![r - Is K = 1 is good for KNN, when error is min, accuracy is max and even AUROC is Max for that value of K? - Cross Validated r - Is K = 1 is good for KNN, when error is min, accuracy is max and even AUROC is Max for that value of K? - Cross Validated](https://i.stack.imgur.com/luyR1.png)
r - Is K = 1 is good for KNN, when error is min, accuracy is max and even AUROC is Max for that value of K? - Cross Validated
![SOLVED: TTT Xz 71 25 3 77 T5 2 3 Assume that we are using kNN for classifying the data points given above What is the leave-one-out cross- validation error of 1-NN on SOLVED: TTT Xz 71 25 3 77 T5 2 3 Assume that we are using kNN for classifying the data points given above What is the leave-one-out cross- validation error of 1-NN on](https://cdn.numerade.com/ask_images/76accb2eaa49435db9d2a11c0f678cf3.jpg)
SOLVED: TTT Xz 71 25 3 77 T5 2 3 Assume that we are using kNN for classifying the data points given above What is the leave-one-out cross- validation error of 1-NN on
![Sensors | Free Full-Text | A Comparative Study of the Use of Stratified Cross-Validation and Distribution-Balanced Stratified Cross-Validation in Imbalanced Learning Sensors | Free Full-Text | A Comparative Study of the Use of Stratified Cross-Validation and Distribution-Balanced Stratified Cross-Validation in Imbalanced Learning](https://www.mdpi.com/sensors/sensors-23-02333/article_deploy/html/images/sensors-23-02333-g001.png)
Sensors | Free Full-Text | A Comparative Study of the Use of Stratified Cross-Validation and Distribution-Balanced Stratified Cross-Validation in Imbalanced Learning
![scikit learn - Learning curve for kNN train set doesn't change with training size. Why? - Cross Validated scikit learn - Learning curve for kNN train set doesn't change with training size. Why? - Cross Validated](https://i.stack.imgur.com/62WlD.png)
scikit learn - Learning curve for kNN train set doesn't change with training size. Why? - Cross Validated
![How to deal with Cross-Validation based on KNN algorithm, Compute AUC based on Naive Bayes algorithm | by Qiping Sun | Medium How to deal with Cross-Validation based on KNN algorithm, Compute AUC based on Naive Bayes algorithm | by Qiping Sun | Medium](https://miro.medium.com/v2/resize:fit:608/1*41ayfRWwMdgNkcNS3ranyQ.jpeg)
How to deal with Cross-Validation based on KNN algorithm, Compute AUC based on Naive Bayes algorithm | by Qiping Sun | Medium
GitHub - hamodey/kNN-with-Cross-Validation: Working with simple Machine Learning in python using the Jupyter notebook env. Simple ML classification algorithm and regression algorithm implementations
![SOLVED: Consider the dataset in this following figure. If you are running 10-fold cross validation and KNN algorithm with K=3,what will be the error? + SOLVED: Consider the dataset in this following figure. If you are running 10-fold cross validation and KNN algorithm with K=3,what will be the error? +](https://cdn.numerade.com/ask_images/d95325b463ab43cf8b3d050f601e0118.jpg)
SOLVED: Consider the dataset in this following figure. If you are running 10-fold cross validation and KNN algorithm with K=3,what will be the error? +
![Cross-validation using KNN. Understanding cross-validation, it's… | by Deepak Jain | Towards Data Science Cross-validation using KNN. Understanding cross-validation, it's… | by Deepak Jain | Towards Data Science](https://miro.medium.com/v2/resize:fit:964/1*FVErT3a4w01EYg0pWnCWHA.png)
Cross-validation using KNN. Understanding cross-validation, it's… | by Deepak Jain | Towards Data Science
![Cross-validation using KNN. Understanding cross-validation, it's… | by Deepak Jain | Towards Data Science Cross-validation using KNN. Understanding cross-validation, it's… | by Deepak Jain | Towards Data Science](https://miro.medium.com/v2/resize:fit:500/1*h0LlhxM5WNulplOkLf90nA.png)