Research Article
A Novel Ensemble Earthquake Prediction Method (EEPM) by Combining Parameters and Precursors
Table 2
Research work using Precursors.
| | Paper Ref. | Year | Number of records | Accuracy | Magnitude range | Data mining methods |
| | [9] | 2019 | Medium | 83.2 | ≤4.9 | Statistical features-based approach (SFBA), multi-layer perceptron, regression | | [3] | 2020 | Medium | 79to 82 | ≤5.1 | Regression, multi precursor system, XGBoost, SVM, clustering | | [10] | 2021 | Large | 79.41 | ≤5.1 | SVM, KNN, regression | | [11] | 2021 | Medium | 80.7 | ≤3.9 | Time series, classification, magnitude and inter-event time (IET), through visibility graph, classification, random forest | | [12] | 2021 | Average | 81.4 | ≤4.8 | Decision tree, Radom Forest, XGBoost |
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