cross valdiation

I am working in PSO for feature selection. I use KNN algorithm with 10 cross validation for the evaluation. before I use the 10cv the algorithm is quite cheap meaning no high computational cost has been faced, but after turning to 10cv the code is running too slow, sometimes for days. may I know if there is any problem in performing the 10cv. I use the following code to perform 10 cv

Skills: Data Mining, Data Processing, Excel

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About the Employer:
( 0 reviews ) Kuala Selangor, Malaysia

Project ID: #19148490

8 freelancers are bidding on average $440 for this job


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Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several comp More

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Hi, I hope you are doing good. well regarding this project, I have extensive 8+ years of experience in Machine learning projects using Python. I will work with efficient and correct way. Give me work, I will surel More

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As an: - Bachelor of Applied Mathematics - Engineer in Statistics and Applied Economics - Microsoft Office Technician (Microsoft Graduate: MOS Diploma), - I have skills in programming language R, Python, SPSS I a More

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"Hi, Hope you are doing well! Thanks for sharing your project requirement with us. It will be our great pleasure to work on your project. I have checked your requirement, yes we can do it, because we already work on si More

$616 USD in 7 days
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hi friend, I am a machine learner and data scientist helping clients around the world. I quite understand that using cross-validation may slow your modeling process. I propose you use gridsearch to achieve this since i More

$555 USD in 5 days
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Hi, Greetings. I have experience in data mining and machine learning on big dataset. Further details regarding your implementation will be required to dig down the issue for your run with cross validation. For exampl More

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