Top "Supervised-learning" questions

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

What is the difference between supervised learning and unsupervised learning?

In terms of artificial intelligence and machine learning, what is the difference between supervised and unsupervised learning? Can you provide …

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Can anyone give a real life example of supervised learning and unsupervised learning?

I recently studied about supervised learning and unsupervised learning. From theory, I know that supervised means getting the information from …

machine-learning deep-learning data-mining supervised-learning unsupervised-learning
Calculate sklearn.roc_auc_score for multi-class

I would like to calculate AUC, precision, accuracy for my classifier. I am doing supervised learning: Here is my working …

python scikit-learn supervised-learning
Naive Bayes vs. SVM for classifying text data

I'm working on a problem that involves classifying a large database of texts. The texts are very short (think 3-8 …

machine-learning scikit-learn theory supervised-learning
Plot SVM with Matplotlib?

I have some interesting user data. It gives some information on the timeliness of certain tasks the users were asked …

python-3.x plot scikit-learn supervised-learning
Convolutional Neural Network (CNN) for Audio

I have been following the tutorials on DeepLearning.net to learn how to implement a convolutional neural network that extracts …

neural-network convolution feature-extraction supervised-learning deep-learning
How to compute precision,recall and f1 score of an imbalanced dataset for K fold cross validation with 10 folds in python

I have an imbalanced dataset containing binary classification problem.I have built Random Forest Classifier and used k fold cross …

python scikit-learn random-forest cross-validation supervised-learning
what is distant supervision?

According to my understanding, Distant Supervision is the process of specifying the concept which the individual words of a passage, …

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Interpreting the DecisionTreeRegressor score?

I am trying to evaluate a relevance of features and I am using DecisionTreeRegressor() The related part of the code …

python machine-learning scikit-learn decision-tree supervised-learning