Missing Features Reconstruction and Its Impact on Classification Accuracy

9 Nov 2019Magda FriedjungováDaniel VašataMarcel Jiřina

In real-world applications, we can encounter situations when a well-trained model has to be used to predict from a damaged dataset. The damage caused by missing or corrupted values can be either on the level of individual instances or on the level of entire features... (read more)

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