Polynomial regression model.py
Dataset description:
使用釩摻雜的鎳鈷層狀雙氫氧化合物之過電位資料集訓練本模型,透過隨機森林挑選權重較高的特徵進行多項式回歸模型的訓練,後續透過Pipeline與網格搜索,設置完整的模型訓練流程與最佳參數的尋找。訓練期間使用留一法交叉驗證( Leave-One-Out Cross-Validation)作為交叉驗證的方法,並得到RMSE=0.0162的低值。訓練完的模型展現出R2=...
Source: 釩摻雜的鎳鈷層狀雙氫氧化合物之製程優化模型
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Additional Information
| Field | Value |
|---|---|
| Data last updated | July 22, 2025 |
| Metadata last updated | July 22, 2025 |
| Created | July 15, 2025 |
| Format | text/x-python |
| Id | 5c986f02-a77c-4b4b-adfc-9300a3d7627a |
| Mimetype | text/x-python |
| Nchu ddl resource filetype | 基礎工具 |
| On same domain | True |
| Package id | e166a922-ef2d-4421-9d72-20cb57d2f706 |
| Size | 15.9 KiB |
| State | active |
| Url type | upload |
