classification problem, use logistic regression, cross validation, test accuracy using R
$30-250 USD
Pagado a la entrega
First, need to split the dataset into training set 60%, validation set 20% and test set 20%.
Then start with 1 most important predictor (predictor 5) model logistic regression, use, validation set to measure error, also do 10 k-fold cross validation to measure error , and use test set to get model accuracy.
I know utilize all predictor in this dataset should get most accuracy and least error. I just need someone to do 1 model, and then I can just use same method to do the rest models.
Be aware the response variable are binary 0 and 1, it is a classification problem.
The dataset is attached
you need to first use
mydata <- [login to view URL](mydata)
mydata <- mydata[[login to view URL](mydata), ]
to make this data work
Nº del proyecto: #12241551
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I have multiple top 5% finishes in Kaggle competitions, recently won an academic machine learning competition, and have worked as a data scientist for several years. Indeed, the approach you describe here for this task Más
11 freelancers están ofertando un promedio de $151 por este trabajo
Greetings sir, i am an expert freelancer for this job and your 100% satisfaction is assured if you allow me to serve. Here is the reason. Why you should pick me? a) I am a very expert and have the same kind of ex Más
I am an expert in predictive modeling and R. I have a PhD in physics and extensive experience in machine learning and analytics.
Hi I am expert in R but I am available on coming weekends So if it is suitable for you then contact to me. thanks Hemant Jhalani
Hi I can do this project in R for you. Looking forward to discuss further about your requirements and timeline.
Hi, I have done similar assignments in the past, please connect with me i am keen to do this project for you. i am online we can chat and take this forward. regards, Puneet