Mushroom Dataset and train Machine Learning Algorithms on it
How can we decide that when we see a mushroom is edible or what? My aim is to predict a mushroom is edible or poisonous. To do that I will use mushroom dataset which I downloaded here: https://www.mldata.io/datasetdetails/mushroom/#customize_download. Since this is a 2 class problem and all mushrooms in dataset already labeled as a poisonous and edible, I decided to use classification.
I read the dataset with pandas library. Then I print it to observe. It has 8124 entries. And it wasn’t numpy array. All of the values have written in char characters. So, I had to label encoding. Before that I observe that mushrooms have 22 features and its label which is “type” column. Type is stands for the mushroom is edible or poisonous. Before the label encoding, poisonous represents as “p” and edible represented as “e”. And before label encoding, I switch all of the NaN values with most common values.
