How to get a 1.000

@Pisces Dream, I think that it depends on what features you use to predict the result. For example, if you use the feature “has a penis” to predict whether a person is male or female. It is guarantee that you will get 100% result, and it doesn’t mean that it is overfitting. However, if you use other features such as “hair length”, “height”, etc, to predict the gender. It is also possible that you get 100% result, but this result can not be generalized to the case outside the testing data. Since it is possible to find a very short man with long hair, the classifier is overfitting on the testing data. In this competition, the survival of a passenger does not only depend on the features given in the dataset. A male with…


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