Table 2 Comparisons of seven classification methods on TCGA data

DLDA

0.013 (0.007, 50)

0.035 (0.027, 50)

0.1 (0.042, 50)

DQDA

0.008 (0.006,50)

0.018 (0.019, 50)

0.08 (0.047, 50)

NN

0.014 (0.01, 50)

0.027 (0.016, 50)

0.085 (0.053, 50)

SVM

0.01 (0.007, 50)

0.024 (0.017, 50)

0.088 (0.041, 50)

SCRDA

0.039 (0.031, 128)

0.044 (0.026, 95)

0.122 (0.068, 502)

RF

0.007 (0.002, NA)

0.018 (0.009, NA)

0.08 (0.039, NA)

SQDA

0.003 (0.003, 1900)

0.011 (0.009, 1900)

0.036 (0.021, 2900)

DLDA2

0.017 (0.005, 12100)

0.031 (0.013, 8900)

0.114 (0.038, 2300)

DQDA2

0.008 (0.004,10000)

0.023 (0.008, 8300)

0.107 (0.05, 5800)

Methods

PC

HNC

LC

DLDA

0.125 (0.024, 50)

0.034 (0.012, 50)

0.055 (0.017, 50)

DQDA

0.11 (0.022, 50)

0.03 (0.016, 50)

0.045 (0.021, 50)

NN

0.094 (0.029, 50)

0.032 (0.013, 50)

0.051(0.015, 50)

SVM

0.116 (0.031, 150)

0.037 (0.023, 50)

0.04 (0.014, 50)

SCRDA

0.094 (0.037, 1989)

0.039 (0.021, 2200)

0.069 (0.026, 56)

RF

0.11 (0.013, NA)

0.033 (0.013, NA)

0.048 (0.018, NA)

SQDA

0.206 (0.134, 1300)

0.021 (0.015, 2200)

0.04 (0.041, 500)

DLDA2

0.128 (0.026, 3400)

0.033 (0.01, 6600)

0.068 (0.02, 7800)

DQDA2

0.205 (0.066, 3100)

0.049 (0.022, 5900)

0.089 (0.027, 6100)

Methods

BC

KC

CC

DLDA

0.035 (0.017, 50)

0.028 (0.018, 50)

0.006 (0.008, 50)

DQDA

0.018 (0.009, 50)

0.037 (0.03, 50)

0.004 (0.006, 50)

NN

0.021 (0.013, 50)

0.031 (0.019, 50)

0.005 (0.009, 50)

SVM

0.018 (0.012, 50)

0.028 (0.018, 50)

0.004 (0.006, 50)

SCRDA

0.045 (0.019, 452)

0.047 (0.011, 78)

0.023 (0.014, 49)

RF

0.027 (0.013, NA)

0.025 (0.014, NA)

0.011 (0.011, NA)

SQDA

0.021 (0.008, 2800)

0.009 (0.005, 6100)

0.007 (0.008, 5900)

DLDA2

0.036 (0.015, 8000)

0.039 (0.007, 10200)

0.02 (0.014, 11700)

DQDA2

0.069 (0.033, 7400)

0.045 (0.035, 9600)

0.021 (0.014, 10200)