The provided dataset Franchises Dataset contains data collected from different 100 franchises The data contains the net profit (million $) for each franchise, the counter sales (million $), the drive through sales (million $), and the type of the franchise Address the following questions a) Develop a Random Forest Model for the net profit b) What is the forecast of the net profit, if the counter sales are 500,000 $, drive through sales are 700,000$, and the franchise is a pizza store Comment on the forecasted value c) What are the limitations of the model Net Profit Counter Sales Drive through Sales Business Type 2 8 4 7 7 Caf 1 3 3 3 4 5 Caf 1 2 5 8 8 4 Pizza Store 2 4 10 7 8 Burger store 0 7 4 7 2 4 Caf 1 3 7 7 4 8 Caf 1 1 4 5 2 5 Caf 2 3 8 6 3 4 Burger store 0 9 5 9 2 Caf 1 6 6 3 4 1 Burger store 2 8 4 7 7 Caf 1 3 3 3 4 5 Caf 1 7 5 8 8 4 Caf 1 4 10 7 8 Pizza Store 1 2 4 7 2 4 Burger store 1 8 7 7 4 8 Burger store 1 6 4 5 2 5 Burger store 1 8 8 6 3 4 Caf 1 4 5 9 2 Burger store 1 1 6 3 4 1 Caf 1 5 8 4 7 7 Pizza Store 1 3 3 3 4 5 Caf 1 2 5 8 8 4 Pizza Store 2 4 10 7 8 Burger store 1 2 4 7 2 4 Burger store 1 3 7 7 4 8 Caf 1 1 4 5 2 5 Caf 1 3 8 6 3 4 Pizza Store 0 9 5 9 2 Caf 1 6 6 3 4 1 Burger store 2 8 4 7 7 Caf 0 8 3 3 4 5 Pizza Store 2 2 5 8 8 4 Burger store 2 4 10 7 8 Burger store 1 2 4 7 2 4 Burger store 0 8 7 7 4 8 Pizza Store 1 6 4 5 2 5 Burger store 1 8 8 6 3 4 Caf 0 9 5 9 2 Caf 1 6 6 3 4 1 Burger store 2 8 4 7 7 Caf 0 8 3 3 4 5 Pizza Store 1 2 5 8 8 4 Pizza Store 1 9 10 7 8 Caf 0 7 4 7 2 4 Caf 0 8 7 7 4 8 Pizza Store 0 6 4 5 2 5 Pizza Store 2 3 8 6 3 4 Burger store 0 9 5 9 2 Caf 1 6 6 3 4 1 Burger store 2 8 4 7 7 Caf 1 3 3 3 4 5 Caf 1 2 5 8 8 4 Pizza Store 2 4 10 7 8 Burger store 0 7 4 7 2 4 Caf 1 8 7 7 4 8 Burger store 0 6 4 5 2 5 Pizza Store 2 3 8 6 3 4 Burger store 0 4 5 9 2 Pizza Store 1 1 6 3 4 1 Caf 2 5 8 4 7 7 Burger store 1 8 3 3 4 5 Burger store 2 2 5 8 8 4 Burger store 2 4 10 7 8 Burger store 1 2 4 7 2 4 Burger store 0 8 7 7 4 8 Pizza Store 1 1 4 5 2 5 Caf 1 3 8 6 3 4 Pizza Store 0 9 5 9 2 Caf 0 6 6 3 4 1 Pizza Store 2 5 8 4 7 7 Burger store 1 3 3 3 4 5 Caf 2 2 5 8 8 4 Burger store 1 9 10 7 8 Caf 0 2 4 7 2 4 Pizza Store 1 8 7 7 4 8 Burger store 1 6 4 5 2 5 Burger store 2 3 8 6 3 4 Burger store 1 4 5 9 2 Burger store 0 6 6 3 4 1 Pizza Store 1 7 8 4 7 7 Pizza Store 1 8 3 3 4 5 Burger store 2 6 5 8 8 4 Burger store 1 4 10 7 8 Pizza Store 0 2 4 7 2 4 Pizza Store 1 7 7 4 8 Pizza Store 0 6 4 5 2 5 Pizza Store 2 3 8 6 3 4 Burger store 1 6 5 9 2 Caf 0 6 6 3 4 1 Pizza Store 2 5 8 4 7 7 Burger store 1 6 3 3 4 5 Burger store 1 2 5 8 8 3 Pizza Store 1 9 9 8 7 8 Caf 1 2 4 7 2 4 Burger store 1 8 7 7 4 8 Burger store 0 6 4 5 2 5 Pizza Store 1 3 9 1 3 4 Pizza Store 1 5 9 2 2 Caf 1 8 6 3 4 2 Burger store

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Question: The provided dataset Franchises Dataset contains data collected from different 100 franchises. The data contains the net profit (million $) for each franchise, the counter

The provided dataset "Franchises Dataset" contains data collected from different 100 franchises. The data contains the net profit (million $) for each franchise, the counter sales (million $), the drive-through sales (million $), and the type of the franchise. Address the following questions: a) Develop a Random Forest Model for the net profit. b) What is the forecast of the net profit, if the counter sales are 500,000 $, drive-through sales are 700,000$, and the franchise is a pizza store. Comment on the forecasted value. c) What are the limitations of the model

Net Profit	Counter Sales	Drive-through Sales	Business Type
2	8.4	7.7	Caf
1.3	3.3	4.5	Caf
1.2	5.8	8.4	Pizza Store
2.4	10	7.8	Burger store
0.7	4.7	2.4	Caf
1.3	7.7	4.8	Caf
1.1	4.5	2.5	Caf
2.3	8.6	3.4	Burger store
0.9	5.9	2	Caf
1.6	6.3	4.1	Burger store
2	8.4	7.7	Caf
1.3	3.3	4.5	Caf
1.7	5.8	8.4	Caf
1.4	10	7.8	Pizza Store
1.2	4.7	2.4	Burger store
1.8	7.7	4.8	Burger store
1.6	4.5	2.5	Burger store
1.8	8.6	3.4	Caf
1.4	5.9	2	Burger store
1.1	6.3	4.1	Caf
1.5	8.4	7.7	Pizza Store
1.3	3.3	4.5	Caf
1.2	5.8	8.4	Pizza Store
2.4	10	7.8	Burger store
1.2	4.7	2.4	Burger store
1.3	7.7	4.8	Caf
1.1	4.5	2.5	Caf
1.3	8.6	3.4	Pizza Store
0.9	5.9	2	Caf
1.6	6.3	4.1	Burger store
2	8.4	7.7	Caf
0.8	3.3	4.5	Pizza Store
2.2	5.8	8.4	Burger store
2.4	10	7.8	Burger store
1.2	4.7	2.4	Burger store
0.8	7.7	4.8	Pizza Store
1.6	4.5	2.5	Burger store
1.8	8.6	3.4	Caf
0.9	5.9	2	Caf
1.6	6.3	4.1	Burger store
2	8.4	7.7	Caf
0.8	3.3	4.5	Pizza Store
1.2	5.8	8.4	Pizza Store
1.9	10	7.8	Caf
0.7	4.7	2.4	Caf
0.8	7.7	4.8	Pizza Store
0.6	4.5	2.5	Pizza Store
2.3	8.6	3.4	Burger store
0.9	5.9	2	Caf
1.6	6.3	4.1	Burger store
2	8.4	7.7	Caf
1.3	3.3	4.5	Caf
1.2	5.8	8.4	Pizza Store
2.4	10	7.8	Burger store
0.7	4.7	2.4	Caf
1.8	7.7	4.8	Burger store
0.6	4.5	2.5	Pizza Store
2.3	8.6	3.4	Burger store
0.4	5.9	2	Pizza Store
1.1	6.3	4.1	Caf
2.5	8.4	7.7	Burger store
1.8	3.3	4.5	Burger store
2.2	5.8	8.4	Burger store
2.4	10	7.8	Burger store
1.2	4.7	2.4	Burger store
0.8	7.7	4.8	Pizza Store
1.1	4.5	2.5	Caf
1.3	8.6	3.4	Pizza Store
0.9	5.9	2	Caf
0.6	6.3	4.1	Pizza Store
2.5	8.4	7.7	Burger store
1.3	3.3	4.5	Caf
2.2	5.8	8.4	Burger store
1.9	10	7.8	Caf
0.2	4.7	2.4	Pizza Store
1.8	7.7	4.8	Burger store
1.6	4.5	2.5	Burger store
2.3	8.6	3.4	Burger store
1.4	5.9	2	Burger store
0.6	6.3	4.1	Pizza Store
1.7	8.4	7.7	Pizza Store
1.8	3.3	4.5	Burger store
2.6	5.8	8.4	Burger store
1.4	10	7.8	Pizza Store
0.2	4.7	2.4	Pizza Store
1	7.7	4.8	Pizza Store
0.6	4.5	2.5	Pizza Store
2.3	8.6	3.4	Burger store
1.6	5.9	2	Caf
0.6	6.3	4.1	Pizza Store
2.5	8.4	7.7	Burger store
1.6	3.3	4.5	Burger store
1.2	5.8	8.3	Pizza Store
1.9	9.8	7.8	Caf
1.2	4.7	2.4	Burger store
1.8	7.7	4.8	Burger store
0.6	4.5	2.5	Pizza Store
1.3	9.1	3.4	Pizza Store
1	5.9	2.2	Caf
1.8	6.3	4.2	Burger store

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