![Cross Validation. In this article we will be discussing… | by Sahil Khandelwal | The Startup | Medium Cross Validation. In this article we will be discussing… | by Sahil Khandelwal | The Startup | Medium](https://miro.medium.com/v2/resize:fit:1400/0*cp1eKG5QFTF_KjZo.png)
Cross Validation. In this article we will be discussing… | by Sahil Khandelwal | The Startup | Medium
Data School - 🤖⚡ scikit-learn tip #31: If you use cross-validation and your samples are NOT in an arbitrary order, shuffling may be required to get meaningful results. Use KFold or StratifiedKFold
![SOLVED: from sklearn.svm import SVC from sklearn.ensemble import RandomForestClassifier from sklearn.modelselection import crossvalidate from sklearn.modelselection import KFold, StratifiedKFold from sklearn.modelselection import GridSearchCV from ... SOLVED: from sklearn.svm import SVC from sklearn.ensemble import RandomForestClassifier from sklearn.modelselection import crossvalidate from sklearn.modelselection import KFold, StratifiedKFold from sklearn.modelselection import GridSearchCV from ...](https://cdn.numerade.com/ask_images/5995d5e6873246dc877f428a83418ee3.jpg)