I'm a newbie to this machine learning concepts!
I've made a model and trained it to an accuracy of 98% using KNN-Classifier, but I'm unable to test the model using an image as the input.
Each datapoint contains an equivalent of 8X8 image of a digit. When I convert this into a numpy array , It gives a me list of integers between 0.0 to 16.0 (dtype = float64).
But the problem , I'm unable to break down the input image into the dateset's corresponding image. 
The following is the [executed in CMD prompt , Python version - 3x](https://i.stack.imgur.com/6IbCQ.png)