Research Article
Hybrid Machine Learning Model for Electricity Consumption Prediction Using Random Forest and Artificial Neural Networks
Table 2
Sampling procedures used for modeling.
| Sample | No. of cases and % in the subsample | 10-fold cross-validation |
| Training | 619,154 cases (70%) | Train: 557,238 cases (90% of learning subsample); cross-validation: 61,915 cases (10% of learning subsample) | Test | 265,352 cases (30%) | ā | Total | 884,505 cases (100%) | ā |
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