数值实验表明，改进的基于凸壳的训练数据选取算法缩短了训练时间并保持了良好的泛化能力，具有一定的参考价值。

Numerical experiments show that the improved Convex Hull-based training data selection algorithm reduces the training time, maintains a good generalization ability and has some reference value.

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这时再创建一个 convertGame.php PHP 脚本，用于随机地选取文件并读取数据，然后创建一个返回给表单的实例。

You'll create a PHP script, convertGame.php, which chooses a file at random and reads in the data to create an instance to return to the form.

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然而，所收集的数据最实用的格式将取决于实际问题情形的独特组合、选取的选项和执行分析的用户。

However, the most practical format for the data collected will depend on the unique combination of the actual problem scenario, the options selected, and the users performing the analysis.

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