Choose one ML algorithm and one data set from repository like UCI. Apply onne classification algo on that data set by using python and R. Build two model (%70-%30 and %80-%20) for each language. Build confusion matrix and compare the performance of the models by using ACC, SPC, Sensitiviy, F-measure.

You should prepare a word document which contains the code, explanation and output

Criteria
Decent explanation
Coding (must be runned)
Output (logically accepted)
Word document

Budget: $5
Posted On: May 24, 2023 09:53 UTC
Category: Machine Learning
Skills:Python, R, Data Science, Machine Learning, Data Analysis
Country: Turkey
click to apply