Noman Khan (20929) <br/><br/>
A machine learning-based tool to predict playability for games 

 - Islamabad  (unpublished)  2021 
 - x, 36 p.  : ill., Col.,  ; 30 cm.  +CD 
<br/><br/> Submitted in fulfillment of the requirements for the degree of Master of Sciences in Software Engineering to the Faculty of Computing.  Includes bibliographical references  Thesis supervisor: Dr. Adeel Zafar 
<br/><br/>Thesis (MS)--Riphah International University, 2021 
<br/><br/><br/>English 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Machine learning--Games methods--Games description--Games playability--Video games --Playability measures--Software engineering--FC
<br/><br/><label>Dewey Class. No.: </label>006.312  / NOM