body
    number-sections: false
    html-math-method: katex
    code-fold: true
    code-summary: "Show the code"
    code-overflow: wrap
    code-copy: hover
    code-tools:
        source: false
        toggle: true
        caption: See code
execute: 
  warning: false
    
---

```{python}
import pandas as pd 
import numpy as np
from lets_plot import *
# add the additional libraries you need to import for ML here

LetsPlot.setup_html(isolated_frame=True)
```


```{python}
# import your data here using pandas and the URL


```

## QUESTION 1

__Describe the quality of your classification model using 2-3 different evaluation metrics.__ You also need to explain how to interpret each of the evaluation metrics you use.  

_type your write-up and analysis here_

```{python}
# Include and execute your code here


```


## QUESTION 2

__Justify your classification model by discussing the most important features selected by your model.__ This discussion should include a feature importance chart and a description of the features.

_type your write-up and analysis here_

```{python}
# Include and execute your code here


```