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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
58.62	300	58.62	300	58.62	1	0	1
58.62	301	58.62	301	0	1	1	0
19.17	302	19.17	302	19.17	1	0	1
19.17	303	19.17	303	0	1	1	0
47.95	304	47.95	304	47.95	1	0	1
47.95	305	47.95	305	0	1	1	0
53.52	306	53.52	306	53.52	1	0	1
53.52	307	53.52	307	0	1	1	0
80,701.22	308	80,701.22	308	80,701.22	1	0	1
80,701.22	309	80,701.22	309	0	1	1	0
72.48	310	72.48	310	72.48	1	0	1
72.48	311	72.48	311	0	1	1	0
45.26	312	45.26	312	45.26	1	0	1
45.26	313	45.26	313	0	1	1	0
299,766.6	314	299,766.6	314	299,766.6	1	0	1
299,766.6	315	299,766.6	315	0	1	1	0
60.03	316	60.03	316	60.03	1	0	1
60.03	317	60.03	317	0	1	1	0
54.51	318	54.51	318	54.51	1	0	1
54.51	319	54.51	319	0	1	1	0
44.82	320	44.82	320	44.82	1	0	1
44.82	321	44.82	321	0	1	1	0
44.71	322	44.71	322	44.71	1	0	1
44.71	323	44.71	323	0	1	1	0
31,135.22	324	31,135.22	324	31,135.22	1	0	1
31,135.22	325	31,135.22	325	0	1	1	0
1.18	326	1.18	326	1.18	1	0	1
1.18	327	1.18	327	0	1	1	0
12,401.6	328	12,401.6	328	12,401.6	1	0	1
12,401.6	329	12,401.6	329	0	1	1	0
327,030.72	330	327,030.72	330	327,030.72	1	0	1
327,030.72	331	327,030.72	331	0	1	1	0
176,956.61	332	176,956.61	332	176,956.61	1	0	1
176,956.61	333	176,956.61	333	0	1	1	0
66,059.38	334	66,059.38	334	66,059.38	1	0	1
66,059.38	335	66,059.38	335	0	1	1	0
229,481.25	336	229,481.25	336	229,481.25	1	0	1
229,481.25	337	229,481.25	337	0	1	1	0
31,926.34	338	31,926.34	338	31,926.34	1	0	1
31,926.34	339	31,926.34	339	0	1	1	0
37.26	340	37.26	340	37.26	1	0	1
37.26	341	37.26	341	0	1	1	0
70.1	342	70.1	342	70.1	1	0	1
70.1	343	70.1	343	0	1	1	0
59.19	344	59.19	344	59.19	1	0	1
59.19	345	59.19	345	0	1	1	0
44.38	346	44.38	346	44.38	1	0	1
44.38	347	44.38	347	0	1	1	0
37.22	348	37.22	348	37.22	1	0	1
37.22	349	37.22	349	0	1	1	0
16.87	350	16.87	350	16.87	1	0	1
16.87	351	16.87	351	0	1	1	0
3.46	352	3.46	352	3.46	1	0	1
3.46	353	3.46	353	0	1	1	0
88.36	354	88.36	354	88.36	1	0	1
88.36	355	88.36	355	0	1	1	0
8,489.93	356	8,489.93	356	8,489.93	1	0	1
8,489.93	357	8,489.93	357	0	1	1	0
86.83	358	86.83	358	86.83	1	0	1
86.83	359	86.83	359	0	1	1	0
59	360	59	360	59	1	0	1
59	361	59	361	0	1	1	0
200,722.92	362	200,722.92	362	200,722.92	1	0	1
200,722.92	363	200,722.92	363	0	1	1	0
80.96	364	80.96	364	80.96	1	0	1
80.96	365	80.96	365	0	1	1	0
43.84	366	43.84	366	43.84	1	0	1
43.84	367	43.84	367	0	1	1	0
75,325.62	368	75,325.62	368	75,325.62	1	0	1
75,325.62	369	75,325.62	369	0	1	1	0
41.87	370	41.87	370	41.87	1	0	1
41.87	371	41.87	371	0	1	1	0
3.56	372	3.56	372	3.56	1	0	1
3.56	373	3.56	373	0	1	1	0
0.55	374	0.55	374	0.55	1	0	1
0.55	375	0.55	375	0	1	1	0
45.35	376	45.35	376	45.35	1	0	1
45.35	377	45.35	377	0	1	1	0
52.83	378	52.83	378	52.83	1	0	1
52.83	379	52.83	379	0	1	1	0
75.79	380	75.79	380	75.79	1	0	1
75.79	381	75.79	381	0	1	1	0
398,378.46	382	398,378.46	382	398,378.46	1	0	1
398,378.46	383	398,378.46	383	0	1	1	0
45.31	384	45.31	384	45.31	1	0	1
45.31	385	45.31	385	0	1	1	0
39.7	386	39.7	386	39.7	1	0	1
39.7	387	39.7	387	0	1	1	0
25,981.06	388	25,981.06	388	25,981.06	1	0	1
25,981.06	389	25,981.06	389	0	1	1	0
80.55	390	80.55	390	80.55	1	0	1
80.55	391	80.55	391	0	1	1	0
446,196.73	392	446,196.73	392	446,196.73	1	0	1
446,196.73	393	446,196.73	393	0	1	1	0
67.27	394	67.27	394	67.27	1	0	1
67.27	395	67.27	395	0	1	1	0
98.64	396	98.64	396	98.64	1	0	1
98.64	397	98.64	397	0	1	1	0
30.41	398	30.41	398	30.41	1	0	1
30.41	399	30.41	399	0	1	1	0