Baseline Forecast Algorithm
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A Baseline Forecast Algorithm is a forecasting algorithm that provides simple benchmark predictions for performance comparisons.
- AKA: Benchmark Forecast Algorithm, Reference Forecast Algorithm, Naive Forecast Algorithm, Simple Baseline Algorithm.
- Context:
- It can typically generate baseline forecast algorithm predictions using minimal assumptions.
- It can typically serve as baseline forecast algorithm benchmarks for complex models.
- It can typically require baseline forecast algorithm computations with low complexity.
- It can often outperform baseline forecast algorithm competitors on stable time series.
- It can often provide baseline forecast algorithm references for improvement measurements.
- It can often combine in baseline forecast algorithm ensembles with sophisticated methods.
- It can range from being a Static Baseline Forecast Algorithm to being a Dynamic Baseline Forecast Algorithm, depending on its adaptation capability.
- It can range from being a Univariate Baseline Forecast Algorithm to being a Multivariate Baseline Forecast Algorithm, depending on its input dimension.
- It can range from being a Deterministic Baseline Forecast Algorithm to being a Stochastic Baseline Forecast Algorithm, depending on its randomness incorporation.
- It can range from being a Memory-Free Baseline Forecast Algorithm to being a History-Based Baseline Forecast Algorithm, depending on its data usage.
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- Examples:
- Persistence Baseline Forecast Algorithms, such as:
- Trend-Based Baseline Forecast Algorithms, such as:
- Seasonal Baseline Forecast Algorithms, such as:
- ...
- Counter-Examples:
- Machine Learning Forecast Algorithm, which uses complex learning.
- Deep Learning Forecast Algorithm, which employs neural networks.
- Ensemble Forecast Algorithm, which combines multiple models.
- See: Forecasting Algorithm, No-Change Forecast Algorithm, Trend Extrapolation Forecast Algorithm, Benchmark Algorithm, Naive Forecast Method, Time Series Forecasting, Performance Baseline, Simple Prediction Model, Forecast Comparison.