it might help if you had an image of your input points and the options that you specified in the KD tool.
In short, you have observations of something in space... a sample effectively. What you are trying to do is represent the "density" of those points with respect to the other points and a distance for each cell. Each cell in the resultant raster is needs a value which is calculated as follows:
Kernel density spreads the known quantity of the population for each point out from the point location. The resulting surfaces surrounding each point in kernel density are based on a quadratic formula with the highest value at the center of the surface (the point location) and tapering to zero at the search radius distance. For each output cell, the total number of the accumulated intersections of the individual spread surfaces is calculated.
From
Differences between point, line, and kernel density—Help | Documentation
So it important to know the cell size and many other parameters that are specified in the tool
Kernel Density—Help | Documentation
In the end the result is a measure of the number of occurrences of something per unit area. If you change the parameters, keeping the data set the same, you will conceivably get a different result
... sort of retired...