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codesignal
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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
336,024	Female	28	1	28	1	< 1 Year	No	41,872	152	124	0
299,930	Female	24	1	50	1	< 1 Year	No	37,427	152	115	0
307,624	Male	42	1	28	0	1-2 Year	No	49,264	157	49	0
270,699	Male	62	1	28	0	1-2 Year	Yes	31,292	26	147	0
296,550	Female	43	1	8	1	1-2 Year	No	52,645	26	30	0
16,425	Male	49	1	8	0	1-2 Year	Yes	34,243	26	283	1
180,913	Male	57	1	29	1	1-2 Year	No	34,292	124	238	0
73,412	Female	76	1	28	0	1-2 Year	Yes	38,330	42	263	0
320,885	Male	41	1	28	0	1-2 Year	Yes	27,521	124	87	0
297,904	Female	26	1	15	1	< 1 Year	No	40,777	152	149	0
425,269	Male	41	1	44	0	1-2 Year	Yes	33,672	163	143	1
384,397	Male	33	1	30	0	1-2 Year	Yes	23,819	157	289	1
237,553	Female	43	1	28	0	1-2 Year	Yes	41,832	124	15	0
226,419	Male	20	1	34	0	< 1 Year	No	33,330	160	203	0
292,627	Male	46	1	13	0	1-2 Year	Yes	30,879	124	112	0
885	Male	72	1	28	0	1-2 Year	No	60,923	124	179	0
75,255	Male	25	1	4	0	< 1 Year	Yes	19,904	26	75	0
109,037	Female	63	1	28	1	1-2 Year	No	30,035	26	42	0
168,727	Female	50	1	15	0	1-2 Year	Yes	36,258	124	90	0
143,681	Male	25	1	15	0	< 1 Year	No	2,630	152	292	0
49,411	Male	31	1	8	1	< 1 Year	No	44,316	152	69	0
210,502	Female	38	1	11	0	1-2 Year	Yes	2,630	156	11	0
500,856	Male	25	1	14	1	< 1 Year	No	34,289	152	247	0
188,920	Female	30	1	0	1	< 1 Year	No	2,630	151	55	0
348,447	Female	22	1	30	0	< 1 Year	Yes	26,193	152	169	0
15,882	Female	37	1	8	1	1-2 Year	No	27,052	152	78	0
465,374	Male	38	1	28	0	1-2 Year	Yes	35,123	154	197	1
324,985	Male	59	1	23	1	1-2 Year	No	26,048	26	275	0
130,680	Male	30	1	44	0	< 1 Year	Yes	45,102	152	217	0
467,156	Female	31	1	28	0	1-2 Year	Yes	43,419	26	85	1
492,319	Female	60	1	17	1	1-2 Year	No	40,338	124	187	0
258,878	Female	62	1	28	1	1-2 Year	No	49,746	124	189	0
210,156	Male	47	1	28	0	1-2 Year	Yes	40,097	26	47	0
35,008	Male	45	1	47	0	1-2 Year	Yes	27,719	26	155	0
485,807	Male	44	1	41	0	1-2 Year	Yes	20,750	26	174	1
274,324	Female	22	1	8	1	< 1 Year	No	81,052	152	286	0
404,830	Male	25	1	8	1	< 1 Year	No	55,551	152	279	0
105,372	Female	75	1	46	0	1-2 Year	Yes	2,630	11	163	0
154,082	Male	22	1	43	0	< 1 Year	Yes	21,292	160	271	0
137,890	Female	59	1	6	0	1-2 Year	No	30,231	152	68	0
310,972	Female	23	1	29	1	< 1 Year	No	2,630	152	288	0
312,450	Female	23	1	41	1	< 1 Year	No	41,507	152	101	0
220,313	Male	34	1	22	0	1-2 Year	Yes	34,036	26	10	1
13,649	Male	75	1	28	1	1-2 Year	No	60,700	26	117	0
424,164	Female	48	1	28	0	1-2 Year	Yes	37,459	124	214	1
491,692	Male	50	1	26	1	1-2 Year	No	40,426	124	58	0
285,479	Female	22	1	28	0	< 1 Year	Yes	35,090	160	216	0
437,802	Female	68	1	39	1	1-2 Year	No	30,251	30	154	0
147,966	Male	41	1	41	0	1-2 Year	Yes	2,630	26	44	0
360,817	Female	29	1	46	1	< 1 Year	No	39,150	152	63	0
260,720	Male	52	1	28	0	> 2 Years	Yes	55,727	124	123	0
150,670	Female	23	1	47	1	< 1 Year	No	35,112	152	276	0
357,084	Female	74	1	50	1	1-2 Year	Yes	41,868	124	22	0
209,067	Female	35	1	8	1	1-2 Year	No	33,539	19	248	0
137,449	Male	50	1	44	0	1-2 Year	No	2,630	124	169	0
251,482	Male	41	1	48	0	> 2 Years	Yes	2,630	124	138	1
492,658	Male	45	1	14	0	1-2 Year	Yes	25,452	124	157	1
368,344	Male	21	1	3	0	< 1 Year	Yes	27,734	154	192	0
469,369	Male	23	1	8	1	< 1 Year	No	28,774	26	71	0
382,497	Female	25	1	10	1	< 1 Year	No	39,071	152	46	0
451,999	Male	34	1	28	0	1-2 Year	Yes	2,630	26	177	1
96,771	Male	30	1	35	0	< 1 Year	Yes	20,672	26	53	1
109,531	Male	52	1	48	1	1-2 Year	No	2,630	11	231	0
356,507	Male	25	1	8	0	< 1 Year	Yes	40,476	152	165	0
289,166	Male	21	1	22	1	< 1 Year	No	25,342	160	189	0
166,468	Male	40	1	30	1	1-2 Year	No	27,428	125	299	0
418,156	Male	54	1	20	1	1-2 Year	No	2,630	26	223	0
372,457	Female	51	1	28	0	1-2 Year	Yes	36,529	31	47	1
457,736	Male	40	1	28	0	1-2 Year	Yes	2,630	26	146	1
261,359	Female	26	1	35	0	< 1 Year	Yes	23,692	155	153	0
102,395	Female	22	1	10	1	< 1 Year	No	27,954	152	81	0
475,014	Male	42	1	28	0	1-2 Year	Yes	25,319	26	38	1
179,639	Female	23	1	6	1	< 1 Year	No	35,760	26	285	0
408,883	Female	22	1	29	1	< 1 Year	No	22,325	152	212	0
58,454	Male	24	1	15	0	< 1 Year	Yes	37,089	152	21	0
149,370	Male	33	1	28	1	< 1 Year	No	38,651	152	12	0
1,236	Male	27	1	46	0	< 1 Year	Yes	2,630	152	211	0
17,777	Male	34	1	28	0	1-2 Year	Yes	39,151	26	170	1
68,239	Female	25	1	28	0	1-2 Year	Yes	36,959	157	189	0
197,734	Male	43	1	3	0	1-2 Year	Yes	2,630	156	24	1
191,212	Male	24	1	3	1	< 1 Year	No	64,155	152	82	0
244,714	Female	27	1	50	1	< 1 Year	No	23,930	160	205	0
493,327	Male	38	1	36	0	1-2 Year	Yes	2,630	26	131	1
143,005	Female	27	1	8	1	< 1 Year	No	38,003	152	269	0
245,762	Male	24	1	36	1	< 1 Year	No	38,524	152	78	0
363,560	Male	25	1	11	1	< 1 Year	No	26,677	152	218	0
264,714	Female	52	1	28	0	1-2 Year	Yes	69,433	26	99	0
446,496	Male	53	1	46	1	1-2 Year	No	48,626	124	63	0
17,554	Male	29	1	29	1	< 1 Year	No	2,630	152	197	0
238,037	Female	30	1	49	0	1-2 Year	Yes	2,630	156	299	0
210,630	Female	65	1	8	0	1-2 Year	Yes	47,895	26	46	1
10,251	Female	74	1	46	1	1-2 Year	No	36,570	26	10	0
317,027	Male	41	1	40	0	1-2 Year	Yes	23,457	124	101	0
240,384	Female	28	1	46	1	< 1 Year	No	28,308	152	43	0
166,223	Female	30	1	49	1	< 1 Year	No	14,705	152	82	0
337,354	Male	23	1	45	1	< 1 Year	No	30,306	152	118	0
78,181	Male	70	1	28	0	1-2 Year	Yes	68,156	122	114	0
89,891	Female	39	1	36	0	1-2 Year	No	2,630	156	40	0
187,504	Male	41	1	28	0	1-2 Year	Yes	37,201	124	22	0
155,719	Male	59	1	25	1	1-2 Year	No	28,884	26	259	0

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