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Models:
Richard Zick
RichardZick/
ctDNA-dynamic-prediction
0
Downloads: 1
[daa031]: / results / CV_all_patients / outdata.csv

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# rep model2 time variable type value
1 1 Rep01 JM_value 12 AUC training 0.892404508758247
2 2 Rep02 JM_value 12 AUC training 0.898356333585146
3 3 Rep03 JM_value 12 AUC training 0.913349341235002
4 4 Rep04 JM_value 12 AUC training 0.896691443407721
5 5 Rep05 JM_value 12 AUC training 0.845687398928736
6 6 Rep06 JM_value 12 AUC training 0.898228230031764
7 7 Rep07 JM_value 12 AUC training 0.807002957770953
8 8 Rep08 JM_value 12 AUC training 0.915412746003304
9 9 Rep09 JM_value 12 AUC training 0.887513167654345
10 10 Rep10 JM_value 12 AUC training 0.823438688982596
11 11 Rep11 JM_value 12 AUC training 0.908138016502162
12 12 Rep12 JM_value 12 AUC training 0.894612054174798
13 13 Rep13 JM_value 12 AUC training 0.855072763741496
14 14 Rep14 JM_value 12 AUC training 0.913644820519433
15 15 Rep15 JM_value 12 AUC training 0.861621561347367
16 16 Rep16 JM_value 12 AUC training 0.90329684416448
17 17 Rep17 JM_value 12 AUC training 0.900010632247428
18 18 Rep18 JM_value 12 AUC training 0.911145125798018
19 19 Rep19 JM_value 12 AUC training 0.89075359310212
20 20 Rep20 JM_value 12 AUC training 0.908172129624122
21 21 Rep01 JM_value-slope 12 AUC training 0.907326286716544
22 22 Rep02 JM_value-slope 12 AUC training 0.906978821311873
23 23 Rep03 JM_value-slope 12 AUC training 0.78433918758641
24 24 Rep04 JM_value-slope 12 AUC training 0.721404836559066
25 25 Rep05 JM_value-slope 12 AUC training 0.897309584819468
26 26 Rep06 JM_value-slope 12 AUC training 0.820216300404721
27 27 Rep07 JM_value-slope 12 AUC training 0.845652825713416
28 28 Rep08 JM_value-slope 12 AUC training 0.905247578034875
29 29 Rep09 JM_value-slope 12 AUC training 0.900604680132477
30 30 Rep10 JM_value-slope 12 AUC training 0.763533898817831
31 31 Rep11 JM_value-slope 12 AUC training 0.908109976415565
32 32 Rep12 JM_value-slope 12 AUC training 0.907542573915102
33 33 Rep13 JM_value-slope 12 AUC training 0.735950273997424
34 34 Rep14 JM_value-slope 12 AUC training 0.891657359868361
35 35 Rep15 JM_value-slope 12 AUC training 0.844939509568213
36 36 Rep16 JM_value-slope 12 AUC training 0.874290785994395
37 37 Rep17 JM_value-slope 12 AUC training 0.901777432223126
38 38 Rep18 JM_value-slope 12 AUC training 0.856992747858834
39 39 Rep19 JM_value-slope 12 AUC training 0.839123879042969
40 40 Rep20 JM_value-slope 12 AUC training 0.921573710581502
41 41 Rep01 JM_cumulative 12 AUC training 0.884570106727787
42 42 Rep02 JM_cumulative 12 AUC training 0.856415132840653
43 43 Rep03 JM_cumulative 12 AUC training 0.868691827651894
44 44 Rep04 JM_cumulative 12 AUC training 0.87443875155671
45 45 Rep05 JM_cumulative 12 AUC training 0.913603100430332
46 46 Rep06 JM_cumulative 12 AUC training 0.905756632293
47 47 Rep07 JM_cumulative 12 AUC training 0.897509811108679
48 48 Rep08 JM_cumulative 12 AUC training 0.91487342304016
49 49 Rep09 JM_cumulative 12 AUC training 0.850278463510084
50 50 Rep10 JM_cumulative 12 AUC training 0.912847698033131
51 51 Rep11 JM_cumulative 12 AUC training 0.915562915016766
52 52 Rep12 JM_cumulative 12 AUC training 0.907857087837417
53 53 Rep13 JM_cumulative 12 AUC training 0.893448254495077
54 54 Rep14 JM_cumulative 12 AUC training 0.871734618728597
55 55 Rep15 JM_cumulative 12 AUC training 0.917330016709356
56 56 Rep16 JM_cumulative 12 AUC training 0.909400636669582
57 57 Rep17 JM_cumulative 12 AUC training 0.903928725711426
58 58 Rep18 JM_cumulative 12 AUC training 0.910692797814846
59 59 Rep19 JM_cumulative 12 AUC training 0.913303534762562
60 60 Rep20 JM_cumulative 12 AUC training 0.910350161739047
61 61 Rep01 cox(Landmark) 12 AUC training 0.737282261223105
62 62 Rep02 cox(Landmark) 12 AUC training 0.73506568103898
63 63 Rep03 cox(Landmark) 12 AUC training 0.741183218047898
64 64 Rep04 cox(Landmark) 12 AUC training 0.729565101898439
65 65 Rep05 cox(Landmark) 12 AUC training 0.738771173418528
66 66 Rep06 cox(Landmark) 12 AUC training 0.732226306124928
67 67 Rep07 cox(Landmark) 12 AUC training 0.730183804997315
68 68 Rep08 cox(Landmark) 12 AUC training 0.737105852534428
69 69 Rep09 cox(Landmark) 12 AUC training 0.72484132316349
70 70 Rep10 cox(Landmark) 12 AUC training 0.723309566554583
71 71 Rep11 cox(Landmark) 12 AUC training 0.743259115635322
72 72 Rep12 cox(Landmark) 12 AUC training 0.735906748300472
73 73 Rep13 cox(Landmark) 12 AUC training 0.737665231622954
74 74 Rep14 cox(Landmark) 12 AUC training 0.729384455332998
75 75 Rep15 cox(Landmark) 12 AUC training 0.726241093511222
76 76 Rep16 cox(Landmark) 12 AUC training 0.737966237445628
77 77 Rep17 cox(Landmark) 12 AUC training 0.736666452604131
78 78 Rep18 cox(Landmark) 12 AUC training 0.731918543539692
79 79 Rep19 cox(Landmark) 12 AUC training 0.730354459183593
80 80 Rep20 cox(Landmark) 12 AUC training 0.736163005699826
81 81 Rep01 cox(Postsurgical) 12 AUC training 0.742577004852901
82 82 Rep02 cox(Postsurgical) 12 AUC training 0.74819398200288
83 83 Rep03 cox(Postsurgical) 12 AUC training 0.753366315088748
84 84 Rep04 cox(Postsurgical) 12 AUC training 0.7474931898432
85 85 Rep05 cox(Postsurgical) 12 AUC training 0.745653298158103
86 86 Rep06 cox(Postsurgical) 12 AUC training 0.748535829890679
87 87 Rep07 cox(Postsurgical) 12 AUC training 0.746401508430732
88 88 Rep08 cox(Postsurgical) 12 AUC training 0.745945758714934
89 89 Rep09 cox(Postsurgical) 12 AUC training 0.756236464212169
90 90 Rep10 cox(Postsurgical) 12 AUC training 0.749104035852428
91 91 Rep11 cox(Postsurgical) 12 AUC training 0.751247949358008
92 92 Rep12 cox(Postsurgical) 12 AUC training 0.742951178922942
93 93 Rep13 cox(Postsurgical) 12 AUC training 0.745156184037623
94 94 Rep14 cox(Postsurgical) 12 AUC training 0.751557505426898
95 95 Rep15 cox(Postsurgical) 12 AUC training 0.746619794213282
96 96 Rep16 cox(Postsurgical) 12 AUC training 0.744694472989978
97 97 Rep17 cox(Postsurgical) 12 AUC training 0.743469373706059
98 98 Rep18 cox(Postsurgical) 12 AUC training 0.7433838558133
99 99 Rep19 cox(Postsurgical) 12 AUC training 0.7486277172837
100 100 Rep20 cox(Postsurgical) 12 AUC training 0.747285536335132