Subset the data to include only college-educated sales professionals in the software product group. Develop a decision tree model to predict whether or not the sales professional will receive a high (9 or 10) net promoter score (NPS), using predictor variables, such as age, sex, tenure with the company, number of professional certificates acquired, annual evaluation score, and personality type.

 

ID	Age	Urban	Mother_Edu	Father_Edu	Siblings	Black	Hispanic	White	Christian	WomenPlace	Male	FamilySize	Self_Esteem	Height	Weight	Outgoing_Kid	Outgoing_Adult	HealthPlan	Income	Marital_Status	Education	WeeksEmployed	NumberSpouses
1	21	1	8	8	1	0	0	1	1	0	0	5		65
2	20	1	5	8	8	0	0	1	1	1	0	5	16	62	120	0	1	1	0	1	12	0	1
3	18	1	10	12	3	0	0	1	1	0	0	5	20			1	1	1	0	1	12	52	1
4	17	1	11	12	3	0	0	1	1	0	0	5		67	110	0	1
5	20	1	12	12	1	0	0	1	1	0	1	4	23	63	130
6	19	1	12	12	1	0	0	1	1	0	1	4	27	64	200	1	1	1	40000	1	16	52	1
7	15	1	12	12	1	0	0	1	1	0	1	3	26	65	131	0	1	1	25000	3	12	52	2
8	21	1	9	6	7	0	0	1	0	0	0	3	23	65	179	1	1	1	27400	3	13	52	2
9	16	1	12	10	4	0	0	1	1	0	1	6	26	66	145	1	1	1	52000	1	14	52	1
10	19	1	12	12	3	0	0	1	1	0	0	3	19	66	115	0	1
11	20	1	12	12	1	0	0	1	1	0	1	3		71	155	1	1	1	55000	0	16	52	0
12	20	1	15	12	3	0	0	1	1	0	0	3	30	66	118	0	1
13	21	1	12	16	2	0	0	1	1	0	1	5	25	71	180	0	1	1	60000	2	16	52	1
14	16	1	12	12	2	0	0	1	1	0	0	5	21	67	135	1	1	1	48000	2	18	52	1
15	15	1	12	12	1	0	0	1	1	0	1	4	23	73	185	1	0	1	0	1	16	0	1
16	21	1	12	12	3	0	0	1	1	0	0	4	25	63	130	1	1	1	38000	1	13	52	1
17	22	1	12	15	2	0	0	1	0	0	1	2	24	69	160	1	1	0	48000	0	13	52	1
18	21	1	12	16	2	0	0	1	0	0	1	1	28	69	155	1	1	1	120000	3	13	52	2
19	22	1	10	12	3	0	0	1	1	0	0	2	28	64	120	1	1
20	20	1	12	18	2	0	0	1	1	0	0	5	21	64	120	0	1	1	52000	1	17	52	1
21	18	1	12	18	2	0	0	1	1	0	0	5	28	62	133	1	1	1	82000	1	16	52	1
22	16	1	12	12	1	0	0	1	1	0	0	4	17	64	110	0	1	1	36000	1	16	52	1
23	21	1	12	12	2	0	0	1	1	0	1	5		72	175
24	18	1	12	12	2	0	0	1	1	0	1	5	28	71	180	1	1
25	20	1	14	16	1	0	0	1	0	0	0	3	19	67	125	0	1	1	20000	1	14	52	1
26	17	1	16	17	2	0	0	1	1	0	1	4	25	67	136	1	1
27	19	1	14	20	1	0	0	1	1	0	0	4	23	63	123	1	1	1	13126	1	16	44	2
28	15	1	14	20	1	0	0	1	0	0	0	4	19	65	114	0	1	1	24000	3	13	52	3
29	19	1	0	4	1	0	0	1	0	1	0	4	30	67	146	0	1	1	50000	1	12	52	1
30	21	1