Perceptron classifier

With scikit-learn, you can explore the perceptron classifier and relate it to other classification procedures within scikit-learn. Additionally, perceptrons are the building blocks of neural networks, which are a very prominent part of machine learning, particularly computer vision.

Getting ready

Let's get started. The process is as follows:

1. Load the UCI diabetes classification dataset.
2. Split the dataset into training and test sets.
3. Import a perceptron.
4. Instantiate the perceptron.
5. Then train the perceptron.
6. Try the perceptron on the testing set or preferably compute cross_val_score.

Load the UCI diabetes dataset:

import numpy as np
import pandas as pd

data_web_address = "https://archive.ics...