Evaluating my models
Im trying to evalute my models - I've build 3 models, a k-NN, a local polynomial regression and a deep learning.
I'm trying do predict the shaftpower of a vessel with different variations of trim. I've put it all in this chart.
I've made a confidence line made from the k-NN anomaly score - so it measures the distance from the point and to the nearest points to tell how confident the model is in its prediction. However, it seems like my models are not really confident in predicting anything away from -0,1, because the confidence level begins the fall considerably.
How could I improve this? Is it because there is not enough data?