Figure 10

Cross-validation estimates the prediction performance of shape-based classification models on independent samples. Scatter plot of inner CV vs. external CV average validation accuracy values over 10 external CV iterations for six pair-wise renal tumor subtype comparisons: CH vs. CC, CH vs. ON, CH vs. PA, CC vs. ON, CC vs. PA, and ON vs. PA. The plotted performance value for each iteration is the average performance over three folds (for external CV) or over 10 iterations and three folds (for internal CV). The optimal classifier model parameters (one set for each point) are selected in the inner CV from a possible set of 72576 models consisting of 36 feature sizes, 14 types of classifiers (linear SVM and radial basis SVM classifiers with 13 different gammas), 16 cost values and 9 harmonic numbers.