Data Analysis You have been provided with two data tables. The first table is the result of various onboarding risk metrics for a subset of customers. The second table is the outcome of whether a user was suspended or remained active on the platform (1 = suspended, 0 = active). You are tasked with improving XYZ's onboarding flow with the goal of increasing the number of legitimate users onboarding onto the platform and reducing the number of fraudulent users. 1.How would you use these risk factors to reduce the number of fraudulent users onboarding onto the platform? 2.What are the tradeoffs involved in making this decision? 3.Based on your selected approach, how effective is this method and how would you measure its performance? 4.Outside of the metrics provided, what are some alternatives we could consider to reduce fraudsters onboarding onto the platform? Research; no analysis from supplied files is necessary for this question.
Customer ID,ID Risk Score,Address Risk Score,Email Risk Score,Phone Risk Score,Method 1 Fraud Score,Method 2 Fraud Score,Synthetic Score,Abuse Score,ID Theft Score,Additional Synthetic Score,Name correlates to address,Name correlates to email,Name correlates to phone 0,512,0.455,0.31,0.717,0.57,823,25,31,47,62,1,1,1 1,691,0.702,0.986,0.916,0.97,621,20,52,515,51,1,0,0 2,503,0.422,0.025,0.577,0.382,695,94,77,18,63,1,1,1 3,632,0.455,0.69,0.892,0.638,444,93,214,153,557,1,0,0 4,516,0.37,0.058,0.947,0.328,377,23,22,93,31,1,1,0 5,559,0.398,0.797,0.809,0.736,734,71,45,209,48,1,0,0 6,654,0.781,0.814,0.926,0.77,350,61,117,121,106,1,0,0 7,628,0.539,0.754,0.553,0.749,822,123,91,115,68,1,1,1 8,412,0.984,0.209,0.797,0.524,685,68,61,44,62,0,1,1 9,513,0.398,0.031,0.989,0.479,459,54,34,20,15,1,1,1 10,470,0.455,0.114,0.653,0.742,731,114,78,27,74,1,1,1 11,609,0.702,0.962,0.599,0.887,615,58,38,178,64,1,0,1 12,539,0.965,0.175,0.908,0.63,447,15,20,82,21,0,1,0 13,699,0.971,0.845,0.871,0.669,439,357,525,304,639,0,0,1 14,453,0.648,0.728,0.772,0.813,632,33,50,342,60,1,1,0 15,551,0.457,0.648,0.582,0.541,492,29,24,40,36,1,1,1 16,440,0.455,0.581,0.487,0.217,320,34,55,24,79,1,1,1 17,453,0.524,0.128,0.689,0.042,446,33,23,17,19,1,1,1 18,403,0.891,0.375,0.925,0.874,339,78,71,71,77,0,1,0 19,479,0.312,0.846,0.253,0.715,384,340,92,37,72,1,0,1 20,497,0.312,0.046,0.704,0.563,558,64,43,69,75,1,1,1 21,588,0.704,0.178,0.546,0.703,487,35,37,302,38,1,1,1 22,302,0.63,0.057,0.202,0.063,540,77,93,24,80,1,1,1 23,494,0.455,0.116,0.708,0.026,368,14,12,23,15,1,1,1 24,456,0.626,0.086,0.19,0.101,456,46,43,19,59,1,1,1 25,579,0.801,0.753,0.628,0.683,706,54,81,235,109,1,0,1 26,382,0.821,0.202,0.495,0.297,422,43,17,17,28,1,1,1 27,437,0.644,0.464,0.907,0.779,374,546,101,70,75,1,1,1 28,589,0.258,0.423,0.677,0.293,387,26,28,154,30,1,1,1 29,594,0.884,0.098,0.123,0.298,497,54,90,35,104,0,1,1 30,524,0.731,0.906,0.653,0.933,435,38,31,117,41,1,0,1 31,455,0.313,0.018,0.531,0.111,544,28,17,19,30,1,1,1 32,443,0.287,0.767,0.898,0.601,519,103,439,34,728,1,0,1 33,600,0.328,0.022,0.653,0.689,421,48,28,38,40,1,1,1 34,618,0.607,0.507,0.717,0.496,518,67,77,53,88,1,1,1 35,655,0.954,0.871,0.989,0.952,702,32,17,522,18,0,0,0 36,498,0.455,0.686,0.653,0.586,391,75,101,39,111,1,0,1 37,396,0.329,0.357,0.034,0.05,664,23,15,30,35,1,1,1 38,483,0.953,0.673,0.68,0.875,402,39,40,53,20,1,1,1 39,634,0.851,0.842,0.611,0.771,242,28,16,441,11,1,0,1 40,573,0.377,0.582,0.318,0.335,361,59,58,37,40,1,1,1 41,603,0.434,0.87,0.137,0.83,488,49,50,52,24,1,0,1 42,555,0.309,0.833,0.936,0.945,669,25,45,114,70,1,0,0 43,503,0.895,0.852,0.943,0.872,483,25,39,110,67,1,0,0 44,566,0.422,0.578,0.865,0.774,414,32,46,87,78,1,1,0 45,440,0.695,0.754,0.197,0.371,461,53,89,27,101,1,0,1 46,671,0.772,0.058,0.707,0.52,492,56,47,62,31,0,1,1 47,627,0.37,0.755,0.653,0.907,690,45,88,533,102,1,0,1 48,471,0.364,0.314,0.517,0.004,450,28,64,40,84,1,1,1 49,443,0.289,0.45,0.819,0.378,785,98,103,77,119,1,1,0 50,511,0.455,0.256,0.83,0.123,570,30,37,23,19,1,1,1 51,526,0.854,0.183,0.191,0.51,786,82,101,57,117,1,1,1 52,656,0.862,0.823,0.962,0.968,784,34,41,538,41,1,0,0 53,567,0.94,0.911,0.407,0.697,530,32,29,42,48,1,0,1 54,456,0.252,0.088,0.26,0.209,391,77,70,19,69,1,1,1 55,498,0.479,0.588,0.592,0.227,650,21,28,27,42,1,1,1 56,547,0.398,0.322,0.956,0.219,850,31,23,33,27,1,1,1 57,568,0.508,0.566,0.708,0.792,443,61,59,303,28,1,1,0 58,651,0.846,0.735,0.953,0.568,623,72,49,512,61,0,0,0 59,538,0.609,0.741,0.84,0.633,513,94,102,539,86,0,1,1 60,519,0.897,0.745,0.553,0.81,256,19,28,401,39,0,1,1 61,335,0.369,0.53,0.886,0.543,387,59,48,192,16,1,1,0 62,617,0.882,0.574,0.579,0.38,390,33,28,29,27,1,1,1 63,421,0.488,0.308,0.525,0.226,293,30,12,64,27,1,1,1 64,582,0.455,0.82,0.873,0.97,732,45,61,314,79,1,0,0 65,549,0.455,0.534,0.895,0.736,488,16,16,195,11,1,1,0 66,498,0.455,0.831,0.684,0.39,424,44,30,64,35,1,0,1 67,561,0.641,0.542,0.761,0.373,496,45,29,400,19,1,1,1 68,407,0.398,0.018,0.842,0.718,830,101,112,28,79,1,1,1 69,614,0.455,0.793,0.825,0.866,348,60,66,312,60,1,0,0 70,602,0.263,0.537,0.3,0.664,316,220,69,104,69,1,1,1 71,590,0.899,0.568,0.737,0.461,757,67,62,42,78,1,1,1 72,580,0.702,0.925,0.869,0.827,386,54,50,299,62,1,0,1 73,568,0.628,0.581,0.225,0.191,349,89,72,66,79,1,1,1 74,532,0.274,0.251,0.159,0.278,493,227,103,19,45,1,1,1 75,588,0.396,0.734,0.847,0.768,466,81,98,42,108,1,0,1 77,497,0.887,0.407,0.935,0.856,778,49,100,120,369,0,1,0 78,584,0.694,0.655,0.337,0.311,648,99,55,35,67,1,1,1 79,517,0.455,0.15,0.679,0.242,706,246,228,130,291,1,1,1 80,421,0.455,0.32,0.902,0.407,695,36,37,130,57,1,1,0 81,564,0.398,0.615,0.862,0.697,542,43,26,37,15,1,1,1 82,452,0.455,0.567,0.646,0.515,574,23,39,25,45,1,1,1 83,522,0.455,0.245,0.777,0.588,725,32,70,98,80,1,1,0 84,695,0.335,0.583,0.979,0.938,185,85,60,104,63,1,0,1 85,487,0.608,0.324,0.68,0.196,602,68,64,23,76,1,1,1 86,610,0.864,0.772,0.957,0.758,174,30,21,437,29,1,1,0 87,396,0.647,0.264,0.226,0.16,387,255,115,19,15,1,1,1 88,468,0.647,0.368,0.209,0.186,402,462,293,21,19,1,1,1 89,593,0.883,0.331,0.916,0.957,580,47,29,179,27,1,1,0 90,819,0.398,0.733,0.974,0.758,452,41,54,643,52,1,0,0 91,457,0.901,0.847,0.867,0.914,782,27,22,69,34,1,0,1 92,600,0.621,0.188,0.664,0.111,443,32,27,135,40,1,1,1 93,605,0.892,0.155,0.939,0.818,352,89,219,77,548,0,1,0 94,592,0.841,0.827,0.821,0.966,655,17,15,310,17,1,0,0 95,501,0.889,0.252,0.771,0.863,308,45,23,146,23,0,1,0 96,476,0.505,0.527,0.523,0.568,456,60,47,28,68,1,1,1 97,455,0.398,0.488,0.9,0.505,641,53,29,63,20,1,1,1 98,548,0.805,0.65,0.206,0.841,355,64,72,26,82,0,1,1 99,384,0.344,0.417,0.85,0.1,667,28,61,20,84,1,1,1 100,439,0.329,0.411,0.749,0.54,325,57,43,199,45,1,1,1 101,376,0.885,0.501,0.257,0.255,538,109,119,17,225,0,1,1 102,582,0.455,0.648,0.885,0.75,469,50,75,370,65,1,1,0 103,553,0.613,0.904,0.355,0.664,371,84,66,38,28,0,0,1 104,604,0.455,0.562,0.879,0.57,277,16,13,166,10,1,1,0 105,637,0.36,0.509,0.667,0.434,499,70,62,36,29,1,1,1 106,417,0.954,0.317,0.935,0.739,557,30,74,71,87,1,1,0 107,484,0.252,0.117,0.206,0.134,475,66,66,18,75,1,1,1 108,663,0.455,0.731,0.809,0.854,729,14,14,738,13,1,0,0 109,389,0.455,0.414,0.855,0.598,573,46