Machine Learning Analysis of Immune Cells for Diagnosis and Prognosis of Cutaneous Melanoma

Table 1

Clinical characteristics of the train and test dataset. IQR: interquartile range; OS: overall survival.

	Level	Test samples	Train samples
n		179	179
Age (median [IQR])		58.00 [47.00, 71.00]	58.00 [48.00, 70.00]	0.685
Gender (%)	Female	59 (33.0)	73 (40.8)	0.154
	Male	120 (67.0)	106 (59.2)
Race (%)	(Not evaluated)	4 (2.2)	1 (0.6)	0.512
	(Unknown)	1 (0.6)	2 (1.1)
	Asian	4 (2.2)	3 (1.7)
	White	170 (95.0)	173 (96.6)
Stage (%)		16 (8.9)	10 (5.6)	0.594
	I/II NOS	4 (2.2)	4 (2.2)
	Stage I	32 (17.9)	35 (19.6)
	Stage II	51 (28.5)	64 (35.8)
	Stage III	67 (37.4)	58 (32.4)
	Stage IV	9 (5.0)	8 (4.5)
Vital_status (%)	Alive	94 (52.5)	94 (52.5)	1.000
	Dead	85 (47.5)	85 (47.5)
Tumor_status (%)		2 (1.1)	4 (2.2)	0.452
	Tumor-free	76 (42.5)	84 (46.9)
	With tumor	101 (56.4)	91 (50.8)
OS time (median [IQR])		3.16 [1.51, 6.56]	3.47 [1.39, 6.68]	0.831