- Mastering Predictive Analytics with scikit:learn and TensorFlow
- Alan Fontaine
- 66字
- 2021-07-23 16:42:25
Training different regression models
The following screenshot shows the dataframe that we will use to record the metrics and the performance metrics that we will use for these models. Since this is a regression task, we will use the mean squared error. Here, in the columns, we have the four models that we will use. We will be using the KNN, Bagging, RandomForest, and Boosting variables:
推薦閱讀
- 繪制進程圖:可視化D++語言(第1冊)
- Introduction to DevOps with Kubernetes
- Managing Mission:Critical Domains and DNS
- 空間機器人遙操作系統及控制
- ServiceNow Cookbook
- 數據運營之路:掘金數據化時代
- Apache Superset Quick Start Guide
- 電腦日常使用與維護322問
- Visual C++項目開發案例精粹
- 筆記本電腦維修之電路分析基礎
- 網管員世界2009超值精華本
- 中小型網站建設與管理
- R:Predictive Analysis
- Kibana 7 Quick Start Guide
- 系統與服務監控技術實踐