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akkiboy
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customer-churn-dataset

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train · 5k rows

CustomerID string	Tenure int64	PreferedLoginDevice string	CityTier int64	WarhouseToHome int64	PreferdPaymentMode string	Gender string	HourSpendOnApp float64	NumberOfDeviceRegistered int64	PreferedOrderCat string	SatisfactionScore int64	MartialStatus string	NumberOfAddress int64	Complain int64	OrderAmountHikeFormLastYear float64	CouponUsed int64	OrderCount int64	DaySinceLastOrder int64	CashbackAmount float64	Churn int64
C00001	39	Computer	2	8	UPI	Male	2.01	1	Others	5	Married	2	0	0.67	3	11	89	480.02	1
C00002	52	Phone	2	2	UPI	Male	2.59	2	Mobile Phone	5	Single	2	0	0.67	2	12	33	414.45	0
C00003	29	Computer	1	8	Cash on Delivery	Female	4.67	1	Fashion	5	Divorced	1	0	0.67	4	16	29	246.96	1
C00004	15	Computer	3	4	CC	Male	4.56	5	Laptop & Accessory	3	Divorced	1	0	0.67	2	7	81	146.75	0
C00005	43	Phone	1	10	Debit Card	Male	0.9	1	Others	1	Married	4	0	0.67	0	27	80	459.66	0
C00006	8	Phone	2	10	CC	Male	1.09	4	Laptop & Accessory	3	Divorced	1	0	0.67	3	3	41	148.66	0
C00007	21	Computer	1	1	E Wallet	Male	2.73	4	Grocery	5	Divorced	3	0	0.67	1	2	20	270.53	0
C00008	39	Phone	1	5	Cash on Delivery	Male	0.98	1	Laptop & Accessory	5	Divorced	3	0	0.67	3	3	87	137.63	0
C00009	58	Phone	2	1	Cash on Delivery	Male	2.06	3	Mobile Phone	5	Divorced	2	0	0.67	1	8	3	486.2	1
C00010	19	Mobile Phone	1	7	COD	Male	1.17	5	Others	5	Divorced	2	0	0.67	5	20	48	40.05	1
C00011	23	Phone	3	8	COD	Male	3.36	1	Others	2	Divorced	2	0	0.67	0	8	47	103.69	1
C00012	11	Phone	1	3	Credit Card	Male	4.77	3	Laptop & Accessory	5	Single	4	0	0.67	2	4	88	387.22	1
C00013	11	Mobile Phone	2	3	Credit Card	Female	4.99	1	Fashion	3	Single	2	0	0.67	0	23	50	92.69	1
C00014	24	Phone	2	7	UPI	Female	2.19	2	Mobile Phone	5	Married	4	0	0.67	3	13	23	490.09	1
C00015	53	Computer	1	4	Credit Card	Female	3.2	4	Fashion	4	Married	2	0	0.67	1	22	45	174.25	1
C00016	36	Phone	1	3	Credit Card	Female	4.35	2	Mobile Phone	2	Single	3	1	0.67	5	26	26	460.95	1
C00017	40	Mobile Phone	2	8	Cash on Delivery	Male	1.03	2	Fashion	5	Single	2	0	0.67	1	17	50	337.89	0
C00018	24	Computer	2	3	Credit Card	Female	3.6	5	Laptop & Accessory	4	Married	1	0	0.67	3	29	19	324.38	0
C00019	3	Computer	2	7	UPI	Male	2.34	3	Fashion	3	Divorced	2	0	0.67	3	27	79	459.38	1
C00020	22	Mobile Phone	2	2	Credit Card	Female	1.43	4	Laptop & Accessory	2	Single	1	0	0.67	0	24	70	266.37	1
C00021	53	Mobile Phone	2	1	Cash on Delivery	Male	2.31	2	Fashion	5	Single	1	0	0.67	4	22	17	212.37	0
C00022	2	Mobile Phone	1	6	Debit Card	Male	0.84	4	Mobile Phone	3	Divorced	1	0	0.67	1	18	7	124.46	1
C00023	24	Computer	2	8	E Wallet	Male	3.63	3	Laptop & Accessory	4	Divorced	1	0	0.67	3	5	26	89.38	1
C00024	44	Phone	3	1	Cash on Delivery	Female	1.64	1	Laptop & Accessory	2	Divorced	4	0	0.67	0	12	13	400.05	1
C00025	30	Phone	2	10	Debit Card	Male	1.9	2	Fashion	5	Married	4	0	0.67	4	2	17	81.41	1
C00026	38	Mobile Phone	2	9	COD	Male	1.04	3	Laptop & Accessory	3	Divorced	2	0	0.67	2	10	64	209.13	0
C00027	2	Phone	2	3	CC	Male	4.39	4	Fashion	2	Single	2	0	0.67	3	7	30	216.42	1
C00028	60	Mobile Phone	2	3	COD	Male	2.72	3	Laptop & Accessory	4	Divorced	4	0	0.67	4	15	19	338.96	1
C00029	21	Computer	2	4	E Wallet	Female	3.07	1	Laptop & Accessory	5	Single	2	0	0.67	2	27	69	153.69	1
C00030	33	Mobile Phone	2	1	COD	Female	3.06	3	Fashion	2	Single	2	0	0.67	5	26	44	422.35	1
C00031	12	Mobile Phone	3	9	Cash on Delivery	Female	2.35	4	Fashion	4	Divorced	4	0	0.67	2	22	0	119.59	1
C00032	58	Phone	1	3	CC	Female	1.37	2	Grocery	4	Married	4	0	0.67	0	7	18	398.79	0
C00033	22	Mobile Phone	1	10	COD	Male	3.85	2	Grocery	3	Divorced	2	0	0.67	1	15	38	427.88	0
C00034	44	Phone	2	4	E Wallet	Female	1.07	5	Others	4	Divorced	4	0	0.67	3	16	26	112.73	0
C00035	25	Phone	3	1	Debit Card	Female	0.97	4	Laptop & Accessory	4	Divorced	3	0	0.67	4	22	55	408.52	1
C00036	49	Mobile Phone	1	4	Debit Card	Female	3.7	5	Grocery	1	Single	1	0	0.67	5	26	15	362.6	0
C00037	27	Phone	1	1	CC	Male	1.44	5	Laptop & Accessory	4	Married	1	0	0.67	5	1	77	439.7	1
C00038	59	Mobile Phone	1	5	UPI	Male	1.88	1	Laptop & Accessory	5	Divorced	3	1	0.67	2	15	6	264.78	1
C00039	42	Phone	1	5	COD	Female	2.64	4	Mobile Phone	2	Single	3	0	0.67	5	3	19	132.25	0
C00040	28	Mobile Phone	2	7	Cash on Delivery	Male	2.52	2	Others	5	Married	2	0	0.67	1	10	30	457.78	0
C00041	60	Phone	2	8	COD	Male	3.69	4	Mobile Phone	5	Divorced	2	0	0.67	2	16	85	399.22	0
C00042	16	Phone	2	4	CC	Male	3.31	1	Mobile Phone	3	Single	1	0	0.67	3	2	83	30.07	0
C00043	15	Computer	2	7	Debit Card	Female	3.4	4	Others	1	Divorced	2	0	0.67	3	17	78	470.92	0
C00044	47	Computer	1	4	Debit Card	Male	3.71	4	Others	1	Single	1	0	0.67	5	1	24	475.29	1
C00045	51	Phone	1	3	CC	Male	1.82	5	Fashion	5	Married	2	0	0.67	0	4	0	190.55	0
C00046	44	Mobile Phone	2	6	E Wallet	Male	1.95	4	Mobile Phone	2	Divorced	2	0	0.67	3	11	16	24.81	0
C00047	55	Mobile Phone	3	4	COD	Male	2.47	5	Laptop & Accessory	1	Married	1	0	0.67	3	17	79	285.22	1
C00048	52	Mobile Phone	3	3	UPI	Female	1.88	5	Grocery	1	Single	3	0	0.67	3	2	84	458.56	1
C00049	57	Phone	1	9	UPI	Male	4.93	3	Grocery	5	Divorced	3	0	0.67	1	1	26	79.73	1
C00050	3	Phone	3	5	E Wallet	Female	4.16	1	Mobile Phone	1	Single	2	0	0.67	4	29	23	303.44	1
C00051	37	Computer	2	7	CC	Female	1.24	5	Laptop & Accessory	3	Single	3	0	0.67	4	28	61	371.25	0
C00052	51	Mobile Phone	2	6	Cash on Delivery	Female	0.53	4	Others	5	Divorced	2	0	0.67	5	28	51	84.65	0
C00053	7	Phone	2	10	Debit Card	Male	0.69	5	Grocery	1	Single	4	1	0.67	3	6	50	266.37	1
C00054	21	Mobile Phone	2	5	E Wallet	Male	1.6	5	Laptop & Accessory	1	Married	4	0	0.67	4	11	65	62.63	1
C00055	9	Mobile Phone	2	7	CC	Female	1.01	5	Mobile Phone	1	Divorced	4	0	0.67	5	4	56	287.9	0
C00056	39	Phone	1	6	Cash on Delivery	Male	2.9	2	Laptop & Accessory	5	Divorced	3	0	0.67	3	24	54	232.22	1
C00057	18	Phone	1	10	COD	Male	4.36	2	Laptop & Accessory	2	Married	3	0	0.67	4	11	52	147.06	1
C00058	4	Mobile Phone	1	2	Cash on Delivery	Male	3.82	2	Laptop & Accessory	4	Divorced	1	0	0.67	4	5	88	429.48	0
C00059	25	Mobile Phone	2	3	COD	Female	1.47	2	Grocery	1	Single	3	0	0.67	5	30	18	203.26	0
C00060	60	Computer	2	2	COD	Male	2.3	3	Grocery	4	Divorced	2	0	0.67	2	10	12	355.91	1
C00061	14	Phone	2	3	E Wallet	Female	2.79	5	Others	4	Single	1	0	0.67	5	5	28	399.53	0
C00062	50	Phone	1	1	CC	Male	4.15	3	Others	1	Single	3	1	0.67	1	27	5	105.74	0
C00063	58	Mobile Phone	3	8	Cash on Delivery	Male	4.28	4	Grocery	1	Divorced	1	0	0.67	2	27	72	77.17	0
C00064	9	Computer	3	6	CC	Female	4.59	1	Laptop & Accessory	4	Divorced	3	1	0.67	2	24	0	23.76	0
C00065	26	Mobile Phone	2	2	Credit Card	Female	2.79	3	Others	2	Single	2	0	0.67	4	27	23	166.79	1
C00066	53	Phone	3	8	CC	Female	3.62	2	Others	4	Married	4	1	0.67	0	26	73	411.66	1
C00067	2	Mobile Phone	2	6	E Wallet	Female	1	2	Grocery	2	Single	4	0	0.67	0	22	5	390.93	1
C00068	20	Computer	3	7	Cash on Delivery	Male	3.04	4	Mobile Phone	3	Married	2	0	0.67	1	22	47	438.47	1
C00069	28	Phone	1	1	Cash on Delivery	Male	1.62	5	Fashion	2	Married	1	0	0.67	3	3	19	385.09	0
C00070	47	Computer	2	7	Cash on Delivery	Male	2.44	1	Fashion	5	Married	4	0	0.67	4	29	75	31.52	0
C00071	60	Computer	1	3	CC	Male	3.35	3	Fashion	1	Married	3	1	0.67	1	6	66	205.05	0
C00072	7	Phone	1	8	E Wallet	Female	1.66	5	Laptop & Accessory	3	Married	3	0	0.67	2	26	54	22.85	1
C00073	44	Mobile Phone	1	6	COD	Female	0.73	5	Fashion	4	Married	1	0	0.67	4	13	17	37.3	0
C00074	8	Mobile Phone	2	4	E Wallet	Female	0.55	3	Fashion	2	Married	1	1	0.67	2	16	20	249.71	1
C00075	47	Phone	2	8	Cash on Delivery	Male	0.6	3	Others	3	Single	2	1	0.67	1	7	63	192.8	0
C00076	35	Phone	2	9	Cash on Delivery	Female	0.54	3	Grocery	5	Divorced	4	0	0.67	0	18	36	288.09	1
C00077	14	Computer	1	10	CC	Male	1	3	Grocery	2	Married	1	0	0.67	1	3	18	51.76	0
C00078	17	Phone	3	2	Debit Card	Female	1.58	2	Mobile Phone	4	Divorced	4	0	0.67	5	6	88	302.38	1
C00079	36	Mobile Phone	2	6	Credit Card	Male	1.5	5	Mobile Phone	4	Married	4	0	0.67	4	10	55	51.2	0
C00080	50	Computer	2	5	COD	Female	4.94	5	Mobile Phone	2	Single	3	1	0.67	4	16	61	223.37	0
C00081	40	Computer	2	5	Debit Card	Female	1.88	2	Grocery	5	Single	1	0	0.67	3	25	17	189.13	1
C00082	4	Computer	1	10	Cash on Delivery	Male	1.07	5	Mobile Phone	1	Divorced	2	0	0.67	0	13	29	127.5	0
C00083	2	Computer	2	3	Cash on Delivery	Male	2.96	3	Laptop & Accessory	1	Married	1	1	0.67	4	25	55	169.75	0
C00084	6	Mobile Phone	3	8	Cash on Delivery	Male	4.36	1	Grocery	4	Single	4	0	0.67	0	24	41	20.25	0
C00085	54	Mobile Phone	1	8	Cash on Delivery	Female	3.55	5	Laptop & Accessory	5	Single	3	1	0.67	4	24	52	175.56	0
C00086	42	Computer	2	5	CC	Female	1.83	1	Fashion	4	Married	1	0	0.67	0	9	73	57.64	0
C00087	4	Computer	3	8	Cash on Delivery	Male	3.03	1	Mobile Phone	1	Single	1	1	0.67	5	27	85	462.23	0
C00088	54	Phone	2	10	E Wallet	Female	3.72	2	Grocery	4	Married	1	0	0.67	1	16	49	55.68	0
C00089	29	Phone	1	8	Credit Card	Female	3.78	4	Grocery	2	Married	2	0	0.67	0	11	3	477.49	0
C00090	18	Phone	1	3	E Wallet	Female	3.5	5	Mobile Phone	2	Divorced	2	0	0.67	2	9	62	255.88	0
C00091	26	Computer	1	2	UPI	Male	4.42	2	Laptop & Accessory	5	Divorced	2	0	0.67	5	10	66	266.32	1
C00092	44	Mobile Phone	2	9	COD	Female	4.42	2	Mobile Phone	1	Single	2	0	0.67	1	11	55	398.3	1
C00093	34	Mobile Phone	2	2	E Wallet	Female	3.11	1	Laptop & Accessory	5	Single	3	0	0.67	4	29	48	353.78	1
C00094	10	Mobile Phone	1	9	CC	Female	2.43	5	Others	5	Single	3	0	0.67	4	25	21	133.79	0
C00095	36	Phone	3	4	UPI	Male	3.39	2	Laptop & Accessory	1	Divorced	2	0	0.67	3	21	11	32.22	1
C00096	14	Mobile Phone	2	2	Debit Card	Female	4.18	3	Mobile Phone	3	Married	4	0	0.67	5	22	48	393.66	0
C00097	31	Computer	1	10	CC	Male	0.53	2	Grocery	3	Married	2	0	0.67	2	15	12	82.28	1
C00098	48	Phone	2	1	Credit Card	Male	4.96	3	Fashion	4	Single	2	0	0.67	5	21	32	307.22	1
C00099	15	Phone	2	4	COD	Male	1.32	4	Grocery	3	Single	4	1	0.67	3	13	46	472.46	0
C00100	8	Mobile Phone	1	9	COD	Female	2.62	3	Others	2	Married	1	0	0.67	5	17	63	283.73	1

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Dataset Card for "customer-churn-dataset"

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