Detecting features in XY Plots using CNNs I have a simple classification problem - if two features plotted on a simple XY plot show a "kink" or characteristic turn, then the label is TRUE, otherwise FALSE.  I've been attempting to detect the "kinks" in these plots using fully-connected NN's without much success.  I thought about converting my XY plots into images, and then feeding them into a CNN, but that seems to be fairly inefficient.  Does anyone have any advice for this situation?  A kink is circled below.  Thanks
I am a bit surprised that fully connected neural networks are unable to learn this. It might be due to one or more of the many possible problems like few data or overparameterisation.

Keeping this aside, your problem seems to be solvable by tree classifiers like CART, Random Forest, Gradient Boosting Machine or XGBoost. 

The reason I think tree methods can work is that the problem can be solved using a decision tree. To detect the kinks one needs to find whether the datapoint is below the red line within some specific range of X and Y. Once the kink is detected it is easier to predict TRUE or FALSE as you mentioned.