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    <title>topic Sas Viya Credit Score Rating For Partner in SAS Viya</title>
    <link>https://communities.sas.com/t5/SAS-Viya/Sas-Viya-Credit-Score-Rating-For-Partner/m-p/974724#M2973</link>
    <description>&lt;P&gt;I’m working on a project for the &lt;STRONG&gt;SAS Hackathon&lt;/STRONG&gt; where I want to create a &lt;STRONG&gt;Credit Score Rating system&lt;/STRONG&gt; to evaluate whether business partners have the ability to pay on time.&lt;/P&gt;&lt;P&gt;The goal is to analyze payment history, financial behavior, and risk factors, then predict the likelihood of timely payments using &lt;STRONG&gt;SAS Viya&amp;nbsp;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;PartnerID,PaymentHistory,OutstandingDebt,AnnualRevenue,DefaultFlag&lt;BR /&gt;P001,OnTime,20000,150000,0&lt;BR /&gt;P002,Late,50000,100000,1&lt;BR /&gt;P003,OnTime,10000,120000,0&lt;BR /&gt;P004,Late,70000,90000,1&lt;BR /&gt;P005,OnTime,15000,200000,0&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;/* Import the dataset */
proc import datafile="/home/user/credit_data.csv"
out=work.credit_data
dbms=csv replace;
getnames=yes;
run;

/* Build logistic regression model */
proc logistic data=work.credit_data;
class PaymentHistory;
model DefaultFlag(event='1') = PaymentHistory OutstandingDebt AnnualRevenue;
run;&lt;BR /&gt;&lt;BR /&gt;&lt;/PRE&gt;&lt;P&gt;I’d love suggestions on feature engineering, model selection, or even SAS-specific functions that could strengthen the results.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
    <pubDate>Wed, 10 Sep 2025 09:23:14 GMT</pubDate>
    <dc:creator>thunyakorn</dc:creator>
    <dc:date>2025-09-10T09:23:14Z</dc:date>
    <item>
      <title>Sas Viya Credit Score Rating For Partner</title>
      <link>https://communities.sas.com/t5/SAS-Viya/Sas-Viya-Credit-Score-Rating-For-Partner/m-p/974724#M2973</link>
      <description>&lt;P&gt;I’m working on a project for the &lt;STRONG&gt;SAS Hackathon&lt;/STRONG&gt; where I want to create a &lt;STRONG&gt;Credit Score Rating system&lt;/STRONG&gt; to evaluate whether business partners have the ability to pay on time.&lt;/P&gt;&lt;P&gt;The goal is to analyze payment history, financial behavior, and risk factors, then predict the likelihood of timely payments using &lt;STRONG&gt;SAS Viya&amp;nbsp;&lt;/STRONG&gt;&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;&lt;PRE&gt;PartnerID,PaymentHistory,OutstandingDebt,AnnualRevenue,DefaultFlag&lt;BR /&gt;P001,OnTime,20000,150000,0&lt;BR /&gt;P002,Late,50000,100000,1&lt;BR /&gt;P003,OnTime,10000,120000,0&lt;BR /&gt;P004,Late,70000,90000,1&lt;BR /&gt;P005,OnTime,15000,200000,0&lt;BR /&gt;&lt;BR /&gt;&lt;BR /&gt;/* Import the dataset */
proc import datafile="/home/user/credit_data.csv"
out=work.credit_data
dbms=csv replace;
getnames=yes;
run;

/* Build logistic regression model */
proc logistic data=work.credit_data;
class PaymentHistory;
model DefaultFlag(event='1') = PaymentHistory OutstandingDebt AnnualRevenue;
run;&lt;BR /&gt;&lt;BR /&gt;&lt;/PRE&gt;&lt;P&gt;I’d love suggestions on feature engineering, model selection, or even SAS-specific functions that could strengthen the results.&lt;/P&gt;&lt;P&gt;&amp;nbsp;&lt;/P&gt;</description>
      <pubDate>Wed, 10 Sep 2025 09:23:14 GMT</pubDate>
      <guid>https://communities.sas.com/t5/SAS-Viya/Sas-Viya-Credit-Score-Rating-For-Partner/m-p/974724#M2973</guid>
      <dc:creator>thunyakorn</dc:creator>
      <dc:date>2025-09-10T09:23:14Z</dc:date>
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