Sentence examples for mean classification accuracies from inspiring English sources

Plot of mean classification accuracies with increasing number of Lanczos interpolated orientations in the training data.

While the mean classification accuracies have a decreasing trend, the curves are far from monotonically decreasing.

The grey dots in the background correspond to the mean classification accuracies achieved when the size of the training data is halved.

Figures 7, 8, 9, 10, 11, and 12 show the mean classification accuracies for the texture descriptors on the six datasets under increasing levels of added noise.

These values should be compared to the mean classification accuracies reported in Table 3 (also showed as black lines in Fig. 5).

Plot of mean classification accuracies within each cross-validation fold for each orientation for the LBP(_{8,1}^{text {ri}}) descriptor applied on textures rotated by hardware (HW) or nearest neighbour (NN), linear (LN), cubic (CU), B-spline (SP) and Lanczos 3 (LZ) interpolation.

Table 2 Mean classification accuracy at θ=0°.

Mean classification accuracy for all descriptors on the Brodatz dataset.

Mean classification accuracy for all descriptors on the UIUC dataset.

Mean classification accuracy for all descriptors on the Kylberg dataset.

Mean classification accuracy for all descriptors on the Virus dataset.