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RESULTS.txt
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Report file
Iteration 1
Training file ./10cv_FS/10cv_new_PLGA_FS_to_7_in_no1.txt
Test file ./10cv_FS/t-10cv_new_PLGA_FS_to_7_in_no1.txt
RMSE = 15.97631001551914
R2 = 0.6926024272909075
predict Q_perc Fold_no
0 13.751085245524637 2.294 1
1 22.24860838382422 5.046 1
2 30.58917927920386 10.55 1
3 32.115927245389074 11.009 1
4 39.77725140742525 12.844 1
5 39.8529415396127 17.431 1
6 2.412079915412804 0.0 1
7 45.31524582021787 63.404 1
8 48.881282385447165 78.723 1
9 44.950854068164816 75.745 1
10 29.85175661557271 53.91 1
11 32.13435409963979 58.27 1
12 41.018132397447815 63.875 1
13 39.68680312392219 66.367 1
14 41.67880048370837 68.235 1
15 42.67520136992364 69.481 1
16 46.378420396250775 70.415 1
17 47.47486722703009 71.349 1
18 52.27946624393492 72.595 1
19 53.17181685800581 73.529 1
20 59.28004034283488 74.464 1
21 59.93701823475688 76.021 1
22 63.755060185221126 77.578 1
23 68.52612696262925 78.201 1
24 68.74425820681184 79.135 1
25 69.5422969018194 80.069 1
26 74.04383349466055 81.003 1
27 74.18293391867458 81.315 1
28 74.21117192461072 81.315 1
29 75.87615439250051 81.938 1
30 76.97595924838363 81.938 1
31 77.29517889722167 82.249 1
32 77.29517889722167 82.561 1
33 78.5625389064747 82.872 1
34 79.69674850209533 82.872 1
35 79.69674850209533 83.183 1
36 79.69674850209533 83.183 1
37 81.18459377019583 82.872 1
38 82.10701285443186 83.183 1
39 41.57425082382663 13.187 1
40 57.27372078877791 17.582 1
41 57.65464705509051 29.121 1
42 67.68311837223276 32.418 1
43 67.26030310896142 46.154 1
44 68.49969465472653 59.89 1
45 72.91965721362187 70.879 1
46 74.79918328423203 81.868 1
47 73.84585652996005 90.659 1
48 74.70312406990827 96.154 1
49 73.02441474173368 100.549 1
50 -2.774642670984278 0.0 1
51 22.965537449819134 18.187 1
52 30.03249418922617 16.0 1
53 32.155569063973715 23.341 1
54 32.53635366029023 27.213 1
55 40.1371265449646 26.753 1
56 47.15840590233832 47.507 1
57 55.81841647765516 60.898 1
58 65.1623568353328 63.458 1
59 64.92512464756994 63.864 1
60 68.562508525801 63.838 1
61 70.42726250599056 62.917 1
62 73.1641159202057 63.295 1
63 2.5757167027416727 0.0 1
64 47.04363798583775 44.628 1
65 61.24934524569228 64.05 1
66 66.558570623319 66.942 1
67 70.83777514642254 63.223 1
68 70.03154256550745 66.116 1
69 72.63844849059508 67.355 1
70 81.61061866844223 81.405 1
71 79.41185569280908 97.934 1
72 13.951207126964915 12.113 1
73 18.62722348562359 16.223 1
74 19.812252339449813 17.414 1
75 21.4221001700583 18.156 1
76 27.04062732542782 20.021 1
Iteration 2
Training file ./10cv_FS/10cv_new_PLGA_FS_to_7_in_no2.txt
Test file ./10cv_FS/t-10cv_new_PLGA_FS_to_7_in_no2.txt
RMSE = 16.949474872294715
R2 = 0.5741675313737116
predict Q_perc Fold_no
77 32.84909297483185 29.308 2
78 40.17996304439524 32.422 2
79 43.4969806219838 33.045 2
80 45.23675500093171 33.668 2
81 50.770651432258575 37.093 2
82 52.46175268156597 37.093 2
83 60.876076138151376 37.405 2
84 60.876076138151376 37.716 2
85 63.36166358230778 39.896 2
86 64.18692824481198 40.83 2
87 69.3744984413884 43.945 2
88 69.3744984413884 49.55 2
89 72.45613951193312 53.91 2
90 74.97499501662472 59.516 2
91 76.62867001028874 62.318 2
92 77.06879724891999 65.121 2
93 78.3384014922581 71.038 2
94 78.50499269696095 71.661 2
95 78.50499269696095 71.349 2
96 80.15611824723103 71.661 2
97 80.15611824723103 72.284 2
98 80.37604007454732 73.529 2
99 80.37604007454732 74.152 2
100 80.37604007454732 77.578 2
101 80.37604007454732 78.512 2
102 80.5111489924989 79.135 2
103 80.5111489924989 79.446 2
104 81.69606334300855 79.446 2
105 81.69606334300855 79.446 2
106 8.010495567267327 24.56 2
107 10.83818099046269 28.916 2
108 11.98445973130086 30.337 2
109 13.150752048512487 31.308 2
110 17.01503566051045 37.238 2
111 2.928752118294625 0.0 2
112 28.112158173268227 29.412 2
113 32.37039236122885 36.029 2
114 38.782980197613625 42.279 2
115 41.87573319351444 45.588 2
116 49.304882943388776 48.897 2
117 55.71986949419673 54.044 2
118 59.29425711905654 57.353 2
119 62.41294070756206 64.338 2
120 68.142781409008 68.382 2
121 69.81742759751299 78.309 2
122 75.58984234141329 83.088 2
123 76.9059586744211 88.603 2
124 3.887517729347138 0.0 2
125 47.59126141997197 77.273 2
126 57.98604262204984 88.017 2
127 63.05064325923243 96.281 2
128 66.29824584121027 95.868 2
129 66.31531797027358 88.017 2
130 68.6839974564887 85.537 2
131 79.92031927829751 88.843 2
132 81.0858635199643 75.207 2
133 0.312222012823014 0.0 2
134 24.98812967309871 26.236 2
135 50.95466118822017 56.185 2
136 49.93626071656266 60.731 2
137 56.66000002766171 70.637 2
138 55.4827517760373 66.631 2
139 59.04575164294013 68.313 2
140 77.07860330915221 77.375 2
141 77.88573503172168 74.204 2
142 0.3300308767161652 0.0 2
143 41.80005559655049 2.972 2
144 39.83066441448548 4.437 2
145 40.04599400194505 11.424 2
146 38.67541024418691 29.456 2
147 38.38933044070521 39.958 2
148 40.00342547292033 54.979 2
149 42.32511700833359 75.022 2
150 43.54358615124741 85.021 2
151 45.88461916292229 94.519 2
Iteration 3
Training file ./10cv_FS/10cv_new_PLGA_FS_to_7_in_no3.txt
Test file ./10cv_FS/t-10cv_new_PLGA_FS_to_7_in_no3.txt
RMSE = 18.761603892127056
R2 = 0.4548811134578784
predict Q_perc Fold_no
152 60.56396747105208 62.999 3
153 67.86428306535271 70.491 3
154 68.27053133774933 71.566 3
155 70.81350214410958 74.169 3
156 73.3498047698933 77.885 3
157 75.18317699774087 79.319 3
158 75.50064301832498 80.79 3
159 7.993665617000431 0.0 3
160 41.22679453719792 2.469 3
161 76.18728357781146 12.757 3
162 79.74330850545738 15.226 3
163 81.59372319285211 41.564 3
164 79.48619923442055 55.144 3
165 79.48619923442055 60.082 3
166 84.45718524236617 64.198 3
167 82.69619242478547 48.971 3
168 2.627433106344313 0.0 3
169 24.53021192554769 10.736 3
170 42.45978139344987 12.872 3
171 35.80573900420603 14.828 3
172 37.97273989398417 16.426 3
173 41.26735426862177 17.84 3
174 43.503354895901055 19.433 3
175 47.87601339821157 21.206 3
176 54.84165308442351 22.974 3
177 61.14424599222292 26.885 3
178 32.726242430549235 23.391 3
179 36.677190266590685 28.997 3
180 40.11895444993314 33.979 3
181 40.46105957780418 34.291 3
182 43.59405688386795 35.225 3
183 46.403936946805686 35.848 3
184 48.07209438834724 36.782 3
185 51.22289024111268 38.028 3
186 53.13542827036616 43.945 3
187 53.13542827036616 47.37 3
188 57.17758896764752 47.993 3
189 63.689574090805024 50.173 3
190 66.75803191032645 54.844 3
191 70.75561785888311 63.875 3
192 70.75561785888311 66.99 3
193 74.43382609825966 70.104 3
194 74.66783773344395 73.529 3
195 74.66783773344395 74.152 3
196 74.66783773344395 74.464 3
197 75.13847789544997 75.398 3
198 75.13847789544997 76.021 3
199 75.34587141130504 76.955 3
200 76.48213635389146 78.201 3
201 77.76880206171808 78.201 3
202 77.76880206171808 78.512 3
203 77.76880206171808 78.824 3
204 77.76880206171808 79.135 3
205 78.37302757803735 79.135 3
206 79.12320317332086 79.135 3
207 2.250985203351945 0.0 3
208 31.531147284474343 12.531 3
209 53.87079354193446 27.923 3
210 63.226896395947904 34.713 3
211 63.87561685596046 40.966 3
212 65.26614908133087 45.608 3
213 68.1353992075139 49.528 3
214 69.56680010263261 53.27 3
215 69.66892382506666 56.475 3
216 71.02794162933168 59.142 3
217 77.46610386673746 61.451 3
218 76.75614194576082 64.293 3
219 76.76747150723276 66.419 3
220 14.170978760387868 6.099 3
221 19.698882073205084 10.974 3
222 21.17160676016391 15.624 3
223 21.48698253561196 18.007 3
224 25.870572339784477 26.279 3
Iteration 4
Training file ./10cv_FS/10cv_new_PLGA_FS_to_7_in_no4.txt
Test file ./10cv_FS/t-10cv_new_PLGA_FS_to_7_in_no4.txt
RMSE = 13.664067651151043
R2 = 0.7845930753242225
predict Q_perc Fold_no
225 58.49103070540154 62.999 4
226 68.3084391478988 70.49 4
227 67.54353215290034 71.942 4
228 70.00056306203628 74.168 4
229 72.11733838846708 78.264 4
230 72.5236994775551 78.942 4
231 73.13346050610566 80.413 4
232 0.3583917834403536 0.0 4
233 46.53145577689433 57.025 4
234 46.02671983396435 71.488 4
235 52.53928829381043 71.074 4
236 55.527479673044624 75.207 4
237 55.33436407079721 74.793 4
238 57.33443160285974 76.446 4
239 75.53503724863553 75.207 4
240 76.67835739930892 71.488 4
241 10.821096412146332 9.232 4
242 16.071205175721886 11.384 4
243 18.19199251221293 11.504 4
244 19.144801691414656 13.203 4
245 23.9919257911461 16.48 4
246 -0.3228669806776025 0.0 4
247 10.154872161576392 25.095 4
248 13.325126854011655 29.275 4
249 11.974352795870844 34.271 4
250 14.293905792998018 38.426 4
251 16.37167089549625 41.183 4
252 20.41717194882953 43.108 4
253 21.80599922990227 45.033 4
254 23.828080734478178 48.901 4
255 27.256543031202497 51.956 4
256 32.6909900302599 58.614 4
257 36.20978890681367 59.98 4
258 0.7657133892717383 0.0 4
259 10.0863146253469 9.126 4
260 20.299918997341635 12.235 4
261 23.12297892128849 13.667 4
262 29.70157424105132 14.89 4
263 31.68718735152656 16.734 4
264 35.42792569124872 18.791 4
265 36.43560845615143 20.638 4
266 37.41707724822486 25.801 4
267 41.27565137041533 30.14 4
268 44.87015453470672 35.098 4
269 34.179888958351555 36.159 4
270 35.833230013267936 49.55 4
271 38.54639303149456 53.599 4
272 42.242273772375526 55.467 4
273 45.22857821943039 56.401 4
274 48.536810072379055 57.024 4
275 53.35283664079184 60.45 4
276 54.355662735419216 65.121 4
277 56.016503311002495 69.17 4
278 56.016503311002495 72.284 4
279 60.001876346075775 76.644 4
280 60.94153443841064 79.758 4
281 66.83595321817124 81.938 4
282 69.86939940346205 83.806 4
283 72.03322209907496 85.052 4
284 77.00256586378241 86.92 4
285 79.39086038177633 90.035 4
286 79.60834884201908 90.346 4
287 79.60834884201908 91.28 4
288 80.8024087206068 91.28 4
289 82.134069371743 92.215 4
290 83.21267152182558 92.526 4
291 84.10618370655725 92.526 4
292 85.42915186170289 93.149 4
293 85.42915186170289 93.772 4
294 85.76010813448379 94.394 4
295 86.35569687817046 94.706 4
296 87.21549527976462 94.706 4
297 87.4231211457009 94.706 4
Iteration 5
Training file ./10cv_FS/10cv_new_PLGA_FS_to_7_in_no5.txt
Test file ./10cv_FS/t-10cv_new_PLGA_FS_to_7_in_no5.txt
RMSE = 19.94805626249347
R2 = 0.5463494343443656
predict Q_perc Fold_no
298 0.0782712396323859 0.0 5
299 10.1034595739186 41.564 5
300 26.43212103062274 60.082 5
301 30.83316772394778 60.082 5
302 48.68115145816432 56.379 5
303 51.84304374932276 61.728 5
304 53.02506680889951 64.198 5
305 68.43207357973756 72.428 5
306 66.43856261820497 72.84 5
307 14.183207478010672 16.38 5
308 15.755902375662345 17.569 5
309 18.5785355340779 19.211 5
310 18.16704837766906 20.403 5
311 21.239623488611187 24.065 5
312 -1.024783311775309 0.0 5
313 43.77661186606588 59.434 5
314 47.21986691058578 90.612 5
315 45.78983181678655 90.648 5
316 46.57613972677814 97.686 5
317 46.539664243450034 88.762 5
318 47.72168730302678 90.033 5
319 68.844449737677 88.851 5
320 69.9610585659832 81.991 5
321 4.961371384197491 0.0 5
322 35.00247665458323 46.667 5
323 52.309506902107614 69.63 5
324 65.09050181541556 84.074 5
325 75.18174248408491 89.259 5
326 77.82803588580305 92.222 5
327 78.63370639305526 93.231 5
328 85.64288223009521 94.154 5
329 85.64288223009521 95.077 5
330 85.84646165590698 95.538 5
331 83.831053296439 95.538 5
332 84.09390720944816 96.462 5
333 83.82331483285839 98.769 5
334 83.82331483285839 99.692 5
335 83.82331483285839 99.692 5
336 79.95841029622557 100.0 5
337 80.00790475877898 100.0 5
338 80.37008973407524 100.0 5
339 9.364909458541888 0.0 5
340 43.02608234212698 17.231 5
341 58.49571696259977 32.0 5
342 62.82177284323575 43.077 5
343 64.0192226465881 45.538 5
344 64.14397707545163 53.538 5
345 61.58772762828471 56.615 5
346 61.26621304788591 59.692 5
347 64.2160896133721 65.846 5
348 69.85735928230883 69.538 5
349 71.79149666392209 73.846 5
350 73.90036445447208 79.385 5
351 74.96073701568844 81.846 5
352 80.31583290138246 83.692 5
353 80.33858344667556 84.923 5
354 81.20173882284166 86.769 5
355 85.22946792432072 88.0 5
356 16.63395218933897 35.119 5
357 19.25640270496683 37.139 5
358 26.402571316910556 39.406 5
359 31.32966568889992 40.903 5
360 36.70606672587769 43.151 5
361 45.1400480646264 46.166 5
362 63.00133290920371 49.938 5
363 68.53870741125161 55.732 5
364 72.26681699614005 64.557 5
365 72.66597130159812 72.626 5
366 72.66597130159812 80.927 5
367 72.66597130159812 83.183 5
368 -0.2781448065213681 0.0 5
369 26.469465360147524 85.086 5
370 34.280319104073214 91.323 5
371 68.32816258665139 93.969 5
372 76.11593083302455 95.342 5
Iteration 6
Training file ./10cv_FS/10cv_new_PLGA_FS_to_7_in_no6.txt
Test file ./10cv_FS/t-10cv_new_PLGA_FS_to_7_in_no6.txt
RMSE = 9.44156482302531
R2 = 0.9057173706816061
predict Q_perc Fold_no
373 -2.619023516699187 0.0 6
374 8.346921114558839 6.844 6
375 10.60788631795954 10.782 6
376 12.303121201536172 12.629 6
377 16.26779685433071 13.23 6
378 17.01804470703287 15.074 6
379 18.992628129798007 16.716 6
380 21.212073835211825 17.941 6
381 22.20690086357577 20.199 6
382 28.86524422619773 23.916 6
383 33.86305159855915 27.422 6
384 15.051016509375089 1.325 6
385 19.745564355357104 1.84 6
386 21.18313286437701 2.357 6
387 21.26596493269831 3.099 6
388 24.373331234923583 4.515 6
389 1.253550079144091 0.0 6
390 22.66833998305306 15.052 6
391 44.65981031251654 27.448 6
392 43.55427835085944 30.104 6
393 46.72656968976885 33.645 6
394 54.037449309095294 32.76 6
395 58.14996132855818 44.27 6
396 60.22032461776912 57.551 6
397 69.54394345819533 64.634 6
398 74.0231656329292 71.718 6
399 76.43339662715375 77.03 6
400 80.02739260062158 83.228 6
401 85.8507914887327 85.884 6
402 86.15098897456706 88.54 6
403 86.15098897456706 91.197 6
404 86.22892762064517 96.509 6
405 86.09577215551913 100.051 6
406 87.9973886394459 93.853 6
407 -1.51126762064591 0.0 6
408 25.905721074627262 30.82 6
409 26.197112296433676 31.803 6
410 30.393759761662707 33.115 6
411 31.75175806573175 38.689 6
412 34.736065022373126 39.672 6
413 36.73263472663753 42.295 6
414 36.73263472663753 43.607 6
415 38.04019955145709 43.934 6
416 9.277973748585694 13.97 6
417 12.427332293084376 15.668 6
418 15.31791443641346 16.24 6
419 15.888610059354008 17.489 6
420 19.52958572669236 19.414 6
421 -0.9110534791084746 0.0 6
422 40.68150396233473 39.669 6
423 64.20154472867075 59.917 6
424 66.68098938332919 57.438 6
425 74.42068330427215 57.851 6
426 72.39467402077794 52.893 6
427 72.03127997085035 52.479 6
428 81.80378697296187 76.446 6
429 81.73488125247464 83.058 6
430 0.7161120497207349 0.0 6
431 11.35262235319756 6.986 6
432 11.679032582515404 8.219 6
433 18.05905802893035 14.384 6
434 36.09548571957789 28.356 6
435 40.99089570595466 34.521 6
436 56.25167688606821 37.397 6
437 60.75574596175507 48.082 6
438 67.47897367361516 53.014 6
439 75.73540605507374 62.466 6
440 83.43738634787083 67.397 6
441 85.93622083305895 71.918 6
442 88.7111870171088 79.726 6
443 94.94688387304129 88.767 6
444 98.20770165692598 92.466 6
445 98.95485070343643 94.521 6
446 98.95485070343643 99.863 6
Iteration 7
Training file ./10cv_FS/10cv_new_PLGA_FS_to_7_in_no7.txt
Test file ./10cv_FS/t-10cv_new_PLGA_FS_to_7_in_no7.txt
RMSE = 11.618788149760263
R2 = 0.8569414608389755
predict Q_perc Fold_no
447 10.861376343538032 13.57 7
448 13.464209254317431 20.03 7
449 15.155434229363202 26.716 7
450 17.754476427052616 29.782 7
451 22.86952760065764 38.732 7
452 12.152901828532087 8.814 7
453 13.789136694230583 15.729 7
454 15.480361669276355 23.546 7
455 15.761582444373964 26.838 7
456 20.36807374651402 38.732 7
457 -1.077397417208665 0.0 7
458 17.599137401567752 5.342 7
459 8.900150779994185 6.986 7
460 16.54542854277974 16.027 7
461 29.800997875990326 28.356 7
462 33.606920536675936 32.877 7
463 34.33922486805681 40.274 7
464 41.826893833068645 60.411 7
465 50.31159549446169 66.164 7
466 52.14059055929396 70.274 7
467 62.153250785147286 78.082 7
468 72.32333804627274 81.37 7
469 74.61278767844055 85.479 7
470 78.75818650571023 88.767 7
471 86.50751369034265 96.575 7
472 89.71832719917734 100.0 7
473 92.26336123708028 100.0 7
474 98.02252477693696 100.0 7
475 -1.9731597117395336 0.0 7
476 35.96733969579076 25.246 7
477 36.502930058525855 27.541 7
478 42.50141868590003 27.869 7
479 42.83726092277652 32.131 7
480 44.35336191801911 36.393 7
481 47.09052192612875 38.689 7
482 46.23813017650832 39.672 7
483 46.23813017650832 40.656 7
484 -0.9573548722153262 0.0 7
485 13.59737822952888 4.755 7
486 15.12201517801008 6.152 7
487 18.76901836860201 7.247 7
488 22.169373985652093 8.621 7
489 24.652962289091413 11.388 7
490 25.60534961455709 14.16 7
491 26.061580539953177 16.652 7
492 29.823224903356497 23.897 7
493 30.75005652875847 28.085 7
494 37.58909248308486 34.208 7
495 42.822488907065456 36.7 7
496 -0.7112575077524141 0.0 7
497 28.45049814441449 8.203 7
498 60.17699610888234 31.593 7
499 64.0524777376952 35.729 7
500 65.14258914654351 37.851 7
501 64.9091645360852 35.073 7
502 65.8678088600675 40.034 7
503 79.72651964266993 80.243 7
504 77.11019060042895 78.712 7
505 1.0654611327438417 0.0 7
506 17.284133222313578 11.096 7
507 21.75412662176972 18.082 7
508 30.45262784546798 20.137 7
509 36.64807666472483 26.301 7
510 35.61917400040988 30.822 7
511 43.92293027469281 41.507 7
512 48.837850574938095 46.027 7
513 52.42270167504761 58.767 7
514 61.086901703452206 68.63 7
515 72.14058933367346 78.493 7
516 74.43003896584128 83.425 7
517 83.86548308615897 93.288 7
518 86.85396343942125 99.452 7
519 89.62133063289662 99.452 7
520 94.26960780757804 99.452 7
Iteration 8
Training file ./10cv_FS/10cv_new_PLGA_FS_to_7_in_no8.txt
Test file ./10cv_FS/t-10cv_new_PLGA_FS_to_7_in_no8.txt
RMSE = 20.45747566848933
R2 = 0.5520595261292861
predict Q_perc Fold_no
521 4.413656586920702 0.0 8
522 35.71994081828729 21.074 8
523 71.17397080422364 37.603 8
524 79.2773816409985 36.777 8
525 81.79703683000974 40.083 8
526 82.00908252098583 35.537 8
527 84.494831832731 37.603 8
528 89.26746046044849 63.223 8
529 86.65004059872575 74.793 8
530 18.190238745557004 18.394 8
531 32.76852779430323 18.394 8
532 36.56064828080111 22.073 8
533 39.1014446249696 25.752 8
534 42.54504372100332 33.109 8
535 51.68627507567857 36.788 8
536 55.14330860555624 40.467 8
537 63.78676728953128 47.824 8
538 63.41366972043165 55.182 8
539 66.90812313710325 58.861 8
540 70.15486981128328 62.539 8
541 71.00709267114274 66.218 8
542 73.49425356243722 66.218 8
543 74.85636867736451 66.218 8
544 75.49973409776561 66.218 8
545 77.81305017475955 66.218 8
546 16.339595701685035 10.092 8
547 28.83230938403853 15.138 8
548 46.85889357342371 20.183 8
549 53.37282199054011 29.358 8
550 63.596828900882834 46.789 8
551 3.54765377533608 0.0 8
552 20.47924185884171 22.046 8
553 21.046590797277027 41.216 8
554 30.277517394767933 57.031 8
555 32.02641057004207 63.741 8
556 32.25473314025425 68.533 8
557 43.56497731539407 77.639 8
558 56.53717025138889 80.994 8
559 59.66102847971474 86.745 8
560 69.52772975948159 89.621 8
561 74.32785174450822 92.017 8
562 83.98543288153581 93.455 8
563 87.66140965712242 98.247 8
564 88.51363251698189 100.164 8
565 90.4372318942564 100.164 8
566 93.01599376988582 100.644 8
567 94.62985322219303 100.644 8
568 93.9221626852172 100.164 8
569 5.981848571589076 0.0 8
570 32.503379505267226 18.174 8
571 41.18435075893053 28.926 8
572 52.63792616142877 32.098 8
573 52.81049250452765 33.149 8
574 53.204502921691024 33.442 8
575 53.56169212996014 34.492 8
576 54.73918928219923 34.927 8
577 55.50287995734238 38.695 8
578 55.34533351161503 42.917 8
579 56.978111738944285 47.745 8
580 56.978111738944285 53.937 8
581 5.803096039360248 0.0 8
582 38.70458568087765 66.379 8
583 44.87249768353053 66.81 8
584 54.00084407082745 67.241 8
585 53.10668010557988 78.448 8
586 55.53891437794068 93.534 8
587 62.72097384477952 98.707 8
588 69.73178866426446 100.0 8
589 76.83652785154976 100.0 8
590 19.021386699890577 4.261 8
591 17.866795275965565 7.487 8
592 20.93956354553797 9.357 8
593 21.493852983717662 10.779 8
594 26.72220326543306 13.554 8
Iteration 9
Training file ./10cv_FS/10cv_new_PLGA_FS_to_7_in_no9.txt
Test file ./10cv_FS/t-10cv_new_PLGA_FS_to_7_in_no9.txt
RMSE = 15.447373448021072
R2 = 0.803401245926499
predict Q_perc Fold_no
595 61.35751259033025 59.603 9
596 70.7516046835521 60.678 9
597 74.94782141209038 64.772 9
598 75.53951019406708 66.243 9
599 77.40148395657928 69.961 9
600 78.83978551425429 70.64 9
601 80.05385021664591 72.488 9
602 6.213770749135101 0.0 9
603 49.22103513227233 41.481 9
604 62.70212853894957 64.444 9
605 70.55505197969654 77.037 9
606 83.2181466902552 94.444 9
607 87.07090414417365 96.667 9
608 90.50434962575711 97.385 9
609 91.24265579049865 98.769 9
610 95.1982178442126 99.231 9
611 95.56685310378128 99.692 9
612 97.05569052472168 99.692 9
613 97.14375507607514 99.692 9
614 96.9853664295228 99.692 9
615 96.9853664295228 99.692 9
616 95.4557272636743 99.692 9
617 88.25441889031248 100.0 9
618 86.2363267087789 100.0 9
619 84.20683777457492 100.0 9
620 12.17738893357494 2.456 9
621 16.02342814495244 5.003 9
622 18.88228162084163 6.427 9
623 21.547513205412933 7.849 9
624 24.642565600428888 11.3 9
625 -0.7000023938304096 0.0 9
626 21.097782836150536 19.259 9
627 26.793085844110852 23.704 9
628 32.92988914329947 30.741 9
629 38.54758511562289 38.148 9
630 46.24399143163503 45.926 9
631 50.58933297995866 57.778 9
632 52.22001331750692 61.111 9
633 54.011782553833136 65.926 9
634 64.60075726811232 71.111 9
635 73.44226871136965 78.148 9
636 81.44724395204724 86.667 9
637 87.2861642309876 92.222 9
638 -1.3226519845480382 0.0 9
639 32.45518236103856 87.243 9
640 43.848827150738025 87.654 9
641 43.785788628127584 96.296 9
642 56.22022472330757 93.004 9
643 53.06165518806704 83.951 9
644 58.38920335294136 87.243 9
645 71.77369775026494 88.889 9
646 66.49785431250388 81.07 9
647 -4.33924400169014 0.0 9
648 13.150659276958711 10.075 9
649 14.036944581981906 11.472 9
650 19.37960332687401 13.128 9
651 22.00310051496529 16.18 9
652 26.685592070775265 18.108 9
653 28.611762247485267 19.76 9
654 30.39597364279364 20.853 9
655 38.81089525923056 23.617 9
656 38.89259363684726 26.405 9
657 42.70482071043846 35.888 9
658 45.936037278938265 38.66 9
659 6.190054104751134 0.0 9
660 27.73851247233727 14.35 9
661 56.91690538552978 41.021 9
662 67.33845592368783 41.877 9
663 69.73683921070227 48.507 9
664 72.1457753778381 48.189 9
665 73.65738797569105 54.378 9
666 86.60473363249952 88.03 9
667 84.15160280987078 84.86 9
Iteration 10
Training file ./10cv_FS/10cv_new_PLGA_FS_to_7_in_no10.txt
Test file ./10cv_FS/t-10cv_new_PLGA_FS_to_7_in_no10.txt
RMSE = 11.68831600815921
R2 = 0.8580811498227279
predict Q_perc Fold_no
668 5.307684638237028 0.0 10
669 31.51432736281064 45.185 10
670 60.63567426863816 68.889 10
671 70.07100138131287 78.519 10
672 84.62772261786964 95.556 10
673 85.52763126481082 96.667 10
674 88.69591309839385 97.385 10
675 91.93811184877056 98.769 10
676 92.4314513761689 99.231 10
677 92.61626744979516 99.692 10
678 92.8606075119366 99.692 10
679 92.9055353772034 99.692 10
680 93.53474369609252 99.692 10
681 93.53474369609252 99.692 10
682 93.81347279214756 99.692 10
683 93.759172976124 100.0 10
684 93.51044782820614 100.0 10
685 93.54511868033084 100.0 10
686 17.103778897426004 28.511 10
687 43.342086887559766 45.106 10
688 51.19638611247289 78.298 10
689 66.46396716182576 89.787 10
690 69.35027874690937 85.957 10
691 -0.2050702803629391 0.0 10
692 21.45912913895669 17.407 10
693 31.00331139575216 21.481 10
694 34.91486149291965 27.778 10
695 39.5395645062578 34.074 10
696 46.72409146010401 43.704 10
697 49.1688098955107 55.556 10
698 58.21933522179248 58.889 10
699 69.43004363320293 71.481 10
700 74.28305471978607 77.037 10
701 84.39505347713353 84.815 10
702 87.24672892421009 90.0 10
703 12.041647618801711 10.135 10
704 16.39945589854839 12.735 10
705 18.235326108629728 13.985 10
706 20.2543240574793 14.782 10
707 22.661248864014546 17.835 10
708 0.5002141661149508 0.0 10
709 26.01487018772392 21.639 10
710 24.3174486332479 25.902 10
711 27.734391322815704 29.18 10
712 38.21692029152988 35.082 10
713 38.10132220898746 41.639 10
714 41.178020229088055 49.18 10
715 42.52643295609384 50.164 10
716 44.72071058535008 51.475 10
717 1.5989206737046189 0.0 10
718 54.04603015316176 56.667 10
719 59.36831044928628 57.407 10
720 63.54499651642042 57.407 10
721 65.81049131286787 57.778 10
722 70.53273204771327 60.37 10
723 70.13157144991206 62.963 10
724 71.58797183690118 65.556 10
725 74.04680316207455 67.778 10
726 75.9189116420363 68.148 10
727 79.91051510266485 69.63 10
728 87.2320515672815 74.074 10
729 89.34664023957671 77.037 10
730 -2.7300358762243704 0.0 10
731 16.76773467536774 14.76 10
732 47.52849053183096 37.333 10
733 55.31495944840359 41.058 10
734 53.06066766950759 50.555 10
735 53.42686758946153 46.96 10
736 56.240974787729705 55.606 10
737 73.22888399112495 90.489 10
738 74.46582570682736 87.729 10
739 14.555646726561156 16.055 10
740 13.718780466986267 34.862 10
741 21.22362463332471 38.532 10
742 24.341890858418687 56.881 10
743 29.92750833566757 66.055 10
744 34.20914062868329 82.569 10
Average RMSE = 15.39530307910406
----------------------
Average R2 = 0.702879433519018
----------------------
----------------------
Overall data
----------------------
Overall RMSE = 15.795020921359393
Overall R2 = 0.7355467381082044
------------------------
predict Q_perc Fold_no
0 13.751085245524637 2.294 1
1 22.24860838382422 5.046 1
2 30.58917927920386 10.55 1
3 32.115927245389074 11.009 1
4 39.77725140742525 12.844 1
5 39.8529415396127 17.431 1
6 2.412079915412804 0.0 1
7 45.31524582021787 63.404 1
8 48.881282385447165 78.723 1
9 44.950854068164816 75.745 1
10 29.85175661557271 53.91 1
11 32.13435409963979 58.27 1
12 41.018132397447815 63.875 1
13 39.68680312392219 66.367 1
14 41.67880048370837 68.235 1
15 42.67520136992364 69.481 1
16 46.378420396250775 70.415 1
17 47.47486722703009 71.349 1
18 52.27946624393492 72.595 1
19 53.17181685800581 73.529 1
20 59.28004034283488 74.464 1
21 59.93701823475688 76.021 1
22 63.755060185221126 77.578 1
23 68.52612696262925 78.201 1
24 68.74425820681184 79.135 1
25 69.5422969018194 80.069 1
26 74.04383349466055 81.003 1
27 74.18293391867458 81.315 1
28 74.21117192461072 81.315 1
29 75.87615439250051 81.938 1
30 76.97595924838363 81.938 1
31 77.29517889722167 82.249 1
32 77.29517889722167 82.561 1
33 78.5625389064747 82.872 1
34 79.69674850209533 82.872 1
35 79.69674850209533 83.183 1
36 79.69674850209533 83.183 1
37 81.18459377019583 82.872 1
38 82.10701285443186 83.183 1
39 41.57425082382663 13.187 1
40 57.27372078877791 17.582 1
41 57.65464705509051 29.121 1
42 67.68311837223276 32.418 1
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