Small Project 2: Module Order Models DUE DATE: March 29, 17 This assignment involves ondering of software modules, based on the nunmber of fulls predicted by a software quality prediction model. Use the predictions obuained with Linear Regression Mode we built in Small Project #1. Ynu will use only two of the three models you nbtained in Small Project 1. The models to be used for this assignment are as follows: near Regression Model with M Method of Attribute Selection FAULTS 0.0516 A NUMUORS 0.0341 NUMUANDS 0.0027 TOTOTORS 0.0372 VG 0.2119 NLOGIC 0.0018 LOC 05 ELOC 0.309 Linear Regression Model with Greed Method A Selecuion: FAULTS 0,0482 NUMUTORS 0,0336 NUMUANDS 0,0021 TOTOTORS 0,0337 VG 0.2088 IC 0,0019 LOC 0,3255 nudels. order Modeling for both and test data sets using buuh regression mudels Oblaita the predictions for both the dala sel atid the test data set using the abuve uwo Perform Mudule o Compare the performances of MOM for both the lincar on mod Usc Alberg Diagram and Pcformancc Curve for cach Model using fit and test data scts o Use tables tu summarize the results of MOM. Also provide analysis of your summary. NOTE You should NOT start working on this assignment uatil you bave read Reference 4 and You DO NOT nced to use Weka or any other software tool to do this homework. Any spreadsheet program like Microsoft Excel wil suffice Small Project 2: Module Order Models DUE DATE: March 29, 17 This assignment involves ondering of software modules, based on the nunmber of fulls predicted by a software quality prediction model. Use the predictions obuained with Linear Regression Mode we built in Small Project #1. Ynu will use only two of the three models you nbtained in Small Project 1. The models to be used for this assignment are as follows: near Regression Model with M Method of Attribute Selection FAULTS 0.0516 A NUMUORS 0.0341 NUMUANDS 0.0027 TOTOTORS 0.0372 VG 0.2119 NLOGIC 0.0018 LOC 05 ELOC 0.309 Linear Regression Model with Greed Method A Selecuion: FAULTS 0,0482 NUMUTORS 0,0336 NUMUANDS 0,0021 TOTOTORS 0,0337 VG 0.2088 IC 0,0019 LOC 0,3255 nudels. order Modeling for both and test data sets using buuh regression mudels Oblaita the predictions for both the dala sel atid the test data set using the abuve uwo Perform Mudule o Compare the performances of MOM for both the lincar on mod Usc Alberg Diagram and Pcformancc Curve for cach Model using fit and test data scts o Use tables tu summarize the results of MOM. Also provide analysis of your summary. NOTE You should NOT start working on this assignment uatil you bave read Reference 4 and You DO NOT nced to use Weka or any other software tool to do this homework. Any spreadsheet program like Microsoft Excel wil suffice