Random Forest
Correlation coefficient 0.8478
Mean absolute error 412.9693
Root mean squared error 534.6837
Relative absolute error 48.6836 %
Root relative squared error 52.5345 %
Total Number of Instances 70
k-NN (k=3)
Correlation coefficient 0.6876
Mean absolute error 532.0619
Root mean squared error 751.3737
Relative absolute error 62.7231 %
Root relative squared error 73.825 %
Total Number of Instances 70
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Hi,
Your result revealed that Random Forest has better performance.
HTH.
Samer, PhD.
Thank you very much. WOuld you please help me what should I write while reporting these results? Interpretation of these results?
This depends on what research question you're trying to answer. However, for now, you could pay attention to the result of both RMSE and Correlation coefficient. In order to have a further understanding of those metrics, please consult the following links:
https://en.wikipedia.org/wiki/Root-mean-square_deviation
https://en.wikipedia.org/wiki/Correlation_coefficient
Cheers,
Samer
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