Updated readme

README.md

@@ -27,7 +27,7 @@ It leverages complex signal properties (phase, amplitude) inherently using compl
 
 **Key highlights:**
 - Up to **9.2%** improvement in segmentation accuracy over RVNNs
-- **99.4%** Average Accuracy over SNR of [-20, 10] dB with synthetic dataset and **98.98** Average Accuracy over SNR of [-10, 10] dB with Indoor OTA dataset
+- **99.4%** Average Accuracy over SNR of [-20, 10] dB with synthetic dataset and **98.98%** Average Accuracy over SNR of [-10, 10] dB with Indoor OTA dataset
 - **33.1%** reduction in total training time compared to RVNN models
 - Achieves equivalent RVNN accuracy within **2 epochs** vs **27 epochs**
 - Evaluated on Synthetic, Indoor Over-The-Air (OTA), and Real-World Broadband Irregularly-sampled Geographical Radio Environment Dataset (BIG-RED).