Table 10.
Detailed statistical analysis of the proposed method using the BraTS 2015 dataset.
Method | Min (%) | Avg (%) | Max (%) | SEM | ||
---|---|---|---|---|---|---|
Naïve Bayes | 92.47 | 93.33 | 94.9 | 0.493 | 0.7021 | 0.4054 |
MSVM | 92.19 | 93.42 | 96.66 | 1.016 | 1.0083 | 0.5821 |
Softmax | 91.63 | 92.8 | 93.98 | 0.920 | 0.9593 | 0.5539 |
ET | 92.98 | 94.32 | 95.67 | 1.206 | 1.0981 | 0.6340 |
ELM | 97.37 | 97.76 | 98.16 | 0.104 | 0.3225 | 0.1862 |
The best values are shown in bold. Min, Avg, and Max are the minimum, average, and maximum accuracy, respectively. SEM—standard error of mean.