1. A computer-implemented method of analyzing a first government form for a filer to be filed with an appropriate government agency, the method being performed on a computer, comprising: a form analysis system receiving a plurality of data values for completing the first government form for the filer, the form analysis system comprising at least one computer having a computer processor and software programming; the form analysis system creating a first feature vector using the plurality of data values; the form analysis system comparing the first feature vector to a set of training set feature vectors for previously filed government forms of the same type of government form as the first government form, each of the training set feature vectors associated with a respective known outcome, wherein the set of training set feature vectors includes one or more training set feature vectors associated with a negative outcome wherein a negative outcome means a form was rejected or disapproved by a government agency and one or more training set feature vectors associated with a positive outcome wherein a positive outcome means a form was accepted and approved by a government agency, and for each training set feature vector having a negative outcome, a respective reason for such negative outcome, and respective corrective information comprising modifications made to the respective previously filed government forms which fixed the respective negative outcome; the form analysis system determining that the first feature vector is within a predetermined distance of one or more training set feature vectors, the training set feature vectors within the predetermined distance referred to as “the first similar feature vectors”; the form analysis system determining a likelihood of a first expected outcome in filing the first government form based on determining that the first feature vector is within a predetermined distance of the first similar feature vectors; the form analysis system determining that the first expected outcome is a first negative outcome; the form analysis system modifying one or more of the data values for reducing the likelihood of the first negative outcome based on analyzing the corrective information associated with the first similar feature vectors.