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@@ -191,7 +191,7 @@ As observed in figure \ref{fig:mix1} we performed two experiments for performanc
\end{figure}
Both experiments show that an optimal amount of data to boost testing accuracy on the original MNIST dataset is around 30% generated data as in both cases we observe
-an increase in accuracy by around 0.3%. In absence of original data the testing accuracy drops significantly to around 20% in both cases.
+an increase in accuracy by around 0.3%. In absence of original data the testing accuracy drops significantly to around 20% for both cases.
## Adapted Training Strategy