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examples/symbolic_regression/README.md

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@@ -202,14 +202,14 @@ def func(x, params):
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return restoring + forcing + interaction + bias
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```
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The ground truth for this PO10 task is represented by the equation:
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$$
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F_0sin(t)−ω_0^2(γt+1)x(t)−ω_0^2x(t)^3−ω_0^2x(t).
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$$
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The ground truth for this PO10 task is represented by the equation:
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$F_0sin(t)−ω_0^2(γt+1)x(t)−ω_0^2x(t)^3−ω_0^2x(t).$
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This can be expanded and simplified to:
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$$
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F_0sin(t)−ω_0^2γtx(t)−2ω_0^2x(t)−ω_0^2x(t)^3.
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$$
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$F_0sin(t)−ω_0^2γtx(t)−2ω_0^2x(t)−ω_0^2x(t)^3.$
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Notably, the core functional forms present in this ground truth equation are captured by the evolved symbolic expression:
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- The $sin(t)$ component can be represented by `params[4] * np.sin(params[5] * t_val)`.
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*Note: Below we extract the approximate results of baselines in Fig.5 from LLMSR-Bench paper.*
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**Median NMSE – in-domain (Test)**
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**Median NMSE (Test Set)**
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| **Domain** | **DirectLLM** | **LLMSR** | **LaSRS** | **GA** | **OpenEvolve** |
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| **Domain** | **Direct** | **LLMSR** | **LaSR** | **SGA** | **OpenEvolve** |
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| ---------------- | ------------- | --------------- | ----------- | ----------- | -------------- |
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| Chemistry | ~6.0 × 10⁻¹ | **~1.5 × 10⁻⁶** | ~1.0 × 10⁻⁴ | ~1.0 × 10⁻² | 2.34 × 10⁻⁶ |
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| Biology | ~2.0 × 10⁻² | ~1.0 × 10⁻⁵ | ~1.0 × 10⁻⁴ | ~2.0 × 10⁻⁴ ||
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| Physics | ~3.0 × 10⁻¹ | **~2.0 × 10⁻⁷** | ~1.0 × 10⁻³ | ~4.0 × 10⁻³ | 1.85 × 10⁻⁵ |
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| Material Science | ~3.0 × 10⁻¹ | ~1.0 × 10⁻⁴ | ~7.0 × 10⁻⁴ | ~3.0 × 10⁻² ||
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**Median NMSE – out-of-domain (OOD Test)**
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**Median NMSE (OOD Test Set)**
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| **Domain** | **DirectLLM** | **LLMSR** | **LaSRS** | **GA** | **OpenEvolve** |
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| **Domain** | **Direct** | **LLMSR** | **LaSR** | **SGA** | **OpenEvolve** |
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| ---------------- | ------------- | ----------- | ----------- | ---------- | --------------- |
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| Chemistry | ~3.0 × 10² | ~5.0 × 10⁻² | ~1.0 × 10⁰ | ~1.5 × 10⁰ | **3.14 × 10⁻²** |
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| Biology | ~1.2 × 10² | ~4.0 × 10⁰ | ~3.0 × 10¹ | ~4.0 × 10¹ ||

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