Weird result from sklearn K-Nearest Neighbor when interpolating PM2.5 data
I am trying to generate an interpolated raster layer of the Bay Area on ArcGIS Online Notebook using PM2.5 data from EPA AirNow sensors. However, the results seem off. I replicated most of the code from another person who used this method interpolating PurpleAir data. The only problem that I had was when I tried to plot the predicted and real values using sns.lmpot