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imbalanced-data-practice

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train · 382k rows

id int64	Gender string	Age int64	Driving_License int64	Region_Code float64	Previously_Insured int64	Vehicle_Age string	Vehicle_Damage string	Annual_Premium float64	Policy_Sales_Channel float64	Vintage int64	Response int64
418,869	Female	45	1	28	0	1-2 Year	Yes	38,190	124	266	1
470,005	Male	53	1	48	1	1-2 Year	No	2,630	124	271	0
52,700	Male	64	1	28	0	1-2 Year	Yes	37,186	122	278	0
357,263	Male	72	1	28	0	1-2 Year	Yes	35,005	124	197	0
286,000	Female	40	1	28	0	1-2 Year	Yes	40,095	124	166	0
311,478	Female	22	1	3	0	< 1 Year	No	23,324	152	107	0
355,297	Male	31	1	50	1	1-2 Year	No	33,598	124	209	0
356,096	Female	52	1	41	0	1-2 Year	Yes	44,919	26	221	0
393,247	Male	57	1	8	0	1-2 Year	Yes	40,269	26	15	1
464,033	Male	56	1	8	1	1-2 Year	No	2,630	124	57	0
495,581	Female	41	1	3	1	1-2 Year	No	2,630	124	174	0
102,243	Male	34	1	8	0	1-2 Year	Yes	40,952	124	130	0
38,320	Female	63	1	23	1	1-2 Year	No	31,567	125	267	0
136,388	Male	45	1	28	0	1-2 Year	Yes	41,461	26	153	0
108,632	Female	26	1	8	1	< 1 Year	No	35,741	160	234	0
330,920	Male	50	1	29	0	1-2 Year	Yes	29,592	124	194	0
172,592	Female	25	1	15	1	< 1 Year	No	41,491	152	153	0
428,683	Male	23	1	25	1	< 1 Year	No	29,501	152	25	0
227,385	Male	49	1	2	1	1-2 Year	Yes	25,269	26	136	0
126,243	Male	46	1	47	0	1-2 Year	Yes	28,384	124	36	0
224,471	Male	63	1	28	0	> 2 Years	Yes	34,606	122	83	0
266,593	Female	62	1	8	0	1-2 Year	Yes	40,934	26	200	1
388,082	Female	76	1	41	1	1-2 Year	No	39,541	26	211	0
11,053	Female	22	1	10	0	< 1 Year	Yes	27,323	152	122	0
37,988	Female	29	1	21	1	< 1 Year	No	38,540	152	66	0
102,172	Female	68	1	11	1	1-2 Year	No	46,044	26	119	0
397,177	Male	28	1	50	1	< 1 Year	No	29,237	152	61	0
233,803	Male	39	1	28	1	1-2 Year	No	53,000	26	11	0
266,749	Male	51	1	0	0	1-2 Year	Yes	2,630	26	197	1
210,413	Male	63	1	46	1	1-2 Year	No	28,557	124	143	0
99,351	Female	32	1	39	0	1-2 Year	Yes	31,622	26	249	1
218,588	Male	24	1	28	1	< 1 Year	No	37,473	153	174	0
462,008	Male	25	1	8	1	< 1 Year	No	30,479	152	26	0
125,829	Male	39	1	28	0	1-2 Year	Yes	29,238	124	47	0
233,203	Female	22	1	37	0	< 1 Year	Yes	40,728	152	106	0
375,601	Female	39	1	28	0	1-2 Year	Yes	46,352	26	172	1
86,556	Female	24	1	6	1	< 1 Year	No	21,915	152	91	0
369,055	Female	55	1	33	0	1-2 Year	No	26,225	157	289	0
433,282	Male	24	1	50	1	< 1 Year	No	36,702	152	170	0
201,980	Male	44	1	28	0	1-2 Year	Yes	31,072	26	246	0
85,954	Female	61	1	15	0	1-2 Year	No	27,829	31	234	0
227,081	Female	76	1	28	0	1-2 Year	Yes	35,585	26	14	0
222,324	Female	29	1	40	0	< 1 Year	Yes	40,999	152	287	0
333,341	Male	46	1	41	0	1-2 Year	No	31,236	152	292	0
313,558	Male	33	1	28	0	< 1 Year	Yes	62,690	124	249	1
318,099	Male	51	1	8	0	1-2 Year	Yes	27,370	124	173	0
278,646	Male	26	1	18	1	< 1 Year	No	30,369	152	41	0
47,795	Male	42	1	28	0	1-2 Year	Yes	26,773	124	175	0
27,277	Female	23	1	29	1	< 1 Year	No	35,949	152	91	0
240,945	Male	21	1	11	1	< 1 Year	No	72,641	152	280	0
46,104	Male	25	1	39	1	< 1 Year	No	29,864	152	47	0
355,444	Female	48	1	28	0	> 2 Years	Yes	44,392	26	261	0
163,724	Male	28	1	3	1	1-2 Year	No	2,630	156	194	0
249,340	Male	62	1	28	0	1-2 Year	Yes	49,845	26	118	0
42,471	Female	42	1	29	0	1-2 Year	Yes	22,307	157	118	0
83,592	Male	44	1	8	0	1-2 Year	Yes	2,630	157	223	0
309,002	Male	76	1	17	1	1-2 Year	No	39,970	30	263	0
362,516	Female	28	1	33	1	< 1 Year	No	2,630	160	58	0
26,380	Female	25	1	45	0	< 1 Year	Yes	32,491	152	113	0
147,689	Female	30	1	41	1	< 1 Year	No	60,664	152	213	0
467,342	Male	30	1	46	1	< 1 Year	No	26,030	152	39	0
331,065	Female	23	1	21	1	< 1 Year	No	29,540	151	229	0
156,549	Female	36	1	28	0	1-2 Year	Yes	29,726	124	12	1
430,581	Female	45	1	28	1	1-2 Year	No	40,243	26	109	0
392,565	Male	22	1	30	1	< 1 Year	No	30,283	152	43	0
206,345	Male	52	1	30	0	1-2 Year	Yes	33,669	124	284	0
151,400	Female	64	1	28	1	1-2 Year	No	59,087	26	98	0
203,775	Male	59	1	8	0	1-2 Year	Yes	36,386	26	267	0
462,797	Male	22	1	37	1	< 1 Year	No	41,185	152	292	0
302,003	Female	45	1	41	0	1-2 Year	Yes	32,156	156	55	0
99,343	Male	40	1	28	0	1-2 Year	Yes	31,567	26	272	1
393,406	Male	41	1	46	0	1-2 Year	Yes	27,396	26	113	1
360,293	Male	21	1	30	1	< 1 Year	Yes	42,784	152	183	0
75,328	Male	58	1	51	0	> 2 Years	Yes	2,630	124	107	0
397,384	Female	70	1	24	1	1-2 Year	No	43,391	26	136	0
63,946	Female	49	1	49	0	1-2 Year	Yes	34,911	124	138	0
148,589	Male	48	1	7	0	> 2 Years	Yes	33,707	156	93	0
102,575	Female	50	1	28	0	1-2 Year	No	44,397	26	281	0
372,940	Male	42	1	28	0	1-2 Year	Yes	33,266	154	130	0
300,000	Female	24	1	7	0	< 1 Year	Yes	31,129	152	46	0
249,018	Female	25	1	28	1	< 1 Year	No	61,893	152	17	0
261,521	Female	43	1	33	0	1-2 Year	Yes	31,487	124	123	0
330,860	Male	46	1	47	1	1-2 Year	No	25,175	124	148	0
286,792	Male	42	1	8	0	1-2 Year	Yes	56,020	26	231	0
69,174	Female	76	0	39	0	1-2 Year	Yes	37,949	122	48	0
451,816	Female	55	1	28	1	1-2 Year	No	29,100	26	223	0
141,868	Female	27	1	29	1	< 1 Year	No	19,449	152	217	0
146,970	Male	45	1	28	1	1-2 Year	Yes	29,064	124	186	0
376,943	Male	45	1	2	0	1-2 Year	Yes	28,972	26	86	0
154,175	Male	24	1	6	0	< 1 Year	Yes	32,935	152	85	0
11,867	Male	48	1	28	0	1-2 Year	Yes	33,547	124	192	0
442,331	Female	48	1	28	0	1-2 Year	Yes	29,851	26	207	1
375,569	Female	52	1	8	0	1-2 Year	Yes	34,678	26	86	0
80,930	Female	64	1	50	1	1-2 Year	Yes	41,136	8	204	0
406,106	Male	20	1	30	1	< 1 Year	No	28,881	160	42	0
374,199	Male	60	1	28	1	1-2 Year	No	64,138	124	88	0
60,276	Male	50	1	41	1	1-2 Year	No	31,045	12	63	0
85,361	Male	22	1	7	1	< 1 Year	No	38,395	160	71	0
165,813	Female	22	1	8	1	< 1 Year	No	25,932	160	252	0
260,536	Female	44	1	46	0	1-2 Year	Yes	64,182	11	88	0

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