Durkheim Project Data Analysis Report
Table 18: Training Time Dependence
['Dyn. Feat', '3K Eval', '5K Eval', '9K Eval', '15K Eval', '27K Eval', '45K Eval', '70K Eval', '110K Eval', '160K Eval', '320K Eval']
Training times are measured in terms of the number of evaluations of the scoring function: a single comparison of the model to the training table counts as one evaluation. The highest score for each row is marked in bold (magenta); the second-highest score in italic (cyan). The very highest score, over the entire table, of 63.68%, occurs at a training time of 5000 evaluations and 90 dynamical features (indicated in bold sans-serif). Most of the high scores occur when 9000 or fewer training evaluations are performed. The exceptions occur when the number of dynamical features is extremely small: this suggests that the model builder is starved for features at this point, and must iterate over many trials before finding the appropriate features.