- Analyzing and Predicting Songs w/ k-Nearest, Logistic Regression & Random Forest https://medium.com/mlreview/spotify-analyzing-and-predicting-songs-58827a0fa42b 4 comments learnmachinelearning
Linked pages
- Medium https://medium.com/m/signin?isDraft=1&operation=login&redirect=https%3A%2F%2Fmedium.com%2F%40jamie_34747%2F79d382edf22b%3Fsource%3D 19 comments
- Precision and recall - Wikipedia https://en.wikipedia.org/wiki/Precision_and_recall 12 comments
- Python (programming language) - Wikipedia https://en.m.wikipedia.org/wiki/Python_(programming_language) 9 comments
- Logistic regression - Wikipedia http://en.wikipedia.org/wiki/Logistic_regression#Model_accuracy 8 comments
- sklearn.ensemble.RandomForestClassifier — scikit-learn 1.3.2 documentation https://scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomForestClassifier.html 7 comments
- sklearn.model_selection.GridSearchCV — scikit-learn 1.2.1 documentation https://scikit-learn.org/stable/modules/generated/sklearn.model_selection.GridSearchCV.html 5 comments
- k-nearest neighbors algorithm - Wikipedia https://en.wikipedia.org/wiki/K-nearest_neighbors_algorithm 1 comment
- Receiver operating characteristic - Wikipedia https://en.wikipedia.org/wiki/Receiver_operating_characteristic 0 comments
- Random forest - Wikipedia http://en.wikipedia.org/wiki/Random_forest 0 comments
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