Need the rest of this code in Python- import math import pandas as pd.pdf
0 likes17 views
The document provides a Python code snippet for calculating information gain related to a target variable from a dataset. It outlines the structure of the dataset, including attributes like age, income, student status, credit rating, and loan, while indicating where to implement the calculation. The function aims to return the information gain associated with the loan attribute.
1 of 1
Download to read offline
More Related Content
More from actexerode (20)
Ad
Recently uploaded (20)
Ad
Need the rest of this code in Python- import math import pandas as pd.pdf
- 1. Need the rest of this code in Python: import math import pandas as pd def information_gain_target(dataset_file): # Input: dataset_file - A string variable which references the path to the dataset file. # Output: ig_loan - A floating point variable which holds the information gain associated with the target variable. # # NOTE: # 1. Return the information gain associated with the target variable in the dataset. # 2. The Loan attribute is the target variable # 3. The pandas dataframe has the following attributes: Age, Income, Student, Credit Rating, Loan # 4. Perform your calculations for information gain and assign it to the variable ig_loan df = pd.read_csv(dataset_file) ig_loan = 0 # your code here