This article explains two ways to score a validation dataset in PROC LOGISTIC.
1. SCORE Option in PROC LOGISTIC
Proc Logistic Data = training;
Model Sbp_flag = age_flag bmi_flag/ lackfit ctable pprob =0.5;
Output out= test p=ppred;
Score data=validation out = Logit_File;
Run;
2. OUTMODEL / INMODEL Option in PROC LOGISTIC
Proc Logistic Data = training outmodel= model;
Model Sbp_flag = age_flag bmi_flag/ lackfit ctable pprob =0.5;
Output out= test p=ppred;
Run;
proc logistic inmodel=model;
score data=validation out=valid;
run;
1. SCORE Option in PROC LOGISTIC
Proc Logistic Data = training;
Model Sbp_flag = age_flag bmi_flag/ lackfit ctable pprob =0.5;
Output out= test p=ppred;
Score data=validation out = Logit_File;
Run;
2. OUTMODEL / INMODEL Option in PROC LOGISTIC
Proc Logistic Data = training outmodel= model;
Model Sbp_flag = age_flag bmi_flag/ lackfit ctable pprob =0.5;
Output out= test p=ppred;
Run;
proc logistic inmodel=model;
score data=validation out=valid;
run;
About Author:
Deepanshu founded ListenData with a simple objective - Make analytics easy to understand and follow. He has over 10 years of experience in data science. During his tenure, he has worked with global clients in various domains like Banking, Insurance, Private Equity, Telecom and Human Resource.
Pls when is the best time to split a data set into training and validation - at the begining after forming the modeling data set or after cleaning the data (missing value imputation and outlier treatment)?
ReplyDeletePls when is the best time to split a data set into training and validation - at the begining after forming the modeling data set or after cleaning the data (missing value imputation and outlier treatment)?
ReplyDeletei split the data after cleaning the data , after missing value imputation but before outlier treatment. I do outlier treatment , during variable transformation, after initial run of proc logistic.
ReplyDeletesplit the data into training & modeling after cleaning,removing missing values and outlier, transformation. After that we run the proc logistic model.
ReplyDeletethe predicted value we get from that is that the odds ratio?
ReplyDeletemay I know where can I get your sample training data?
ReplyDelete