There's a machine learning algorithm that correctly classifies images 90% of the times.

If we generate 250 samples of 25 images, and for each sample we calculate the proportion of images correctly classified by the algorithm and their confidence interval at 95%. How may of the 250 confidance intervals would you expect to contain the true percentage of correctly classification of the algorithm?