D_T_C/iphone_purchase_records.csv

1	Gender	Age	Salary	Purchase Iphone
2	Male	19	19000	0
3	Male	35	20000	0
4	Female	26	43000	0
5	Female	27	57000	0
6	Male	19	76000	0
7	Male	27	58000	0
8	Female	27	84000	0
9	Female	32	150000	1
10	Male	25	33000	0
11	Female	35	65000	0
12	Female	26	80000	0
13	Female	26	52000	0
14	Male	20	86000	0
15	Male	32	18000	0
16	Male	18	82000	0
17	Male	29	80000	0
18	Male	47	25000	1
19	Male	45	26000	1
20	Male	46	28000	1
21	Female	48	29000	1
22	Male	45	22000	1
23	Female	47	49000	1
24	Male	48	41000	1
25	Female	45	22000	1
26	Male	46	23000	1
27	Male	47	20000	1
28	Male	49	28000	1
29	Female	47	30000	1
30	Male	29	43000	0
31	Male	31	18000	0
32	Male	31	74000	0
33	Female	27	137000	1
34	Female	21	16000	0
35	Female	28	44000	0
36	Male	27	90000	0
37	Male	35	27000	0
38	Female	33	28000	0
39	Male	30	49000	0
40	Female	26	72000	0
41	Female	27	31000	0
42	Female	27	17000	0
43	Female	33	51000	0
44	Male	35	108000	0
45	Male	30	15000	0
46	Female	28	84000	0
47	Male	23	20000	0
48	Male	25	79000	0
49	Female	27	54000	0
50	Male	30	135000	1
51	Female	31	89000	0
52	Female	24	32000	0
53	Female	18	44000	0
54	Female	29	83000	0
55	Female	35	23000	0
56	Female	27	58000	0
57	Female	24	55000	0
58	Female	23	48000	0
59	Male	28	79000	0
60	Male	22	18000	0
61	Female	32	117000	0
62	Male	27	20000	0
63	Male	25	87000	0
64	Female	23	66000	0
65	Male	32	120000	1
66	Female	59	83000	0
67	Male	24	58000	0
68	Male	24	19000	0
69	Female	23	82000	0
70	Female	22	63000	0
71	Female	31	68000	0
72	Male	25	80000	0
73	Female	24	27000	0
74	Female	20	23000	0
75	Female	33	113000	0
76	Male	32	18000	0
77	Male	34	112000	1
78	Male	18	52000	0
79	Female	22	27000	0
80	Female	28	87000	0
81	Female	26	17000	0
82	Male	30	80000	0
83	Male	39	42000	0
84	Male	20	49000	0
85	Male	35	88000	0
86	Female	30	62000	0
87	Female	31	118000	1
88	Male	24	55000	0
89	Female	28	85000	0
90	Male	26	81000	0
91	Male	35	50000	0
92	Male	22	81000	0
93	Female	30	116000	0
94	Male	26	15000	0
95	Female	29	28000	0
96	Female	29	83000	0
97	Female	35	44000	0
98	Female	35	25000	0
99	Male	28	123000	1
100	Male	35	73000	0
101	Female	28	37000	0
102	Male	27	88000	0
103	Male	28	59000	0
104	Female	32	86000	0
105	Female	33	149000	1
106	Female	19	21000	0
107	Male	21	72000	0
108	Female	26	35000	0
109	Male	27	89000	0
110	Male	26	86000	0
111	Female	38	80000	0
112	Female	39	71000	0
113	Female	37	71000	0
114	Male	38	61000	0
115	Male	37	55000	0
116	Male	42	80000	0
117	Male	40	57000	0
118	Male	35	75000	0
119	Male	36	52000	0
120	Male	40	59000	0
121	Male	41	59000	0
122	Female	36	75000	0
123	Male	37	72000	0
124	Female	40	75000	0
125	Male	35	53000	0
126	Female	41	51000	0
127	Female	39	61000	0
128	Male	42	65000	0
129	Male	26	32000	0
130	Male	30	17000	0
131	Female	26	84000	0
132	Male	31	58000	0
133	Male	33	31000	0
134	Male	30	87000	0
135	Female	21	68000	0
136	Female	28	55000	0
137	Male	23	63000	0
138	Female	20	82000	0
139	Male	30	107000	1
140	Female	28	59000	0
141	Male	19	25000	0
142	Male	19	85000	0
143	Female	18	68000	0
144	Male	35	59000	0
145	Male	30	89000	0
146	Female	34	25000	0
147	Female	24	89000	0
148	Female	27	96000	1
149	Female	41	30000	0
150	Male	29	61000	0
151	Male	20	74000	0
152	Female	26	15000	0
153	Male	41	45000	0
154	Male	31	76000	0
155	Female	36	50000	0
156	Male	40	47000	0
157	Female	31	15000	0
158	Male	46	59000	0
159	Male	29	75000	0
160	Male	26	30000	0
161	Female	32	135000	1
162	Male	32	100000	1
163	Male	25	90000	0
164	Female	37	33000	0
165	Male	35	38000	0
166	Female	33	69000	0
167	Female	18	86000	0
168	Female	22	55000	0
169	Female	35	71000	0
170	Male	29	148000	1
171	Female	29	47000	0
172	Male	21	88000	0
173	Male	34	115000	0
174	Female	26	118000	0
175	Female	34	43000	0
176	Female	34	72000	0
177	Female	23	28000	0
178	Female	35	47000	0
179	Male	25	22000	0
180	Male	24	23000	0
181	Female	31	34000	0
182	Male	26	16000	0
183	Female	31	71000	0
184	Female	32	117000	1
185	Male	33	43000	0
186	Female	33	60000	0
187	Male	31	66000	0
188	Female	20	82000	0
189	Female	33	41000	0
190	Male	35	72000	0
191	Male	28	32000	0
192	Male	24	84000	0
193	Female	19	26000	0
194	Male	29	43000	0
195	Male	19	70000	0
196	Male	28	89000	0
197	Male	34	43000	0
198	Female	30	79000	0
199	Female	20	36000	0
200	Male	26	80000	0
201	Male	35	22000	0
202	Male	35	39000	0
203	Male	49	74000	0
204	Female	39	134000	1
205	Female	41	71000	0
206	Female	58	101000	1
207	Female	47	47000	0
208	Female	55	130000	1
209	Female	52	114000	0
210	Female	40	142000	1
211	Female	46	22000	0
212	Female	48	96000	1
213	Male	52	150000	1
214	Female	59	42000	0
215	Male	35	58000	0
216	Male	47	43000	0
217	Female	60	108000	1
218	Male	49	65000	0
219	Male	40	78000	0
220	Female	46	96000	0
221	Male	59	143000	1
222	Female	41	80000	0
223	Male	35	91000	1
224	Male	37	144000	1
225	Male	60	102000	1
226	Female	35	60000	0
227	Male	37	53000	0
228	Female	36	126000	1
229	Male	56	133000	1
230	Female	40	72000	0
231	Female	42	80000	1
232	Female	35	147000	1
233	Male	39	42000	0
234	Male	40	107000	1
235	Male	49	86000	1
236	Female	38	112000	0
237	Male	46	79000	1
238	Male	40	57000	0
239	Female	37	80000	0
240	Female	46	82000	0
241	Female	53	143000	1
242	Male	42	149000	1
243	Male	38	59000	0
244	Female	50	88000	1
245	Female	56	104000	1
246	Female	41	72000	0
247	Female	51	146000	1
248	Female	35	50000	0
249	Female	57	122000	1
250	Male	41	52000	0
251	Female	35	97000	1
252	Female	44	39000	0
253	Male	37	52000	0
254	Female	48	134000	1
255	Female	37	146000	1
256	Female	50	44000	0
257	Female	52	90000	1
258	Female	41	72000	0
259	Male	40	57000	0
260	Female	58	95000	1
261	Female	45	131000	1
262	Female	35	77000	0
263	Male	36	144000	1
264	Female	55	125000	1
265	Female	35	72000	0
266	Male	48	90000	1
267	Female	42	108000	1
268	Male	40	75000	0
269	Male	37	74000	0
270	Female	47	144000	1
271	Male	40	61000	0
272	Female	43	133000	0
273	Female	59	76000	1
274	Male	60	42000	1
275	Male	39	106000	1
276	Female	57	26000	1
277	Male	57	74000	1
278	Male	38	71000	0
279	Male	49	88000	1
280	Female	52	38000	1
281	Female	50	36000	1
282	Female	59	88000	1
283	Male	35	61000	0
284	Male	37	70000	1
285	Female	52	21000	1
286	Male	48	141000	0
287	Female	37	93000	1
288	Female	37	62000	0
289	Female	48	138000	1
290	Male	41	79000	0
291	Female	37	78000	1
292	Male	39	134000	1
293	Male	49	89000	1
294	Male	55	39000	1
295	Male	37	77000	0
296	Female	35	57000	0
297	Female	36	63000	0
298	Male	42	73000	1
299	Female	43	112000	1
300	Male	45	79000	0
301	Male	46	117000	1
302	Female	58	38000	1
303	Male	48	74000	1
304	Female	37	137000	1
305	Male	37	79000	1
306	Female	40	60000	0
307	Male	42	54000	0
308	Female	51	134000	0
309	Female	47	113000	1
310	Male	36	125000	1
311	Female	38	50000	0
312	Female	42	70000	0
313	Male	39	96000	1
314	Female	38	50000	0
315	Female	49	141000	1
316	Female	39	79000	0
317	Female	39	75000	1
318	Female	54	104000	1
319	Male	35	55000	0
320	Male	45	32000	1
321	Male	36	60000	0
322	Female	52	138000	1
323	Female	53	82000	1
324	Male	41	52000	0
325	Female	48	30000	1
326	Female	48	131000	1
327	Female	41	60000	0
328	Male	41	72000	0
329	Female	42	75000	0
330	Male	36	118000	1
331	Female	47	107000	1
332	Male	38	51000	0
333	Female	48	119000	1
334	Male	42	65000	0
335	Male	40	65000	0
336	Male	57	60000	1
337	Female	36	54000	0
338	Male	58	144000	1
339	Male	35	79000	0
340	Female	38	55000	0
341	Male	39	122000	1
342	Female	53	104000	1
343	Male	35	75000	0
344	Female	38	65000	0
345	Female	47	51000	1
346	Male	47	105000	1
347	Female	41	63000	0
348	Male	53	72000	1
349	Female	54	108000	1
350	Male	39	77000	0
351	Male	38	61000	0
352	Female	38	113000	1
353	Male	37	75000	0
354	Female	42	90000	1
355	Female	37	57000	0
356	Male	36	99000	1
357	Male	60	34000	1
358	Male	54	70000	1
359	Female	41	72000	0
360	Male	40	71000	1
361	Male	42	54000	0
362	Male	43	129000	1
363	Female	53	34000	1
364	Female	47	50000	1
365	Female	42	79000	0
366	Male	42	104000	1
367	Female	59	29000	1
368	Female	58	47000	1
369	Male	46	88000	1
370	Male	38	71000	0
371	Female	54	26000	1
372	Female	60	46000	1
373	Male	60	83000	1
374	Female	39	73000	0
375	Male	59	130000	1
376	Female	37	80000	0
377	Female	46	32000	1
378	Female	46	74000	0
379	Female	42	53000	0
380	Male	41	87000	1
381	Female	58	23000	1
382	Male	42	64000	0
383	Male	48	33000	1
384	Female	44	139000	1
385	Male	49	28000	1
386	Female	57	33000	1
387	Male	56	60000	1
388	Female	49	39000	1
389	Male	39	71000	0
390	Male	47	34000	1
391	Female	48	35000	1
392	Male	48	33000	1
393	Male	47	23000	1
394	Female	45	45000	1
395	Male	60	42000	1
396	Female	39	59000	0
397	Female	46	41000	1
398	Male	51	23000	1
399	Female	50	20000	1
400	Male	36	33000	0
401	Female	49	36000	1