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Table 1 Mean Relative Error in the size prediction problem by different regression models across our three datasets (cf. “Datasets” section), for \(k=2\) and \(k=10\)

From: On the challenges of predicting microscopic dynamics of online conversations

Classifier model Reddit Twitter
Crypto CVE CVE
\(k=2\) \(k=10\) \(k=2\) \(k=10\) \(k=2\) \(k=10\)
Random Forest 0.77 0.46 1.4 0.84 0.22 0.41
Gradient Boosting Trees 0.79 0.43 1.6 0.81 0.25 0.45
KNN Regression 0.84 0.48 1.8 1.0 0.24 0.39
Linear Regression 1.9 0.88 1.9 0.88 0.36 2.4
Elastic Net 0.88 0.46 1.6 0.89 0.16 0.42