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rohan-chandrashekar
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Financial_Fraud_Detection

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train · 3.71M rows

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amount float64 0 21.9M	nameOrig int64 0 188k	oldBalanceOrig float64 -199,468.15 33.5M	nameDest int64 0 219k	newBalanceDest float64 -23,166.37 21.9M	isFraud int64 0 1	action__CASH_OUT int64 0 1	action__TRANSFER int64 0 1
98.37	800	98.37	798	98.37	1	0	1
98.37	801	98.37	799	0	1	1	0
55,690.36	802	55,690.36	800	55,690.36	1	0	1
55,690.36	803	55,690.36	801	0	1	1	0
9.38	804	9.38	802	9.38	1	0	1
9.38	805	9.38	803	0	1	1	0
28.04	806	28.04	804	28.04	1	0	1
28.04	807	28.04	805	0	1	1	0
105,134.21	808	105,134.21	806	105,134.21	1	0	1
105,134.21	809	105,134.21	807	0	1	1	0
75.35	810	75.35	808	75.35	1	0	1
75.35	811	75.35	809	0	1	1	0
18,987.41	812	18,987.41	810	18,987.41	1	0	1
18,987.41	813	18,987.41	811	0	1	1	0
237,374.97	814	237,374.97	812	237,374.97	1	0	1
237,374.97	815	237,374.97	813	0	1	1	0
37.61	816	37.61	814	37.61	1	0	1
37.61	817	37.61	815	0	1	1	0
5.19	818	5.19	816	5.19	1	0	1
5.19	819	5.19	817	0	1	1	0
33,992.13	820	33,992.13	818	33,992.13	1	0	1
33,992.13	821	33,992.13	819	0	1	1	0
10,161.83	822	10,161.83	820	10,161.83	1	0	1
10,161.83	823	10,161.83	821	0	1	1	0
1.87	824	1.87	822	1.87	1	0	1
1.87	825	1.87	823	0	1	1	0
51.92	826	51.92	824	51.92	1	0	1
51.92	827	51.92	825	0	1	1	0
516.09	828	516.09	826	516.09	1	0	1
516.09	829	516.09	827	0	1	1	0
17	830	17	828	17	1	0	1
17	831	17	829	0	1	1	0
7.5	832	7.5	830	7.5	1	0	1
7.5	833	7.5	831	0	1	1	0
50.11	834	50.11	832	50.11	1	0	1
50.11	835	50.11	833	0	1	1	0
40.3	836	40.3	834	40.3	1	0	1
40.3	837	40.3	835	0	1	1	0
46.67	838	46.67	836	46.67	1	0	1
46.67	839	46.67	837	0	1	1	0
10,355.9	840	10,355.9	838	10,355.9	1	0	1
10,355.9	841	10,355.9	839	0	1	1	0
45.83	842	45.83	840	45.83	1	0	1
45.83	843	45.83	841	0	1	1	0
18.45	844	18.45	842	18.45	1	0	1
18.45	845	18.45	843	0	1	1	0
64.73	846	64.73	844	64.73	1	0	1
64.73	847	64.73	845	0	1	1	0
67.38	848	67.38	846	67.38	1	0	1
67.38	849	67.38	847	0	1	1	0
236,517.7	850	236,517.7	848	236,517.7	1	0	1
236,517.7	851	236,517.7	849	0	1	1	0
43.24	852	43.24	850	43.24	1	0	1
43.24	853	43.24	851	0	1	1	0
6.56	854	6.56	852	6.56	1	0	1
6.56	855	6.56	853	0	1	1	0
18.37	856	18.37	854	18.37	1	0	1
18.37	857	18.37	855	0	1	1	0
0.24	858	0.24	856	0.24	1	0	1
0.24	859	0.24	857	0	1	1	0
55.26	860	55.26	858	55.26	1	0	1
55.26	861	55.26	859	0	1	1	0
22.15	862	22.15	860	22.15	1	0	1
22.15	863	22.15	289	0	1	1	0
7.05	864	7.05	861	7.05	1	0	1
7.05	865	7.05	862	0	1	1	0
457,813.58	866	457,813.58	863	457,813.58	1	0	1
457,813.58	867	457,813.58	864	0	1	1	0
50.87	868	50.87	865	50.87	1	0	1
50.87	869	50.87	866	0	1	1	0
44.64	870	44.64	867	44.64	1	0	1
44.64	871	44.64	868	0	1	1	0
86.37	872	86.37	869	86.37	1	0	1
86.37	873	86.37	870	0	1	1	0
72.16	874	72.16	871	72.16	1	0	1
72.16	875	72.16	872	0	1	1	0
59.1	876	59.1	873	59.1	1	0	1
59.1	877	59.1	874	0	1	1	0
11,218.2	878	11,218.2	875	11,218.2	1	0	1
11,218.2	879	11,218.2	876	0	1	1	0
18.63	880	18.63	877	18.63	1	0	1
18.63	881	18.63	878	0	1	1	0
117,681.53	882	117,681.53	879	117,681.53	1	0	1
117,681.53	883	117,681.53	880	0	1	1	0
89.94	884	89.94	881	89.94	1	0	1
89.94	885	89.94	882	0	1	1	0
75.69	886	75.69	883	75.69	1	0	1
75.69	887	75.69	884	0	1	1	0
254,581.22	888	254,581.22	885	254,581.22	1	0	1
254,581.22	889	254,581.22	886	0	1	1	0
77.36	890	77.36	887	77.36	1	0	1
77.36	891	77.36	888	0	1	1	0
20.99	892	20.99	889	20.99	1	0	1
20.99	893	20.99	890	0	1	1	0
8,115.13	894	8,115.13	891	8,115.13	1	0	1
8,115.13	895	8,115.13	892	0	1	1	0
22.79	896	22.79	893	22.79	1	0	1
22.79	897	22.79	894	0	1	1	0
51,453.39	898	51,453.39	895	51,453.39	1	0	1
51,453.39	899	51,453.39	896	0	1	1	0