Baselight

Credit Card Fraud

Python analysis applied to Fraud detection

@kaggle.oscaryezfeijo_credit_card_fraud

Creditcardfraud
@kaggle.oscaryezfeijo_credit_card_fraud.creditcardfraud

  • 13.59 MB
  • 49692 rows
  • 31 columns
time

Time

v1

V1

v2

V2

v3

V3

v4

V4

v5

V5

v6

V6

v7

V7

v8

V8

v9

V9

v10

V10

v11

V11

v12

V12

v13

V13

v14

V14

v15

V15

v16

V16

v17

V17

v18

V18

v19

V19

v20

V20

v21

V21

v22

V22

v23

V23

v24

V24

v25

V25

v26

V26

v27

V27

v28

V28

amount

Amount

class

Class

406-2.3122265421.951992011-1.6098507323.997905588-0.522187865-1.426545319-2.5373873061.391657248-2.770089277-2.7722721453.202033207-2.899907388-0.595221881-4.2892537820.38972412-1.14074718-2.830055675-0.0168224680.4169557050.1269105590.517232371-0.035049369-0.4652110760.3201981990.0445191670.1778397980.261145003-0.143275875yes
472-3.043540624-3.1573071211.088462782.2886436181.35980513-1.0648225230.325574266-0.067793653-0.270952836-0.838586565-0.414575448-0.503140860.676501545-1.6920289332.0006348390.6667796960.5997174141.7253210070.283344832.1023387930.6616959250.4354772091.375965743-0.2938031530.279798032-0.145361715-0.2527731230.035764225529yes
4462-2.3033495681.75924746-0.3597447432.330243051-0.821628328-0.0757875710.562319782-0.399146578-0.238253368-1.5254116272.032912158-6.5601242950.022937323-1.470101536-0.698826069-2.282193829-4.781830856-2.615664945-1.334441067-0.430021867-0.294166318-0.9323910570.172726296-0.087329538-0.156114265-0.5426278890.039565989-0.153028797239.93yes
6986-4.3979744421.358367028-2.5928442182.679786967-1.128130942-1.706536388-3.496197293-0.248777743-0.247767899-4.8016374064.895844223-10.912819320.184371686-6.771096725-0.007326183-7.358083221-12.59841854-5.1315486280.308333946-0.1716078790.5735740680.176967718-0.436206884-0.0535018650.252405262-0.657487755-0.8271357150.8495733859yes
75191.2342350463.019740421-4.3045968854.732795133.624200831-1.3577456631.713444988-0.496358487-1.28285782-2.4474692552.101343865-4.6096283911.464377625-6.079337193-0.3392373732.5818509546.7393843853.042493178-2.7218531220.009060836-0.379068307-0.704181032-0.656804756-1.6326529571.4889014480.566797273-0.0100162230.1467927351yes
75260.0084303654.137836835-6.2406965726.6757321630.768307025-3.353059548-1.6317346730.154612448-2.795892464-6.187890635.664394709-9.854484823-0.306166658-10.69119621-0.638498193-2.041973791-1.1290558770.116452521-1.9346657390.4883782210.36451421-0.608057134-0.5395279420.1289399831.488481210.5079626780.7358216360.5135737411yes
75350.0267792264.132463897-6.5605999686.3485566731.329665669-2.513478848-1.68910220.303252801-3.139409057-6.0454677986.754625448-8.9481785790.702724998-10.7338541-1.379519857-1.638960115-1.7463501360.776744098-1.3273566350.5877432190.370508651-0.576752473-0.669605372-0.759907531.605055550.5406753960.7370403820.4966991081yes
75430.3295943333.712889295-5.7759351086.0782655061.667359013-2.420168414-0.8128912490.133080118-2.214311312-5.1344544714.560720106-8.873748362-0.7974836-9.17716637-0.257024775-0.871688491.3130136290.773913873-2.3705994510.2697727760.156617169-0.652450441-0.551572219-0.7165216351.4157166150.555264740.5305073890.4044740551yes
75510.3164593.809075947-5.6151590116.0474451021.554025957-2.651353112-0.7465792730.055586311-2.678678542-4.9594929126.439053352-7.5201173930.386351667-9.252307247-1.365188415-0.5023621910.7844265981.494304607-1.8080121590.3883074280.208828369-0.511746619-0.583813221-0.2198450291.4747525840.4911919260.5188682850.4025280681yes
76100.725645742.300894438-5.3299761834.007682805-1.73041059-1.732192568-3.9685926181.063728153-0.486096552-4.6249849545.588723915-7.1482426361.680450741-6.2102577470.495282118-3.599540209-4.830324242-0.649090122.2501232490.5046462260.5896691270.1095413190.601045277-0.364700278-1.8430776920.3519092980.5945499780.0993722361yes

CREATE TABLE creditcardfraud (
  "time" BIGINT,
  "v1" DOUBLE,
  "v2" DOUBLE,
  "v3" DOUBLE,
  "v4" DOUBLE,
  "v5" DOUBLE,
  "v6" DOUBLE,
  "v7" DOUBLE,
  "v8" DOUBLE,
  "v9" DOUBLE,
  "v10" DOUBLE,
  "v11" DOUBLE,
  "v12" DOUBLE,
  "v13" DOUBLE,
  "v14" DOUBLE,
  "v15" DOUBLE,
  "v16" DOUBLE,
  "v17" DOUBLE,
  "v18" DOUBLE,
  "v19" DOUBLE,
  "v20" DOUBLE,
  "v21" DOUBLE,
  "v22" DOUBLE,
  "v23" DOUBLE,
  "v24" DOUBLE,
  "v25" DOUBLE,
  "v26" DOUBLE,
  "v27" DOUBLE,
  "v28" DOUBLE,
  "amount" DOUBLE,
  "class" VARCHAR
);

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