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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
29.86	400	29.86	400	29.86	1	0	1
29.86	401	29.86	401	0	1	1	0
48.76	402	48.76	402	48.76	1	0	1
48.76	403	48.76	403	0	1	1	0
113,514.91	404	113,514.91	404	113,514.91	1	0	1
113,514.91	405	113,514.91	405	0	1	1	0
55.53	406	55.53	406	55.53	1	0	1
55.53	407	55.53	407	0	1	1	0
92.66	408	92.66	408	92.66	1	0	1
92.66	409	92.66	409	0	1	1	0
78.65	410	78.65	410	78.65	1	0	1
78.65	411	78.65	411	0	1	1	0
94.07	412	94.07	412	94.07	1	0	1
94.07	413	94.07	413	0	1	1	0
44.66	414	44.66	414	44.66	1	0	1
44.66	415	44.66	415	0	1	1	0
72.31	416	72.31	416	72.31	1	0	1
72.31	417	72.31	417	0	1	1	0
70.87	418	70.87	418	70.87	1	0	1
70.87	419	70.87	419	0	1	1	0
52.77	420	52.77	420	52.77	1	0	1
52.77	421	52.77	421	0	1	1	0
43.91	422	43.91	422	43.91	1	0	1
43.91	423	43.91	423	0	1	1	0
95.24	424	95.24	424	95.24	1	0	1
95.24	425	95.24	425	0	1	1	0
51.57	426	51.57	426	51.57	1	0	1
51.57	427	51.57	427	0	1	1	0
89.68	428	89.68	428	89.68	1	0	1
89.68	429	89.68	429	0	1	1	0
68,121.48	430	68,121.48	430	68,121.48	1	0	1
68,121.48	431	68,121.48	431	0	1	1	0
45.58	432	45.58	432	45.58	1	0	1
45.58	433	45.58	433	0	1	1	0
57.58	434	57.58	434	57.58	1	0	1
57.58	435	57.58	435	0	1	1	0
189,578.28	436	189,578.28	436	189,578.28	1	0	1
189,578.28	437	189,578.28	437	0	1	1	0
50.91	438	50.91	438	50.91	1	0	1
50.91	439	50.91	439	0	1	1	0
74.9	440	74.9	440	74.9	1	0	1
74.9	441	74.9	441	0	1	1	0
25,826.83	442	25,826.83	442	25,826.83	1	0	1
25,826.83	443	25,826.83	443	0	1	1	0
20,694.17	444	20,694.17	444	20,694.17	1	0	1
20,694.17	445	20,694.17	445	0	1	1	0
123,191.04	446	123,191.04	446	123,191.04	1	0	1
123,191.04	447	123,191.04	447	0	1	1	0
88.58	448	88.58	448	88.58	1	0	1
88.58	449	88.58	449	0	1	1	0
12,191.14	450	12,191.14	450	12,191.14	1	0	1
12,191.14	451	12,191.14	451	0	1	1	0
7.73	452	7.73	452	7.73	1	0	1
7.73	453	7.73	453	0	1	1	0
78.21	454	78.21	454	78.21	1	0	1
78.21	455	78.21	455	0	1	1	0
24.13	456	24.13	456	24.13	1	0	1
24.13	457	24.13	457	0	1	1	0
79.35	458	79.35	458	79.35	1	0	1
79.35	459	79.35	459	0	1	1	0
42.71	460	42.71	460	42.71	1	0	1
42.71	461	42.71	461	0	1	1	0
69.58	462	69.58	462	69.58	1	0	1
69.58	463	69.58	463	0	1	1	0
908.55	464	908.55	464	908.55	1	0	1
908.55	465	908.55	465	0	1	1	0
38.75	466	38.75	466	38.75	1	0	1
38.75	467	38.75	467	0	1	1	0
180,540.3	468	180,540.3	468	180,540.3	1	0	1
180,540.3	469	180,540.3	469	0	1	1	0
384,341.61	470	384,341.61	470	384,341.61	1	0	1
384,341.61	471	384,341.61	471	0	1	1	0
10,641.7	472	10,641.7	472	10,641.7	1	0	1
10,641.7	473	10,641.7	473	0	1	1	0
99,151.87	474	99,151.87	474	99,151.87	1	0	1
99,151.87	475	99,151.87	475	0	1	1	0
18.44	476	18.44	476	18.44	1	0	1
18.44	477	18.44	477	0	1	1	0
30,027.9	478	30,027.9	478	30,027.9	1	0	1
30,027.9	479	30,027.9	479	0	1	1	0
25,386.34	480	25,386.34	480	25,386.34	1	0	1
25,386.34	481	25,386.34	481	0	1	1	0
56.4	482	56.4	482	56.4	1	0	1
56.4	483	56.4	483	0	1	1	0
852,941.59	484	852,941.59	484	852,941.59	1	0	1
852,941.59	485	852,941.59	485	0	1	1	0
144,875.29	486	144,875.29	486	144,875.29	1	0	1
144,875.29	487	144,875.29	487	0	1	1	0
40.27	488	40.27	488	40.27	1	0	1
40.27	489	40.27	489	0	1	1	0
35.47	490	35.47	490	35.47	1	0	1
35.47	491	35.47	491	0	1	1	0
33,769.94	492	33,769.94	492	33,769.94	1	0	1
33,769.94	493	33,769.94	493	0	1	1	0
1,564.03	494	1,564.03	494	1,564.03	1	0	1
1,564.03	495	1,564.03	495	0	1	1	0
24.1	496	24.1	496	24.1	1	0	1
24.1	497	24.1	497	0	1	1	0
36.81	498	36.81	498	36.81	1	0	1
36.81	499	36.81	499	0	1	1	0