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Boukhers Zeyd. Machine Learning and Data Mining. Lecture 3. Classification 2

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Boukhers Zeyd. Machine Learning and Data Mining. Lecture 3. Classification 2
The lecture, Institute for Web Science and Technologies, University of Koblenz-Landau, Germany, Dr. Zeyd Boukhers, 2019, 43 p.
Class imbalance problem.
k-nearest.
Classification.
Regression.
K-D tree.
Overfitting.
How to choose the best K.
Evaluation.
Confusion matrix.
Precision.
Recall.
F-Score.
Overall accuracy.
Bayesian classification.
Bayes theorem.
Naive Bayes.
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