I am unable to infer anything about the model from the following confusion matrix. What is the color coding actually specifying?
For example, when predicted label is 1 and true label is 1, the value in the matrix at that point is
0.20. Does that mean its accuracy? Does it mean that the model is only able to predict 1 only 20% of times when the label is actually 1?
PS: SO URL for a more clear image