Optimization started at 2023-03-22 15:46:44.862292
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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: 0.048473112285137177, Current params: {'in_len': 60}
Best value: 0.048473112285137177, Best params: {'in_len': 60}
Current value: 0.04600745439529419, Current params: {'in_len': 192}
Best value: 0.04600745439529419, Best params: {'in_len': 192}
Current value: 0.04629562050104141, Current params: {'in_len': 156}
Best value: 0.04600745439529419, Best params: {'in_len': 192}
Current value: 0.048263076692819595, Current params: {'in_len': 72}
Best value: 0.04600745439529419, Best params: {'in_len': 192}
Current value: 0.04479103907942772, Current params: {'in_len': 180}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.048473112285137177, Current params: {'in_len': 60}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.048473112285137177, Current params: {'in_len': 60}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04610506445169449, Current params: {'in_len': 96}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04741733521223068, Current params: {'in_len': 12}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.048473112285137177, Current params: {'in_len': 60}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04629301279783249, Current params: {'in_len': 144}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04600745439529419, Current params: {'in_len': 192}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04600745439529419, Current params: {'in_len': 192}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04629562050104141, Current params: {'in_len': 156}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.047062747180461884, Current params: {'in_len': 132}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04479103907942772, Current params: {'in_len': 180}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04722925275564194, Current params: {'in_len': 120}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.046850383281707764, Current params: {'in_len': 168}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.046850383281707764, Current params: {'in_len': 168}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.047060415148735046, Current params: {'in_len': 108}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04741733521223068, Current params: {'in_len': 12}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04600745439529419, Current params: {'in_len': 192}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04479103907942772, Current params: {'in_len': 180}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.046850383281707764, Current params: {'in_len': 168}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04479103907942772, Current params: {'in_len': 180}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.047062747180461884, Current params: {'in_len': 132}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04629301279783249, Current params: {'in_len': 144}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04479103907942772, Current params: {'in_len': 180}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04629562050104141, Current params: {'in_len': 156}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04681125283241272, Current params: {'in_len': 84}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04479103907942772, Current params: {'in_len': 180}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04479103907942772, Current params: {'in_len': 180}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04479103907942772, Current params: {'in_len': 180}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.046850383281707764, Current params: {'in_len': 168}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.047780394554138184, Current params: {'in_len': 36}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04629562050104141, Current params: {'in_len': 156}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04629301279783249, Current params: {'in_len': 144}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04600745439529419, Current params: {'in_len': 192}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04479103907942772, Current params: {'in_len': 180}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.047062747180461884, Current params: {'in_len': 132}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.046850383281707764, Current params: {'in_len': 168}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04479103907942772, Current params: {'in_len': 180}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04479103907942772, Current params: {'in_len': 180}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04600745439529419, Current params: {'in_len': 192}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04629562050104141, Current params: {'in_len': 156}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04600745439529419, Current params: {'in_len': 192}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04629301279783249, Current params: {'in_len': 144}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.046850383281707764, Current params: {'in_len': 168}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04479103907942772, Current params: {'in_len': 180}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
Current value: 0.04629562050104141, Current params: {'in_len': 156}
Best value: 0.04479103907942772, Best params: {'in_len': 180}
--------------------------------
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): [365.9736022949219, 13.208236694335938]
	Seed: 10 OOD mean of (MSE, MAE) stats: [369.2615966796875, 12.052111625671387]
	Seed: 10 ID median of (MSE, MAE): [148.82809448242188, 9.906116485595703]
	Seed: 10 OOD median of (MSE, MAE) stats: [104.5831298828125, 8.332626342773438]
	Seed: 10 ID likelihoods: -9.870219136166163
	Seed: 10 OOD likelihoods: -9.874691031393274
	Seed: 10 ID calibration errors: [0.48802944214876026, 0.31109891528925615, 0.18811337809917347, 0.0983212809917355, 0.05145273760330576, 0.0243543388429752, 0.020919421487603274, 0.02613636363636361, 0.03822959710743797, 0.06567019628099173, 0.06153796487603301, 0.06842071280991734]
	Seed: 10 OOD calibration errors: [0.5698042223683248, 0.39735919351303967, 0.25749506903353053, 0.16429615019358604, 0.09488275257506026, 0.06342683906786468, 0.05682299656658629, 0.042709474760756774, 0.04389290671341949, 0.04834903937468036, 0.05848856746292639, 0.07502739425816345]
	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): [365.9736022949219, 13.208236694335938]
	Seed: 11 OOD mean of (MSE, MAE) stats: [369.2615966796875, 12.052111625671387]
	Seed: 11 ID median of (MSE, MAE): [148.82809448242188, 9.906116485595703]
	Seed: 11 OOD median of (MSE, MAE) stats: [104.5831298828125, 8.332626342773438]
	Seed: 11 ID likelihoods: -9.870219136166163
	Seed: 11 OOD likelihoods: -9.874691031393274
	Seed: 11 ID calibration errors: [0.48802944214876026, 0.31109891528925615, 0.18811337809917347, 0.0983212809917355, 0.05145273760330576, 0.0243543388429752, 0.020919421487603274, 0.02613636363636361, 0.03822959710743797, 0.06567019628099173, 0.06153796487603301, 0.06842071280991734]
	Seed: 11 OOD calibration errors: [0.5698042223683248, 0.39735919351303967, 0.25749506903353053, 0.16429615019358604, 0.09488275257506026, 0.06342683906786468, 0.05682299656658629, 0.042709474760756774, 0.04389290671341949, 0.04834903937468036, 0.05848856746292639, 0.07502739425816345]
	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): [387.9977111816406, 13.09803581237793]
	Seed: 12 OOD mean of (MSE, MAE) stats: [385.2068786621094, 12.299236297607422]
	Seed: 12 ID median of (MSE, MAE): [150.4349822998047, 10.238353729248047]
	Seed: 12 OOD median of (MSE, MAE) stats: [120.001953125, 9.665438652038574]
	Seed: 12 ID likelihoods: -9.899438332153425
	Seed: 12 OOD likelihoods: -9.895828920611857
	Seed: 12 ID calibration errors: [0.5000432525951556, 0.31596501345636285, 0.20616589773164165, 0.10408977316416755, 0.05798250672818143, 0.02159265667051131, 0.022693194925028824, 0.025331603229527093, 0.031795463283352525, 0.053585159554017645, 0.06328815840061508, 0.06864186851211065]
	Seed: 12 OOD calibration errors: [0.5553568107136213, 0.3665664331328662, 0.2345743691487383, 0.14003968007936013, 0.08788517577035147, 0.055719511439022845, 0.04023498046996089, 0.029620559241118435, 0.027072354144708242, 0.030736561473122908, 0.05362390724781447, 0.07910595821191636]
	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): [378.1912841796875, 12.720942497253418]
	Seed: 13 OOD mean of (MSE, MAE) stats: [369.2724304199219, 12.907899856567383]
	Seed: 13 ID median of (MSE, MAE): [124.82614135742188, 9.516590118408203]
	Seed: 13 OOD median of (MSE, MAE) stats: [132.56082153320312, 9.450480461120605]
	Seed: 13 ID likelihoods: -9.886638628764677
	Seed: 13 OOD likelihoods: -9.874705576684336
	Seed: 13 ID calibration errors: [0.520218185313341, 0.34702518262206833, 0.2095684352172241, 0.11637831603229525, 0.05386389850057669, 0.03587081891580159, 0.024966359092656654, 0.01783929257977701, 0.017916186082276037, 0.021587850826605134, 0.029613610149942307, 0.029325259515570898]
	Seed: 13 OOD calibration errors: [0.49553873723019065, 0.30587649914439524, 0.1844188130228185, 0.12225270084679168, 0.08914042934467288, 0.08037286741431103, 0.08907139342396139, 0.10103076505019798, 0.1166358208297531, 0.14242440933894446, 0.17329081014387387, 0.19956999434492995]
	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): [378.1912841796875, 12.720942497253418]
	Seed: 14 OOD mean of (MSE, MAE) stats: [369.2724304199219, 12.907899856567383]
	Seed: 14 ID median of (MSE, MAE): [124.82614135742188, 9.516590118408203]
	Seed: 14 OOD median of (MSE, MAE) stats: [132.56082153320312, 9.450480461120605]
	Seed: 14 ID likelihoods: -9.886638628764677
	Seed: 14 OOD likelihoods: -9.874705576684336
	Seed: 14 ID calibration errors: [0.520218185313341, 0.34702518262206833, 0.2095684352172241, 0.11637831603229525, 0.05386389850057669, 0.03587081891580159, 0.024966359092656654, 0.01783929257977701, 0.017916186082276037, 0.021587850826605134, 0.029613610149942307, 0.029325259515570898]
	Seed: 14 OOD calibration errors: [0.49553873723019065, 0.30587649914439524, 0.1844188130228185, 0.12225270084679168, 0.08914042934467288, 0.08037286741431103, 0.08907139342396139, 0.10103076505019798, 0.1166358208297531, 0.14242440933894446, 0.17329081014387387, 0.19956999434492995]
	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): [365.9736022949219, 13.208236694335938]
	Seed: 15 OOD mean of (MSE, MAE) stats: [369.2615966796875, 12.052111625671387]
	Seed: 15 ID median of (MSE, MAE): [148.82809448242188, 9.906116485595703]
	Seed: 15 OOD median of (MSE, MAE) stats: [104.5831298828125, 8.332626342773438]
	Seed: 15 ID likelihoods: -9.870219136166163
	Seed: 15 OOD likelihoods: -9.874691031393274
	Seed: 15 ID calibration errors: [0.48802944214876026, 0.31109891528925615, 0.18811337809917347, 0.0983212809917355, 0.05145273760330576, 0.0243543388429752, 0.020919421487603274, 0.02613636363636361, 0.03822959710743797, 0.06567019628099173, 0.06153796487603301, 0.06842071280991734]
	Seed: 15 OOD calibration errors: [0.5698042223683248, 0.39735919351303967, 0.25749506903353053, 0.16429615019358604, 0.09488275257506026, 0.06342683906786468, 0.05682299656658629, 0.042709474760756774, 0.04389290671341949, 0.04834903937468036, 0.05848856746292639, 0.07502739425816345]
	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): [387.9977111816406, 13.09803581237793]
	Seed: 16 OOD mean of (MSE, MAE) stats: [385.2068786621094, 12.299236297607422]
	Seed: 16 ID median of (MSE, MAE): [150.4349822998047, 10.238353729248047]
	Seed: 16 OOD median of (MSE, MAE) stats: [120.001953125, 9.665438652038574]
	Seed: 16 ID likelihoods: -9.899438332153425
	Seed: 16 OOD likelihoods: -9.895828920611857
	Seed: 16 ID calibration errors: [0.5000432525951556, 0.31596501345636285, 0.20616589773164165, 0.10408977316416755, 0.05798250672818143, 0.02159265667051131, 0.022693194925028824, 0.025331603229527093, 0.031795463283352525, 0.053585159554017645, 0.06328815840061508, 0.06864186851211065]
	Seed: 16 OOD calibration errors: [0.5553568107136213, 0.3665664331328662, 0.2345743691487383, 0.14003968007936013, 0.08788517577035147, 0.055719511439022845, 0.04023498046996089, 0.029620559241118435, 0.027072354144708242, 0.030736561473122908, 0.05362390724781447, 0.07910595821191636]
	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): [384.3455810546875, 12.596784591674805]
	Seed: 17 OOD mean of (MSE, MAE) stats: [751.0948486328125, 17.233308792114258]
	Seed: 17 ID median of (MSE, MAE): [121.54051208496094, 9.155540466308594]
	Seed: 17 OOD median of (MSE, MAE) stats: [241.40965270996094, 12.81542682647705]
	Seed: 17 ID likelihoods: -9.89470962217446
	Seed: 17 OOD likelihoods: -10.229704422062031
	Seed: 17 ID calibration errors: [0.5433542060491494, 0.3665406427221171, 0.23894730623818525, 0.121195652173913, 0.06964201323251412, 0.038143903591682383, 0.03446951795841207, 0.037192816635160636, 0.03962665406427219, 0.04658553875236289, 0.05069706994328917, 0.06683601134215496]
	Seed: 17 OOD calibration errors: [0.5452605904172855, 0.41440450970365494, 0.28037962354201673, 0.1639503737794336, 0.0960191069877679, 0.051212652494703755, 0.024113846478518833, 0.009169162587965997, 0.006063668314380563, 0.007006842476927944, 0.009206499947240682, 0.012747055624548507]
	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): [384.3455810546875, 12.596784591674805]
	Seed: 18 OOD mean of (MSE, MAE) stats: [751.0948486328125, 17.233308792114258]
	Seed: 18 ID median of (MSE, MAE): [121.54051208496094, 9.155540466308594]
	Seed: 18 OOD median of (MSE, MAE) stats: [241.40965270996094, 12.81542682647705]
	Seed: 18 ID likelihoods: -9.89470962217446
	Seed: 18 OOD likelihoods: -10.229704422062031
	Seed: 18 ID calibration errors: [0.5433542060491494, 0.3665406427221171, 0.23894730623818525, 0.121195652173913, 0.06964201323251412, 0.038143903591682383, 0.03446951795841207, 0.037192816635160636, 0.03962665406427219, 0.04658553875236289, 0.05069706994328917, 0.06683601134215496]
	Seed: 18 OOD calibration errors: [0.5452605904172855, 0.41440450970365494, 0.28037962354201673, 0.1639503737794336, 0.0960191069877679, 0.051212652494703755, 0.024113846478518833, 0.009169162587965997, 0.006063668314380563, 0.007006842476927944, 0.009206499947240682, 0.012747055624548507]
	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): [378.1912841796875, 12.720942497253418]
	Seed: 19 OOD mean of (MSE, MAE) stats: [369.2724304199219, 12.907899856567383]
	Seed: 19 ID median of (MSE, MAE): [124.82614135742188, 9.516590118408203]
	Seed: 19 OOD median of (MSE, MAE) stats: [132.56082153320312, 9.450480461120605]
	Seed: 19 ID likelihoods: -9.886638628764677
	Seed: 19 OOD likelihoods: -9.874705576684336
	Seed: 19 ID calibration errors: [0.520218185313341, 0.34702518262206833, 0.2095684352172241, 0.11637831603229525, 0.05386389850057669, 0.03587081891580159, 0.024966359092656654, 0.01783929257977701, 0.017916186082276037, 0.021587850826605134, 0.029613610149942307, 0.029325259515570898]
	Seed: 19 OOD calibration errors: [0.49553873723019065, 0.30587649914439524, 0.1844188130228185, 0.12225270084679168, 0.08914042934467288, 0.08037286741431103, 0.08907139342396139, 0.10103076505019798, 0.1166358208297531, 0.14242440933894446, 0.17329081014387387, 0.19956999434492995]
ID mean of (MSE, MAE): [377.7181701660156, 12.917718887329102] +- [8.447835291856917, 0.2530594125495434]
OOD mean of (MSE, MAE): [448.820556640625, 13.394511222839355] +- [151.26317884288227, 1.9490631026263738]
ID median of (MSE, MAE): [136.4913787841797, 9.705591201782227] +- [13.041173043259326, 0.37424308162307307]
OOD median of (MSE, MAE): [143.42550659179688, 9.831106185913086] +- [50.179105536578156, 1.5823458592529709]
ID likelihoods: -9.885886920344829 +- 0.01122984968294145
OOD likelihoods: -9.949925650958061 +- 0.14012856834122164
ID calibration errors: [0.5111537799674913, 0.3339383606090933, 0.20832718478888465, 0.10946696417482535, 0.05711989482330385, 0.030014859380071774, 0.025198276750766156, 0.025697580837779732, 0.031128158426439144, 0.04621155379355517, 0.05014251817657345, 0.05641936766849959] +- [0.0204238043668399, 0.022024112995648357, 0.01764919842137893, 0.009213749101406966, 0.006657699651792701, 0.0068777247768101795, 0.004894383122087004, 0.006711068807312655, 0.009057038044777147, 0.017504046386751966, 0.014142515970866465, 0.0177486927124508]
OOD calibration errors: [0.5397263681057359, 0.3671648963645347, 0.23556496315505568, 0.1467626660838721, 0.09198781112754383, 0.06452634473139804, 0.056638082386860245, 0.05088001630910331, 0.05478582275476953, 0.06478071540409762, 0.08209989472105113, 0.10074981934822098] +- [0.030201901966149487, 0.042974141173100756, 0.03648183763976179, 0.018454582238932697, 0.0034004519314263346, 0.011254301438822657, 0.02410318842411704, 0.034826836938487836, 0.04256289815873216, 0.05281030124389842, 0.0623445997822434, 0.06907032409976498]
