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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
70.37	600	70.37	598	70.37	1	0	1
70.37	601	70.37	599	0	1	1	0
6.21	602	6.21	600	6.21	1	0	1
6.21	603	6.21	601	0	1	1	0
89.35	604	89.35	602	89.35	1	0	1
89.35	605	89.35	603	0	1	1	0
98.78	606	98.78	604	98.78	1	0	1
98.78	607	98.78	605	0	1	1	0
872,920.27	608	872,920.27	606	872,920.27	1	0	1
872,920.27	609	872,920.27	607	0	1	1	0
81,519.94	610	81,519.94	608	81,519.94	1	0	1
81,519.94	611	81,519.94	609	0	1	1	0
44.88	612	44.88	610	44.88	1	0	1
44.88	613	44.88	611	0	1	1	0
26,087.6	614	26,087.6	612	26,087.6	1	0	1
26,087.6	615	26,087.6	613	0	1	1	0
95.37	616	95.37	614	95.37	1	0	1
95.37	617	95.37	615	0	1	1	0
6.64	618	6.64	616	6.64	1	0	1
6.64	619	6.64	617	0	1	1	0
43.09	620	43.09	618	43.09	1	0	1
43.09	621	43.09	619	0	1	1	0
72.41	622	72.41	620	72.41	1	0	1
72.41	623	72.41	621	0	1	1	0
25.47	624	25.47	622	25.47	1	0	1
25.47	625	25.47	623	0	1	1	0
22.89	626	22.89	624	22.89	1	0	1
22.89	627	22.89	625	0	1	1	0
92.94	628	92.94	626	92.94	1	0	1
92.94	629	92.94	627	0	1	1	0
55.04	630	55.04	628	55.04	1	0	1
55.04	631	55.04	629	0	1	1	0
44.48	632	44.48	630	44.48	1	0	1
44.48	633	44.48	631	0	1	1	0
2.35	634	2.35	632	2.35	1	0	1
2.35	635	2.35	633	0	1	1	0
99,962.25	636	99,962.25	634	99,962.25	1	0	1
99,962.25	637	99,962.25	635	0	1	1	0
271,274.02	638	271,274.02	636	271,274.02	1	0	1
271,274.02	639	271,274.02	637	0	1	1	0
5,163	640	5,163	638	5,163	1	0	1
5,163	641	5,163	639	0	1	1	0
35.58	642	35.58	640	35.58	1	0	1
35.58	643	35.58	641	0	1	1	0
7.66	644	7.66	642	7.66	1	0	1
7.66	645	7.66	643	0	1	1	0
31.01	646	31.01	644	31.01	1	0	1
31.01	647	31.01	645	0	1	1	0
74.74	648	74.74	646	74.74	1	0	1
74.74	649	74.74	647	0	1	1	0
15,735.75	650	15,735.75	648	15,735.75	1	0	1
15,735.75	651	15,735.75	649	0	1	1	0
59,795.44	652	59,795.44	650	59,795.44	1	0	1
59,795.44	653	59,795.44	651	0	1	1	0
83.03	654	83.03	652	83.03	1	0	1
83.03	655	83.03	653	0	1	1	0
43.98	656	43.98	654	43.98	1	0	1
43.98	657	43.98	655	0	1	1	0
44.48	658	44.48	656	44.48	1	0	1
44.48	659	44.48	657	0	1	1	0
25.08	660	25.08	658	25.08	1	0	1
25.08	661	25.08	659	0	1	1	0
35.75	662	35.75	660	35.75	1	0	1
35.75	663	35.75	661	0	1	1	0
13.89	664	13.89	662	13.89	1	0	1
13.89	665	13.89	663	0	1	1	0
51.21	666	51.21	664	51.21	1	0	1
51.21	667	51.21	665	0	1	1	0
35.1	668	35.1	666	35.1	1	0	1
35.1	669	35.1	667	0	1	1	0
25,765.58	670	25,765.58	668	25,765.58	1	0	1
25,765.58	671	25,765.58	669	0	1	1	0
95.63	672	95.63	670	95.63	1	0	1
95.63	673	95.63	671	0	1	1	0
87,520.38	674	87,520.38	672	87,520.38	1	0	1
87,520.38	675	87,520.38	673	0	1	1	0
1.99	676	1.99	674	1.99	1	0	1
1.99	677	1.99	675	0	1	1	0
29,967.66	678	29,967.66	676	29,967.66	1	0	1
29,967.66	679	29,967.66	677	0	1	1	0
50.25	680	50.25	678	50.25	1	0	1
50.25	681	50.25	679	0	1	1	0
92.36	682	92.36	680	92.36	1	0	1
92.36	683	92.36	681	0	1	1	0
9.04	684	9.04	682	9.04	1	0	1
9.04	685	9.04	683	0	1	1	0
23.42	686	23.42	684	23.42	1	0	1
23.42	687	23.42	685	0	1	1	0
51.61	688	51.61	686	51.61	1	0	1
51.61	689	51.61	687	0	1	1	0
47.92	690	47.92	688	47.92	1	0	1
47.92	691	47.92	689	0	1	1	0
50.79	692	50.79	690	50.79	1	0	1
50.79	693	50.79	691	0	1	1	0
182,625.21	694	182,625.21	692	182,625.21	1	0	1
182,625.21	695	182,625.21	693	0	1	1	0
16.35	696	16.35	694	16.35	1	0	1
16.35	697	16.35	695	0	1	1	0
170,045.66	698	170,045.66	696	170,045.66	1	0	1
170,045.66	699	170,045.66	697	0	1	1	0