Question: 1 . ( Han page 3 8 7 problem 8 . 7 ) The follwing table consists of training data from an employee database. For

1.(Han page 387 problem 8.7) The follwing table consists of training data from an employee database. For a given raw entry, count represents the number of data tuples having the values for department, status, age and salary given in that row.
Predicted variable is status Age,Salary and Department are inputs
\table[[Department,Status,Age,Salary,Count],[Sales,Senior,31-35,46K-50K,30],[Sales,Junior,26-30,26K-30K,40],[Sales,Junior,31-35,31K-35K,40],[Systems,Junior,21-25,46K-50K,20],[Systems,Senior,31-35,66K-70K,5],[Systems,Junior,26-30,46K-50K,3],[Systems,Senior,41-45,66K-70K,3],[Marketing,Senior,36-40,46K-50K,10],[Marketing,Junior,31-35,41K-45K,4],[Secretary,Senior,46-50,36K-40K,4],[Secretary,Junior,26-30,26K-30K,6]]
a) Modify the ID3 to handle count of each data tuble and solve the prblem with the modified ID3
algorithm.Do not use any package program but you can perform calcualtions in Excel.
b) Solve the same problem with the decisiton tree algorithms we covered in lab and compare the solutions with your hand calculated ID3
 1.(Han page 387 problem 8.7) The follwing table consists of training

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