Top "Supervised-learning" questions

Supervised learning is the machine learning task of inferring a function from labeled training data.

Plot learning curves with caret package and R

I would like to study the optimal tradeoff between bias/variance for model tuning. I'm using caret for R which …

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How do I use principal component analysis in supervised machine learning classification problems?

I have been working through the concepts of principal component analysis in R. I am comfortable with applying PCA to …

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random forests: Does it make any difference if the test-set is also labeled?

All the examples I can find of making predictions using random forests already have the actual answers (i.e. the …

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Labelling new data using trained Gaussian Mixture Model

I am not sure how to do the prediction for some new data using trained Gaussian Mixture Model (GMM). For …

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Supervised learning(document classification) using deep learning techniques

I was reading the papers on deep learning. Most of them refer to unsupervised learning. They also say the neurons …

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Use pretrained model with different input shape and class model

I am working on a classification problem using CNN where my input image size is 64X64 and I want to …

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