The conversation between human and AI assistant.
How do I use a training set combined with confidence level to classify the samples in a test set?
Sure, I have a dataset of images and I want to classify them into different categories. I have a training set of labeled images and I want to use that to classify the non-labeled test set images.
Great! To classify the samples in the test set, you can use machine learning algorithms like logistic regression or support vector machines, which are trained on the labeled images in your training set. Then, you use the resulting model to predict the label of each image in the test set. The confidence level can be used to determine how certain the model is about its prediction for each image.