Auto Encoder vs. PCA (again)

I tried to use Auto Encoder and PCA to do Dimensionality Reduction.
The dataset is from House Prices: Advanced Regression Techniques.
I transformed the data from 79D to 30D, and then reconstruct the data to 70D.
Here’s the result:

As you can see, PCA even did a better job.
And now I come to a conclusion that Auto Encoder is good at seeking different patterns and when fitting a single pattern PCA is a better choice.

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