why One-Hot Encoder can avoid the situation that the model will misunderstand the data to be in some kind of order if the data has been Label Encoding
From the blog, one hot encoding resolves the issue by explicitly showing that 1 category is true, while all others are false (1 vs 0). One column is turned into 3 columns which describe all categories as either true or false. 

As opposed to letting a model see one column with 0, 1, and 2. One column to show this data with label encoding does make it seem as if the data is numerical so 0 &lt; 1 &lt; 2.