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

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# rep model2 time variable type value
1 1 Rep01 JM_value 12 AUC training 0.822778754192805
2 2 Rep02 JM_value 12 AUC training 0.848933195256571
3 3 Rep03 JM_value 12 AUC training 0.862521561001043
4 4 Rep04 JM_value 12 AUC training 0.833375357925683
5 5 Rep05 JM_value 12 AUC training 0.897100491152235
6 6 Rep06 JM_value 12 AUC training 0.779352345592461
7 7 Rep07 JM_value 12 AUC training 0.853430241083011
8 8 Rep08 JM_value 12 AUC training 0.898468498880729
9 9 Rep09 JM_value 12 AUC training 0.803299462907902
10 10 Rep10 JM_value 12 AUC training 0.748184256353565
11 11 Rep01 JM_value-slope 12 AUC training 0.866238437260485
12 12 Rep02 JM_value-slope 12 AUC training 0.864234557777708
13 13 Rep03 JM_value-slope 12 AUC training 0.908286179947076
14 14 Rep04 JM_value-slope 12 AUC training 0.787751431981107
15 15 Rep05 JM_value-slope 12 AUC training 0.787146587374204
16 16 Rep06 JM_value-slope 12 AUC training 0.835295650426816
17 17 Rep07 JM_value-slope 12 AUC training 0.843005414673404
18 18 Rep08 JM_value-slope 12 AUC training 0.901357162066136
19 19 Rep09 JM_value-slope 12 AUC training 0.91753741995516
20 20 Rep10 JM_value-slope 12 AUC training 0.76703538489785
21 21 Rep01 JM_cumulative 12 AUC training 0.820240636364776
22 22 Rep02 JM_cumulative 12 AUC training 0.863935445104524
23 23 Rep03 JM_cumulative 12 AUC training 0.880504037029849
24 24 Rep04 JM_cumulative 12 AUC training 0.847731347417825
25 25 Rep05 JM_cumulative 12 AUC training 0.890279894109758
26 26 Rep06 JM_cumulative 12 AUC training 0.862027763954014
27 27 Rep07 JM_cumulative 12 AUC training 0.83927697867237
28 28 Rep08 JM_cumulative 12 AUC training 0.904120967259367
29 29 Rep09 JM_cumulative 12 AUC training 0.882003313385117
30 30 Rep10 JM_cumulative 12 AUC training 0.77464593194671
31 31 Rep01 cox(Landmark) 12 AUC training 0.729588856122143
32 32 Rep02 cox(Landmark) 12 AUC training 0.72226779378167
33 33 Rep03 cox(Landmark) 12 AUC training 0.741376243980917
34 34 Rep04 cox(Landmark) 12 AUC training 0.736797533735883
35 35 Rep05 cox(Landmark) 12 AUC training 0.71962914577701
36 36 Rep06 cox(Landmark) 12 AUC training 0.742204560647253
37 37 Rep07 cox(Landmark) 12 AUC training 0.711730418284596
38 38 Rep08 cox(Landmark) 12 AUC training 0.734390299742717
39 39 Rep09 cox(Landmark) 12 AUC training 0.73279534640977
40 40 Rep10 cox(Landmark) 12 AUC training 0.706688247222823
41 41 Rep01 cox(Postsurgical) 12 AUC training 0.831552012672134
42 42 Rep02 cox(Postsurgical) 12 AUC training 0.822437761322326
43 43 Rep03 cox(Postsurgical) 12 AUC training 0.827839258033941
44 44 Rep04 cox(Postsurgical) 12 AUC training 0.835706634161818
45 45 Rep05 cox(Postsurgical) 12 AUC training 0.821030688324764
46 46 Rep06 cox(Postsurgical) 12 AUC training 0.828030839721262
47 47 Rep07 cox(Postsurgical) 12 AUC training 0.820141503237141
48 48 Rep08 cox(Postsurgical) 12 AUC training 0.833210122023324
49 49 Rep09 cox(Postsurgical) 12 AUC training 0.827370714449469
50 50 Rep10 cox(Postsurgical) 12 AUC training 0.821699312825252
51 51 Rep01 JM_value 15 AUC training 0.786094847013612
52 52 Rep02 JM_value 15 AUC training 0.814464179659203
53 53 Rep03 JM_value 15 AUC training 0.810316017607719
54 54 Rep04 JM_value 15 AUC training 0.790907663877346
55 55 Rep05 JM_value 15 AUC training 0.790946581153113
56 56 Rep06 JM_value 15 AUC training NA
57 57 Rep07 JM_value 15 AUC training 0.805272366038523
58 58 Rep08 JM_value 15 AUC training 0.770058201043306
59 59 Rep09 JM_value 15 AUC training 0.774299629286155
60 60 Rep10 JM_value 15 AUC training 0.802659237238342
61 61 Rep01 JM_value-slope 15 AUC training 0.784856111773847
62 62 Rep02 JM_value-slope 15 AUC training 0.843881439152001
63 63 Rep03 JM_value-slope 15 AUC training 0.741762673990004
64 64 Rep04 JM_value-slope 15 AUC training 0.717548773139172
65 65 Rep05 JM_value-slope 15 AUC training 0.639571796169572
66 66 Rep06 JM_value-slope 15 AUC training 0.853994734741886
67 67 Rep07 JM_value-slope 15 AUC training 0.753821102313584
68 68 Rep08 JM_value-slope 15 AUC training 0.7920255839414
69 69 Rep09 JM_value-slope 15 AUC training 0.840700193194329
70 70 Rep10 JM_value-slope 15 AUC training 0.76421357973787
71 71 Rep01 JM_cumulative 15 AUC training 0.742749573168497
72 72 Rep02 JM_cumulative 15 AUC training 0.841301519510133
73 73 Rep03 JM_cumulative 15 AUC training 0.842078243313076
74 74 Rep04 JM_cumulative 15 AUC training 0.852938440584645
75 75 Rep05 JM_cumulative 15 AUC training 0.830539232917379
76 76 Rep06 JM_cumulative 15 AUC training NA
77 77 Rep07 JM_cumulative 15 AUC training 0.596282731552478
78 78 Rep08 JM_cumulative 15 AUC training 0.820463424090388
79 79 Rep09 JM_cumulative 15 AUC training 0.739849631888155
80 80 Rep10 JM_cumulative 15 AUC training 0.675710890920028
81 81 Rep01 cox(Landmark) 15 AUC training 0.657335115323423
82 82 Rep02 cox(Landmark) 15 AUC training 0.651936300548095
83 83 Rep03 cox(Landmark) 15 AUC training 0.670525442672454
84 84 Rep04 cox(Landmark) 15 AUC training 0.670287663473556
85 85 Rep05 cox(Landmark) 15 AUC training 0.646186085278258
86 86 Rep06 cox(Landmark) 15 AUC training 0.660619551612196
87 87 Rep07 cox(Landmark) 15 AUC training 0.645186511012016
88 88 Rep08 cox(Landmark) 15 AUC training 0.660341199755911
89 89 Rep09 cox(Landmark) 15 AUC training 0.665288705250161
90 90 Rep10 cox(Landmark) 15 AUC training 0.645932442724349
91 91 Rep01 cox(Postsurgical) 15 AUC training 0.790568952471341
92 92 Rep02 cox(Postsurgical) 15 AUC training 0.790366293926714
93 93 Rep03 cox(Postsurgical) 15 AUC training 0.788036148861506
94 94 Rep04 cox(Postsurgical) 15 AUC training 0.806291967951675
95 95 Rep05 cox(Postsurgical) 15 AUC training 0.782043553000812
96 96 Rep06 cox(Postsurgical) 15 AUC training 0.786208662863264
97 97 Rep07 cox(Postsurgical) 15 AUC training 0.787270077280126
98 98 Rep08 cox(Postsurgical) 15 AUC training 0.788523899988124
99 99 Rep09 cox(Postsurgical) 15 AUC training 0.798383301117293
100 100 Rep10 cox(Postsurgical) 15 AUC training 0.791284133029775