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Lars Bogner
2025-11-27 16:48:10 +01:00
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Code/python/notebooks/hyperparameter_scan_results_mode3.csv
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Model,Warm-up Steps,Prediction Steps,Altitude Weight,Final Loss
LSTM,300,150,1e-05,31.077238131017285
LSTM,300,150,0.0001,31.116428786611305
LSTM,300,150,0.001,7.279862738036095
LSTM,300,300,1e-05,8.926838027035936
LSTM,300,300,0.0001,30.37920155273156
LSTM,300,300,0.001,34.636997747452966
LSTM,300,600,1e-05,29.66690348061
LSTM,300,600,0.0001,29.71412385778224
LSTM,300,600,0.001,33.99637463474844
LSTM,300,900,1e-05,28.30803443229896
LSTM,300,900,0.0001,28.350567001453104
LSTM,300,900,0.001,32.57012601688187
LSTM,300,1800,1e-05,25.02599160531734
LSTM,300,1800,0.0001,24.794156230827596
LSTM,300,1800,0.001,28.21895251565791
LSTM,600,150,1e-05,7.84319583532658
LSTM,600,150,0.0001,31.122973101490988
LSTM,600,150,0.001,5.995160004559984
LSTM,600,300,1e-05,30.34823756807662
LSTM,600,300,0.0001,30.3810508979207
LSTM,600,300,0.001,34.63591069807398
LSTM,600,600,1e-05,29.66688171217337
LSTM,600,600,0.0001,29.7090287455853
LSTM,600,600,0.001,33.992851337735004
LSTM,600,900,1e-05,28.305135080551214
LSTM,600,900,0.0001,28.34509767584027
LSTM,600,900,0.001,32.558963765410034
LSTM,600,1800,1e-05,13.204625746988235
LSTM,600,1800,0.0001,25.058695928847538
LSTM,600,1800,0.001,28.21455670037168
LSTM,900,150,1e-05,7.555547086442721
LSTM,900,150,0.0001,31.118988331288417
LSTM,900,150,0.001,3.9625396947277354
LSTM,900,300,1e-05,30.33715751456057
LSTM,900,300,0.0001,30.377899322440808
LSTM,900,300,0.001,34.63282838142774
LSTM,900,600,1e-05,29.682772607800175
LSTM,900,600,0.0001,29.712955647920992
LSTM,900,600,0.001,11.853082214026376
LSTM,900,900,1e-05,28.302015910757348
LSTM,900,900,0.0001,28.34411592940067
LSTM,900,900,0.001,32.58148638270003
LSTM,900,1800,1e-05,24.73951081551136
LSTM,900,1800,0.0001,25.068324437800875
LSTM,900,1800,0.001,28.21402364144934
LSTM,1800,150,1e-05,31.078925689880517
LSTM,1800,150,0.0001,31.11930439280386
LSTM,1800,150,0.001,6.017518597080352
LSTM,1800,300,1e-05,7.0429253067742
LSTM,1800,300,0.0001,30.382035096195786
LSTM,1800,300,0.001,34.635919848655135
LSTM,1800,600,1e-05,29.66811917876785
LSTM,1800,600,0.0001,29.709523090280275
LSTM,1800,600,0.001,33.99491072731449
LSTM,1800,900,1e-05,13.343850054322406
LSTM,1800,900,0.0001,28.34489465251248
LSTM,1800,900,0.001,12.902912318230943
LSTM,1800,1800,1e-05,24.777817850734326
LSTM,1800,1800,0.0001,25.059222048267404
LSTM,1800,1800,0.001,27.90479517870761
1 Model Warm-up Steps Prediction Steps Altitude Weight Final Loss
2 LSTM 300 150 1e-05 31.077238131017285
3 LSTM 300 150 0.0001 31.116428786611305
4 LSTM 300 150 0.001 7.279862738036095
5 LSTM 300 300 1e-05 8.926838027035936
6 LSTM 300 300 0.0001 30.37920155273156
7 LSTM 300 300 0.001 34.636997747452966
8 LSTM 300 600 1e-05 29.66690348061
9 LSTM 300 600 0.0001 29.71412385778224
10 LSTM 300 600 0.001 33.99637463474844
11 LSTM 300 900 1e-05 28.30803443229896
12 LSTM 300 900 0.0001 28.350567001453104
13 LSTM 300 900 0.001 32.57012601688187
14 LSTM 300 1800 1e-05 25.02599160531734
15 LSTM 300 1800 0.0001 24.794156230827596
16 LSTM 300 1800 0.001 28.21895251565791
17 LSTM 600 150 1e-05 7.84319583532658
18 LSTM 600 150 0.0001 31.122973101490988
19 LSTM 600 150 0.001 5.995160004559984
20 LSTM 600 300 1e-05 30.34823756807662
21 LSTM 600 300 0.0001 30.3810508979207
22 LSTM 600 300 0.001 34.63591069807398
23 LSTM 600 600 1e-05 29.66688171217337
24 LSTM 600 600 0.0001 29.7090287455853
25 LSTM 600 600 0.001 33.992851337735004
26 LSTM 600 900 1e-05 28.305135080551214
27 LSTM 600 900 0.0001 28.34509767584027
28 LSTM 600 900 0.001 32.558963765410034
29 LSTM 600 1800 1e-05 13.204625746988235
30 LSTM 600 1800 0.0001 25.058695928847538
31 LSTM 600 1800 0.001 28.21455670037168
32 LSTM 900 150 1e-05 7.555547086442721
33 LSTM 900 150 0.0001 31.118988331288417
34 LSTM 900 150 0.001 3.9625396947277354
35 LSTM 900 300 1e-05 30.33715751456057
36 LSTM 900 300 0.0001 30.377899322440808
37 LSTM 900 300 0.001 34.63282838142774
38 LSTM 900 600 1e-05 29.682772607800175
39 LSTM 900 600 0.0001 29.712955647920992
40 LSTM 900 600 0.001 11.853082214026376
41 LSTM 900 900 1e-05 28.302015910757348
42 LSTM 900 900 0.0001 28.34411592940067
43 LSTM 900 900 0.001 32.58148638270003
44 LSTM 900 1800 1e-05 24.73951081551136
45 LSTM 900 1800 0.0001 25.068324437800875
46 LSTM 900 1800 0.001 28.21402364144934
47 LSTM 1800 150 1e-05 31.078925689880517
48 LSTM 1800 150 0.0001 31.11930439280386
49 LSTM 1800 150 0.001 6.017518597080352
50 LSTM 1800 300 1e-05 7.0429253067742
51 LSTM 1800 300 0.0001 30.382035096195786
52 LSTM 1800 300 0.001 34.635919848655135
53 LSTM 1800 600 1e-05 29.66811917876785
54 LSTM 1800 600 0.0001 29.709523090280275
55 LSTM 1800 600 0.001 33.99491072731449
56 LSTM 1800 900 1e-05 13.343850054322406
57 LSTM 1800 900 0.0001 28.34489465251248
58 LSTM 1800 900 0.001 12.902912318230943
59 LSTM 1800 1800 1e-05 24.777817850734326
60 LSTM 1800 1800 0.0001 25.059222048267404
61 LSTM 1800 1800 0.001 27.90479517870761