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 | ||||||
|---|---|---|---|---|---|---|
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 |