- Advanced Machine Learning with R
- Cory Lesmeister Dr. Sunil Kumar Chinnamgari
- 51字
- 2021-06-24 14:24:41
Modeling and evaluation
Now we'll discuss various aspects of modeling and assessment. In both the KNN and SVM cases, we'll do feature selection using a technique known as Recursive Feature Elimination (RFE) in conjunction with cross-validation. As with all feature reduction and selection, this will help to prevent overfitting the model.
推薦閱讀
- Istio入門與實戰
- 電腦軟硬件維修大全(實例精華版)
- Android NDK Game Development Cookbook
- The Applied AI and Natural Language Processing Workshop
- Artificial Intelligence Business:How you can profit from AI
- 計算機組裝與維護(第3版)
- 計算機組裝維修與外設配置(高等職業院校教改示范教材·計算機系列)
- Istio服務網格技術解析與實踐
- LPC1100系列處理器原理及應用
- 觸摸屏應用技術從入門到精通
- 嵌入式系統原理及應用:基于ARM Cortex-M4體系結構
- FPGA實驗實訓教程
- The Deep Learning with PyTorch Workshop
- Advanced Machine Learning with R
- MicroPython Cookbook