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Update README.md #237

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18 changes: 10 additions & 8 deletions README.md
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Expand Up @@ -37,14 +37,16 @@ julia> Pkg.add("EvoTrees")

## Performance

Data consists of randomly generated `Matrix{Float64}`. Training is performed on 200 iterations. Code to reproduce is [here](https://github.com/Evovest/EvoTrees.jl/blob/main/benchmarks/regressor.jl).
Data consists of randomly generated `Matrix{Float64}`. Training is performed on 200 iterations.
Code to reproduce is availabe in [`benchmarks/regressor.jl`](https://github.com/Evovest/EvoTrees.jl/blob/main/benchmarks/regressor.jl).

EvoTrees: v0.15.0
XGBoost: v2.3.0
Julia v1.9.1

CPU: 12 threads on AMD Ryzen 5900X
GPU: NVIDIA RTX A4000
- Run Environment:
- CPU: 12 threads on AMD Ryzen 5900X.
- GPU: NVIDIA RTX A4000.
- Julia: v1.9.1.
- Algorithms
- XGBoost: v2.3.0 (Using the `hist` algorithm).
- EvoTrees: v0.15.0.

### Training:

Expand All @@ -58,7 +60,7 @@ GPU: NVIDIA RTX A4000

### Inference:

| Dimensions / Algo | XGBoost Hist | EvoTrees | XGBoost GPU | EvoTrees GPU |
| Dimensions / Algo | XGBoost CPU | EvoTrees | XGBoost GPU | EvoTrees GPU |
|---------------------|:------------:|:--------:|:-----------:|:------------:|
| 100K x 100 | 0.151s | 0.053s | NA | 0.036s |
| 500K x 100 | 0.628s | 0.276s | NA | 0.169s |
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