Optimization started at 2023-03-22 15:46:45.028231
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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)
		Age: REAL_VALUED (STATIC_INPUT)
		BMI: REAL_VALUED (STATIC_INPUT)
		A1C: REAL_VALUED (STATIC_INPUT)
		FBG: REAL_VALUED (STATIC_INPUT)
		ogtt.2hr: REAL_VALUED (STATIC_INPUT)
		insulin: REAL_VALUED (STATIC_INPUT)
		hs.CRP: REAL_VALUED (STATIC_INPUT)
		Tchol: REAL_VALUED (STATIC_INPUT)
		Trg: REAL_VALUED (STATIC_INPUT)
		HDL: REAL_VALUED (STATIC_INPUT)
		LDL: REAL_VALUED (STATIC_INPUT)
		mean_glucose: REAL_VALUED (STATIC_INPUT)
		sd_glucose: REAL_VALUED (STATIC_INPUT)
		range_glucose: REAL_VALUED (STATIC_INPUT)
		min_glucose: REAL_VALUED (STATIC_INPUT)
		max_glucose: REAL_VALUED (STATIC_INPUT)
		quartile.25_glucose: REAL_VALUED (STATIC_INPUT)
		median_glucose: REAL_VALUED (STATIC_INPUT)
		quartile.75_glucose: REAL_VALUED (STATIC_INPUT)
		mean_slope: REAL_VALUED (STATIC_INPUT)
		max_slope: REAL_VALUED (STATIC_INPUT)
		number_Random140: REAL_VALUED (STATIC_INPUT)
		number_Random200: REAL_VALUED (STATIC_INPUT)
		percent_below.80: REAL_VALUED (STATIC_INPUT)
		se_glucose_mean: REAL_VALUED (STATIC_INPUT)
		numGE: REAL_VALUED (STATIC_INPUT)
		mage: REAL_VALUED (STATIC_INPUT)
		j_index: REAL_VALUED (STATIC_INPUT)
		IQR: REAL_VALUED (STATIC_INPUT)
		modd: REAL_VALUED (STATIC_INPUT)
		distance_traveled: REAL_VALUED (STATIC_INPUT)
		coef_variation: REAL_VALUED (STATIC_INPUT)
		number_Random140_normByDays: REAL_VALUED (STATIC_INPUT)
		number_Random200_normByDays: REAL_VALUED (STATIC_INPUT)
		numGE_normByDays: REAL_VALUED (STATIC_INPUT)
		distance_traveled_normByDays: REAL_VALUED (STATIC_INPUT)
		diagnosis: REAL_VALUED (STATIC_INPUT)
		freq_low: REAL_VALUED (STATIC_INPUT)
		freq_moderate: REAL_VALUED (STATIC_INPUT)
		freq_severe: REAL_VALUED (STATIC_INPUT)
		glucotype: REAL_VALUED (STATIC_INPUT)
		Height: REAL_VALUED (STATIC_INPUT)
		Weight: REAL_VALUED (STATIC_INPUT)
		Insulin_rate_dd: REAL_VALUED (STATIC_INPUT)
		perc_cgm_prediabetic_range: REAL_VALUED (STATIC_INPUT)
		perc_cgm_diabetic_range: REAL_VALUED (STATIC_INPUT)
		SSPG: REAL_VALUED (STATIC_INPUT)
		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)
Interpolating data...
	Dropped segments: 160
	Extracted segments: 152
	Interpolated values: 8003
	Percent of values interpolated: 8.57%
Splitting data...
	Train: 62461 (61.57%)
	Val: 12357 (12.18%)
	Test: 16517 (16.28%)
	Test OOD: 10113 (9.97%)
Scaling data...
	No scaling applied
Data formatting complete.
--------------------------------
Current value: 0.03921762853860855, Current params: {'in_len': 96}
Best value: 0.03921762853860855, Best params: {'in_len': 96}
Current value: 0.039437185972929, Current params: {'in_len': 144}
Best value: 0.03921762853860855, Best params: {'in_len': 96}
Current value: 0.04044350981712341, Current params: {'in_len': 12}
Best value: 0.03921762853860855, Best params: {'in_len': 96}
Current value: 0.039637491106987, Current params: {'in_len': 36}
Best value: 0.03921762853860855, Best params: {'in_len': 96}
Current value: 0.039637491106987, Current params: {'in_len': 36}
Best value: 0.03921762853860855, Best params: {'in_len': 96}
Current value: 0.04009885713458061, Current params: {'in_len': 24}
Best value: 0.03921762853860855, Best params: {'in_len': 96}
Current value: 0.039158742874860764, Current params: {'in_len': 60}
Best value: 0.039158742874860764, Best params: {'in_len': 60}
Current value: 0.038842976093292236, Current params: {'in_len': 84}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.04044350981712341, Current params: {'in_len': 12}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03929130733013153, Current params: {'in_len': 108}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03911510854959488, Current params: {'in_len': 72}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03911510854959488, Current params: {'in_len': 72}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03921762853860855, Current params: {'in_len': 96}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.039158742874860764, Current params: {'in_len': 60}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03931788355112076, Current params: {'in_len': 120}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.038842976093292236, Current params: {'in_len': 84}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03925209492444992, Current params: {'in_len': 132}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03921762853860855, Current params: {'in_len': 96}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.038842976093292236, Current params: {'in_len': 84}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03938379883766174, Current params: {'in_len': 48}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03931788355112076, Current params: {'in_len': 120}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.038842976093292236, Current params: {'in_len': 84}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.038842976093292236, Current params: {'in_len': 84}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.039158742874860764, Current params: {'in_len': 60}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03929130733013153, Current params: {'in_len': 108}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.038842976093292236, Current params: {'in_len': 84}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03911510854959488, Current params: {'in_len': 72}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03929130733013153, Current params: {'in_len': 108}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03921762853860855, Current params: {'in_len': 96}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03938379883766174, Current params: {'in_len': 48}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.038842976093292236, Current params: {'in_len': 84}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.038842976093292236, Current params: {'in_len': 84}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03921762853860855, Current params: {'in_len': 96}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03911510854959488, Current params: {'in_len': 72}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.038842976093292236, Current params: {'in_len': 84}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03921762853860855, Current params: {'in_len': 96}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.039437185972929, Current params: {'in_len': 144}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.039158742874860764, Current params: {'in_len': 60}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03938379883766174, Current params: {'in_len': 48}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03929130733013153, Current params: {'in_len': 108}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03911510854959488, Current params: {'in_len': 72}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.038842976093292236, Current params: {'in_len': 84}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.038842976093292236, Current params: {'in_len': 84}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.038842976093292236, Current params: {'in_len': 84}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03921762853860855, Current params: {'in_len': 96}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03911510854959488, Current params: {'in_len': 72}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03931788355112076, Current params: {'in_len': 120}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03929130733013153, Current params: {'in_len': 108}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.039158742874860764, Current params: {'in_len': 60}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
Current value: 0.03911510854959488, Current params: {'in_len': 72}
Best value: 0.038842976093292236, Best params: {'in_len': 84}
--------------------------------
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)
		Age: REAL_VALUED (STATIC_INPUT)
		BMI: REAL_VALUED (STATIC_INPUT)
		A1C: REAL_VALUED (STATIC_INPUT)
		FBG: REAL_VALUED (STATIC_INPUT)
		ogtt.2hr: REAL_VALUED (STATIC_INPUT)
		insulin: REAL_VALUED (STATIC_INPUT)
		hs.CRP: REAL_VALUED (STATIC_INPUT)
		Tchol: REAL_VALUED (STATIC_INPUT)
		Trg: REAL_VALUED (STATIC_INPUT)
		HDL: REAL_VALUED (STATIC_INPUT)
		LDL: REAL_VALUED (STATIC_INPUT)
		mean_glucose: REAL_VALUED (STATIC_INPUT)
		sd_glucose: REAL_VALUED (STATIC_INPUT)
		range_glucose: REAL_VALUED (STATIC_INPUT)
		min_glucose: REAL_VALUED (STATIC_INPUT)
		max_glucose: REAL_VALUED (STATIC_INPUT)
		quartile.25_glucose: REAL_VALUED (STATIC_INPUT)
		median_glucose: REAL_VALUED (STATIC_INPUT)
		quartile.75_glucose: REAL_VALUED (STATIC_INPUT)
		mean_slope: REAL_VALUED (STATIC_INPUT)
		max_slope: REAL_VALUED (STATIC_INPUT)
		number_Random140: REAL_VALUED (STATIC_INPUT)
		number_Random200: REAL_VALUED (STATIC_INPUT)
		percent_below.80: REAL_VALUED (STATIC_INPUT)
		se_glucose_mean: REAL_VALUED (STATIC_INPUT)
		numGE: REAL_VALUED (STATIC_INPUT)
		mage: REAL_VALUED (STATIC_INPUT)
		j_index: REAL_VALUED (STATIC_INPUT)
		IQR: REAL_VALUED (STATIC_INPUT)
		modd: REAL_VALUED (STATIC_INPUT)
		distance_traveled: REAL_VALUED (STATIC_INPUT)
		coef_variation: REAL_VALUED (STATIC_INPUT)
		number_Random140_normByDays: REAL_VALUED (STATIC_INPUT)
		number_Random200_normByDays: REAL_VALUED (STATIC_INPUT)
		numGE_normByDays: REAL_VALUED (STATIC_INPUT)
		distance_traveled_normByDays: REAL_VALUED (STATIC_INPUT)
		diagnosis: REAL_VALUED (STATIC_INPUT)
		freq_low: REAL_VALUED (STATIC_INPUT)
		freq_moderate: REAL_VALUED (STATIC_INPUT)
		freq_severe: REAL_VALUED (STATIC_INPUT)
		glucotype: REAL_VALUED (STATIC_INPUT)
		Height: REAL_VALUED (STATIC_INPUT)
		Weight: REAL_VALUED (STATIC_INPUT)
		Insulin_rate_dd: REAL_VALUED (STATIC_INPUT)
		perc_cgm_prediabetic_range: REAL_VALUED (STATIC_INPUT)
		perc_cgm_diabetic_range: REAL_VALUED (STATIC_INPUT)
		SSPG: REAL_VALUED (STATIC_INPUT)
		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)
Interpolating data...
	Dropped segments: 160
	Extracted segments: 152
	Interpolated values: 8003
	Percent of values interpolated: 8.57%
Splitting data...
	Train: 62461 (61.57%)
	Val: 12357 (12.18%)
	Test: 16517 (16.28%)
	Test OOD: 10113 (9.97%)
Scaling data...
	No scaling applied
Data formatting complete.
--------------------------------
	Train: 63445 (62.63%)
	Val: 12166 (12.01%)
	Test: 16009 (15.80%)
	Test OOD: 9684 (9.56%)
	No scaling applied
	Seed: 10 ID mean of (MSE, MAE): [208.99224853515625, 8.913287162780762]
	Seed: 10 OOD mean of (MSE, MAE) stats: [148.8975830078125, 8.36043643951416]
	Seed: 10 ID median of (MSE, MAE): [53.77004623413086, 6.282029628753662]
	Seed: 10 OOD median of (MSE, MAE) stats: [61.030181884765625, 6.578516483306885]
	Seed: 10 ID likelihoods: -9.59008726069143
	Seed: 10 OOD likelihoods: -9.420567528150057
	Seed: 10 ID calibration errors: [0.47678161633703753, 0.293480940308105, 0.17606194330409072, 0.11225366213909632, 0.0672659900820802, 0.041061950881191564, 0.02216456048521732, 0.017113159959164466, 0.009587785511471977, 0.008269774086214267, 0.007152303261840856, 0.0046168032817939]
	Seed: 10 OOD calibration errors: [0.39887839433293976, 0.211036984525215, 0.10370135140833191, 0.055030622786304585, 0.027360748018215544, 0.015202816663855598, 0.008740012017203551, 0.008964148675999309, 0.007312178487097303, 0.005346469682914478, 0.007199648971158697, 0.009038860895597894]
	Train: 63249 (62.26%)
	Val: 12497 (12.30%)
	Test: 16368 (16.11%)
	Test OOD: 9478 (9.33%)
	No scaling applied
	Seed: 11 ID mean of (MSE, MAE): [189.72438049316406, 8.663931846618652]
	Seed: 11 OOD mean of (MSE, MAE) stats: [220.9972381591797, 9.618278503417969]
	Seed: 11 ID median of (MSE, MAE): [53.00947570800781, 6.303501129150391]
	Seed: 11 OOD median of (MSE, MAE) stats: [70.27838134765625, 7.116266250610352]
	Seed: 11 ID likelihoods: -9.541724044580626
	Seed: 11 OOD likelihoods: -9.618013531848115
	Seed: 11 ID calibration errors: [0.45308437358665443, 0.27028024024314656, 0.15723400255728293, 0.10127045221472981, 0.059556402606418465, 0.03579488878424832, 0.016705162398634617, 0.012344194651295659, 0.006738552250278707, 0.006242636644338506, 0.005846015831330984, 0.0027981216812553384]
	Seed: 11 OOD calibration errors: [0.49569445314476146, 0.3028891176081114, 0.189340543275113, 0.12103381176707532, 0.07806279135599922, 0.05632369884444805, 0.04688453758497343, 0.04520826180351094, 0.048078864255758094, 0.049797324460860014, 0.05164804710699695, 0.05349734246060469]
	Train: 62878 (61.98%)
	Val: 12502 (12.32%)
	Test: 16426 (16.19%)
	Test OOD: 9642 (9.50%)
	No scaling applied
	Seed: 12 ID mean of (MSE, MAE): [211.65716552734375, 9.072310447692871]
	Seed: 12 OOD mean of (MSE, MAE) stats: [155.1027069091797, 8.166112899780273]
	Seed: 12 ID median of (MSE, MAE): [58.095577239990234, 6.504417419433594]
	Seed: 12 OOD median of (MSE, MAE) stats: [51.90742111206055, 6.09042501449585]
	Seed: 12 ID likelihoods: -9.596422588361023
	Seed: 12 OOD likelihoods: -9.440982146987032
	Seed: 12 ID calibration errors: [0.4670187973664342, 0.2864102425408967, 0.16951259873235694, 0.1097186652114182, 0.06603865912394469, 0.040280853474787645, 0.01978284496791011, 0.014989876366530064, 0.008314558275411407, 0.006345663981546885, 0.0054583963816204045, 0.0034275272068352005]
	Seed: 12 OOD calibration errors: [0.41988175645088277, 0.2413727478497057, 0.1334716161158895, 0.08066292440018107, 0.0435369850611136, 0.028874060660932527, 0.018967677682209128, 0.01221566319601629, 0.007632956088727923, 0.007372928927116338, 0.006655862381167947, 0.005020371208691719]
	Train: 63355 (62.45%)
	Val: 12166 (11.99%)
	Test: 16278 (16.05%)
	Test OOD: 9649 (9.51%)
	No scaling applied
	Seed: 13 ID mean of (MSE, MAE): [204.35789489746094, 8.826946258544922]
	Seed: 13 OOD mean of (MSE, MAE) stats: [181.33595275878906, 8.624662399291992]
	Seed: 13 ID median of (MSE, MAE): [53.46518325805664, 6.203732013702393]
	Seed: 13 OOD median of (MSE, MAE) stats: [57.18185043334961, 6.416200160980225]
	Seed: 13 ID likelihoods: -9.578874917599975
	Seed: 13 OOD likelihoods: -9.519114277000165
	Seed: 13 ID calibration errors: [0.46959938594426226, 0.28707354411619124, 0.1671952184743433, 0.10530196205112805, 0.06432496735282955, 0.041599884236946674, 0.021470186040320957, 0.01751842190896306, 0.010817237895442837, 0.00900955329387094, 0.007384512854956557, 0.00472433094023377]
	Seed: 13 OOD calibration errors: [0.46021707157808645, 0.26611189137964547, 0.1620737619666603, 0.1006562537869178, 0.0635376154819226, 0.0361344101910917, 0.022436556321875162, 0.02126205602066536, 0.022244932831520424, 0.02884312766500939, 0.030015361264331485, 0.033935011913262064]
	Train: 63970 (62.97%)
	Val: 12502 (12.31%)
	Test: 16207 (15.95%)
	Test OOD: 8913 (8.77%)
	No scaling applied
	Seed: 14 ID mean of (MSE, MAE): [197.1588592529297, 8.78811264038086]
	Seed: 14 OOD mean of (MSE, MAE) stats: [147.3196258544922, 7.900130748748779]
	Seed: 14 ID median of (MSE, MAE): [53.90949630737305, 6.281681060791016]
	Seed: 14 OOD median of (MSE, MAE) stats: [50.66560363769531, 6.0816755294799805]
	Seed: 14 ID likelihoods: -9.560943702044092
	Seed: 14 OOD likelihoods: -9.41524065378786
	Seed: 14 ID calibration errors: [0.46365675871823525, 0.28168418107365295, 0.16276404648056012, 0.10524981928560866, 0.061775884296557455, 0.03786504668234382, 0.018540718648521203, 0.014453996930383644, 0.008002408883105586, 0.0076237875521134, 0.005698511086785755, 0.00438860264071764]
	Seed: 14 OOD calibration errors: [0.42294832222527423, 0.230312350908644, 0.11958156833263454, 0.06217163758331041, 0.037179408405499575, 0.020998026572597552, 0.014649445560872639, 0.013485267966863747, 0.011946645173415817, 0.010873910277725544, 0.006810131706400252, 0.003699995662796903]
	Train: 62763 (62.13%)
	Val: 11344 (11.23%)
	Test: 16397 (16.23%)
	Test OOD: 10512 (10.41%)
	No scaling applied
	Seed: 15 ID mean of (MSE, MAE): [177.757080078125, 8.605246543884277]
	Seed: 15 OOD mean of (MSE, MAE) stats: [400.9071960449219, 12.354357719421387]
	Seed: 15 ID median of (MSE, MAE): [54.519718170166016, 6.366405010223389]
	Seed: 15 OOD median of (MSE, MAE) stats: [109.41094970703125, 8.979798316955566]
	Seed: 15 ID likelihoods: -9.509147697582954
	Seed: 15 OOD likelihoods: -9.915803860356814
	Seed: 15 ID calibration errors: [0.4481327648380819, 0.26082177479768615, 0.14404082832333795, 0.0897834221645675, 0.0482672479170142, 0.02975572142315445, 0.012137606228923467, 0.008903727214707537, 0.004561079118105252, 0.003599270926098538, 0.0033921392560728758, 0.00238513365815695]
	Seed: 15 OOD calibration errors: [0.5287572679188182, 0.3620946386142919, 0.23781065233990037, 0.1483507820299323, 0.08899622284318155, 0.0586848461791703, 0.037605760657702304, 0.0260602210802594, 0.021322527787100486, 0.020647772523278426, 0.02157672153032747, 0.023791579272004947]
	Train: 62059 (61.70%)
	Val: 11494 (11.43%)
	Test: 16330 (16.24%)
	Test OOD: 10701 (10.64%)
	No scaling applied
	Seed: 16 ID mean of (MSE, MAE): [182.98265075683594, 8.645167350769043]
	Seed: 16 OOD mean of (MSE, MAE) stats: [254.0228271484375, 9.550582885742188]
	Seed: 16 ID median of (MSE, MAE): [52.90530014038086, 6.303503513336182]
	Seed: 16 OOD median of (MSE, MAE) stats: [64.0030746459961, 6.8575758934021]
	Seed: 16 ID likelihoods: -9.52363433015842
	Seed: 16 OOD likelihoods: -9.68765056999216
	Seed: 16 ID calibration errors: [0.45847867764122474, 0.27026550713798825, 0.14959275250730375, 0.09397107880419843, 0.05411738536680693, 0.033046027093773064, 0.015868629447061345, 0.011697595835167402, 0.007537648900892146, 0.005707313589964855, 0.005968508198269254, 0.004730088726305171]
	Seed: 16 OOD calibration errors: [0.48466461731647986, 0.3175384341342024, 0.20452417862855785, 0.12695424587616774, 0.07857476689082535, 0.04960388635806483, 0.028658892539624586, 0.01701383928650162, 0.010319060191284436, 0.005556525557795377, 0.0054746926415630065, 0.003291570327807847]
	Train: 62375 (61.66%)
	Val: 12166 (12.03%)
	Test: 16481 (16.29%)
	Test OOD: 10138 (10.02%)
	No scaling applied
	Seed: 17 ID mean of (MSE, MAE): [199.7724609375, 8.803597450256348]
	Seed: 17 OOD mean of (MSE, MAE) stats: [193.41311645507812, 8.997320175170898]
	Seed: 17 ID median of (MSE, MAE): [53.029205322265625, 6.260244369506836]
	Seed: 17 OOD median of (MSE, MAE) stats: [63.9534797668457, 6.726980209350586]
	Seed: 17 ID likelihoods: -9.567527701275232
	Seed: 17 OOD likelihoods: -9.551352536507265
	Seed: 17 ID calibration errors: [0.4618613746896575, 0.27987767688104387, 0.16480869299051112, 0.10615572107154597, 0.0637559659445181, 0.03884966386649886, 0.0194584452833611, 0.01363863097869831, 0.007373964107970834, 0.005850310059064258, 0.005173735106395034, 0.0037897493453048986]
	Seed: 17 OOD calibration errors: [0.4618070719422366, 0.27529320852864386, 0.17006567773992878, 0.10267114546636773, 0.06525400083461923, 0.04630401975912503, 0.03357389291641193, 0.0323727933541018, 0.036227205675410795, 0.04184608553876616, 0.04361128094641945, 0.047431119651400955]
	Train: 62790 (61.89%)
	Val: 12430 (12.25%)
	Test: 16398 (16.16%)
	Test OOD: 9830 (9.69%)
	No scaling applied
	Seed: 18 ID mean of (MSE, MAE): [212.0206756591797, 9.060747146606445]
	Seed: 18 OOD mean of (MSE, MAE) stats: [111.8470687866211, 7.0147199630737305]
	Seed: 18 ID median of (MSE, MAE): [55.78068161010742, 6.392348289489746]
	Seed: 18 OOD median of (MSE, MAE) stats: [41.17157745361328, 5.450442790985107]
	Seed: 18 ID likelihoods: -9.597280143636404
	Seed: 18 OOD likelihoods: -9.277505012422454
	Seed: 18 ID calibration errors: [0.47094874246810015, 0.28860292488775985, 0.17074078449905475, 0.11120268563917764, 0.06459379430529295, 0.039596101872637034, 0.020914036655245723, 0.015497160769139876, 0.009087846319706981, 0.007687337547258976, 0.006375531663516069, 0.0048619520912098245]
	Seed: 18 OOD calibration errors: [0.4341217009945961, 0.2447294228208943, 0.13338397681885816, 0.07818544913462289, 0.04943221865455398, 0.03424230558383584, 0.01824418513587593, 0.012794267366277682, 0.01060693867961467, 0.014862557757067876, 0.015016054507009144, 0.01279191792622758]
	Train: 63058 (62.25%)
	Val: 12013 (11.86%)
	Test: 16332 (16.12%)
	Test OOD: 9901 (9.77%)
	No scaling applied
	Seed: 19 ID mean of (MSE, MAE): [204.66810607910156, 8.975170135498047]
	Seed: 19 OOD mean of (MSE, MAE) stats: [169.08139038085938, 8.105489730834961]
	Seed: 19 ID median of (MSE, MAE): [56.62910842895508, 6.4471917152404785]
	Seed: 19 OOD median of (MSE, MAE) stats: [48.197845458984375, 5.94578218460083]
	Seed: 19 ID likelihoods: -9.579633108473276
	Seed: 19 OOD likelihoods: -9.484128452153083
	Seed: 19 ID calibration errors: [0.46720132994709335, 0.28523179205076915, 0.16648224589966554, 0.10582620175674069, 0.06180114882917523, 0.037414506580164805, 0.01874792986342134, 0.013285533381962499, 0.008549951019455868, 0.007498192802975459, 0.006478760340141875, 0.005125482485297635]
	Seed: 19 OOD calibration errors: [0.4607505851135195, 0.279536232316155, 0.16308060404585498, 0.1035555522428109, 0.07624647813836999, 0.051877729908617914, 0.03496563855637213, 0.024794651242527672, 0.020850762510994145, 0.018833499798750736, 0.01370298594236817, 0.011650541882202096]
ID mean of (MSE, MAE): [198.90914916992188, 8.83545207977295] +- [11.349799697065837, 0.15949587298727302]
OOD mean of (MSE, MAE): [198.29246520996094, 8.869209289550781] +- [77.59830789639248, 1.377045954730539]
ID median of (MSE, MAE): [54.511375427246094, 6.334506034851074] +- [1.6727479727762964, 0.08718633113593506]
OOD median of (MSE, MAE): [61.7800407409668, 6.62436580657959] +- [17.895476410411117, 0.9120612150149439]
ID likelihoods: -9.564527549440342 +- 0.029083290292594013
OOD likelihoods: -9.5330358569205 +- 0.16758706317269226
ID calibration errors: [0.4636763821536781, 0.280372882403724, 0.16284331137685068, 0.10407336703382111, 0.06114974458246377, 0.03752646448957462, 0.018579012001861718, 0.013944229799601252, 0.008057103228184159, 0.006783384048344608, 0.005892841398092966, 0.0040847792057110335] +- [0.008169570441324107, 0.00965786400277426, 0.00937126820658753, 0.006884990923344813, 0.005557101455691261, 0.0035538376523688363, 0.0028507752624716987, 0.0024520035893479137, 0.0016134810066400175, 0.0014781976889237196, 0.0010673644514826374, 0.0008916936406022396]
OOD calibration errors: [0.4567721241017595, 0.2730915028685509, 0.1617033930671729, 0.09792724250736907, 0.06081812356843006, 0.03982458007217393, 0.026472659897312078, 0.02141711699927238, 0.019654207168092408, 0.020398020218928437, 0.020171078699774258, 0.020414831120059672] +- [0.03727937866085733, 0.04286185813924264, 0.038986171743195894, 0.027905236329572782, 0.019437722109659116, 0.014269514065153664, 0.011236041911828771, 0.010561417537916885, 0.012723179655546639, 0.014615028878937135, 0.015661917442868, 0.017585350635706515]
