Combine the classes of the response variable into two meta classes so that it is NoMore versus others. Publishers want to ID those who might stop using the book to take proactive action. 1. Split the data into training (60%) and validation (40%) datasets. Use the random seed 202. 2. Run Logistic Regression, KNN and Neural Nets models. Report the validation confusion matrix for each of the three models. 3. Compare the error rates of validation sets for the three individual methods. 4. Produce gains and decile lift charts on the validation set using your models and compare their performance..

University	Enrollment	AvgSAT	PctTenure	PCLabs	PctOwnPC	Tuition	Status
1	17455	1068	0.793	154	0.465	17400	Never
2	14445	1173	0.846	162	0.506	16300	Never
3	14773	1122	0.809	158	0.68	15600	Never
4	16138	992	0.634	133	0.542	10100	Never
5	16717	1141	0.807	123	0.644	16500	Never
6	18002	1109	0.845	127	0.509	10300	Never
7	14030	1180	0.852	146	0.565	14200	Never
8	17459	1146	0.79	144	0.576	14100	Never
9	13931	1127	0.788	126	0.6	13300	Never
10	13046	984	0.718	143	0.417	17700	Never
11	17171	1121	0.768	148	0.491	13200	Never
12	14944	1230	0.807	161	0.7	13200	Never
13	13300	1194	0.836	173	0.53	19700	Never
14	14399	1178	0.837	160	0.66	14900	Never
15	12743	1035	0.88	116	0.47	16300	Never
16	14170	1215	0.792	175	0.481	14700	Never
17	12570	1283	0.9	147	0.65	19800	Never
18	14214	1061	0.9	120	0.523	13100	Never
19	14551	1338	0.852	170	0.563	20600	Never
20	13745	1097	0.801	130	0.516	12900	Never
21	14254	1145	0.748	131	0.529	14900	Never
22	17633	973	0.809	140	0.435	12800	Never
23	13873	1074	0.824	160	0.505	16000	Never
24	17190	1042	0.764	156	0.518	16000	Never
25	13769	1216	0.805	159	0.633	17000	Never
26	12812	1206	0.762	137	0.518	14600	Never
27	15261	1228	0.793	175	0.539	17300	Never
28	14724	1035	0.757	166	0.584	14500	Never
29	13071	1091	0.809	108	0.478	13700	Never
30	14238	1072	0.81	188	0.595	17200	Never
31	12429	1222	0.907	186	0.545	17700	Never
32	14002	1114	0.765	134	0.615	18300	Never
33	12216	1170	0.825	158	0.58	14200	Never
34	17597	989	0.76	139	0.245	7400	Never
35	18677	1235	0.74	170	0.612	11800	Never
36	14965	1250	0.866	140	0.64	13800	Never
37	15416	1098	0.771	179	0.494	15700	Never
38	12783	1212	0.748	105	0.605	11700	Never
39	15072	1225	0.929	151	0.638	17400	Never
40	14177	980	0.791	128	0.577	14000	Never
41	16326	1025	0.673	129	0.414	11800	NoMore
42	15580	939	0.612	78	0.436	8800	NoMore
43	11617	1023	0.681	122	0.583	16800	NoMore
44	18085	850	0.58	164	0.351	9100	NoMore
45	15829	800	0.494	71	0.357	5400	NoMore
46	15401	787	0.509	47	0.323	4700	NoMore
47	15469	956	0.589	124	0.497	8700	NoMore
48	15517	877	0.593	81	0.392	11300	NoMore
49	15720	917	0.529	110	0.301	6900	NoMore
50	17307	976	0.599	133	0.621	12700	NoMore
51	18105	918	0.508	130	0.449	8600	NoMore
52	14828	864	0.581	95	0.435	9200	NoMore
53	16715	1059	0.634	117	0.521	9400	NoMore
54	14261	960	0.578	136	0.53	13800	NoMore
55	16264	905	0.668	81	0.532	15700	NoMore
56	14026	995	0.636	61	0.375	7600	NoMore
57	16160	840	0.626	48	0.321	4400	NoMore
58	15439	1035	0.63	114	0.474	12800	NoMore
59	10810	929	0.657	56	0.538	9400	NoMore
60	14612	824	0.498	112	0.461	8000	NoMore
61	12888	1112	0.619	78	0.684	9900	NoMore
62	11957	1108	0.631	148	0.542	13600	NoMore
63	12154	952	0.684	124	0.405	7700	NoMore
64	10946	809	0.803	34	0.52	16100	NoMore
65	11891	892	0.606	96	0.439	7900	NoMore
66	13922	955	0.686	123	0.448	12300	NoMore
67	14520	912	0.601	127	0.35	9400	NoMore
68	17968	864	0.665	97	0.294	8100	NoMore
69	10916	987	0.675	75	0.582	8600	NoMore
70	15363	818	0.534	87	0.231	6300	NoMore
71	18338	841	0.507	127	0.248	7600	NoMore
72	15147	874	0.645	132	0.379	13900	NoMore
73	18030	673	0.441	117	0.257	6700	NoMore
74	16704	1080	0.544	131	0.601	13500	NoMore
75	14999	829	0.541	72	0.333	6300	NoMore
76	14457	938	0.512	92	0.442	9400	NoMore
77	12602	981	0.586	91	0.596	13100	NoMore
78	16346	988	0.602	133	0.586	12300	Still
79	21555	1213	0.717	175	0.601	13300	Still
80	24741	936	0.681	193	0.601	10600	Still
81	17173	1073	0.648	125	0.634	10800	Still
82	19029	1067	0.72	148	0.611	14400	Still
83	19378	999	0.617	142	0.677	13700	Still
84	20707	974	0.684	93	0.444	11000	Still
85	24944	769	0.587	173	0.518	8200	Still
86	20224	932	0.555	186	0.344	4400	Still
87	18126	983	0.552	150	0.633	7700	Still
88	15750	854	0.575	153	0.593	15400	Still
89	19610	1060	0.595	189	0.692	13800	Still
90	16076	995	0.595	130	0.491	9200	Still
91	21176	1114	0.594	214	0.546	15200	Still
92	20584	888	0.552	104	0.579	5900	Still
93	19160	842	0.58	133	0.415	7500	Still
94	18687	835	0.59	112	0.558	7900	Still
95	16373	1016	0.568	181	0.503	9100	Still
96	18616	899	0.552	136	0.367	10100	Still
97	18853	938	0.643	195	0.605	11800	Still
98	20091	1000	0.556	187	0.53	11000	Still
99	20415	948	0.632	119	0.435	8100	Still
100	22010	846	0.51	162	0.424	6900	Still
101	19816	993	0.471	143	0.348	9600	Still
102	15641	1003	0.657	192	0.596	16000	Still
103	17743	947	0.621	133	0.509	4600	Still
104	21085	981	0.577	132	0.557	7200	Still
105	19378	868	0.545	109	0.523	4400	Still
106	24108	789	0.512	164	0.326	2800	Still
107	20918	885	0.535	134	0.427	5400	Still
108	20353	973	0.564	153	0.604	12000	Still
109	19182	955	0.606	171	0.468	6600	Still
110	18713	955	0.617	156	0.613	7400	Still
111	15143	924	0.544	134	0.457	9000	Still
112	18436	989	0.568	169	0.338	8700	Still
113	18688	1028	0.659	146	0.588	12100	Still
114	19954	779	0.5	134	0.42	12400	Still
115	20276	1048	0.65	165	0.461	7500	Still
116	19121	912	0.612	167	0.595	11500	Still
117	20965	1016	0.571	161	0.57	6300	Still
118	23793	800	0.63	162	0.519	10800	Still
119	19238	892	0.639	180	0.528	14000	Still