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README.md

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 ## Results 
 
-More information needed
+In our evaluation, the proposed model displayed a significant enhancement over the established baseline, which employs bicubic interpolation for the same task. 
+Specifically, our model achieved a noteworthy 34.93% reduction in Mean Absolute Error (MAE), a metric indicative of the average magnitude of errors between 
+predicted and actual values. Furthermore, there was a near 30% improvement in the Root Mean Square Error (RMSE), which measures the square root of the average 
+of squared differences between predictions and actual values.
+
+These metrics not only underscore the model's capability to predict with greater precision but also emphasize its reduced propensity for errors. 
+In comparison to the bicubic interpolation baseline, our model's superior predictive accuracy is evident, positioning it as a more reliable tool for this task.
 
 
 # Technical Specifications