You are given the following dataset that includes samples from two classes, represented by blue circles and green squares, respectively. You are applying principal component analysis $($PCA$)$ on this data. Following that, you are using the features obtained from the first PCA dimension as an input to a linear classifier. The linear classifier is likely to classify the majority of samples correctly.