Model Studio – Build Models

Model Studiopdcesx18036.sas.comABPModel Studio – Build Models29 Days Left QX S 4 00m iE TrylData Pipelines Pipeline Comparison InsightsScore Outputs 1 Name Role Type Variable Type Variable Label EM_PREDICTION PREDICT N double Predicted: popularity P_popularity PREDICT N double Predicted: popularityFit Statistics0Predicted ReportsPredicted Mean 1201008060402000Actual and predicted by depth •01 vs 20ds Training Code40Depth6080100Target Name Data Role Partition Indicator popularity VALIDATE 0 popularity TRAIN 1 popularity TEST 2 Formatted Partition Sum of Frequencies 0 1,441 1 2,882 2 480 1 2 3 4 5 6 7 Macro Variables for input, output data and files; %let dm_datalib =; %let dm_lib = WORK; %let dm_folder = %sysfunc(pathname(•ork)); * • *. *. 8 * Training for linearreg; 9 *. 10 *. 11 * Initializing Variable Macros; 12 13 ® %macro dm_unary_input; 14 is %mend dm_unary_input; Properties 1 vs OutputProperty Name trainProperty ValuetrueThe SAS SystemThe REGSELECT Procedure

QUALITY: 100% ORIGINAL PAPER – NO PLAGIARISM – CUSTOM PAPER

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