Metric
|
FLI
|
VIPER
|
scImpute
|
Regression
|
Mean
|
Zeros
|
---|
(a) Classification results
|
AUC
|
\(\sim\)1
|
\(\sim\)1
|
.98
|
.96
|
.97
|
.96
|
\(F_1\)
|
.99
|
.99
|
.98
|
.93
|
.87
|
.83
|
ACC
|
.99
|
.99
|
.98
|
.93
|
.90
|
.76
|
(b) Imputation errors
|
\(\epsilon _{\mu }\)
|
.15
|
.15
|
.35
|
.71
|
.59
|
.68
|
\(\epsilon _{\sigma }\)
|
.08
|
.10
|
.55
|
.32
|
.07
|
.04
|
\(\epsilon _{M}\)
|
.53
|
.70
|
6.2
|
2.4
|
.93
|
.81
|
Time
|
FLI
|
VIPER
|
scImpute
|
Regression
|
Mean
|
Zeros
|
---|
(c) Imputation time
|
\(t_\mu\)
|
.106
|
11.0
|
5.21
|
.126
|
\(\sim\)0
|
\(\sim\)0
|
\(t_\sigma\)
|
.066
|
5.47
|
2.42
|
.122
|
\(\sim\)0
|
\(\sim\)0
|
\(t_{\text {max}}\)
|
.346
|
33.8
|
14.6
|
1.23
|
\(\sim\)0
|
\(\sim\)0
|
- a Mean values over curves shown in Fig. 2a–c. b Mean values over curves shown in Fig. 2d–f. c Mean (\(t_\mu\)), standard deviation (\(t_\sigma\)), and maximum (\(t_{\text {max}}\)) imputation times (in seconds) over all test patients. In table (a), \(\sim\)1 indicates that the AUC is strictly greater than than .995. In table (c), \(\sim 0\) indicates the imputation time is strictly less than .0005 s