Update README.md

README.md

@@ -85,9 +85,9 @@ If a successful model is trained, it would be interesting to understand whether
 
 | Size | Linear regression | MLP | Transformer | Guessing training label mean | 
 |----------|----------|-----------|------------|------------|
-| \\(n= 18$ | $1.5920 \times 10^{10}$ | $2.7447 \times 10^{8} \pm 8.8602 \times 10^8$ | $2.4913 \times 10^{10} \pm 1.4350 \times 10^7$| $1.5920 \times 10^{10}$ |
-| \\(n= 20$ | $4.2007 \times 10^{12}$ | $4.2254 \times 10^{11} \pm 5.1236 \times 10^{11}$ | $5.3897 \times 10^{12} \pm 3.6464 \times 10^{11}$ | $4.2007 \times 10^{12}$ |
-| \\(n= 22$ | $8.0395 \times 10^{14}$ | $1.1192 \times 10^{14} \pm 4.9321 \times 10^{12}$ | $1.3797 \times 10^{14} \pm 6.2799 \times 10^{12}$| $8.0395 \times 10^{14}$ |
+| \\(n= 18$ | \\(1.5920 \times 10^{10}\\) | \\(2.7447 \times 10^{8} \pm 8.8602 \times 10^8$ | \\(2.4913 \times 10^{10} \pm 1.4350 \times 10^7$| \\(1.5920 \times 10^{10}$ |
+| \\(n= 20$ | \\(4.2007 \times 10^{12}\\) | \\(4.2254 \times 10^{11} \pm 5.1236 \times 10^{11}$ | \\(5.3897 \times 10^{12} \pm 3.6464 \times 10^{11}$ | \\(4.2007 \times 10^{12}$ |
+| \\(n= 22$ | \\(8.0395 \times 10^{14}\\) | \\(1.1192 \times 10^{14} \pm 4.9321 \times 10^{12}$ | \\(1.3797 \times 10^{14} \pm 6.2799 \times 10^{12}$| \\(8.0395 \times 10^{14}$ |
 
 The $\pm$ signs indicate 95% confidence intervals from random weight initialization and training.