Weka - 资源管理器和实验者结果之间的差异 [英] Weka - differences between Explorer and Experimenter outcomes

问题描述

我只是想知道为什么％正确分类不同于Weka的Explorer和Experimenter方面。我已经检查，以确保我使用10交叉验证以及所有其他参数！

I just wondered why is the % correctly classified differs from the Explorer and Experimenter aspects of Weka. I have checked to ensure I am employing 10-cross fold validation as well as all other paramaters!

任何人都有什么想法？

感谢

推荐答案

我有Mark Hall提供的解决方案，列表。以下是Explorer和Experimenter之间的区别：

I have the solution, as provided by Mark Hall, as I emailed him on the Weka Mail list. Here is the difference between Explorer and Experimenter:

实验者的操作方式与资源管理器不同。资源管理器
将交叉验证的评估指标相加，例如
通过在测试折叠上对所有正确分类的
实例求和，然后除以
实例的总数来计算百分比校正。另一方面，Experimenter计算
的折叠的平均值。此外，实验者中的默认值是运行10
重复的10折交叉验证（因此平均100折）。

The Experimenter operates differently from the Explorer. The Explorer sums evaluation metrics over the folds of the cross validation - e.g. percent correct is computed by summing all the correctly classified instances over the test folds and then dividing by the total number of instances. The Experimenter, on the other hand, computes averages over the folds. Furthermore, the default in the Experimenter is to run 10 repetitions of 10-fold cross-validation (so 100 folds are averaged over).

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