I am currently work in ground targets classification techniques, many algorithm were tested with different classifier and different condition, the output measered by classification accuracy(percentage). i need simple statistics tool in order to highlight the best algorithm in all conditions.
Yours Truly,
I would say the choice should at least depend on the number of samples/ features that you have. If you only have a few samples, don't use a complex classifier that will probably over-fit
your data.
Try looking at low-dimensional representations of your data to see how the data is distributed, whether there are any clusters, outliers etc and decide accordingly. For this you could make several 2D or 3D plots (where each axis is a feature), or try to reduce the dimensionality of all your features to 2D or 3D by using PCA, multidimensional scaling or other methods. A tool that you could use for such would be http://www.37steps.com/prtools/.
This won't give you the "best" classifier but at least you could try to motivate your choices for using certain techniques.
Thanks Dulan Dias i have may features for each sample so, all algorithm were tested in all features . for example ( one sample have five features ) i need to specify which feature and algorithm gives good result
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