Headers ‘A’ through ‘H’ in the output CSV file will contain the contents of the original information file CSV. Headers 'I' through 'L' in the output CSV file contain the machine learning model’s predictions and additional performance label metrics drawn from the numerical prediction.

Number	Header	Name	Explanation
9	I	Predicted % Score	The student’s predicted STAAR test score as a percent. This number is rounded.

The Texas Education Agency (TEA) places student STAAR test scores into categories, called “performance labels” (PL), to gauge overall student performance. There are four performance labels: Masters, Meets, Approaches, and Did Not Meet.

This website is currently using the performance label thresholds from the 2021-2022 STAAR tests.

Note: Performance label thresholds vary by year, and are determined based on the results of the STAAR tests taken. The predicted performance label and associated metrics provided by this website are meant to enhance the student’s predicted percent score, and may not reflect the performance label thresholds for future tests.

Number	Header	Name	Explanation
10	J	Predicted PL	A student’s predicted performance threshold based on the machine learning model’s predicted percent score. The thresholds used to categorize this score are selected based on the Subject and Grade input when uploading the information file CSV.
11	K	% to Next PL	The increase, as a percentage, needed for a student’s test score to move up to the next performance label category. This metric may be useful in identifying students who are close to moving up to the next performance label. If a student’s score falls within the top performance label’s threshold, this number will be 0.
12	L	% to Previous PL	The decrease, as a percentage, needed for a student’s test score to go down to the previous performance label category. This metric may be useful in identifying students who are close to dropping to a previous performance label. If a student’s score falls within the lowest performance label’s threshold, this number will be 0.