Optimization started at 2023-03-22 15:46:45.071417
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Loading column definition...
Checking column definition...
Loading data...
Dropping columns / rows...
Checking for NA values...
Setting data types...
Dropping columns / rows...
Encoding data...
	Updated column definition:
		id: REAL_VALUED (ID)
		time: DATE (TIME)
		gl: REAL_VALUED (TARGET)
		time_year: REAL_VALUED (KNOWN_INPUT)
		time_month: REAL_VALUED (KNOWN_INPUT)
		time_day: REAL_VALUED (KNOWN_INPUT)
		time_hour: REAL_VALUED (KNOWN_INPUT)
		time_minute: REAL_VALUED (KNOWN_INPUT)
		time_second: REAL_VALUED (KNOWN_INPUT)
Interpolating data...
	Dropped segments: 17
	Extracted segments: 15
	Interpolated values: 561
	Percent of values interpolated: 4.37%
Splitting data...
	Train: 9056 (64.79%)
	Val: 1774 (12.69%)
	Test: 1848 (13.22%)
	Test OOD: 1300 (9.30%)
Scaling data...
	No scaling applied
Data formatting complete.
--------------------------------
Current value: 0.045423801988363266, Current params: {'in_len': 156}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.048768509179353714, Current params: {'in_len': 24}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.047180719673633575, Current params: {'in_len': 84}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04590003192424774, Current params: {'in_len': 144}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.045423801988363266, Current params: {'in_len': 156}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04620303213596344, Current params: {'in_len': 168}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.045423801988363266, Current params: {'in_len': 156}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.046720441430807114, Current params: {'in_len': 120}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04590003192424774, Current params: {'in_len': 144}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04857855290174484, Current params: {'in_len': 48}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.057656046003103256, Current params: {'in_len': 192}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04574338719248772, Current params: {'in_len': 96}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.057656046003103256, Current params: {'in_len': 192}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.046720441430807114, Current params: {'in_len': 120}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04758147522807121, Current params: {'in_len': 72}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04620303213596344, Current params: {'in_len': 168}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.046720441430807114, Current params: {'in_len': 120}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04684803634881973, Current params: {'in_len': 132}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.046013180166482925, Current params: {'in_len': 180}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.045423801988363266, Current params: {'in_len': 156}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04832761362195015, Current params: {'in_len': 60}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.045423801988363266, Current params: {'in_len': 156}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04620303213596344, Current params: {'in_len': 168}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04590003192424774, Current params: {'in_len': 144}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04685792699456215, Current params: {'in_len': 108}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04684803634881973, Current params: {'in_len': 132}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.046013180166482925, Current params: {'in_len': 180}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.045423801988363266, Current params: {'in_len': 156}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04574338719248772, Current params: {'in_len': 96}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.046013180166482925, Current params: {'in_len': 180}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04832965135574341, Current params: {'in_len': 12}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.045423801988363266, Current params: {'in_len': 156}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04684803634881973, Current params: {'in_len': 132}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.045423801988363266, Current params: {'in_len': 156}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04590003192424774, Current params: {'in_len': 144}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04620303213596344, Current params: {'in_len': 168}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.045423801988363266, Current params: {'in_len': 156}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04685792699456215, Current params: {'in_len': 108}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04684803634881973, Current params: {'in_len': 132}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.046013180166482925, Current params: {'in_len': 180}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04590003192424774, Current params: {'in_len': 144}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.045423801988363266, Current params: {'in_len': 156}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04620303213596344, Current params: {'in_len': 168}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.057656046003103256, Current params: {'in_len': 192}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.045423801988363266, Current params: {'in_len': 156}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04590003192424774, Current params: {'in_len': 144}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.046720441430807114, Current params: {'in_len': 120}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04817086458206177, Current params: {'in_len': 36}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.057656046003103256, Current params: {'in_len': 192}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
Current value: 0.04620303213596344, Current params: {'in_len': 168}
Best value: 0.045423801988363266, Best params: {'in_len': 156}
--------------------------------
Loading column definition...
Checking column definition...
Loading data...
Dropping columns / rows...
Checking for NA values...
Setting data types...
Dropping columns / rows...
Encoding data...
	Updated column definition:
		id: REAL_VALUED (ID)
		time: DATE (TIME)
		gl: REAL_VALUED (TARGET)
		time_year: REAL_VALUED (KNOWN_INPUT)
		time_month: REAL_VALUED (KNOWN_INPUT)
		time_day: REAL_VALUED (KNOWN_INPUT)
		time_hour: REAL_VALUED (KNOWN_INPUT)
		time_minute: REAL_VALUED (KNOWN_INPUT)
		time_second: REAL_VALUED (KNOWN_INPUT)
Interpolating data...
	Dropped segments: 17
	Extracted segments: 15
	Interpolated values: 561
	Percent of values interpolated: 4.37%
Splitting data...
	Train: 9056 (64.79%)
	Val: 1774 (12.69%)
	Test: 1848 (13.22%)
	Test OOD: 1300 (9.30%)
Scaling data...
	No scaling applied
Data formatting complete.
--------------------------------
	Train: 9056 (64.79%)
	Val: 1774 (12.69%)
	Test: 1848 (13.22%)
	Test OOD: 1300 (9.30%)
	No scaling applied
	Seed: 10 ID mean of (MSE, MAE): [331.30682373046875, 11.796101570129395]
	Seed: 10 OOD mean of (MSE, MAE) stats: [383.1293640136719, 12.568258285522461]
	Seed: 10 ID median of (MSE, MAE): [94.31787109375, 8.344446182250977]
	Seed: 10 OOD median of (MSE, MAE) stats: [105.89330291748047, 9.15075969696045]
	Seed: 10 ID likelihoods: -9.820460940111213
	Seed: 10 OOD likelihoods: -9.893124762324286
	Seed: 10 ID calibration errors: [0.4832270408163265, 0.3094883786848073, 0.20592403628117914, 0.11898384353741494, 0.0774234693877551, 0.05213293650793653, 0.05048894557823131, 0.04513888888888892, 0.043558673469387806, 0.037138605442176904, 0.044600340136054475, 0.06322278911564629]
	Seed: 10 OOD calibration errors: [0.5825541757974191, 0.39625436247057866, 0.2583272461650839, 0.1795349403457511, 0.11799772745718684, 0.08270838405973535, 0.08629575521467404, 0.1104009414820225, 0.12158509861212555, 0.12690934177420657, 0.16304277250223187, 0.18766739712685648]
	Train: 9056 (64.79%)
	Val: 1774 (12.69%)
	Test: 1848 (13.22%)
	Test OOD: 1300 (9.30%)
	No scaling applied
	Seed: 11 ID mean of (MSE, MAE): [331.30682373046875, 11.796101570129395]
	Seed: 11 OOD mean of (MSE, MAE) stats: [383.1293640136719, 12.568258285522461]
	Seed: 11 ID median of (MSE, MAE): [94.31787109375, 8.344446182250977]
	Seed: 11 OOD median of (MSE, MAE) stats: [105.89330291748047, 9.15075969696045]
	Seed: 11 ID likelihoods: -9.820460940111213
	Seed: 11 OOD likelihoods: -9.893124762324286
	Seed: 11 ID calibration errors: [0.4832270408163265, 0.3094883786848073, 0.20592403628117914, 0.11898384353741494, 0.0774234693877551, 0.05213293650793653, 0.05048894557823131, 0.04513888888888892, 0.043558673469387806, 0.037138605442176904, 0.044600340136054475, 0.06322278911564629]
	Seed: 11 OOD calibration errors: [0.5825541757974191, 0.39625436247057866, 0.2583272461650839, 0.1795349403457511, 0.11799772745718684, 0.08270838405973535, 0.08629575521467404, 0.1104009414820225, 0.12158509861212555, 0.12690934177420657, 0.16304277250223187, 0.18766739712685648]
	Train: 8110 (59.66%)
	Val: 1342 (9.87%)
	Test: 2017 (14.84%)
	Test OOD: 2125 (15.63%)
	No scaling applied
	Seed: 12 ID mean of (MSE, MAE): [397.1401062011719, 12.385969161987305]
	Seed: 12 OOD mean of (MSE, MAE) stats: [2156.614501953125, 36.333984375]
	Seed: 12 ID median of (MSE, MAE): [107.02194213867188, 8.678533554077148]
	Seed: 12 OOD median of (MSE, MAE) stats: [1751.477294921875, 34.68667984008789]
	Seed: 12 ID likelihoods: -9.911083405964897
	Seed: 12 OOD likelihoods: -10.757085932040587
	Seed: 12 ID calibration errors: [0.5172167846730529, 0.3552998750520616, 0.23305914202415656, 0.14365889212827987, 0.09157122032486464, 0.06707621824239901, 0.06065181174510624, 0.0549458558933778, 0.0555601832569763, 0.05522698875468557, 0.06659725114535615, 0.06445751770095796]
	Seed: 12 OOD calibration errors: [0.7529428980228927, 0.6580775234131113, 0.5935874089490115, 0.6457140998959419, 0.7217221644120708, 0.8665029916753383, 1.1275234131113425, 1.3209677419354842, 1.5993171175858483, 1.8894640998959422, 2.0570857180020816, 2.3103245317377734]
	Train: 7661 (55.57%)
	Val: 1296 (9.40%)
	Test: 2017 (14.63%)
	Test OOD: 2812 (20.40%)
	No scaling applied
	Seed: 13 ID mean of (MSE, MAE): [373.6180114746094, 12.157288551330566]
	Seed: 13 OOD mean of (MSE, MAE) stats: [742.4265747070312, 19.399656295776367]
	Seed: 13 ID median of (MSE, MAE): [105.60806274414062, 8.576146125793457]
	Seed: 13 OOD median of (MSE, MAE) stats: [423.0550231933594, 16.66473960876465]
	Seed: 13 ID likelihoods: -9.880555409412306
	Seed: 13 OOD likelihoods: -10.223900644771962
	Seed: 13 ID calibration errors: [0.5204029571012078, 0.3660141607663473, 0.23632861307788422, 0.14168575593502705, 0.07113182007496878, 0.04076426488962932, 0.0265097875885048, 0.021412952936276573, 0.02173573511037071, 0.016529571012078335, 0.01975739275301961, 0.024344023323615176]
	Seed: 13 OOD calibration errors: [0.571046680175155, 0.43422846041178126, 0.34246484377964465, 0.3300309632766432, 0.3825197884176097, 0.45573124179435226, 0.5859272666560421, 0.7085706805090729, 0.8509228270685825, 1.0014089049776504, 1.1740322078789398, 1.2993257139387868]
	Train: 7661 (55.57%)
	Val: 1296 (9.40%)
	Test: 2017 (14.63%)
	Test OOD: 2812 (20.40%)
	No scaling applied
	Seed: 14 ID mean of (MSE, MAE): [373.6180114746094, 12.157288551330566]
	Seed: 14 OOD mean of (MSE, MAE) stats: [742.4265747070312, 19.399656295776367]
	Seed: 14 ID median of (MSE, MAE): [105.60806274414062, 8.576146125793457]
	Seed: 14 OOD median of (MSE, MAE) stats: [423.0550231933594, 16.66473960876465]
	Seed: 14 ID likelihoods: -9.880555409412306
	Seed: 14 OOD likelihoods: -10.223900644771962
	Seed: 14 ID calibration errors: [0.5204029571012078, 0.3660141607663473, 0.23632861307788422, 0.14168575593502705, 0.07113182007496878, 0.04076426488962932, 0.0265097875885048, 0.021412952936276573, 0.02173573511037071, 0.016529571012078335, 0.01975739275301961, 0.024344023323615176]
	Seed: 14 OOD calibration errors: [0.571046680175155, 0.43422846041178126, 0.34246484377964465, 0.3300309632766432, 0.3825197884176097, 0.45573124179435226, 0.5859272666560421, 0.7085706805090729, 0.8509228270685825, 1.0014089049776504, 1.1740322078789398, 1.2993257139387868]
	Train: 9056 (64.79%)
	Val: 1774 (12.69%)
	Test: 1848 (13.22%)
	Test OOD: 1300 (9.30%)
	No scaling applied
	Seed: 15 ID mean of (MSE, MAE): [331.30682373046875, 11.796101570129395]
	Seed: 15 OOD mean of (MSE, MAE) stats: [383.1293640136719, 12.568258285522461]
	Seed: 15 ID median of (MSE, MAE): [94.31787109375, 8.344446182250977]
	Seed: 15 OOD median of (MSE, MAE) stats: [105.89330291748047, 9.15075969696045]
	Seed: 15 ID likelihoods: -9.820460940111213
	Seed: 15 OOD likelihoods: -9.893124762324286
	Seed: 15 ID calibration errors: [0.4832270408163265, 0.3094883786848073, 0.20592403628117914, 0.11898384353741494, 0.0774234693877551, 0.05213293650793653, 0.05048894557823131, 0.04513888888888892, 0.043558673469387806, 0.037138605442176904, 0.044600340136054475, 0.06322278911564629]
	Seed: 15 OOD calibration errors: [0.5825541757974191, 0.39625436247057866, 0.2583272461650839, 0.1795349403457511, 0.11799772745718684, 0.08270838405973535, 0.08629575521467404, 0.1104009414820225, 0.12158509861212555, 0.12690934177420657, 0.16304277250223187, 0.18766739712685648]
	Train: 8110 (59.66%)
	Val: 1342 (9.87%)
	Test: 2017 (14.84%)
	Test OOD: 2125 (15.63%)
	No scaling applied
	Seed: 16 ID mean of (MSE, MAE): [397.1401062011719, 12.385969161987305]
	Seed: 16 OOD mean of (MSE, MAE) stats: [2156.614501953125, 36.333984375]
	Seed: 16 ID median of (MSE, MAE): [107.02194213867188, 8.678533554077148]
	Seed: 16 OOD median of (MSE, MAE) stats: [1751.477294921875, 34.68667984008789]
	Seed: 16 ID likelihoods: -9.911083405964897
	Seed: 16 OOD likelihoods: -10.757085932040587
	Seed: 16 ID calibration errors: [0.5172167846730529, 0.3552998750520616, 0.23305914202415656, 0.14365889212827987, 0.09157122032486464, 0.06707621824239901, 0.06065181174510624, 0.0549458558933778, 0.0555601832569763, 0.05522698875468557, 0.06659725114535615, 0.06445751770095796]
	Seed: 16 OOD calibration errors: [0.7529428980228927, 0.6580775234131113, 0.5935874089490115, 0.6457140998959419, 0.7217221644120708, 0.8665029916753383, 1.1275234131113425, 1.3209677419354842, 1.5993171175858483, 1.8894640998959422, 2.0570857180020816, 2.3103245317377734]
	Train: 7643 (55.44%)
	Val: 1342 (9.73%)
	Test: 1897 (13.76%)
	Test OOD: 2904 (21.06%)
	No scaling applied
	Seed: 17 ID mean of (MSE, MAE): [381.4718017578125, 12.200098037719727]
	Seed: 17 OOD mean of (MSE, MAE) stats: [782.5963134765625, 16.62898826599121]
	Seed: 17 ID median of (MSE, MAE): [88.28501892089844, 7.993372917175293]
	Seed: 17 OOD median of (MSE, MAE) stats: [169.478759765625, 10.566258430480957]
	Seed: 17 ID likelihoods: -9.890957080133507
	Seed: 17 OOD likelihoods: -10.250247149768136
	Seed: 17 ID calibration errors: [0.5410382231404958, 0.3752066115702479, 0.2418904958677686, 0.13951446280991733, 0.07165547520661157, 0.040198863636363644, 0.0340779958677686, 0.03212809917355373, 0.021035640495867786, 0.014753357438016536, 0.016354597107438015, 0.01843362603305786]
	Seed: 17 OOD calibration errors: [0.5548355702130915, 0.4290546455983476, 0.30102635806509187, 0.22638568963612102, 0.17394665488019448, 0.14046400734387884, 0.13020637659478618, 0.12782471589218786, 0.1264273389489074, 0.14903866586201334, 0.17224158301388034, 0.20541313568326136]
	Train: 7643 (55.44%)
	Val: 1342 (9.73%)
	Test: 1897 (13.76%)
	Test OOD: 2904 (21.06%)
	No scaling applied
	Seed: 18 ID mean of (MSE, MAE): [381.4718017578125, 12.200098037719727]
	Seed: 18 OOD mean of (MSE, MAE) stats: [782.5963134765625, 16.62898826599121]
	Seed: 18 ID median of (MSE, MAE): [88.28501892089844, 7.993372917175293]
	Seed: 18 OOD median of (MSE, MAE) stats: [169.478759765625, 10.566258430480957]
	Seed: 18 ID likelihoods: -9.890957080133507
	Seed: 18 OOD likelihoods: -10.250247149768136
	Seed: 18 ID calibration errors: [0.5410382231404958, 0.3752066115702479, 0.2418904958677686, 0.13951446280991733, 0.07165547520661157, 0.040198863636363644, 0.0340779958677686, 0.03212809917355373, 0.021035640495867786, 0.014753357438016536, 0.016354597107438015, 0.01843362603305786]
	Seed: 18 OOD calibration errors: [0.5548355702130915, 0.4290546455983476, 0.30102635806509187, 0.22638568963612102, 0.17394665488019448, 0.14046400734387884, 0.13020637659478618, 0.12782471589218786, 0.1264273389489074, 0.14903866586201334, 0.17224158301388034, 0.20541313568326136]
	Train: 7661 (55.57%)
	Val: 1296 (9.40%)
	Test: 2017 (14.63%)
	Test OOD: 2812 (20.40%)
	No scaling applied
	Seed: 19 ID mean of (MSE, MAE): [373.6180114746094, 12.157288551330566]
	Seed: 19 OOD mean of (MSE, MAE) stats: [742.4265747070312, 19.399656295776367]
	Seed: 19 ID median of (MSE, MAE): [105.60806274414062, 8.576146125793457]
	Seed: 19 OOD median of (MSE, MAE) stats: [423.0550231933594, 16.66473960876465]
	Seed: 19 ID likelihoods: -9.880555409412306
	Seed: 19 OOD likelihoods: -10.223900644771962
	Seed: 19 ID calibration errors: [0.5204029571012078, 0.3660141607663473, 0.23632861307788422, 0.14168575593502705, 0.07113182007496878, 0.04076426488962932, 0.0265097875885048, 0.021412952936276573, 0.02173573511037071, 0.016529571012078335, 0.01975739275301961, 0.024344023323615176]
	Seed: 19 OOD calibration errors: [0.571046680175155, 0.43422846041178126, 0.34246484377964465, 0.3300309632766432, 0.3825197884176097, 0.45573124179435226, 0.5859272666560421, 0.7085706805090729, 0.8509228270685825, 1.0014089049776504, 1.1740322078789398, 1.2993257139387868]
ID mean of (MSE, MAE): [367.1998291015625, 12.103230476379395] +- [24.87714109626215, 0.21688713634604212]
OOD mean of (MSE, MAE): [925.5089721679688, 20.182968139648438] +- [636.8024903978175, 8.50155484353136]
ID median of (MSE, MAE): [99.03916931152344, 8.410558700561523] +- [7.4503414595485555, 0.2422971690649107]
OOD median of (MSE, MAE): [542.8756103515625, 16.795236587524414] +- [617.7554540673311, 9.450782984794095]
ID likelihoods: -9.870713002076737 +- 0.03456242548601301
OOD likelihoods: -10.236574238490618 +- 0.2994316668657709
ID calibration errors: [0.51274000093797, 0.3487520591598083, 0.22766572238610405, 0.13483555082937207, 0.07721192594511239, 0.04932417679502229, 0.04204558147259581, 0.03738034356093596, 0.034907487324496375, 0.03009652217481699, 0.03589768951728106, 0.042848272478581605] +- [0.021049629644658167, 0.02646560927192768, 0.014512429436390186, 0.010459889770813503, 0.007649603086751507, 0.010199491656180098, 0.013256327989815835, 0.01271897934628008, 0.014081683854370789, 0.015604055277762496, 0.019124662121156256, 0.02097296682691971]
OOD calibration errors: [0.6076359504389691, 0.46657128066699977, 0.35916038038623926, 0.32728972899313086, 0.329289018620892, 0.36292528756006975, 0.45321286450244064, 0.535449978162863, 0.6369012690111636, 0.7461960271771483, 0.8469879543175439, 0.9492454668038999] +- [0.07328546151122509, 0.09702363570559737, 0.12165910497876599, 0.1699024385015444, 0.2233165066672291, 0.294544126575428, 0.3968349338544413, 0.4688608969384863, 0.5751281375559745, 0.6836129340262462, 0.7458857414558407, 0.8318243518065798]
