- Mastering Predictive Analytics with scikit:learn and TensorFlow
- Alan Fontaine
- 72字
- 2021-07-23 16:42:27
Logistic regression model
As in scikit-learn, we just import the object and then instantiate the estimator, and then pass training set X and training set Y to the fit() method. First, we will predict the test dataset and then produce the accuracy, precision, and recall scores. The following screenshot shows the code and the confusion matrix as the output:
Later, we will save these into our pandas dataframe that we just created.
推薦閱讀
- 基于C語言的程序設(shè)計
- 大數(shù)據(jù)項目管理:從規(guī)劃到實現(xiàn)
- 并行數(shù)據(jù)挖掘及性能優(yōu)化:關(guān)聯(lián)規(guī)則與數(shù)據(jù)相關(guān)性分析
- 計算機應用復習與練習
- Hands-On Data Science with SQL Server 2017
- Arduino &樂高創(chuàng)意機器人制作教程
- 信息物理系統(tǒng)(CPS)測試與評價技術(shù)
- 分析力!專業(yè)Excel的制作與分析實用法則
- 網(wǎng)絡(luò)安全技術(shù)及應用
- INSTANT Puppet 3 Starter
- AI的25種可能
- 菜鳥起飛電腦組裝·維護與故障排查
- 網(wǎng)絡(luò)安全概論
- QTP自動化測試實踐
- Eclipse全程指南