Classification model errors

Classification models accuracy is measured byallmean square erroraccuracy scoreroot mean square error

2. You need to evaluate a classification model. Which metric can you use? ​​Mean squared error (MSE)PrecisionSilhouette

Identify the incorrect numerical functions in the various function representation of machine learning.

You need to evaluate a classification model. Which metric can you use? ​​Mean squared error (MSE)PrecisionSilhouette

Find more data and re-train your classifier to classify the misclassified sample, show your new classifier works on the miss classified image