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Loading column definition...
Checking column definition...
Loading data...
Dropping columns / rows...
Checking for NA values...
Setting data types...
Dropping columns / rows...
Encoding data...
	Updated column definition:
		id: REAL_VALUED (ID)
		time: DATE (TIME)
		gl: REAL_VALUED (TARGET)
		time_year: REAL_VALUED (KNOWN_INPUT)
		time_month: REAL_VALUED (KNOWN_INPUT)
		time_day: REAL_VALUED (KNOWN_INPUT)
		time_hour: REAL_VALUED (KNOWN_INPUT)
		time_minute: REAL_VALUED (KNOWN_INPUT)
Interpolating data...
	Dropped segments: 1
	Extracted segments: 8
	Interpolated values: 0
	Percent of values interpolated: 0.00%
Splitting data...
	Train: 3975 (60.09%)
	Val: 1440 (21.77%)
	Test: 2340 (35.37%)
Scaling data...
	No scaling applied
Data formatting complete.
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Current value: 0.09567582607269287, Current params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.374, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 1.0, 'max_depth': 8, 'gamma': 8.0, 'alpha': 0.192, 'lambda_': 0.046, 'n_estimators': 320}
Best value: 0.09567582607269287, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.374, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 1.0, 'max_depth': 8, 'gamma': 8.0, 'alpha': 0.192, 'lambda_': 0.046, 'n_estimators': 320}
Current value: 0.07677525281906128, Current params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.10876595228910446, Current params: {'in_len': 84, 'max_samples_per_ts': 100, 'lr': 0.79, 'subsample': 0.8, 'min_child_weight': 3.0, 'colsample_bytree': 0.8, 'max_depth': 6, 'gamma': 9.5, 'alpha': 0.223, 'lambda_': 0.074, 'n_estimators': 320}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.10524658113718033, Current params: {'in_len': 36, 'max_samples_per_ts': 200, 'lr': 0.996, 'subsample': 1.0, 'min_child_weight': 5.0, 'colsample_bytree': 1.0, 'max_depth': 4, 'gamma': 8.5, 'alpha': 0.022000000000000002, 'lambda_': 0.055, 'n_estimators': 416}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.15561994910240173, Current params: {'in_len': 72, 'max_samples_per_ts': 150, 'lr': 0.017, 'subsample': 0.7, 'min_child_weight': 3.0, 'colsample_bytree': 0.8, 'max_depth': 7, 'gamma': 4.0, 'alpha': 0.252, 'lambda_': 0.223, 'n_estimators': 320}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.09076038748025894, Current params: {'in_len': 144, 'max_samples_per_ts': 150, 'lr': 0.40900000000000003, 'subsample': 0.7, 'min_child_weight': 5.0, 'colsample_bytree': 1.0, 'max_depth': 6, 'gamma': 4.0, 'alpha': 0.198, 'lambda_': 0.009000000000000001, 'n_estimators': 288}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.11225003004074097, Current params: {'in_len': 132, 'max_samples_per_ts': 200, 'lr': 0.996, 'subsample': 0.7, 'min_child_weight': 3.0, 'colsample_bytree': 0.8, 'max_depth': 4, 'gamma': 8.5, 'alpha': 0.013000000000000001, 'lambda_': 0.077, 'n_estimators': 512}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.08658012002706528, Current params: {'in_len': 132, 'max_samples_per_ts': 50, 'lr': 0.433, 'subsample': 0.6, 'min_child_weight': 4.0, 'colsample_bytree': 1.0, 'max_depth': 5, 'gamma': 7.0, 'alpha': 0.010000000000000002, 'lambda_': 0.018000000000000002, 'n_estimators': 480}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.08374711126089096, Current params: {'in_len': 180, 'max_samples_per_ts': 50, 'lr': 0.852, 'subsample': 0.7, 'min_child_weight': 3.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.28200000000000003, 'lambda_': 0.04, 'n_estimators': 480}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.11342976242303848, Current params: {'in_len': 84, 'max_samples_per_ts': 200, 'lr': 0.025, 'subsample': 1.0, 'min_child_weight': 3.0, 'colsample_bytree': 0.9, 'max_depth': 6, 'gamma': 1.0, 'alpha': 0.262, 'lambda_': 0.296, 'n_estimators': 448}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.08147674053907394, Current params: {'in_len': 192, 'max_samples_per_ts': 100, 'lr': 0.624, 'subsample': 0.9, 'min_child_weight': 1.0, 'colsample_bytree': 0.9, 'max_depth': 10, 'gamma': 2.5, 'alpha': 0.112, 'lambda_': 0.167, 'n_estimators': 384}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.08256042748689651, Current params: {'in_len': 192, 'max_samples_per_ts': 100, 'lr': 0.639, 'subsample': 0.9, 'min_child_weight': 1.0, 'colsample_bytree': 0.9, 'max_depth': 10, 'gamma': 2.5, 'alpha': 0.107, 'lambda_': 0.167, 'n_estimators': 384}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.08603059500455856, Current params: {'in_len': 168, 'max_samples_per_ts': 100, 'lr': 0.654, 'subsample': 0.9, 'min_child_weight': 1.0, 'colsample_bytree': 0.9, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.139, 'lambda_': 0.3, 'n_estimators': 384}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.11021413654088974, Current params: {'in_len': 168, 'max_samples_per_ts': 150, 'lr': 0.258, 'subsample': 0.8, 'min_child_weight': 2.0, 'colsample_bytree': 0.9, 'max_depth': 9, 'gamma': 5.5, 'alpha': 0.092, 'lambda_': 0.225, 'n_estimators': 416}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.08240008354187012, Current params: {'in_len': 108, 'max_samples_per_ts': 100, 'lr': 0.587, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.0, 'alpha': 0.074, 'lambda_': 0.14400000000000002, 'n_estimators': 256}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.15160764753818512, Current params: {'in_len': 192, 'max_samples_per_ts': 150, 'lr': 0.241, 'subsample': 1.0, 'min_child_weight': 1.0, 'colsample_bytree': 0.9, 'max_depth': 8, 'gamma': 4.5, 'alpha': 0.154, 'lambda_': 0.243, 'n_estimators': 352}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.07847165316343307, Current params: {'in_len': 156, 'max_samples_per_ts': 50, 'lr': 0.544, 'subsample': 0.8, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 6.0, 'alpha': 0.154, 'lambda_': 0.152, 'n_estimators': 512}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.07755446434020996, Current params: {'in_len': 108, 'max_samples_per_ts': 50, 'lr': 0.508, 'subsample': 0.8, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 8, 'gamma': 6.0, 'alpha': 0.17, 'lambda_': 0.123, 'n_estimators': 512}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.09839793294668198, Current params: {'in_len': 108, 'max_samples_per_ts': 50, 'lr': 0.262, 'subsample': 0.6, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 8, 'gamma': 6.5, 'alpha': 0.191, 'lambda_': 0.11900000000000001, 'n_estimators': 480}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.08680202811956406, Current params: {'in_len': 48, 'max_samples_per_ts': 150, 'lr': 0.753, 'subsample': 0.8, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 7, 'gamma': 5.0, 'alpha': 0.227, 'lambda_': 0.11800000000000001, 'n_estimators': 448}
Best value: 0.07677525281906128, Best params: {'in_len': 144, 'max_samples_per_ts': 200, 'lr': 0.495, 'subsample': 0.9, 'min_child_weight': 2.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.20900000000000002, 'lambda_': 0.279, 'n_estimators': 512}
Current value: 0.07599148899316788, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'lr': 0.506, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 8, 'gamma': 3.5, 'alpha': 0.297, 'lambda_': 0.197, 'n_estimators': 512}
Best value: 0.07599148899316788, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'lr': 0.506, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 8, 'gamma': 3.5, 'alpha': 0.297, 'lambda_': 0.197, 'n_estimators': 512}
Current value: 0.07684425264596939, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'lr': 0.48000000000000004, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 8, 'gamma': 3.5, 'alpha': 0.297, 'lambda_': 0.268, 'n_estimators': 512}
Best value: 0.07599148899316788, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'lr': 0.506, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 8, 'gamma': 3.5, 'alpha': 0.297, 'lambda_': 0.197, 'n_estimators': 512}
Current value: 0.07672693580389023, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'lr': 0.315, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 3.5, 'alpha': 0.295, 'lambda_': 0.264, 'n_estimators': 512}
Best value: 0.07599148899316788, Best params: {'in_len': 120, 'max_samples_per_ts': 50, 'lr': 0.506, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 8, 'gamma': 3.5, 'alpha': 0.297, 'lambda_': 0.197, 'n_estimators': 512}
Current value: 0.07355201989412308, Current params: {'in_len': 132, 'max_samples_per_ts': 50, 'lr': 0.334, 'subsample': 1.0, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 3.5, 'alpha': 0.266, 'lambda_': 0.195, 'n_estimators': 448}
Best value: 0.07355201989412308, Best params: {'in_len': 132, 'max_samples_per_ts': 50, 'lr': 0.334, 'subsample': 1.0, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 3.5, 'alpha': 0.266, 'lambda_': 0.195, 'n_estimators': 448}
Current value: 0.09547054767608643, Current params: {'in_len': 84, 'max_samples_per_ts': 50, 'lr': 0.15, 'subsample': 1.0, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 3.5, 'alpha': 0.258, 'lambda_': 0.196, 'n_estimators': 448}
Best value: 0.07355201989412308, Best params: {'in_len': 132, 'max_samples_per_ts': 50, 'lr': 0.334, 'subsample': 1.0, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 3.5, 'alpha': 0.266, 'lambda_': 0.195, 'n_estimators': 448}
Current value: 0.07780089229345322, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'lr': 0.343, 'subsample': 1.0, 'min_child_weight': 5.0, 'colsample_bytree': 0.9, 'max_depth': 7, 'gamma': 3.5, 'alpha': 0.3, 'lambda_': 0.195, 'n_estimators': 480}
Best value: 0.07355201989412308, Best params: {'in_len': 132, 'max_samples_per_ts': 50, 'lr': 0.334, 'subsample': 1.0, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 3.5, 'alpha': 0.266, 'lambda_': 0.195, 'n_estimators': 448}
Current value: 0.11838444322347641, Current params: {'in_len': 96, 'max_samples_per_ts': 100, 'lr': 0.132, 'subsample': 1.0, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 1.5, 'alpha': 0.274, 'lambda_': 0.25, 'n_estimators': 416}
Best value: 0.07355201989412308, Best params: {'in_len': 132, 'max_samples_per_ts': 50, 'lr': 0.334, 'subsample': 1.0, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 3.5, 'alpha': 0.266, 'lambda_': 0.195, 'n_estimators': 448}
Current value: 0.08382765203714371, Current params: {'in_len': 60, 'max_samples_per_ts': 50, 'lr': 0.306, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 8, 'gamma': 5.0, 'alpha': 0.249, 'lambda_': 0.20700000000000002, 'n_estimators': 448}
Best value: 0.07355201989412308, Best params: {'in_len': 132, 'max_samples_per_ts': 50, 'lr': 0.334, 'subsample': 1.0, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 3.5, 'alpha': 0.266, 'lambda_': 0.195, 'n_estimators': 448}
Current value: 0.0905110165476799, Current params: {'in_len': 120, 'max_samples_per_ts': 50, 'lr': 0.193, 'subsample': 1.0, 'min_child_weight': 5.0, 'colsample_bytree': 0.9, 'max_depth': 9, 'gamma': 3.0, 'alpha': 0.241, 'lambda_': 0.179, 'n_estimators': 480}
Best value: 0.07355201989412308, Best params: {'in_len': 132, 'max_samples_per_ts': 50, 'lr': 0.334, 'subsample': 1.0, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 3.5, 'alpha': 0.266, 'lambda_': 0.195, 'n_estimators': 448}
Current value: 0.08237012475728989, Current params: {'in_len': 132, 'max_samples_per_ts': 100, 'lr': 0.386, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 7, 'gamma': 4.5, 'alpha': 0.277, 'lambda_': 0.232, 'n_estimators': 480}
Best value: 0.07355201989412308, Best params: {'in_len': 132, 'max_samples_per_ts': 50, 'lr': 0.334, 'subsample': 1.0, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 3.5, 'alpha': 0.266, 'lambda_': 0.195, 'n_estimators': 448}
Current value: 0.08155053853988647, Current params: {'in_len': 156, 'max_samples_per_ts': 50, 'lr': 0.343, 'subsample': 1.0, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 8, 'gamma': 1.0, 'alpha': 0.299, 'lambda_': 0.265, 'n_estimators': 448}
Best value: 0.07355201989412308, Best params: {'in_len': 132, 'max_samples_per_ts': 50, 'lr': 0.334, 'subsample': 1.0, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 3.5, 'alpha': 0.266, 'lambda_': 0.195, 'n_estimators': 448}
Current value: 0.0729280337691307, Current params: {'in_len': 144, 'max_samples_per_ts': 50, 'lr': 0.465, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.0, 'alpha': 0.222, 'lambda_': 0.266, 'n_estimators': 512}
Best value: 0.0729280337691307, Best params: {'in_len': 144, 'max_samples_per_ts': 50, 'lr': 0.465, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.0, 'alpha': 0.222, 'lambda_': 0.266, 'n_estimators': 512}
Current value: 0.07300670444965363, Current params: {'in_len': 156, 'max_samples_per_ts': 50, 'lr': 0.449, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 1.5, 'alpha': 0.231, 'lambda_': 0.261, 'n_estimators': 512}
Best value: 0.0729280337691307, Best params: {'in_len': 144, 'max_samples_per_ts': 50, 'lr': 0.465, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.0, 'alpha': 0.222, 'lambda_': 0.266, 'n_estimators': 512}
Current value: 0.07936758548021317, Current params: {'in_len': 156, 'max_samples_per_ts': 50, 'lr': 0.48000000000000004, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 2.0, 'alpha': 0.219, 'lambda_': 0.212, 'n_estimators': 512}
Best value: 0.0729280337691307, Best params: {'in_len': 144, 'max_samples_per_ts': 50, 'lr': 0.465, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.0, 'alpha': 0.222, 'lambda_': 0.266, 'n_estimators': 512}
Current value: 0.079580157995224, Current params: {'in_len': 144, 'max_samples_per_ts': 100, 'lr': 0.442, 'subsample': 0.9, 'min_child_weight': 3.0, 'colsample_bytree': 0.8, 'max_depth': 8, 'gamma': 1.5, 'alpha': 0.231, 'lambda_': 0.25, 'n_estimators': 480}
Best value: 0.0729280337691307, Best params: {'in_len': 144, 'max_samples_per_ts': 50, 'lr': 0.465, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.0, 'alpha': 0.222, 'lambda_': 0.266, 'n_estimators': 512}
Current value: 0.07295554131269455, Current params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.558, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 0.5, 'alpha': 0.203, 'lambda_': 0.274, 'n_estimators': 512}
Best value: 0.0729280337691307, Best params: {'in_len': 144, 'max_samples_per_ts': 50, 'lr': 0.465, 'subsample': 0.9, 'min_child_weight': 4.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.0, 'alpha': 0.222, 'lambda_': 0.266, 'n_estimators': 512}
Current value: 0.07210391014814377, Current params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Current value: 0.07468707859516144, Current params: {'in_len': 168, 'max_samples_per_ts': 100, 'lr': 0.714, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.188, 'lambda_': 0.281, 'n_estimators': 352}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Current value: 0.07822486758232117, Current params: {'in_len': 180, 'max_samples_per_ts': 50, 'lr': 0.81, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 1.0, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.20500000000000002, 'lambda_': 0.28700000000000003, 'n_estimators': 416}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Current value: 0.07970649749040604, Current params: {'in_len': 180, 'max_samples_per_ts': 50, 'lr': 0.579, 'subsample': 0.7, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 1.5, 'alpha': 0.177, 'lambda_': 0.273, 'n_estimators': 352}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Current value: 0.092769093811512, Current params: {'in_len': 144, 'max_samples_per_ts': 100, 'lr': 0.6960000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.9, 'max_depth': 5, 'gamma': 1.0, 'alpha': 0.212, 'lambda_': 0.242, 'n_estimators': 288}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Current value: 0.0866662785410881, Current params: {'in_len': 144, 'max_samples_per_ts': 50, 'lr': 0.894, 'subsample': 0.8, 'min_child_weight': 3.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 2.0, 'alpha': 0.23800000000000002, 'lambda_': 0.259, 'n_estimators': 416}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Current value: 0.07348161190748215, Current params: {'in_len': 156, 'max_samples_per_ts': 50, 'lr': 0.427, 'subsample': 0.7, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 1.0, 'alpha': 0.213, 'lambda_': 0.28400000000000003, 'n_estimators': 480}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Current value: 0.07543093711137772, Current params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.425, 'subsample': 0.7, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 1.0, 'alpha': 0.17300000000000001, 'lambda_': 0.28800000000000003, 'n_estimators': 512}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Current value: 0.07598277926445007, Current params: {'in_len': 156, 'max_samples_per_ts': 50, 'lr': 0.579, 'subsample': 0.7, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 0.5, 'alpha': 0.199, 'lambda_': 0.277, 'n_estimators': 480}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Current value: 0.0787537470459938, Current params: {'in_len': 180, 'max_samples_per_ts': 50, 'lr': 0.537, 'subsample': 0.6, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 1.5, 'alpha': 0.213, 'lambda_': 0.3, 'n_estimators': 512}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Current value: 0.08180079609155655, Current params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.456, 'subsample': 0.7, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 9, 'gamma': 10.0, 'alpha': 0.137, 'lambda_': 0.229, 'n_estimators': 480}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Current value: 0.08762696385383606, Current params: {'in_len': 156, 'max_samples_per_ts': 100, 'lr': 0.684, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 1.0, 'alpha': 0.047, 'lambda_': 0.257, 'n_estimators': 512}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Current value: 0.0748617872595787, Current params: {'in_len': 132, 'max_samples_per_ts': 200, 'lr': 0.395, 'subsample': 0.7, 'min_child_weight': 3.0, 'colsample_bytree': 0.9, 'max_depth': 9, 'gamma': 2.5, 'alpha': 0.245, 'lambda_': 0.28700000000000003, 'n_estimators': 480}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
Current value: 0.0747818648815155, Current params: {'in_len': 192, 'max_samples_per_ts': 50, 'lr': 0.609, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 1.0, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.183, 'lambda_': 0.243, 'n_estimators': 512}
Best value: 0.07210391014814377, Best params: {'in_len': 168, 'max_samples_per_ts': 50, 'lr': 0.6910000000000001, 'subsample': 0.8, 'min_child_weight': 5.0, 'colsample_bytree': 0.8, 'max_depth': 10, 'gamma': 0.5, 'alpha': 0.201, 'lambda_': 0.279, 'n_estimators': 416}
--------------------------------
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)
		fast_insulin: REAL_VALUED (OBSERVED_INPUT)
		slow_insulin: REAL_VALUED (OBSERVED_INPUT)
		calories: REAL_VALUED (OBSERVED_INPUT)
		balance: REAL_VALUED (OBSERVED_INPUT)
		quality: REAL_VALUED (OBSERVED_INPUT)
		HR: REAL_VALUED (OBSERVED_INPUT)
		BR: REAL_VALUED (OBSERVED_INPUT)
		Posture: REAL_VALUED (OBSERVED_INPUT)
		Activity: REAL_VALUED (OBSERVED_INPUT)
		HRV: REAL_VALUED (OBSERVED_INPUT)
		CoreTemp: REAL_VALUED (OBSERVED_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: 1
	Extracted segments: 8
	Interpolated values: 0
	Percent of values interpolated: 0.00%
Splitting data...
	Train: 4654 (47.17%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1140 (11.55%)
Scaling data...
	No scaling applied
Data formatting complete.
--------------------------------
	Train: 4654 (47.17%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1140 (11.55%)
	No scaling applied
		Model Seed: 10 Seed: 1 ID mean of (MSE, MAE): [1494.6864     25.936485]
		Model Seed: 10 Seed: 1 OOD mean of (MSE, MAE) stats: [808.0352    20.869034]
		Model Seed: 10 Seed: 1 ID median of (MSE, MAE): [487.3474    19.326843]
		Model Seed: 10 Seed: 1 OOD median of (MSE, MAE) stats: [352.0138    16.567656]
		Model Seed: 10 Seed: 1 ID likelihoods: -10.573774260125015
		Model Seed: 10 Seed: 1 OOD likelihoods: -10.266241354864782
		Model Seed: 10 Seed: 1 ID calibration errors: [0.2186439  0.18208912 0.11540316 0.09880401 0.05592207 0.04187886
 0.02286844 0.0204186  0.01152585 0.01190201 0.01272184 0.01038773]
		Model Seed: 10 Seed: 1 OOD calibration errors: [0.23110268 0.21016877 0.09151081 0.06581403 0.01458274 0.0075074
 0.00291493 0.0047081  0.00870015 0.01222971 0.01728468 0.03551665]
	Train: 4514 (45.75%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1280 (12.97%)
	No scaling applied
		Model Seed: 10 Seed: 2 ID mean of (MSE, MAE): [1428.6089    25.79265]
		Model Seed: 10 Seed: 2 OOD mean of (MSE, MAE) stats: [643.2692    17.478752]
		Model Seed: 10 Seed: 2 ID median of (MSE, MAE): [373.52863   18.283543]
		Model Seed: 10 Seed: 2 OOD median of (MSE, MAE) stats: [238.71378   13.843586]
		Model Seed: 10 Seed: 2 ID likelihoods: -10.551166583950806
		Model Seed: 10 Seed: 2 OOD likelihoods: -10.152220250484184
		Model Seed: 10 Seed: 2 ID calibration errors: [0.22890625 0.20226659 0.10300926 0.08803048 0.04837963 0.0359375
 0.01696566 0.0148534  0.00985725 0.00920139 0.01465085 0.01270255]
		Model Seed: 10 Seed: 2 OOD calibration errors: [0.23101852 0.21280864 0.11030864 0.11722222 0.06910494 0.07089506
 0.04932099 0.04157407 0.0412037  0.03916667 0.05018519 0.03993827]
	Model Seed: 10 ID mean of (MSE, MAE): [1461.6477     25.864567]
	Model Seed: 10 OOD mean of (MSE, MAE): [725.6522    19.173893]
	Model Seed: 10 ID median of (MSE, MAE): [430.43802   18.805193]
	Model Seed: 10 OOD median of (MSE, MAE): [295.36377   15.205621]
	Model Seed: 10 ID likelihoods: -10.562470422037912
	Model Seed: 10 OOD likelihoods: -10.209230802674483
	Model Seed: 10 ID calibration errors: [0.22377508 0.19217785 0.10920621 0.09341725 0.05215085 0.03890818
 0.01991705 0.017636   0.01069155 0.0105517  0.01368634 0.01154514]
	Model Seed: 10 OOD calibration errors: [0.2310606  0.21148871 0.10090973 0.09151813 0.04184384 0.03920123
 0.02611796 0.02314109 0.02495193 0.02569819 0.03373493 0.03772746]
	Train: 4654 (47.17%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1140 (11.55%)
	No scaling applied
		Model Seed: 11 Seed: 1 ID mean of (MSE, MAE): [1500.5374     26.004955]
		Model Seed: 11 Seed: 1 OOD mean of (MSE, MAE) stats: [798.15045   20.674929]
		Model Seed: 11 Seed: 1 ID median of (MSE, MAE): [505.9809    19.572224]
		Model Seed: 11 Seed: 1 OOD median of (MSE, MAE) stats: [403.6603    17.274427]
		Model Seed: 11 Seed: 1 ID likelihoods: -10.57572777183729
		Model Seed: 11 Seed: 1 OOD likelihoods: -10.260087014530992
		Model Seed: 11 Seed: 1 ID calibration errors: [0.22459491 0.18530093 0.10752315 0.08921682 0.04783951 0.04347029
 0.01853781 0.00984761 0.00950039 0.0074267  0.00741705 0.00583526]
		Model Seed: 11 Seed: 1 OOD calibration errors: [0.23235223 0.21873707 0.0962818  0.07487728 0.02166619 0.01386872
 0.00814029 0.01162928 0.01482616 0.02113067 0.03166254 0.03952493]
	Train: 4514 (45.75%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1280 (12.97%)
	No scaling applied
		Model Seed: 11 Seed: 2 ID mean of (MSE, MAE): [1598.881      27.068443]
		Model Seed: 11 Seed: 2 OOD mean of (MSE, MAE) stats: [697.5046    18.646482]
		Model Seed: 11 Seed: 2 ID median of (MSE, MAE): [491.1969   19.54919]
		Model Seed: 11 Seed: 2 OOD median of (MSE, MAE) stats: [273.44775   15.118351]
		Model Seed: 11 Seed: 2 ID likelihoods: -10.60746820985149
		Model Seed: 11 Seed: 2 OOD likelihoods: -10.192693027749163
		Model Seed: 11 Seed: 2 ID calibration errors: [0.20078125 0.16135224 0.10789931 0.09456983 0.06050347 0.05724344
 0.03004437 0.02625386 0.02805748 0.02094907 0.03221451 0.03338156]
		Model Seed: 11 Seed: 2 OOD calibration errors: [0.18506173 0.16475309 0.07694444 0.07222222 0.0462963  0.04462963
 0.00891975 0.00972222 0.00756173 0.01104938 0.01947531 0.0187963 ]
	Model Seed: 11 ID mean of (MSE, MAE): [1549.7092   26.5367]
	Model Seed: 11 OOD mean of (MSE, MAE): [747.8275    19.660706]
	Model Seed: 11 ID median of (MSE, MAE): [498.5889    19.560707]
	Model Seed: 11 OOD median of (MSE, MAE): [338.55402   16.196388]
	Model Seed: 11 ID likelihoods: -10.59159799084439
	Model Seed: 11 OOD likelihoods: -10.226390021140077
	Model Seed: 11 ID calibration errors: [0.21268808 0.17332658 0.10771123 0.09189333 0.05417149 0.05035687
 0.02429109 0.01805073 0.01877894 0.01418789 0.01981578 0.01960841]
	Model Seed: 11 OOD calibration errors: [0.20870698 0.19174508 0.08661312 0.07354975 0.03398124 0.02924917
 0.00853002 0.01067575 0.01119394 0.01609003 0.02556893 0.02916061]
	Train: 4654 (47.17%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1140 (11.55%)
	No scaling applied
		Model Seed: 12 Seed: 1 ID mean of (MSE, MAE): [1432.3174     25.322874]
		Model Seed: 12 Seed: 1 OOD mean of (MSE, MAE) stats: [817.37915  20.87572]
		Model Seed: 12 Seed: 1 ID median of (MSE, MAE): [423.00015   18.398058]
		Model Seed: 12 Seed: 1 OOD median of (MSE, MAE) stats: [369.53348  16.64725]
		Model Seed: 12 Seed: 1 ID likelihoods: -10.552462884868643
		Model Seed: 12 Seed: 1 OOD likelihoods: -10.271989990320579
		Model Seed: 12 Seed: 1 ID calibration errors: [0.25324074 0.18401813 0.12915702 0.08695988 0.05736883 0.03928434
 0.01897184 0.01582755 0.01021412 0.01037809 0.01088927 0.00816937]
		Model Seed: 12 Seed: 1 OOD calibration errors: [0.32355268 0.19809526 0.11688304 0.05543633 0.02423019 0.00709359
 0.00149499 0.00384803 0.00765345 0.01406345 0.02386507 0.03027506]
	Train: 4514 (45.75%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1280 (12.97%)
	No scaling applied
		Model Seed: 12 Seed: 2 ID mean of (MSE, MAE): [1407.5848     25.777132]
		Model Seed: 12 Seed: 2 OOD mean of (MSE, MAE) stats: [592.3889    16.851368]
		Model Seed: 12 Seed: 2 ID median of (MSE, MAE): [441.56113   19.265236]
		Model Seed: 12 Seed: 2 OOD median of (MSE, MAE) stats: [203.16924   12.545331]
		Model Seed: 12 Seed: 2 ID likelihoods: -10.543753850444421
		Model Seed: 12 Seed: 2 OOD likelihoods: -10.111020322193962
		Model Seed: 12 Seed: 2 ID calibration errors: [0.25473573 0.18430748 0.11210455 0.07882909 0.05       0.03093171
 0.01782407 0.01158372 0.00893133 0.01171875 0.01624228 0.01671489]
		Model Seed: 12 Seed: 2 OOD calibration errors: [0.23506173 0.17935185 0.1182716  0.09234568 0.06910494 0.05932099
 0.03728395 0.04074074 0.03638889 0.03373457 0.04580247 0.04694444]
	Model Seed: 12 ID mean of (MSE, MAE): [1419.9512     25.550003]
	Model Seed: 12 OOD mean of (MSE, MAE): [704.88403   18.863544]
	Model Seed: 12 ID median of (MSE, MAE): [432.28064   18.831646]
	Model Seed: 12 OOD median of (MSE, MAE): [286.35135   14.596291]
	Model Seed: 12 ID likelihoods: -10.548108367656532
	Model Seed: 12 OOD likelihoods: -10.191505156257271
	Model Seed: 12 ID calibration errors: [0.25398823 0.18416281 0.12063079 0.08289448 0.05368441 0.03510802
 0.01839796 0.01370563 0.00957272 0.01104842 0.01356578 0.01244213]
	Model Seed: 12 OOD calibration errors: [0.2793072  0.18872355 0.11757732 0.073891   0.04666757 0.03320729
 0.01938947 0.02229438 0.02202117 0.02389901 0.03483377 0.03860975]
	Train: 4654 (47.17%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1140 (11.55%)
	No scaling applied
		Model Seed: 13 Seed: 1 ID mean of (MSE, MAE): [1430.2312     25.642252]
		Model Seed: 13 Seed: 1 OOD mean of (MSE, MAE) stats: [882.6829   22.33617]
		Model Seed: 13 Seed: 1 ID median of (MSE, MAE): [445.55045  18.69551]
		Model Seed: 13 Seed: 1 OOD median of (MSE, MAE) stats: [449.31198   18.688784]
		Model Seed: 13 Seed: 1 ID likelihoods: -10.55173435589297
		Model Seed: 13 Seed: 1 OOD likelihoods: -10.310421624748946
		Model Seed: 13 Seed: 1 ID calibration errors: [0.19831211 0.18682485 0.08515625 0.08268711 0.03892747 0.04001736
 0.01967593 0.01548997 0.00867091 0.01184414 0.01037809 0.00886381]
		Model Seed: 13 Seed: 1 OOD calibration errors: [0.16903931 0.16562335 0.05624772 0.05179318 0.00853787 0.01795002
 0.0059333  0.01123169 0.01566189 0.02337823 0.03025072 0.03614954]
	Train: 4514 (45.75%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1280 (12.97%)
	No scaling applied
		Model Seed: 13 Seed: 2 ID mean of (MSE, MAE): [1435.1907    25.51843]
		Model Seed: 13 Seed: 2 OOD mean of (MSE, MAE) stats: [736.94183   18.820045]
		Model Seed: 13 Seed: 2 ID median of (MSE, MAE): [504.3158   19.85471]
		Model Seed: 13 Seed: 2 OOD median of (MSE, MAE) stats: [257.6274    14.977526]
		Model Seed: 13 Seed: 2 ID likelihoods: -10.553464774596558
		Model Seed: 13 Seed: 2 OOD likelihoods: -10.220192891837117
		Model Seed: 13 Seed: 2 ID calibration errors: [0.22414159 0.20462963 0.11453511 0.09075039 0.04864969 0.03546489
 0.01989776 0.01251929 0.01061921 0.00782215 0.01032986 0.00892168]
		Model Seed: 13 Seed: 2 OOD calibration errors: [0.18604938 0.18654321 0.09188272 0.09648148 0.0583642  0.06151235
 0.04182099 0.04126543 0.03614198 0.03419753 0.03867284 0.0407716 ]
	Model Seed: 13 ID mean of (MSE, MAE): [1432.7109     25.580341]
	Model Seed: 13 OOD mean of (MSE, MAE): [809.8124    20.578108]
	Model Seed: 13 ID median of (MSE, MAE): [474.9331   19.27511]
	Model Seed: 13 OOD median of (MSE, MAE): [353.4697    16.833155]
	Model Seed: 13 ID likelihoods: -10.552599565244764
	Model Seed: 13 OOD likelihoods: -10.265307258293031
	Model Seed: 13 ID calibration errors: [0.21122685 0.19572724 0.09984568 0.08671875 0.04378858 0.03774113
 0.01978684 0.01400463 0.00964506 0.00983314 0.01035397 0.00889275]
	Model Seed: 13 OOD calibration errors: [0.17754435 0.17608328 0.07406522 0.07413733 0.03345103 0.03973118
 0.02387715 0.02624856 0.02590193 0.02878788 0.03446178 0.03846057]
	Train: 4654 (47.17%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1140 (11.55%)
	No scaling applied
		Model Seed: 14 Seed: 1 ID mean of (MSE, MAE): [1368.0892     24.725199]
		Model Seed: 14 Seed: 1 OOD mean of (MSE, MAE) stats: [822.6582    21.515985]
		Model Seed: 14 Seed: 1 ID median of (MSE, MAE): [409.82748   18.421988]
		Model Seed: 14 Seed: 1 OOD median of (MSE, MAE) stats: [464.79764   19.281597]
		Model Seed: 14 Seed: 1 ID likelihoods: -10.52952369577847
		Model Seed: 14 Seed: 1 OOD likelihoods: -10.275208863196397
		Model Seed: 14 Seed: 1 ID calibration errors: [0.27537616 0.20633681 0.13668981 0.1005787  0.07475887 0.0439429
 0.0227527  0.01712963 0.01352238 0.01635802 0.01730324 0.01486304]
		Model Seed: 14 Seed: 1 OOD calibration errors: [0.25262891 0.16836586 0.11064343 0.06049941 0.02832772 0.01861536
 0.01724411 0.01521563 0.02306179 0.03120816 0.03652278 0.04816625]
	Train: 4514 (45.75%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1280 (12.97%)
	No scaling applied
		Model Seed: 14 Seed: 2 ID mean of (MSE, MAE): [1397.9777     25.181965]
		Model Seed: 14 Seed: 2 OOD mean of (MSE, MAE) stats: [600.65027   16.923782]
		Model Seed: 14 Seed: 2 ID median of (MSE, MAE): [394.39618   18.406494]
		Model Seed: 14 Seed: 2 OOD median of (MSE, MAE) stats: [183.77408   12.454201]
		Model Seed: 14 Seed: 2 ID likelihoods: -10.540329548616782
		Model Seed: 14 Seed: 2 OOD likelihoods: -10.117945008649269
		Model Seed: 14 Seed: 2 ID calibration errors: [0.29015239 0.21167052 0.1428723  0.10387731 0.06405285 0.03482832
 0.02387153 0.01944444 0.01051312 0.01221065 0.01336806 0.01568287]
		Model Seed: 14 Seed: 2 OOD calibration errors: [0.24194444 0.17725309 0.11987654 0.08978395 0.06530864 0.05243827
 0.04651235 0.03777778 0.0320679  0.03055556 0.035      0.04138889]
	Model Seed: 14 ID mean of (MSE, MAE): [1383.0334     24.953583]
	Model Seed: 14 OOD mean of (MSE, MAE): [711.65424   19.219883]
	Model Seed: 14 ID median of (MSE, MAE): [402.11182   18.414242]
	Model Seed: 14 OOD median of (MSE, MAE): [324.28586   15.867899]
	Model Seed: 14 ID likelihoods: -10.534926622197627
	Model Seed: 14 OOD likelihoods: -10.196576935922833
	Model Seed: 14 ID calibration errors: [0.28276427 0.20900367 0.13978106 0.10222801 0.06940586 0.03938561
 0.02331211 0.01828704 0.01201775 0.01428434 0.01533565 0.01527296]
	Model Seed: 14 OOD calibration errors: [0.24728668 0.17280947 0.11525999 0.07514168 0.04681818 0.03552682
 0.03187823 0.0264967  0.02756484 0.03088186 0.03576139 0.04477757]
	Train: 4654 (47.17%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1140 (11.55%)
	No scaling applied
		Model Seed: 15 Seed: 1 ID mean of (MSE, MAE): [1509.392      26.086756]
		Model Seed: 15 Seed: 1 OOD mean of (MSE, MAE) stats: [796.3642   20.68492]
		Model Seed: 15 Seed: 1 ID median of (MSE, MAE): [503.78513   19.541935]
		Model Seed: 15 Seed: 1 OOD median of (MSE, MAE) stats: [403.84616   17.264925]
		Model Seed: 15 Seed: 1 ID likelihoods: -10.578669581951143
		Model Seed: 15 Seed: 1 OOD likelihoods: -10.258966763986232
		Model Seed: 15 Seed: 1 ID calibration errors: [0.22638889 0.18690201 0.10844907 0.08926505 0.04613233 0.04347029
 0.01799769 0.01012731 0.00869985 0.00680941 0.00740741 0.0050733 ]
		Model Seed: 15 Seed: 1 OOD calibration errors: [0.23508662 0.22028683 0.0992596  0.07654874 0.02174733 0.01301676
 0.00790499 0.01103696 0.01545904 0.02059516 0.03166254 0.03811311]
	Train: 4514 (45.75%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1280 (12.97%)
	No scaling applied
		Model Seed: 15 Seed: 2 ID mean of (MSE, MAE): [1472.8192    26.00165]
		Model Seed: 15 Seed: 2 OOD mean of (MSE, MAE) stats: [674.9283    17.542002]
		Model Seed: 15 Seed: 2 ID median of (MSE, MAE): [417.98727   18.828667]
		Model Seed: 15 Seed: 2 OOD median of (MSE, MAE) stats: [215.69786   12.928101]
		Model Seed: 15 Seed: 2 ID likelihoods: -10.566405329584915
		Model Seed: 15 Seed: 2 OOD likelihoods: -10.17624170741108
		Model Seed: 15 Seed: 2 ID calibration errors: [0.22635995 0.20710841 0.11657986 0.09131944 0.05223765 0.04361497
 0.02474923 0.0243152  0.02260802 0.01785301 0.02713156 0.01758295]
		Model Seed: 15 Seed: 2 OOD calibration errors: [0.23209877 0.21345679 0.10854938 0.1254321  0.07592593 0.07354938
 0.05040123 0.04638889 0.04064815 0.04691358 0.05361111 0.04435185]
	Model Seed: 15 ID mean of (MSE, MAE): [1491.1056     26.044203]
	Model Seed: 15 OOD mean of (MSE, MAE): [735.64624  19.11346]
	Model Seed: 15 ID median of (MSE, MAE): [460.8862  19.1853]
	Model Seed: 15 OOD median of (MSE, MAE): [309.772     15.096513]
	Model Seed: 15 ID likelihoods: -10.572537455768028
	Model Seed: 15 OOD likelihoods: -10.217604235698655
	Model Seed: 15 ID calibration errors: [0.22637442 0.19700521 0.11251447 0.09029225 0.04918499 0.04354263
 0.02137346 0.01722126 0.01565394 0.01233121 0.01726948 0.01132813]
	Model Seed: 15 OOD calibration errors: [0.23359269 0.21687181 0.10390449 0.10099042 0.04883663 0.04328307
 0.02915311 0.02871292 0.0280536  0.03375437 0.04263683 0.04123248]
	Train: 4654 (47.17%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1140 (11.55%)
	No scaling applied
		Model Seed: 16 Seed: 1 ID mean of (MSE, MAE): [1317.5165     24.771612]
		Model Seed: 16 Seed: 1 OOD mean of (MSE, MAE) stats: [812.0979    21.346785]
		Model Seed: 16 Seed: 1 ID median of (MSE, MAE): [427.54602   19.192278]
		Model Seed: 16 Seed: 1 OOD median of (MSE, MAE) stats: [402.01675   18.334135]
		Model Seed: 16 Seed: 1 ID likelihoods: -10.510690520101871
		Model Seed: 16 Seed: 1 OOD likelihoods: -10.26874883282867
		Model Seed: 16 Seed: 1 ID calibration errors: [0.25211227 0.18121142 0.10979938 0.07242477 0.0609375  0.02916667
 0.01529707 0.0110436  0.01223958 0.01309799 0.01834491 0.0155189 ]
		Model Seed: 16 Seed: 1 OOD calibration errors: [0.23136233 0.15879955 0.09691468 0.04704653 0.01721977 0.01030671
 0.00735324 0.00754797 0.01574303 0.01981622 0.02402734 0.03786158]
	Train: 4514 (45.75%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1280 (12.97%)
	No scaling applied
		Model Seed: 16 Seed: 2 ID mean of (MSE, MAE): [1324.1301     24.854046]
		Model Seed: 16 Seed: 2 OOD mean of (MSE, MAE) stats: [668.6233    17.399115]
		Model Seed: 16 Seed: 2 ID median of (MSE, MAE): [427.41843   18.983492]
		Model Seed: 16 Seed: 2 OOD median of (MSE, MAE) stats: [192.7724    12.563972]
		Model Seed: 16 Seed: 2 ID likelihoods: -10.513194132826076
		Model Seed: 16 Seed: 2 OOD likelihoods: -10.171548937644545
		Model Seed: 16 Seed: 2 ID calibration errors: [0.26010802 0.18821373 0.12171103 0.08403742 0.05963542 0.03588927
 0.02114198 0.01429398 0.01514275 0.01811343 0.0216821  0.02007137]
		Model Seed: 16 Seed: 2 OOD calibration errors: [0.27490741 0.20549383 0.13598765 0.1066358  0.0917284  0.06756173
 0.05839506 0.0495679  0.04404321 0.04719136 0.04438272 0.0457716 ]
	Model Seed: 16 ID mean of (MSE, MAE): [1320.8232     24.812828]
	Model Seed: 16 OOD mean of (MSE, MAE): [740.3606   19.37295]
	Model Seed: 16 ID median of (MSE, MAE): [427.48224   19.087885]
	Model Seed: 16 OOD median of (MSE, MAE): [297.3946    15.449054]
	Model Seed: 16 ID likelihoods: -10.511942326463974
	Model Seed: 16 OOD likelihoods: -10.220148885236608
	Model Seed: 16 ID calibration errors: [0.25611015 0.18471258 0.11575521 0.0782311  0.06028646 0.03252797
 0.01821952 0.01266879 0.01369117 0.01560571 0.0200135  0.01779514]
	Model Seed: 16 OOD calibration errors: [0.25313487 0.18214669 0.11645117 0.07684117 0.05447408 0.03893422
 0.03287415 0.02855794 0.02989312 0.03350379 0.03420503 0.04181659]
	Train: 4654 (47.17%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1140 (11.55%)
	No scaling applied
		Model Seed: 17 Seed: 1 ID mean of (MSE, MAE): [1356.0582     24.807247]
		Model Seed: 17 Seed: 1 OOD mean of (MSE, MAE) stats: [795.39075   20.723333]
		Model Seed: 17 Seed: 1 ID median of (MSE, MAE): [454.9473    18.952589]
		Model Seed: 17 Seed: 1 OOD median of (MSE, MAE) stats: [394.13986   17.040625]
		Model Seed: 17 Seed: 1 ID likelihoods: -10.525107282334638
		Model Seed: 17 Seed: 1 OOD likelihoods: -10.258355321399588
		Model Seed: 17 Seed: 1 ID calibration errors: [0.23614005 0.17065972 0.10805363 0.07721836 0.04471451 0.03005401
 0.01656057 0.01052276 0.0103588  0.00840085 0.01178627 0.01024306]
		Model Seed: 17 Seed: 1 OOD calibration errors: [0.25782993 0.2165382  0.11753215 0.07120979 0.02609639 0.01275711
 0.01017688 0.01079354 0.01967017 0.0217879  0.02847377 0.04015782]
	Train: 4514 (45.75%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1280 (12.97%)
	No scaling applied
		Model Seed: 17 Seed: 2 ID mean of (MSE, MAE): [1361.7345     25.204922]
		Model Seed: 17 Seed: 2 OOD mean of (MSE, MAE) stats: [648.377     17.106054]
		Model Seed: 17 Seed: 2 ID median of (MSE, MAE): [452.12408   20.008228]
		Model Seed: 17 Seed: 2 OOD median of (MSE, MAE) stats: [184.7026    12.120316]
		Model Seed: 17 Seed: 2 ID likelihoods: -10.527195664557386
		Model Seed: 17 Seed: 2 OOD likelihoods: -10.1561747027751
		Model Seed: 17 Seed: 2 ID calibration errors: [0.30286458 0.19897762 0.13493441 0.09761767 0.05455247 0.03449074
 0.02468171 0.01908758 0.0131848  0.01236497 0.01478588 0.01846065]
		Model Seed: 17 Seed: 2 OOD calibration errors: [0.26740741 0.1966358  0.13308642 0.09925926 0.07478395 0.05953704
 0.04679012 0.03916667 0.03240741 0.03290123 0.03429012 0.0395679 ]
	Model Seed: 17 ID mean of (MSE, MAE): [1358.8964     25.006084]
	Model Seed: 17 OOD mean of (MSE, MAE): [721.8839    18.914694]
	Model Seed: 17 ID median of (MSE, MAE): [453.5357    19.480408]
	Model Seed: 17 OOD median of (MSE, MAE): [289.42123  14.58047]
	Model Seed: 17 ID likelihoods: -10.526151473446012
	Model Seed: 17 OOD likelihoods: -10.207265012087344
	Model Seed: 17 ID calibration errors: [0.26950231 0.18481867 0.12149402 0.08741802 0.04963349 0.03227238
 0.02062114 0.01480517 0.0117718  0.01038291 0.01328607 0.01435185]
	Model Seed: 17 OOD calibration errors: [0.26261867 0.206587   0.12530929 0.08523452 0.05044017 0.03614707
 0.0284835  0.0249801  0.02603879 0.02734457 0.03138195 0.03986286]
	Train: 4654 (47.17%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1140 (11.55%)
	No scaling applied
		Model Seed: 18 Seed: 1 ID mean of (MSE, MAE): [1405.504     24.96511]
		Model Seed: 18 Seed: 1 OOD mean of (MSE, MAE) stats: [775.25385   20.432215]
		Model Seed: 18 Seed: 1 ID median of (MSE, MAE): [433.1275    18.443584]
		Model Seed: 18 Seed: 1 OOD median of (MSE, MAE) stats: [404.13986   17.380552]
		Model Seed: 18 Seed: 1 ID likelihoods: -10.543014204857688
		Model Seed: 18 Seed: 1 OOD likelihoods: -10.245533870901824
		Model Seed: 18 Seed: 1 ID calibration errors: [0.27242477 0.1985436  0.13875386 0.09338349 0.06268326 0.04018133
 0.02561728 0.01482446 0.01206597 0.00875772 0.00859375 0.00722415]
		Model Seed: 18 Seed: 1 OOD calibration errors: [0.28172542 0.20288247 0.11997444 0.06832934 0.02406791 0.00996592
 0.00742626 0.00961702 0.01783642 0.02264798 0.03521644 0.04087995]
	Train: 4514 (45.75%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1280 (12.97%)
	No scaling applied
		Model Seed: 18 Seed: 2 ID mean of (MSE, MAE): [1351.3005     24.590132]
		Model Seed: 18 Seed: 2 OOD mean of (MSE, MAE) stats: [678.8989    17.998909]
		Model Seed: 18 Seed: 2 ID median of (MSE, MAE): [411.01355   19.657833]
		Model Seed: 18 Seed: 2 OOD median of (MSE, MAE) stats: [209.53287   13.600586]
		Model Seed: 18 Seed: 2 ID likelihoods: -10.523349917464675
		Model Seed: 18 Seed: 2 OOD likelihoods: -10.179174617759744
		Model Seed: 18 Seed: 2 ID calibration errors: [0.29889082 0.22907986 0.13667052 0.10397377 0.05665509 0.04407793
 0.02662037 0.0244213  0.015326   0.0166956  0.01842207 0.02125772]
		Model Seed: 18 Seed: 2 OOD calibration errors: [0.23472222 0.19145062 0.12429012 0.09987654 0.06623457 0.0604321
 0.04503086 0.03938272 0.04089506 0.04450617 0.04333333 0.05243827]
	Model Seed: 18 ID mean of (MSE, MAE): [1378.4023     24.777622]
	Model Seed: 18 OOD mean of (MSE, MAE): [727.0764   19.21556]
	Model Seed: 18 ID median of (MSE, MAE): [422.07053   19.050709]
	Model Seed: 18 OOD median of (MSE, MAE): [306.83636   15.490569]
	Model Seed: 18 ID likelihoods: -10.533182061161181
	Model Seed: 18 OOD likelihoods: -10.212354244330783
	Model Seed: 18 ID calibration errors: [0.28565779 0.21381173 0.13771219 0.09867863 0.05966917 0.04212963
 0.02611883 0.01962288 0.01369599 0.01272666 0.01350791 0.01424093]
	Model Seed: 18 OOD calibration errors: [0.25822382 0.19716654 0.12213228 0.08410294 0.04515124 0.03519901
 0.02622856 0.02449987 0.02936574 0.03357708 0.03927489 0.04665911]
	Train: 4654 (47.17%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1140 (11.55%)
	No scaling applied
		Model Seed: 19 Seed: 1 ID mean of (MSE, MAE): [1477.7312     25.948153]
		Model Seed: 19 Seed: 1 OOD mean of (MSE, MAE) stats: [817.8048   20.93928]
		Model Seed: 19 Seed: 1 ID median of (MSE, MAE): [487.45096   19.121098]
		Model Seed: 19 Seed: 1 OOD median of (MSE, MAE) stats: [359.4807    16.716225]
		Model Seed: 19 Seed: 1 ID likelihoods: -10.56807001848126
		Model Seed: 19 Seed: 1 OOD likelihoods: -10.272250228449561
		Model Seed: 19 Seed: 1 ID calibration errors: [0.21603974 0.19113619 0.11353202 0.10286458 0.05202546 0.04151235
 0.02242477 0.02077546 0.01215278 0.01373457 0.01312693 0.01005015]
		Model Seed: 19 Seed: 1 OOD calibration errors: [0.23785346 0.20635523 0.08867094 0.06528662 0.01442046 0.00751552
 0.00186012 0.00404276 0.00780762 0.01097205 0.01745507 0.02943933]
	Train: 4514 (45.75%)
	Val: 2016 (20.43%)
	Test: 2057 (20.85%)
	Test OOD: 1280 (12.97%)
	No scaling applied
		Model Seed: 19 Seed: 2 ID mean of (MSE, MAE): [1485.7617     25.745804]
		Model Seed: 19 Seed: 2 OOD mean of (MSE, MAE) stats: [660.5904    17.488226]
		Model Seed: 19 Seed: 2 ID median of (MSE, MAE): [476.54944  19.24746]
		Model Seed: 19 Seed: 2 OOD median of (MSE, MAE) stats: [215.05463   13.037733]
		Model Seed: 19 Seed: 2 ID likelihoods: -10.570779799707598
		Model Seed: 19 Seed: 2 OOD likelihoods: -10.165505287273284
		Model Seed: 19 Seed: 2 ID calibration errors: [0.23847415 0.21369599 0.11026235 0.1043017  0.05747492 0.03938079
 0.01946373 0.02117091 0.01086998 0.01429398 0.01057099 0.00885417]
		Model Seed: 19 Seed: 2 OOD calibration errors: [0.2262963  0.18589506 0.10929012 0.10216049 0.07027778 0.05111111
 0.04660494 0.03641975 0.03895062 0.0312963  0.04842593 0.03385802]
	Model Seed: 19 ID mean of (MSE, MAE): [1481.7465     25.846977]
	Model Seed: 19 OOD mean of (MSE, MAE): [739.19763   19.213753]
	Model Seed: 19 ID median of (MSE, MAE): [482.00018   19.184278]
	Model Seed: 19 OOD median of (MSE, MAE): [287.26767   14.876979]
	Model Seed: 19 ID likelihoods: -10.56942490909443
	Model Seed: 19 OOD likelihoods: -10.218877757861422
	Model Seed: 19 ID calibration errors: [0.22725694 0.20241609 0.11189718 0.10358314 0.05475019 0.04044657
 0.02094425 0.02097319 0.01151138 0.01401427 0.01184896 0.00945216]
	Model Seed: 19 OOD calibration errors: [0.23207488 0.19612514 0.09898053 0.08372356 0.04234912 0.02931331
 0.02423253 0.02023126 0.02337912 0.02113417 0.0329405  0.03164868]
ID mean of (MSE, MAE): [1427.8026123046875, 25.497289657592773] +- [66.06585693359375, 0.5629960298538208] +- [1.40372    0.07622655] 
OOD mean of (MSE, MAE): [736.3994750976562, 19.332656860351562] +- [27.500574111938477, 0.4657217860221863] +- [76.182235   1.7071818] 
ID median of (MSE, MAE): [448.4327087402344, 19.087549209594727] +- [28.965547561645508, 0.32128164172172546] +- [9.423594  0.1209373] 
OOD median of (MSE, MAE): [308.87164306640625, 15.419293403625488] +- [21.860877990722656, 0.6808083057403564] +- [91.422396    2.10032365] 
ID likelihoods: -10.550294119391486 +- 0.023038723365383745 +- 0.0005833382314150981 
OOD likelihoods: -10.21652603095025 +- 0.01917583336923114 +- 0.052254355572507016 
ID calibration errors: [0.24493441358024692, 0.19371624228395062, 0.11765480324074074, 0.09153549382716047, 0.054672550154321, 0.039241898148148144, 0.02129822530864198, 0.016697530864197545, 0.012703028549382735, 0.01249662422839508, 0.014868344907407429, 0.013492959104938296] +- [0.026796738688474243, 0.011822386758656472, 0.012108121278733472, 0.007794507256156817, 0.006746195126775143, 0.0051473620633074495, 0.0024273951258407624, 0.002614699741812313, 0.0027118205963351386, 0.0018854233794163746, 0.003063951975427597, 0.0032779231841321217] +- [7.6070595e-03 6.4139645e-03 2.4030675e-03 2.1952165e-03 5.4156900e-04
 5.5942000e-05 1.2278155e-03 2.0968365e-03 1.8079655e-03 1.6256750e-03
 3.0714700e-03 3.8700820e-03] 
OOD calibration errors: [0.2383550736288102, 0.193974727269631, 0.10612031358545582, 0.08191305021263973, 0.044401310886325464, 0.03597923788258754, 0.02507646761769814, 0.023583857670333427, 0.02483641875136795, 0.027467093611590658, 0.034479998124282187, 0.03899556914887488] +- [0.02766056163705735, 0.013947823404403814, 0.015611596297041199, 0.008611879244738824, 0.006390450782409626, 0.004298718335998508, 0.006678204481144217, 0.004991399497973056, 0.005124845091037754, 0.005586835084757712, 0.004281333669016574, 0.005085488594951658] +- [0.00689828 0.00261053 0.00672845 0.01822892 0.02431165 0.02411953
 0.01803156 0.01461676 0.01019445 0.00768414 0.0068379  0.00138715] 
