Research Article
Quantitative Analysis and Prediction of Global Terrorist Attacks Based on Machine Learning
Table 3
Description of parameters in ensemble learning models.
| | Parameter | Description |
| | n_estimators | Number of base classifiers | | random_state | Number of seeds of random number generator | | max_features | Maximum number of features involved in judgment when splitting nodes | | max_samples | Maximum number of samples | | min_samples_split | Minimum number of samples required for splitting |
|
|