Optimization started at 2023-03-03 20:53:14.098756--------------------------------
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)
		Height: REAL_VALUED (STATIC_INPUT)
		Weight: REAL_VALUED (STATIC_INPUT)
		Gender: REAL_VALUED (STATIC_INPUT)
		Race: REAL_VALUED (STATIC_INPUT)
		EduLevel: REAL_VALUED (STATIC_INPUT)
		AnnualInc: REAL_VALUED (STATIC_INPUT)
		MaritalStatus: REAL_VALUED (STATIC_INPUT)
		DaysWkEx: REAL_VALUED (STATIC_INPUT)
		DaysWkDrinkAlc: REAL_VALUED (STATIC_INPUT)
		DaysMonBingeAlc: REAL_VALUED (STATIC_INPUT)
		T1DDiagAge: REAL_VALUED (STATIC_INPUT)
		NumHospDKA: REAL_VALUED (STATIC_INPUT)
		NumSHSinceT1DDiag: REAL_VALUED (STATIC_INPUT)
		InsDeliveryMethod: REAL_VALUED (STATIC_INPUT)
		UnitsInsTotal: REAL_VALUED (STATIC_INPUT)
		NumMeterCheckDay: REAL_VALUED (STATIC_INPUT)
		Aspirin: REAL_VALUED (STATIC_INPUT)
		Simvastatin: REAL_VALUED (STATIC_INPUT)
		Lisinopril: REAL_VALUED (STATIC_INPUT)
		Vitamin D: REAL_VALUED (STATIC_INPUT)
		Multivitamin preparation: REAL_VALUED (STATIC_INPUT)
		Omeprazole: REAL_VALUED (STATIC_INPUT)
		atorvastatin: REAL_VALUED (STATIC_INPUT)
		Synthroid: REAL_VALUED (STATIC_INPUT)
		vitamin D3: REAL_VALUED (STATIC_INPUT)
		Hypertension: REAL_VALUED (STATIC_INPUT)
		Hyperlipidemia: REAL_VALUED (STATIC_INPUT)
		Hypothyroidism: REAL_VALUED (STATIC_INPUT)
		Depression: REAL_VALUED (STATIC_INPUT)
		Coronary artery disease: REAL_VALUED (STATIC_INPUT)
		Diabetic peripheral neuropathy: REAL_VALUED (STATIC_INPUT)
		Dyslipidemia: REAL_VALUED (STATIC_INPUT)
		Chronic kidney disease: REAL_VALUED (STATIC_INPUT)
		Osteoporosis: REAL_VALUED (STATIC_INPUT)
		Proliferative diabetic retinopathy: REAL_VALUED (STATIC_INPUT)
		Hypercholesterolemia: REAL_VALUED (STATIC_INPUT)
		Erectile dysfunction: REAL_VALUED (STATIC_INPUT)
		Type I diabetes mellitus: 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: 1416
	Extracted segments: 681
	Interpolated values: 140564
	Percent of values interpolated: 24.24%
Splitting data...
	Train: 357814 (68.58%)
	Val: 96960 (18.58%)
	Test: 125008 (23.96%)
Scaling data...
	No scaling applied
Data formatting complete.
--------------------------------
Current value: 0.06249021738767624, Current params: {'in_len': 180, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.1222042835503229, 'lr': 0.0008657875430405703, 'batch_size': 64, 'lr_epochs': 18}
Best value: 0.06249021738767624, Best params: {'in_len': 180, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.1222042835503229, 'lr': 0.0008657875430405703, 'batch_size': 64, 'lr_epochs': 18}
Current value: 0.0685029923915863, Current params: {'in_len': 156, 'max_samples_per_ts': 50, 'kernel_sizes': 1, 'dropout': 0.14254360127792062, 'lr': 0.0009074563635000733, 'batch_size': 48, 'lr_epochs': 16}
Best value: 0.06249021738767624, Best params: {'in_len': 180, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.1222042835503229, 'lr': 0.0008657875430405703, 'batch_size': 64, 'lr_epochs': 18}
Current value: 0.05646131560206413, Current params: {'in_len': 120, 'max_samples_per_ts': 150, 'kernel_sizes': 3, 'dropout': 0.05108900843470981, 'lr': 0.0003227278878116579, 'batch_size': 64, 'lr_epochs': 18}
Best value: 0.05646131560206413, Best params: {'in_len': 120, 'max_samples_per_ts': 150, 'kernel_sizes': 3, 'dropout': 0.05108900843470981, 'lr': 0.0003227278878116579, 'batch_size': 64, 'lr_epochs': 18}
Current value: 0.054990433156490326, Current params: {'in_len': 156, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.06275809920320256, 'lr': 0.0009311269486463349, 'batch_size': 32, 'lr_epochs': 10}
Best value: 0.054990433156490326, Best params: {'in_len': 156, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.06275809920320256, 'lr': 0.0009311269486463349, 'batch_size': 32, 'lr_epochs': 10}
Current value: 0.054960835725069046, Current params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.008446095511317253, Current params: {'in_len': 192, 'max_samples_per_ts': 150, 'kernel_sizes': 5, 'dropout': 0.1521131330197722, 'lr': 0.0004856699515648512, 'batch_size': 32, 'lr_epochs': 12}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.007799588609486818, Current params: {'in_len': 96, 'max_samples_per_ts': 150, 'kernel_sizes': 3, 'dropout': 0.16381293687252796, 'lr': 0.0003558304868426043, 'batch_size': 32, 'lr_epochs': 4}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.007700436282902956, Current params: {'in_len': 180, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.05373836706588702, 'lr': 0.00043702213805381823, 'batch_size': 32, 'lr_epochs': 16}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.007721508387476206, Current params: {'in_len': 120, 'max_samples_per_ts': 100, 'kernel_sizes': 2, 'dropout': 0.06499673595622328, 'lr': 0.0008464884455762061, 'batch_size': 32, 'lr_epochs': 6}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.05733685567975044, Current params: {'in_len': 132, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.09797730901940355, 'lr': 0.0004028684659717029, 'batch_size': 48, 'lr_epochs': 8}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.0068621644750237465, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.0022736289845506907, 'lr': 0.00011626981895837102, 'batch_size': 48, 'lr_epochs': 2}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.008923211134970188, Current params: {'in_len': 156, 'max_samples_per_ts': 200, 'kernel_sizes': 5, 'dropout': 0.09217021546891621, 'lr': 0.0006682976320436376, 'batch_size': 32, 'lr_epochs': 12}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.008088137023150921, Current params: {'in_len': 144, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.19467458655185327, 'lr': 0.00010780912782360711, 'batch_size': 32, 'lr_epochs': 10}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.007981623522937298, Current params: {'in_len': 120, 'max_samples_per_ts': 100, 'kernel_sizes': 2, 'dropout': 0.017558231780604158, 'lr': 0.0006912545952783012, 'batch_size': 48, 'lr_epochs': 14}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.006907112896442413, Current params: {'in_len': 144, 'max_samples_per_ts': 150, 'kernel_sizes': 2, 'dropout': 0.07832852547825193, 'lr': 0.0006353282480272579, 'batch_size': 32, 'lr_epochs': 8}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.007897727191448212, Current params: {'in_len': 168, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.11972001604226429, 'lr': 0.00024165434709514462, 'batch_size': 48, 'lr_epochs': 10}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.007789586205035448, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.11970178780700248, 'lr': 0.0009951187989638527, 'batch_size': 32, 'lr_epochs': 14}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.007518989499658346, Current params: {'in_len': 132, 'max_samples_per_ts': 100, 'kernel_sizes': 4, 'dropout': 0.0352777260913155, 'lr': 0.0005566075044493064, 'batch_size': 64, 'lr_epochs': 8}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.007647257298231125, Current params: {'in_len': 156, 'max_samples_per_ts': 150, 'kernel_sizes': 2, 'dropout': 0.07942529481757746, 'lr': 0.0007606308898672751, 'batch_size': 48, 'lr_epochs': 20}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.010579146444797516, Current params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.03319111013808449, 'lr': 0.0002733935723974564, 'batch_size': 32, 'lr_epochs': 6}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.008196307346224785, Current params: {'in_len': 108, 'max_samples_per_ts': 150, 'kernel_sizes': 2, 'dropout': 0.18089729513352215, 'lr': 0.0005587668988291955, 'batch_size': 48, 'lr_epochs': 14}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.007438194006681442, Current params: {'in_len': 120, 'max_samples_per_ts': 150, 'kernel_sizes': 4, 'dropout': 0.05564177310581647, 'lr': 0.00022921226337033695, 'batch_size': 64, 'lr_epochs': 18}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.007402350660413504, Current params: {'in_len': 144, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.037195708669917504, 'lr': 0.00032567818473103373, 'batch_size': 64, 'lr_epochs': 20}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.007624303922057152, Current params: {'in_len': 108, 'max_samples_per_ts': 150, 'kernel_sizes': 4, 'dropout': 0.07368182225395468, 'lr': 0.0001810595904437389, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.01382365170866251, Current params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 2, 'dropout': 0.10247917802141586, 'lr': 0.00017944917576476384, 'batch_size': 48, 'lr_epochs': 16}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.007967100478708744, Current params: {'in_len': 168, 'max_samples_per_ts': 100, 'kernel_sizes': 5, 'dropout': 0.04929390948824779, 'lr': 0.00048579556579704005, 'batch_size': 32, 'lr_epochs': 10}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.01114613562822342, Current params: {'in_len': 120, 'max_samples_per_ts': 150, 'kernel_sizes': 3, 'dropout': 0.08996328067929892, 'lr': 0.00031662344008337483, 'batch_size': 64, 'lr_epochs': 18}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.007091208826750517, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.11125591782380755, 'lr': 0.00038582546784316396, 'batch_size': 48, 'lr_epochs': 6}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.00805301871150732, Current params: {'in_len': 168, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.13578078908259078, 'lr': 0.00019338162191401205, 'batch_size': 32, 'lr_epochs': 14}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.012659616768360138, Current params: {'in_len': 144, 'max_samples_per_ts': 150, 'kernel_sizes': 2, 'dropout': 0.06551631997348517, 'lr': 0.0007707956993442864, 'batch_size': 64, 'lr_epochs': 20}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.00845660176128149, Current params: {'in_len': 180, 'max_samples_per_ts': 100, 'kernel_sizes': 4, 'dropout': 0.006298330118711781, 'lr': 0.0004767335076238914, 'batch_size': 64, 'lr_epochs': 16}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.05744699761271477, Current params: {'in_len': 132, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.09701888877531852, 'lr': 0.0003951385459599893, 'batch_size': 48, 'lr_epochs': 8}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.05633847415447235, Current params: {'in_len': 132, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.13544194608868654, 'lr': 0.0002830874728975693, 'batch_size': 48, 'lr_epochs': 8}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.059482820332050323, Current params: {'in_len': 156, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.13349864623488603, 'lr': 0.0003005071410435101, 'batch_size': 32, 'lr_epochs': 10}
Best value: 0.054960835725069046, Best params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.111174422321193, 'lr': 0.00020845386046275323, 'batch_size': 32, 'lr_epochs': 12}
Current value: 0.05365777760744095, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.006911351345479488, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15635754593792034, 'lr': 0.0009896796307795057, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.00614225072786212, Current params: {'in_len': 132, 'max_samples_per_ts': 50, 'kernel_sizes': 2, 'dropout': 0.1711872126575142, 'lr': 0.0009322546005615, 'batch_size': 32, 'lr_epochs': 4}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.006140498910099268, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 4, 'dropout': 0.14713947616691267, 'lr': 0.0008679992230290122, 'batch_size': 32, 'lr_epochs': 12}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.005951891653239727, Current params: {'in_len': 192, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.13230004743624063, 'lr': 0.0009313869825793649, 'batch_size': 32, 'lr_epochs': 6}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.00853211060166359, Current params: {'in_len': 144, 'max_samples_per_ts': 100, 'kernel_sizes': 5, 'dropout': 0.16023146732034396, 'lr': 0.0008719149463906519, 'batch_size': 32, 'lr_epochs': 4}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.006330732721835375, Current params: {'in_len': 108, 'max_samples_per_ts': 50, 'kernel_sizes': 1, 'dropout': 0.14150105851819683, 'lr': 0.0008317654268184805, 'batch_size': 32, 'lr_epochs': 4}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.015215066261589527, Current params: {'in_len': 120, 'max_samples_per_ts': 100, 'kernel_sizes': 3, 'dropout': 0.10783447548868619, 'lr': 0.00014549060308375223, 'batch_size': 48, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.007531310431659222, Current params: {'in_len': 120, 'max_samples_per_ts': 150, 'kernel_sizes': 3, 'dropout': 0.1264159417928344, 'lr': 0.0007960129775724666, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.008706159889698029, Current params: {'in_len': 132, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.17557629095515248, 'lr': 0.00024804669818436365, 'batch_size': 48, 'lr_epochs': 12}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.06009884551167488, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 2, 'dropout': 0.04688769100176164, 'lr': 0.00044436541995267377, 'batch_size': 32, 'lr_epochs': 16}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.0068750279024243355, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.08692841243121908, 'lr': 0.000957345046437951, 'batch_size': 32, 'lr_epochs': 10}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.00806628167629242, Current params: {'in_len': 144, 'max_samples_per_ts': 100, 'kernel_sizes': 3, 'dropout': 0.06516462155258688, 'lr': 0.0006116321111374979, 'batch_size': 48, 'lr_epochs': 6}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.006925959140062332, Current params: {'in_len': 96, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.11457149240644343, 'lr': 0.00035967263907086557, 'batch_size': 32, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.008242717012763023, Current params: {'in_len': 156, 'max_samples_per_ts': 100, 'kernel_sizes': 2, 'dropout': 0.14688893357136135, 'lr': 0.0006992945073929401, 'batch_size': 64, 'lr_epochs': 4}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.0076647172681987286, Current params: {'in_len': 132, 'max_samples_per_ts': 150, 'kernel_sizes': 4, 'dropout': 0.017810069533280494, 'lr': 0.0002175679773986697, 'batch_size': 48, 'lr_epochs': 12}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.006875023245811462, Current params: {'in_len': 120, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.12479983621722274, 'lr': 0.00026862027394922183, 'batch_size': 32, 'lr_epochs': 14}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.05761512741446495, Current params: {'in_len': 132, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.0806280885079497, 'lr': 0.0003951331792632732, 'batch_size': 48, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.055044494569301605, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.19717579643127994, 'lr': 0.00013462332789808537, 'batch_size': 48, 'lr_epochs': 10}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.006041945423930883, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.1893719937333382, 'lr': 0.0001037364107228927, 'batch_size': 48, 'lr_epochs': 10}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.005678373854607344, Current params: {'in_len': 108, 'max_samples_per_ts': 50, 'kernel_sizes': 2, 'dropout': 0.1958980418088419, 'lr': 0.00028887655973101, 'batch_size': 48, 'lr_epochs': 10}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.0062208957970142365, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 4, 'dropout': 0.18076973089813025, 'lr': 0.00014345985804120083, 'batch_size': 48, 'lr_epochs': 18}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.006893259473145008, Current params: {'in_len': 108, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15510558522073178, 'lr': 0.0001422272579281657, 'batch_size': 64, 'lr_epochs': 12}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.0071815382689237595, Current params: {'in_len': 132, 'max_samples_per_ts': 150, 'kernel_sizes': 3, 'dropout': 0.16420946349259177, 'lr': 0.00034524290152184616, 'batch_size': 48, 'lr_epochs': 10}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.007483271416276693, Current params: {'in_len': 156, 'max_samples_per_ts': 100, 'kernel_sizes': 2, 'dropout': 0.027328294630207806, 'lr': 0.00020926916979621218, 'batch_size': 32, 'lr_epochs': 6}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.009358784183859825, Current params: {'in_len': 144, 'max_samples_per_ts': 200, 'kernel_sizes': 1, 'dropout': 0.18749603058835396, 'lr': 0.0001659145970445276, 'batch_size': 48, 'lr_epochs': 12}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.009192254394292831, Current params: {'in_len': 168, 'max_samples_per_ts': 200, 'kernel_sizes': 4, 'dropout': 0.10594195485272224, 'lr': 0.0008880014903862754, 'batch_size': 64, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.05820024013519287, Current params: {'in_len': 132, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.05584217783766919, 'lr': 0.0005141687620915815, 'batch_size': 48, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.05939815565943718, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.07157092678014787, 'lr': 0.0003336390683224034, 'batch_size': 48, 'lr_epochs': 10}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.006828347221016884, Current params: {'in_len': 132, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.11613611124707181, 'lr': 0.00025034121740309087, 'batch_size': 48, 'lr_epochs': 14}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.05730573832988739, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.09841466400381779, 'lr': 0.00043434805932114184, 'batch_size': 48, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.0056067234836518764, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 2, 'dropout': 0.04352157069116804, 'lr': 0.00043693114252725963, 'batch_size': 48, 'lr_epochs': 10}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.055016446858644485, Current params: {'in_len': 108, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.09544248648153508, 'lr': 0.0005970660590222587, 'batch_size': 32, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.007389586418867111, Current params: {'in_len': 108, 'max_samples_per_ts': 150, 'kernel_sizes': 3, 'dropout': 0.08820035380728738, 'lr': 0.000999213128364547, 'batch_size': 32, 'lr_epochs': 6}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.005916233640164137, Current params: {'in_len': 108, 'max_samples_per_ts': 50, 'kernel_sizes': 5, 'dropout': 0.05882428351096673, 'lr': 0.000743138877701526, 'batch_size': 32, 'lr_epochs': 6}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.007794227916747332, Current params: {'in_len': 96, 'max_samples_per_ts': 100, 'kernel_sizes': 4, 'dropout': 0.1400443724659282, 'lr': 0.000588656226249774, 'batch_size': 32, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.00720678037032485, Current params: {'in_len': 108, 'max_samples_per_ts': 200, 'kernel_sizes': 3, 'dropout': 0.17052138275507367, 'lr': 0.0008257375304006959, 'batch_size': 32, 'lr_epochs': 16}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.0060653844848275185, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.09674331586251692, 'lr': 0.000515177433043651, 'batch_size': 32, 'lr_epochs': 10}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.05593513697385788, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.0832277495744403, 'lr': 0.0004267508549156623, 'batch_size': 32, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.05573520436882973, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.0727800115752828, 'lr': 0.00037284933030918714, 'batch_size': 32, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.006567502394318581, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.07415576912096755, 'lr': 0.0003675384537294095, 'batch_size': 32, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.006319024600088596, Current params: {'in_len': 108, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.08313358094779072, 'lr': 0.0009565528482314066, 'batch_size': 32, 'lr_epochs': 10}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.00595001969486475, Current params: {'in_len': 132, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.0745319333210391, 'lr': 0.000294619606932832, 'batch_size': 32, 'lr_epochs': 12}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.007010823115706444, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 2, 'dropout': 0.09477611659701897, 'lr': 0.00020017830600410928, 'batch_size': 32, 'lr_epochs': 6}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.005712495185434818, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.06731316314893844, 'lr': 0.0006639784187978664, 'batch_size': 32, 'lr_epochs': 10}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.055581603199243546, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.05938188056532543, 'lr': 0.0004141684004525312, 'batch_size': 32, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.006251555401831865, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.05782614719002274, 'lr': 0.00046418886519066513, 'batch_size': 32, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.05435303971171379, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10391813237056118, 'lr': 0.0009095131331250705, 'batch_size': 32, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.05442152917385101, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10347741091431227, 'lr': 0.0009102780106030915, 'batch_size': 32, 'lr_epochs': 8}
Best value: 0.05365777760744095, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.15413360134184234, 'lr': 0.0009817371151377703, 'batch_size': 32, 'lr_epochs': 4}
Current value: 0.05272694677114487, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.11032431826475003, 'lr': 0.0009383375234928627, 'batch_size': 32, 'lr_epochs': 6}
Best value: 0.05272694677114487, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.11032431826475003, 'lr': 0.0009383375234928627, 'batch_size': 32, 'lr_epochs': 6}
Current value: 0.05361037701368332, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10441573868246043, 'lr': 0.0009154473196352811, 'batch_size': 32, 'lr_epochs': 4}
Best value: 0.05272694677114487, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.11032431826475003, 'lr': 0.0009383375234928627, 'batch_size': 32, 'lr_epochs': 6}
Current value: 0.05363113433122635, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10673650379488961, 'lr': 0.000909331357795803, 'batch_size': 32, 'lr_epochs': 4}
Best value: 0.05272694677114487, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.11032431826475003, 'lr': 0.0009383375234928627, 'batch_size': 32, 'lr_epochs': 6}
Current value: 0.006371812894940376, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 4, 'dropout': 0.10379482888105052, 'lr': 0.0009146324146707924, 'batch_size': 32, 'lr_epochs': 4}
Best value: 0.05272694677114487, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.11032431826475003, 'lr': 0.0009383375234928627, 'batch_size': 32, 'lr_epochs': 6}
Current value: 0.005631118081510067, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10952900016949986, 'lr': 0.0009582220405893455, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05272694677114487, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.11032431826475003, 'lr': 0.0009383375234928627, 'batch_size': 32, 'lr_epochs': 6}
Current value: 0.0057473997585475445, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 1, 'dropout': 0.1285969307010394, 'lr': 0.0008996275056947295, 'batch_size': 32, 'lr_epochs': 4}
Best value: 0.05272694677114487, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.11032431826475003, 'lr': 0.0009383375234928627, 'batch_size': 32, 'lr_epochs': 6}
Current value: 0.005772789474576712, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 2, 'dropout': 0.12001370251331804, 'lr': 0.0008465779622714828, 'batch_size': 32, 'lr_epochs': 4}
Best value: 0.05272694677114487, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.11032431826475003, 'lr': 0.0009383375234928627, 'batch_size': 32, 'lr_epochs': 6}
Current value: 0.006367625668644905, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 2, 'dropout': 0.11564500955268588, 'lr': 0.0009724322085663025, 'batch_size': 32, 'lr_epochs': 6}
Best value: 0.05272694677114487, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.11032431826475003, 'lr': 0.0009383375234928627, 'batch_size': 32, 'lr_epochs': 6}
Current value: 0.0526827909052372, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10074709109180367, 'lr': 0.0009276743756478479, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.0526827909052372, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10074709109180367, 'lr': 0.0009276743756478479, 'batch_size': 32, 'lr_epochs': 2}
Current value: 0.05179191008210182, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10162895545943862, 'lr': 0.0009200129411689094, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05179191008210182, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10162895545943862, 'lr': 0.0009200129411689094, 'batch_size': 32, 'lr_epochs': 2}
Current value: 0.006523726042360067, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10292706523039066, 'lr': 0.0009285255785065165, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05179191008210182, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10162895545943862, 'lr': 0.0009200129411689094, 'batch_size': 32, 'lr_epochs': 2}
Current value: 0.05353553593158722, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.09033867557118654, 'lr': 0.0008838125844261655, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05179191008210182, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10162895545943862, 'lr': 0.0009200129411689094, 'batch_size': 32, 'lr_epochs': 2}
Current value: 0.05345616489648819, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.11168387088832656, 'lr': 0.0008873302323539751, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05179191008210182, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10162895545943862, 'lr': 0.0009200129411689094, 'batch_size': 32, 'lr_epochs': 2}
Current value: 0.05367865413427353, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.09150726026474268, 'lr': 0.0008887508436263013, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05179191008210182, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10162895545943862, 'lr': 0.0009200129411689094, 'batch_size': 32, 'lr_epochs': 2}
Current value: 0.05247807875275612, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.09207116301254276, 'lr': 0.0008860859681855519, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05179191008210182, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10162895545943862, 'lr': 0.0009200129411689094, 'batch_size': 32, 'lr_epochs': 2}
Current value: 0.052299559116363525, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.09332012332067668, 'lr': 0.0008530344795946459, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05179191008210182, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10162895545943862, 'lr': 0.0009200129411689094, 'batch_size': 32, 'lr_epochs': 2}
Current value: 0.006480601150542498, Current params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10032895442421025, 'lr': 0.0008029714749153924, 'batch_size': 32, 'lr_epochs': 2}
Best value: 0.05179191008210182, Best params: {'in_len': 96, 'max_samples_per_ts': 50, 'kernel_sizes': 3, 'dropout': 0.10162895545943862, 'lr': 0.0009200129411689094, 'batch_size': 32, 'lr_epochs': 2}
--------------------------------
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)
		Height: REAL_VALUED (STATIC_INPUT)
		Weight: REAL_VALUED (STATIC_INPUT)
		Gender: REAL_VALUED (STATIC_INPUT)
		Race: REAL_VALUED (STATIC_INPUT)
		EduLevel: REAL_VALUED (STATIC_INPUT)
		AnnualInc: REAL_VALUED (STATIC_INPUT)
		MaritalStatus: REAL_VALUED (STATIC_INPUT)
		DaysWkEx: REAL_VALUED (STATIC_INPUT)
		DaysWkDrinkAlc: REAL_VALUED (STATIC_INPUT)
		DaysMonBingeAlc: REAL_VALUED (STATIC_INPUT)
		T1DDiagAge: REAL_VALUED (STATIC_INPUT)
		NumHospDKA: REAL_VALUED (STATIC_INPUT)
		NumSHSinceT1DDiag: REAL_VALUED (STATIC_INPUT)
		InsDeliveryMethod: REAL_VALUED (STATIC_INPUT)
		UnitsInsTotal: REAL_VALUED (STATIC_INPUT)
		NumMeterCheckDay: REAL_VALUED (STATIC_INPUT)
		Aspirin: REAL_VALUED (STATIC_INPUT)
		Simvastatin: REAL_VALUED (STATIC_INPUT)
		Lisinopril: REAL_VALUED (STATIC_INPUT)
		Vitamin D: REAL_VALUED (STATIC_INPUT)
		Multivitamin preparation: REAL_VALUED (STATIC_INPUT)
		Omeprazole: REAL_VALUED (STATIC_INPUT)
		atorvastatin: REAL_VALUED (STATIC_INPUT)
		Synthroid: REAL_VALUED (STATIC_INPUT)
		vitamin D3: REAL_VALUED (STATIC_INPUT)
		Hypertension: REAL_VALUED (STATIC_INPUT)
		Hyperlipidemia: REAL_VALUED (STATIC_INPUT)
		Hypothyroidism: REAL_VALUED (STATIC_INPUT)
		Depression: REAL_VALUED (STATIC_INPUT)
		Coronary artery disease: REAL_VALUED (STATIC_INPUT)
		Diabetic peripheral neuropathy: REAL_VALUED (STATIC_INPUT)
		Dyslipidemia: REAL_VALUED (STATIC_INPUT)
		Chronic kidney disease: REAL_VALUED (STATIC_INPUT)
		Osteoporosis: REAL_VALUED (STATIC_INPUT)
		Proliferative diabetic retinopathy: REAL_VALUED (STATIC_INPUT)
		Hypercholesterolemia: REAL_VALUED (STATIC_INPUT)
		Erectile dysfunction: REAL_VALUED (STATIC_INPUT)
		Type I diabetes mellitus: 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: 1416
	Extracted segments: 681
	Interpolated values: 140564
	Percent of values interpolated: 24.24%
Splitting data...
	Train: 431798 (69.72%)
	Val: 57067 (9.21%)
	Test: 72421 (11.69%)
	Test OOD: 58048 (9.37%)
Scaling data...
	No scaling applied
Data formatting complete.
--------------------------------
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 10 Seed: 1 ID mean of (MSE, MAE): [614.40094  15.71809]
		Model Seed: 10 Seed: 1 OOD mean of (MSE, MAE) stats: [738.33405   17.248604]
		Model Seed: 10 Seed: 1 ID median of (MSE, MAE): [177.24232   11.249951]
		Model Seed: 10 Seed: 1 OOD median of (MSE, MAE) stats: [220.46315   12.516454]
		Model Seed: 10 Seed: 1 ID likelihoods: -10.129262041353744
		Model Seed: 10 Seed: 1 OOD likelihoods: -10.221135059005416
		Model Seed: 10 Seed: 1 ID calibration errors: [0.46102236 0.30814217 0.20064817 0.12684352 0.07669563 0.0446293
 0.02376769 0.01126199 0.00437445 0.00207618 0.00333721 0.00693062]
		Model Seed: 10 Seed: 1 OOD calibration errors: [0.47593714 0.32371596 0.21116138 0.13183929 0.08047818 0.04784798
 0.02738173 0.01654334 0.01169078 0.01146773 0.01452772 0.02063215]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 10 Seed: 2 ID mean of (MSE, MAE): [624.76874   15.840206]
		Model Seed: 10 Seed: 2 OOD mean of (MSE, MAE) stats: [647.3306    16.197414]
		Model Seed: 10 Seed: 2 ID median of (MSE, MAE): [182.13963   11.411835]
		Model Seed: 10 Seed: 2 OOD median of (MSE, MAE) stats: [192.87288   11.709015]
		Model Seed: 10 Seed: 2 ID likelihoods: -10.137629069839134
		Model Seed: 10 Seed: 2 OOD likelihoods: -10.155368867576918
		Model Seed: 10 Seed: 2 ID calibration errors: [0.46473234 0.31374589 0.20568214 0.13055961 0.08093934 0.04932047
 0.02852256 0.01557469 0.00902698 0.0073891  0.00846695 0.01104257]
		Model Seed: 10 Seed: 2 OOD calibration errors: [0.47162243 0.32002194 0.20743919 0.13110257 0.078662   0.04401015
 0.02259233 0.00975514 0.00357783 0.00258007 0.00543797 0.01115041]
	Model Seed: 10 ID mean of (MSE, MAE): [619.58484   15.779148]
	Model Seed: 10 OOD mean of (MSE, MAE): [692.83234  16.72301]
	Model Seed: 10 ID median of (MSE, MAE): [179.69098   11.330893]
	Model Seed: 10 OOD median of (MSE, MAE): [206.66801   12.112734]
	Model Seed: 10 ID likelihoods: -10.133445555596438
	Model Seed: 10 OOD likelihoods: -10.188251963291167
	Model Seed: 10 ID calibration errors: [0.46287735 0.31094403 0.20316516 0.12870157 0.07881749 0.04697488
 0.02614512 0.01341834 0.00670072 0.00473264 0.00590208 0.00898659]
	Model Seed: 10 OOD calibration errors: [0.47377979 0.32186895 0.20930029 0.13147093 0.07957009 0.04592907
 0.02498703 0.01314924 0.00763431 0.0070239  0.00998285 0.01589128]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 11 Seed: 1 ID mean of (MSE, MAE): [614.1366    15.706468]
		Model Seed: 11 Seed: 1 OOD mean of (MSE, MAE) stats: [739.0803    17.234123]
		Model Seed: 11 Seed: 1 ID median of (MSE, MAE): [176.65796   11.194851]
		Model Seed: 11 Seed: 1 OOD median of (MSE, MAE) stats: [220.737     12.499851]
		Model Seed: 11 Seed: 1 ID likelihoods: -10.129046772761246
		Model Seed: 11 Seed: 1 OOD likelihoods: -10.221643570197266
		Model Seed: 11 Seed: 1 ID calibration errors: [0.46183962 0.30962693 0.20165761 0.12745438 0.07743745 0.0448086
 0.02364767 0.01107542 0.00446668 0.00186149 0.00312682 0.00683909]
		Model Seed: 11 Seed: 1 OOD calibration errors: [0.47709279 0.32587998 0.21298053 0.13373992 0.08209535 0.05003392
 0.02987751 0.01928177 0.01454564 0.01450229 0.01745783 0.02382015]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 11 Seed: 2 ID mean of (MSE, MAE): [624.3173    15.818437]
		Model Seed: 11 Seed: 2 OOD mean of (MSE, MAE) stats: [647.6188    16.180786]
		Model Seed: 11 Seed: 2 ID median of (MSE, MAE): [182.00783   11.381043]
		Model Seed: 11 Seed: 2 OOD median of (MSE, MAE) stats: [192.30476    11.6814165]
		Model Seed: 11 Seed: 2 ID likelihoods: -10.137268894635053
		Model Seed: 11 Seed: 2 OOD likelihoods: -10.155592042529186
		Model Seed: 11 Seed: 2 ID calibration errors: [0.46450563 0.31421928 0.2055345  0.13126318 0.08078173 0.04873854
 0.02764991 0.0146865  0.00815566 0.0064835  0.00759715 0.01014535]
		Model Seed: 11 Seed: 2 OOD calibration errors: [0.47367152 0.32120907 0.20896122 0.13141742 0.07910847 0.04457297
 0.02291289 0.01012012 0.0039182  0.00274322 0.00548006 0.01163348]
	Model Seed: 11 ID mean of (MSE, MAE): [619.2269    15.762452]
	Model Seed: 11 OOD mean of (MSE, MAE): [693.34955   16.707455]
	Model Seed: 11 ID median of (MSE, MAE): [179.33289   11.287947]
	Model Seed: 11 OOD median of (MSE, MAE): [206.52087   12.090633]
	Model Seed: 11 ID likelihoods: -10.13315783369815
	Model Seed: 11 OOD likelihoods: -10.188617806363226
	Model Seed: 11 ID calibration errors: [0.46317263 0.31192311 0.20359606 0.12935878 0.07910959 0.04677357
 0.02564879 0.01288096 0.00631117 0.00417249 0.00536199 0.00849222]
	Model Seed: 11 OOD calibration errors: [0.47538216 0.32354453 0.21097088 0.13257867 0.08060191 0.04730345
 0.0263952  0.01470094 0.00923192 0.00862276 0.01146894 0.01772681]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 12 Seed: 1 ID mean of (MSE, MAE): [613.7961    15.690356]
		Model Seed: 12 Seed: 1 OOD mean of (MSE, MAE) stats: [738.20215   17.205906]
		Model Seed: 12 Seed: 1 ID median of (MSE, MAE): [175.6628    11.167051]
		Model Seed: 12 Seed: 1 OOD median of (MSE, MAE) stats: [218.93193   12.444142]
		Model Seed: 12 Seed: 1 ID likelihoods: -10.128769962041059
		Model Seed: 12 Seed: 1 OOD likelihoods: -10.221048251834924
		Model Seed: 12 Seed: 1 ID calibration errors: [0.46295861 0.30857032 0.2011739  0.12727078 0.07682439 0.04476903
 0.02354544 0.01129142 0.00445817 0.00195365 0.0031994  0.00655095]
		Model Seed: 12 Seed: 1 OOD calibration errors: [0.47590589 0.3244766  0.21279105 0.13351591 0.08179009 0.0492348
 0.02874511 0.01787285 0.01318007 0.01273284 0.01566573 0.02162892]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 12 Seed: 2 ID mean of (MSE, MAE): [624.46533   15.834569]
		Model Seed: 12 Seed: 2 OOD mean of (MSE, MAE) stats: [647.0388    16.212374]
		Model Seed: 12 Seed: 2 ID median of (MSE, MAE): [183.29834   11.427733]
		Model Seed: 12 Seed: 2 OOD median of (MSE, MAE) stats: [195.00752   11.764972]
		Model Seed: 12 Seed: 2 ID likelihoods: -10.137387564643934
		Model Seed: 12 Seed: 2 OOD likelihoods: -10.155141583957379
		Model Seed: 12 Seed: 2 ID calibration errors: [0.4637136  0.31341931 0.20508066 0.13074007 0.08146756 0.04952915
 0.02898929 0.01598886 0.0095778  0.00799031 0.00928002 0.01170118]
		Model Seed: 12 Seed: 2 OOD calibration errors: [0.47175391 0.31966717 0.20733514 0.12991735 0.07788494 0.04339319
 0.02187892 0.00932696 0.00349622 0.00245447 0.00531985 0.01121974]
	Model Seed: 12 ID mean of (MSE, MAE): [619.13074   15.762463]
	Model Seed: 12 OOD mean of (MSE, MAE): [692.6205   16.70914]
	Model Seed: 12 ID median of (MSE, MAE): [179.48056   11.297392]
	Model Seed: 12 OOD median of (MSE, MAE): [206.96973   12.104557]
	Model Seed: 12 ID likelihoods: -10.133078763342496
	Model Seed: 12 OOD likelihoods: -10.188094917896152
	Model Seed: 12 ID calibration errors: [0.4633361  0.31099481 0.20312728 0.12900542 0.07914598 0.04714909
 0.02626737 0.01364014 0.00701798 0.00497198 0.00623971 0.00912607]
	Model Seed: 12 OOD calibration errors: [0.4738299  0.32207189 0.21006309 0.13171663 0.07983751 0.04631399
 0.02531201 0.0135999  0.00833815 0.00759366 0.01049279 0.01642433]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 13 Seed: 1 ID mean of (MSE, MAE): [613.81177   15.713532]
		Model Seed: 13 Seed: 1 OOD mean of (MSE, MAE) stats: [737.5996    17.232317]
		Model Seed: 13 Seed: 1 ID median of (MSE, MAE): [177.15999   11.238787]
		Model Seed: 13 Seed: 1 OOD median of (MSE, MAE) stats: [219.68018    12.4524355]
		Model Seed: 13 Seed: 1 ID likelihoods: -10.128782192864744
		Model Seed: 13 Seed: 1 OOD likelihoods: -10.220638649415017
		Model Seed: 13 Seed: 1 ID calibration errors: [0.4630889  0.30918693 0.20128341 0.12663573 0.07650679 0.04383698
 0.02344314 0.010938   0.00436188 0.00198546 0.00330094 0.00681959]
		Model Seed: 13 Seed: 1 OOD calibration errors: [0.47689485 0.32479156 0.21218794 0.13241889 0.08147546 0.04866341
 0.02855815 0.01783039 0.01299539 0.01275912 0.01580889 0.02180241]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 13 Seed: 2 ID mean of (MSE, MAE): [626.01935   15.873363]
		Model Seed: 13 Seed: 2 OOD mean of (MSE, MAE) stats: [649.4365    16.295652]
		Model Seed: 13 Seed: 2 ID median of (MSE, MAE): [183.90767   11.466191]
		Model Seed: 13 Seed: 2 OOD median of (MSE, MAE) stats: [199.75214   11.938762]
		Model Seed: 13 Seed: 2 ID likelihoods: -10.138627953588532
		Model Seed: 13 Seed: 2 OOD likelihoods: -10.156991177139679
		Model Seed: 13 Seed: 2 ID calibration errors: [0.46190823 0.31198974 0.20395896 0.12927249 0.07943669 0.0480775
 0.02747101 0.01459656 0.00808223 0.00668263 0.00800764 0.01071405]
		Model Seed: 13 Seed: 2 OOD calibration errors: [0.47015494 0.31889994 0.20538421 0.12778045 0.07603249 0.04223948
 0.02053676 0.00875329 0.00336609 0.00264893 0.00575413 0.01195858]
	Model Seed: 13 ID mean of (MSE, MAE): [619.9155     15.7934475]
	Model Seed: 13 OOD mean of (MSE, MAE): [693.51807   16.763985]
	Model Seed: 13 ID median of (MSE, MAE): [180.53383   11.352489]
	Model Seed: 13 OOD median of (MSE, MAE): [209.71616   12.195599]
	Model Seed: 13 ID likelihoods: -10.133705073226638
	Model Seed: 13 OOD likelihoods: -10.188814913277348
	Model Seed: 13 ID calibration errors: [0.46249857 0.31058834 0.20262119 0.12795411 0.07797174 0.04595724
 0.02545707 0.01276728 0.00622206 0.00433405 0.00565429 0.00876682]
	Model Seed: 13 OOD calibration errors: [0.4735249  0.32184575 0.20878608 0.13009967 0.07875397 0.04545145
 0.02454746 0.01329184 0.00818074 0.00770402 0.01078151 0.01688049]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 14 Seed: 1 ID mean of (MSE, MAE): [614.1161    15.750508]
		Model Seed: 14 Seed: 1 OOD mean of (MSE, MAE) stats: [739.6366   17.26514]
		Model Seed: 14 Seed: 1 ID median of (MSE, MAE): [178.65256   11.280302]
		Model Seed: 14 Seed: 1 OOD median of (MSE, MAE) stats: [221.47337   12.528426]
		Model Seed: 14 Seed: 1 ID likelihoods: -10.12903131834603
		Model Seed: 14 Seed: 1 OOD likelihoods: -10.222017032962214
		Model Seed: 14 Seed: 1 ID calibration errors: [0.46043013 0.30687552 0.19981695 0.12572018 0.07634199 0.04386375
 0.02319532 0.01074742 0.00421166 0.00187333 0.00321575 0.00688946]
		Model Seed: 14 Seed: 1 OOD calibration errors: [0.47469907 0.32297874 0.21066424 0.13145153 0.08079116 0.04788095
 0.0278412  0.01713504 0.01226309 0.01202913 0.01510527 0.02092852]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 14 Seed: 2 ID mean of (MSE, MAE): [624.06604   15.830496]
		Model Seed: 14 Seed: 2 OOD mean of (MSE, MAE) stats: [647.21747  16.20499]
		Model Seed: 14 Seed: 2 ID median of (MSE, MAE): [181.6734    11.400105]
		Model Seed: 14 Seed: 2 OOD median of (MSE, MAE) stats: [194.13234   11.751793]
		Model Seed: 14 Seed: 2 ID likelihoods: -10.137068342826439
		Model Seed: 14 Seed: 2 OOD likelihoods: -10.15528041843155
		Model Seed: 14 Seed: 2 ID calibration errors: [0.46417614 0.31353458 0.20579284 0.13057785 0.08011169 0.0484322
 0.02728923 0.01429867 0.00797219 0.00640577 0.00756081 0.01038058]
		Model Seed: 14 Seed: 2 OOD calibration errors: [0.47258503 0.31985235 0.20789009 0.13078428 0.07779208 0.04387113
 0.02218897 0.00979827 0.00389345 0.00293532 0.00591108 0.01183699]
	Model Seed: 14 ID mean of (MSE, MAE): [619.09106   15.790503]
	Model Seed: 14 OOD mean of (MSE, MAE): [693.427     16.735065]
	Model Seed: 14 ID median of (MSE, MAE): [180.16298   11.340204]
	Model Seed: 14 OOD median of (MSE, MAE): [207.80286  12.14011]
	Model Seed: 14 ID likelihoods: -10.133049830586234
	Model Seed: 14 OOD likelihoods: -10.188648725696883
	Model Seed: 14 ID calibration errors: [0.46230314 0.31020505 0.20280489 0.12814901 0.07822684 0.04614797
 0.02524228 0.01252304 0.00609192 0.00413955 0.00538828 0.00863502]
	Model Seed: 14 OOD calibration errors: [0.47364205 0.32141555 0.20927717 0.1311179  0.07929162 0.04587604
 0.02501509 0.01346666 0.00807827 0.00748222 0.01050817 0.01638275]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 15 Seed: 1 ID mean of (MSE, MAE): [615.1779    15.722174]
		Model Seed: 15 Seed: 1 OOD mean of (MSE, MAE) stats: [737.35925   17.212505]
		Model Seed: 15 Seed: 1 ID median of (MSE, MAE): [177.00348   11.210497]
		Model Seed: 15 Seed: 1 OOD median of (MSE, MAE) stats: [219.66377   12.469933]
		Model Seed: 15 Seed: 1 ID likelihoods: -10.129894889839292
		Model Seed: 15 Seed: 1 OOD likelihoods: -10.220473870135823
		Model Seed: 15 Seed: 1 ID calibration errors: [0.46450269 0.31018541 0.20271939 0.12797122 0.07736933 0.04477543
 0.02361438 0.01109752 0.00444341 0.00198832 0.00336475 0.00692893]
		Model Seed: 15 Seed: 1 OOD calibration errors: [0.47721394 0.32496457 0.21188186 0.13290589 0.08106531 0.04832304
 0.02763362 0.01700745 0.01222195 0.01194772 0.01488124 0.02116044]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 15 Seed: 2 ID mean of (MSE, MAE): [623.2956    15.824123]
		Model Seed: 15 Seed: 2 OOD mean of (MSE, MAE) stats: [648.52875   16.203802]
		Model Seed: 15 Seed: 2 ID median of (MSE, MAE): [181.68529   11.367795]
		Model Seed: 15 Seed: 2 OOD median of (MSE, MAE) stats: [193.825     11.701793]
		Model Seed: 15 Seed: 2 ID likelihoods: -10.136452054667915
		Model Seed: 15 Seed: 2 OOD likelihoods: -10.15629061694379
		Model Seed: 15 Seed: 2 ID calibration errors: [0.46843395 0.31552478 0.20580796 0.13043273 0.08045747 0.04838269
 0.02743557 0.01461361 0.007599   0.00605135 0.00723546 0.01009561]
		Model Seed: 15 Seed: 2 OOD calibration errors: [0.47605149 0.32162672 0.20884887 0.13130129 0.07866009 0.04410604
 0.02279283 0.0100203  0.00388034 0.00289202 0.00583385 0.01224028]
	Model Seed: 15 ID mean of (MSE, MAE): [619.23676   15.773149]
	Model Seed: 15 OOD mean of (MSE, MAE): [692.944     16.708153]
	Model Seed: 15 ID median of (MSE, MAE): [179.34439   11.289146]
	Model Seed: 15 OOD median of (MSE, MAE): [206.74438   12.085863]
	Model Seed: 15 ID likelihoods: -10.133173472253603
	Model Seed: 15 OOD likelihoods: -10.188382243539806
	Model Seed: 15 ID calibration errors: [0.46646832 0.3128551  0.20426368 0.12920198 0.0789134  0.04657906
 0.02552498 0.01285556 0.0060212  0.00401984 0.0053001  0.00851227]
	Model Seed: 15 OOD calibration errors: [0.47663271 0.32329565 0.21036536 0.13210359 0.0798627  0.04621454
 0.02521322 0.01351388 0.00805114 0.00741987 0.01035755 0.01670036]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 16 Seed: 1 ID mean of (MSE, MAE): [616.08154   15.747077]
		Model Seed: 16 Seed: 1 OOD mean of (MSE, MAE) stats: [737.5688    17.227306]
		Model Seed: 16 Seed: 1 ID median of (MSE, MAE): [178.53053   11.269064]
		Model Seed: 16 Seed: 1 OOD median of (MSE, MAE) stats: [220.72408   12.508011]
		Model Seed: 16 Seed: 1 ID likelihoods: -10.130625027817814
		Model Seed: 16 Seed: 1 OOD likelihoods: -10.220620527179793
		Model Seed: 16 Seed: 1 ID calibration errors: [0.46341259 0.30892141 0.20100536 0.12658483 0.07636738 0.04445178
 0.02368413 0.01102878 0.0044017  0.00202742 0.00322804 0.00691648]
		Model Seed: 16 Seed: 1 OOD calibration errors: [0.47599624 0.32275104 0.21077708 0.13133273 0.08022289 0.04771641
 0.02772195 0.01698917 0.01208339 0.01202146 0.01509708 0.02139338]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 16 Seed: 2 ID mean of (MSE, MAE): [623.5019    15.828472]
		Model Seed: 16 Seed: 2 OOD mean of (MSE, MAE) stats: [648.55554   16.227371]
		Model Seed: 16 Seed: 2 ID median of (MSE, MAE): [181.13817   11.371891]
		Model Seed: 16 Seed: 2 OOD median of (MSE, MAE) stats: [194.84209   11.778721]
		Model Seed: 16 Seed: 2 ID likelihoods: -10.136614677803014
		Model Seed: 16 Seed: 2 OOD likelihoods: -10.156310803874774
		Model Seed: 16 Seed: 2 ID calibration errors: [0.46278327 0.31252147 0.2050531  0.12963432 0.08038966 0.04842895
 0.02777476 0.0148486  0.0084386  0.00684834 0.00803516 0.01064908]
		Model Seed: 16 Seed: 2 OOD calibration errors: [0.47107734 0.31962608 0.20669896 0.12971208 0.0782482  0.04358874
 0.0220994  0.00969631 0.00387039 0.0030392  0.00609642 0.01210864]
	Model Seed: 16 ID mean of (MSE, MAE): [619.79175   15.787775]
	Model Seed: 16 OOD mean of (MSE, MAE): [693.06213   16.727339]
	Model Seed: 16 ID median of (MSE, MAE): [179.83435    11.3204775]
	Model Seed: 16 OOD median of (MSE, MAE): [207.78308   12.143366]
	Model Seed: 16 ID likelihoods: -10.133619852810414
	Model Seed: 16 OOD likelihoods: -10.188465665527284
	Model Seed: 16 ID calibration errors: [0.46309793 0.31072144 0.20302923 0.12810957 0.07837852 0.04644036
 0.02572945 0.01293869 0.00642015 0.00443788 0.0056316  0.00878278]
	Model Seed: 16 OOD calibration errors: [0.47353679 0.32118856 0.20873802 0.1305224  0.07923554 0.04565257
 0.02491068 0.01334274 0.00797689 0.00753033 0.01059675 0.01675101]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 17 Seed: 1 ID mean of (MSE, MAE): [613.93005   15.725944]
		Model Seed: 17 Seed: 1 OOD mean of (MSE, MAE) stats: [739.55273   17.247034]
		Model Seed: 17 Seed: 1 ID median of (MSE, MAE): [176.81897    11.2151985]
		Model Seed: 17 Seed: 1 OOD median of (MSE, MAE) stats: [220.53322   12.492734]
		Model Seed: 17 Seed: 1 ID likelihoods: -10.128880128101926
		Model Seed: 17 Seed: 1 OOD likelihoods: -10.221965908819008
		Model Seed: 17 Seed: 1 ID calibration errors: [0.46045979 0.30757368 0.19938939 0.12652282 0.07603877 0.04380557
 0.02312884 0.01098398 0.00431226 0.00201976 0.00328976 0.00689755]
		Model Seed: 17 Seed: 1 OOD calibration errors: [0.47505426 0.32310278 0.2104863  0.13220637 0.08095178 0.04804605
 0.02795864 0.01710675 0.01225497 0.01197274 0.01506697 0.02126575]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 17 Seed: 2 ID mean of (MSE, MAE): [622.8467    15.802565]
		Model Seed: 17 Seed: 2 OOD mean of (MSE, MAE) stats: [646.29193  16.1722 ]
		Model Seed: 17 Seed: 2 ID median of (MSE, MAE): [181.67744  11.35136]
		Model Seed: 17 Seed: 2 OOD median of (MSE, MAE) stats: [191.95348   11.659405]
		Model Seed: 17 Seed: 2 ID likelihoods: -10.136086718566217
		Model Seed: 17 Seed: 2 OOD likelihoods: -10.154565981298488
		Model Seed: 17 Seed: 2 ID calibration errors: [0.46356116 0.31104986 0.2030013  0.12918794 0.07946395 0.04687429
 0.02614014 0.01331529 0.00679121 0.0051812  0.0064425  0.00946171]
		Model Seed: 17 Seed: 2 OOD calibration errors: [0.47294858 0.32108407 0.20763819 0.13129834 0.07895646 0.04421996
 0.02265465 0.01036729 0.0043267  0.00336751 0.00636011 0.01271919]
	Model Seed: 17 ID mean of (MSE, MAE): [618.38837   15.764254]
	Model Seed: 17 OOD mean of (MSE, MAE): [692.92236   16.709618]
	Model Seed: 17 ID median of (MSE, MAE): [179.2482    11.283279]
	Model Seed: 17 OOD median of (MSE, MAE): [206.24335   12.076069]
	Model Seed: 17 ID likelihoods: -10.132483423334072
	Model Seed: 17 OOD likelihoods: -10.188265945058749
	Model Seed: 17 ID calibration errors: [0.46201048 0.30931177 0.20119535 0.12785538 0.07775136 0.04533993
 0.02463449 0.01214964 0.00555174 0.00360048 0.00486613 0.00817963]
	Model Seed: 17 OOD calibration errors: [0.47400142 0.32209342 0.20906224 0.13175236 0.07995412 0.04613301
 0.02530665 0.01373702 0.00829084 0.00767013 0.01071354 0.01699247]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 18 Seed: 1 ID mean of (MSE, MAE): [613.5113    15.722054]
		Model Seed: 18 Seed: 1 OOD mean of (MSE, MAE) stats: [739.8528   17.27802]
		Model Seed: 18 Seed: 1 ID median of (MSE, MAE): [177.78342   11.257345]
		Model Seed: 18 Seed: 1 OOD median of (MSE, MAE) stats: [221.00903   12.517827]
		Model Seed: 18 Seed: 1 ID likelihoods: -10.128536275962988
		Model Seed: 18 Seed: 1 OOD likelihoods: -10.222164310592007
		Model Seed: 18 Seed: 1 ID calibration errors: [0.46345846 0.30826556 0.20025118 0.12609992 0.0763126  0.0441593
 0.0231672  0.01100549 0.00424452 0.00191557 0.00317065 0.00694587]
		Model Seed: 18 Seed: 1 OOD calibration errors: [0.4799106  0.3245409  0.21212099 0.13302803 0.08275651 0.05028164
 0.03028798 0.02014537 0.01583282 0.01583704 0.01909264 0.02552468]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 18 Seed: 2 ID mean of (MSE, MAE): [624.2231    15.828484]
		Model Seed: 18 Seed: 2 OOD mean of (MSE, MAE) stats: [649.3509    16.229002]
		Model Seed: 18 Seed: 2 ID median of (MSE, MAE): [182.14539   11.402856]
		Model Seed: 18 Seed: 2 OOD median of (MSE, MAE) stats: [194.00606   11.754029]
		Model Seed: 18 Seed: 2 ID likelihoods: -10.137188478229444
		Model Seed: 18 Seed: 2 OOD likelihoods: -10.156926701540502
		Model Seed: 18 Seed: 2 ID calibration errors: [0.46380661 0.31199978 0.20362917 0.12904097 0.07915498 0.04726808
 0.02609001 0.01339695 0.00705769 0.00546873 0.00670388 0.00969763]
		Model Seed: 18 Seed: 2 OOD calibration errors: [0.47277513 0.3201165  0.20830616 0.13038006 0.07795846 0.04424673
 0.02240433 0.00983967 0.00419392 0.00323747 0.00607918 0.01228342]
	Model Seed: 18 ID mean of (MSE, MAE): [618.8672    15.775269]
	Model Seed: 18 OOD mean of (MSE, MAE): [694.6018    16.753511]
	Model Seed: 18 ID median of (MSE, MAE): [179.9644    11.330101]
	Model Seed: 18 OOD median of (MSE, MAE): [207.50754   12.135928]
	Model Seed: 18 ID likelihoods: -10.132862377096217
	Model Seed: 18 OOD likelihoods: -10.189545506066255
	Model Seed: 18 ID calibration errors: [0.46363254 0.31013267 0.20194017 0.12757045 0.07773379 0.04571369
 0.0246286  0.01220122 0.00565111 0.00369215 0.00493727 0.00832175]
	Model Seed: 18 OOD calibration errors: [0.47634287 0.3223287  0.21021357 0.13170404 0.08035748 0.04726419
 0.02634615 0.01499252 0.01001337 0.00953725 0.01258591 0.01890405]
	Train: 425413 (68.73%)
	Val: 56593 (9.14%)
	Test: 72022 (11.64%)
	Test OOD: 64922 (10.49%)
	No scaling applied
		Model Seed: 19 Seed: 1 ID mean of (MSE, MAE): [613.6558    15.687748]
		Model Seed: 19 Seed: 1 OOD mean of (MSE, MAE) stats: [738.43286   17.229496]
		Model Seed: 19 Seed: 1 ID median of (MSE, MAE): [176.08621   11.165358]
		Model Seed: 19 Seed: 1 OOD median of (MSE, MAE) stats: [220.54778   12.480338]
		Model Seed: 19 Seed: 1 ID likelihoods: -10.128654898102493
		Model Seed: 19 Seed: 1 OOD likelihoods: -10.221200939721571
		Model Seed: 19 Seed: 1 ID calibration errors: [0.46328156 0.3093919  0.20170447 0.12751153 0.07751302 0.04511153
 0.02381468 0.01139084 0.00448238 0.00199222 0.00316237 0.00675058]
		Model Seed: 19 Seed: 1 OOD calibration errors: [0.47643568 0.32450111 0.21228228 0.13281897 0.08164657 0.04869309
 0.02849075 0.0174059  0.01282848 0.01244404 0.01536047 0.02161937]
	Train: 429990 (69.47%)
	Val: 56876 (9.19%)
	Test: 72378 (11.69%)
	Test OOD: 59706 (9.65%)
	No scaling applied
		Model Seed: 19 Seed: 2 ID mean of (MSE, MAE): [625.3526    15.857502]
		Model Seed: 19 Seed: 2 OOD mean of (MSE, MAE) stats: [649.52356   16.248484]
		Model Seed: 19 Seed: 2 ID median of (MSE, MAE): [182.89235   11.419347]
		Model Seed: 19 Seed: 2 OOD median of (MSE, MAE) stats: [194.95575   11.784652]
		Model Seed: 19 Seed: 2 ID likelihoods: -10.13809870103475
		Model Seed: 19 Seed: 2 OOD likelihoods: -10.157058557474139
		Model Seed: 19 Seed: 2 ID calibration errors: [0.46393708 0.31230905 0.20415002 0.12899439 0.07930443 0.04688391
 0.02619866 0.01353626 0.00693485 0.00558801 0.0068761  0.0097301 ]
		Model Seed: 19 Seed: 2 OOD calibration errors: [0.47102232 0.31881426 0.20682373 0.12991315 0.07771331 0.04359166
 0.02226941 0.00967898 0.00412821 0.00323666 0.00628048 0.01235668]
	Model Seed: 19 ID mean of (MSE, MAE): [619.5042    15.772625]
	Model Seed: 19 OOD mean of (MSE, MAE): [693.9782   16.73899]
	Model Seed: 19 ID median of (MSE, MAE): [179.48929   11.292353]
	Model Seed: 19 OOD median of (MSE, MAE): [207.75177   12.132495]
	Model Seed: 19 ID likelihoods: -10.133376799568621
	Model Seed: 19 OOD likelihoods: -10.189129748597855
	Model Seed: 19 ID calibration errors: [0.46360932 0.31085047 0.20292724 0.12825296 0.07840873 0.04599772
 0.02500667 0.01246355 0.00570861 0.00379011 0.00501923 0.00824034]
	Model Seed: 19 OOD calibration errors: [0.473729   0.32165768 0.209553   0.13136606 0.07967994 0.04614238
 0.02538008 0.01354244 0.00847834 0.00784035 0.01082048 0.01698803]
ID mean of (MSE, MAE): [619.2737426757812, 15.77610969543457] +- [0.4285642206668854, 0.010899649001657963] +- [5.011928  0.0577133] 
OOD mean of (MSE, MAE): [693.3255615234375, 16.72762680053711] +- [0.567508339881897, 0.019104987382888794] +- [45.2363145  0.5104188] 
ID median of (MSE, MAE): [179.70816040039062, 11.31242847442627] +- [0.39432182908058167, 0.023905271664261818] +- [2.5483635  0.08758758] 
OOD median of (MSE, MAE): [207.3707733154297, 12.121734619140625] +- [0.9519383907318115, 0.03360682725906372] +- [13.0055745   0.36927965] 
ID likelihoods: -10.13319529815129 +- 0.0003449510331739543 +- 0.004046947432154724 
OOD likelihoods: -10.18862174353147 +- 0.00042095846305150857 +- 0.03266906845483142 
ID calibration errors: [0.4633006369118938, 0.3108526791668481, 0.2028670245707381, 0.12841592378321223, 0.07844574301213539, 0.0463073518689609, 0.025428481892523603, 0.01278384250857611, 0.00616966634759214, 0.004189116728486884, 0.005430067765512378, 0.008604350134226474] +- [0.0011739000880348204, 0.0009264650555977845, 0.0007991583999235781, 0.0005805102243698864, 0.0005055144394452897, 0.0005472832963660785, 0.0005337956251372201, 0.00045682928096585444, 0.00044481021308554646, 0.00042133673873470884, 0.0004149874107269052, 0.00029854252413386056] +- [0.00085516 0.0021787  0.00190204 0.00155443 0.00170501 0.00188623
 0.00192763 0.00170176 0.00179396 0.00221978 0.0021905  0.00175744] 
OOD calibration errors: [0.4744401578006586, 0.32213106737878655, 0.20963297079943985, 0.13144322605910888, 0.07971449031321579, 0.04622806750418884, 0.025341356516747172, 0.013733717350984869, 0.008427397424841467, 0.007842449074778187, 0.010830848827457428, 0.01696415804166224] +- [0.0011450960743716189, 0.0007192061804521298, 0.0007025710101107998, 0.0006876970546561068, 0.0005146182629211477, 0.0005832310298631429, 0.0005646185951819005, 0.000581722378824984, 0.0006593967472094793, 0.0006832106521922671, 0.0006870253761139503, 0.0007904884669055668] +- [0.00207389 0.00203926 0.00210039 0.00108253 0.00161284 0.00244406
 0.00310831 0.00399809 0.00456226 0.00492896 0.00497554 0.00501342] 
