Binary classification with the perceptron
Let's work through a toy classification problem. Suppose that you wish to separate adult cats from kittens. Only two explanatory variables are available in your dataset: the proportion of the day that the animal was asleep and the proportion of the day that the animal was grumpy. Our training data consists of the following four instances:
|
Instance |
Proportion of the day spent sleeping |
Proportion of the day spent being grumpy |
Kitten or Adult? |
|---|---|---|---|
|
1 |
0.2 |
0.1 |
Kitten |
|
2 |
0.4 |
0.6 |
Kitten |
|
3 |
0.5 |
0.2 |
Kitten |
|
4 |
0.7 |
0.9 |
Adult |
The following scatter plot of the instances confirms that they are linearly separable:
Our goal is to train a perceptron that can classify animals using the two real-valued explanatory ...
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