Table 12: Full results in the leave-sensors-out settings on PAM dataset. The "missing ratio" denotes the ratio of masked variables.
Missing ratio	Methods	PAM (Leave-fixed-sensors-out)	PAM (Leave-random-sensors-out)
Accuracy	Precision	Recall	F1 score	Accuracy	Precision	Recall	F1 score
10%	Transformer	60.3 ± 2.4	57.8 ± 9.3	59.8 ± 5.4	57.2 ± 8.0	60.9 ± 12.8	58.4 ± 18.4	59.1 ± 16.2	56.9 ± 18.9
Trans-mean	60.4 ± 11.2	61.8 ± 14.9	60.2 ± 13.8	58.0 ± 15.2	62.4 ± 3.5	59.6 ± 7.2	63.7 ± 8.1	62.7 ± 6.4
GRU-D	65.4 ± 1.7	72.6 ± 2.6	64.3 ± 5.3	63.6 ± 0.4	68.4 ± 3.7	74.2 ± 3.0	70.8 ± 4.2	72.0 ± 3.7
SeFT	58.9 ± 2.3	62.5 ± 1.8	59.6 ± 2.6	59.6 ± 2.6	40.0 ± 1.9	40.8 ± 3.2	41.0 ± 0.7	39.9 ± 1.5
mTAND	58.8 ± 2.7	59.5 ± 5.3	64.4 ± 2.9	61.8 ± 4.1	53.4 ± 2.0	54.8 ± 2.7	57.0 ± 1.9	55.9 ± 2.2
Raindrop	77.2 ± 2.1	82.3 ± 1.1	78.4 ± 1.9	75.2 ± 3.1	76.7 ± 1.8	79.9 ± 1.7	77.9 ± 2.3	78.6 ± 1.8
ViTST	92.8 ± 1.6	94.2 ± 1.3	93.4 ± 1.8	93.7 ± 1.6	93.1 ± 0.9	94.3 ± 0.9	94.0 ± 1.2	94.1 ± 1.1
20%	Transformer	63.1 ± 7.6	71.1 ± 7.1	62.2 ± 8.2	63.2 ± 8.7	62.3 ± 11.5	65.9 ± 12.7	61.4 ± 13.9	61.8 ± 15.6
Trans-mean	61.2 ± 3.0	74.2 ± 1.8	63.5 ± 4.4	64.1 ± 4.1	56.8 ± 4.1	59.4 ± 3.4	53.2 ± 3.9	55.3 ± 3.5
GRU-D	64.6 ± 1.8	73.3 ± 3.6	63.5 ± 4.6	64.8 ± 3.6	64.8 ± 0.4	69.8 ± 0.8	65.8 ± 0.5	67.2 ± 0.0
SeFT	35.7 ± 0.5	42.1 ± 4.8	38.1 ± 1.3	35.0 ± 2.2	34.2 ± 2.8	34.9 ± 5.2	34.6 ± 2.1	33.3 ± 2.7
mTAND	33.2 ± 5.0	36.9 ± 3.7	37.7 ± 3.7	37.3 ± 3.4	45.6 ± 1.6	49.2 ± 2.1	49.0 ± 1.6	49.0 ± 1.0
Raindrop	66.5 ± 4.0	72.0 ± 3.9	67.9 ± 5.8	65.1 ± 7.0	71.3 ± 2.5	75.8 ± 2.2	72.5 ± 2.0	73.4 ± 2.1
ViTST	89.7 ± 1.7	91.0 ± 1.4	90.9 ± 1.9	90.8 ± 1.6	92.0 ± 1.4	93.4 ± 1.2	92.8 ± 1.6	93.0 ± 1.4
30%	Transformer	31.6 ± 10.0	26.4 ± 9.7	24.0 ± 10.0	19.0 ± 12.8	52.0 ± 11.9	55.2 ± 15.3	50.1 ± 13.3	48.4 ± 18.2
Trans-mean	42.5 ± 8.6	45.3 ± 9.6	37.0 ± 7.9	33.9 ± 8.2	65.1 ± 1.9	63.8 ± 1.2	67.9 ± 1.8	64.9 ± 1.7
GRU-D	45.1 ± 2.9	51.7 ± 6.2	42.1 ± 6.6	47.2 ± 3.9	58.0 ± 2.0	63.2 ± 1.7	58.2 ± 3.1	59.3 ± 3.5
SeFT	32.7 ± 2.3	27.9 ± 2.4	34.5 ± 3.0	28.0 ± 1.4	31.7 ± 1.5	31.0 ± 2.7	32.0 ± 1.2	28.0 ± 1.6
mTAND	27.5 ± 4.5	31.2 ± 7.3	30.6 ± 4.0	30.8 ± 5.6	34.7 ± 5.5	43.4 ± 4.0	36.3 ± 4.7	39.5 ± 4.4
Raindrop	52.4 ± 2.8	60.9 ± 3.8	51.3 ± 7.1	48.4 ± 1.8	60.3 ± 3.5	68.1 ± 3.1	60.3 ± 3.6	61.9 ± 3.9
ViTST	86.4 ± 2.1	88.3 ± 1.8	88.0 ± 1.7	87.6 ± 1.7	88.5 ± 0.7	89.8 ± 0.9	90.1 ± 1.0	89.8 ± 0.9
40%	Transformer	23.0 ± 3.5	7.4 ± 6.0	14.5 ± 2.6	6.9 ± 2.6	43.8 ± 14.0	44.6 ± 23.0	40.5 ± 15.9	40.2 ± 20.1
Trans-mean	25.7 ± 2.5	9.1 ± 2.3	18.5 ± 1.4	9.9 ± 1.1	48.7 ± 2.7	55.8 ± 2.6	54.2 ± 3.0	55.1 ± 2.9
GRU-D	46.4 ± 2.5	64.5 ± 6.8	42.6 ± 7.4	44.3 ± 7.9	47.7 ± 1.4	63.4 ± 1.6	44.5 ± 0.5	47.5 ± 0.0
SeFT	26.3 ± 0.9	29.9 ± 4.5	27.3 ± 1.6	22.3 ± 1.9	26.8 ± 2.6	24.1 ± 3.4	28.0 ± 1.2	23.3 ± 3.0
mTAND	19.4 ± 4.5	15.1 ± 4.4	20.2 ± 3.8	17.0 ± 3.4	23.7 ± 1.0	33.9 ± 6.5	26.4 ± 1.6	29.3 ± 1.9
Raindrop	52.5 ± 3.7	53.4 ± 5.6	48.6 ± 1.9	44.7 ± 3.4	57.0 ± 3.1	65.4 ± 2.7	56.7 ± 3.1	58.9 ± 2.5
ViTST	80.0 ± 2.6	83.7 ± 2.7	82.3 ± 2.4	81.2 ± 2.7	83.7 ± 1.3	85.5 ± 1.1	85.6 ± 1.4	85.1 ± 1.3
50%	Transformer	21.4 ± 1.8	2.7 ± 0.2	12.5 ± 0.4	4.4 ± 0.3	43.2 ± 2.5	52.0 ± 2.5	36.9 ± 3.1	41.9 ± 3.2
Trans-mean	21.3 ± 1.6	2.8 ± 0.4	12.5 ± 0.7	4.6 ± 0.2	46.4 ± 1.4	59.1 ± 3.2	43.1 ± 2.2	46.5 ± 3.1
GRU-D	37.3 ± 2.7	29.6 ± 5.9	32.8 ± 4.6	26.6 ± 5.9	49.7 ± 1.2	52.4 ± 0.3	42.5 ± 1.7	47.5 ± 1.2
SeFT	24.7 ± 1.7	15.9 ± 2.7	25.3 ± 2.6	18.2 ± 2.4	26.4 ± 1.4	23.0 ± 2.9	27.5 ± 0.4	23.5 ± 1.8
mTAND	16.9 ± 3.1	12.6 ± 5.5	17.0 ± 1.6	13.9 ± 4.0	20.9 ± 3.1	35.1 ± 6.1	23.0 ± 3.2	27.7 ± 3.9
Raindrop	46.6 ± 2.6	44.5 ± 2.6	42.4 ± 3.9	38.0 ± 4.0	47.2 ± 4.4	59.4 ± 3.9	44.8 ± 5.3	47.6 ± 5.2
ViTST	79.7 ± 2.1	83.4 ± 2.3	81.8 ± 1.9	80.8 ± 2.2	82.8 ± 1.8	84.9 ± 2.0	84.9 ± 1.8	84.4 ± 1.9