Use the function varimp() on the output of train() and save it to an object called imp object.
<h3>What is the classification that has More than Two Classes and the Caret Package</h3>
In the Classification that has More than Two Classes and the Caret Package section, one need to use the methods that can be able to adapt to higher forms or dimensions and through a lot of different machine learning algorithms.
Note that varImp is seen as a generic method for calculating variable .
Hence, Use the function varimp() on the output of train() and save it to an object called imp object.
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Answer:
def select_short_strings(string_list):
new_list = []
for s in string_list:
if len(s) < 20:
new_list.append(s)
return new_list
lst = ["apple", "I am learning Python and it is fun!", "I love programming, it is easy", "orange"]
print(select_short_strings(lst))
Explanation:
- Create a function called <em>select_short_strings</em> that takes one argument <em>string_list</em>
Inside the function:
- Initialize an empty list to hold the strings that are less than 20
- Inside the loop, check the strings inside <em>string_list</em> has a length that is smaller than 20. If found one, put it to the <em>new_list</em>.
- When the loop is done, return the <em>new_list</em>
- Create a list to check and call the function
Answer:
The answer with explanation is attached in the file.
Explanation:
