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Lecture 3a: Basic Concepts of Machine Learning – Induction & Evaluation (ML4LT 2015)

by Marina Santini • 11 November, 2015 • 0 Comments

Test Options - Weka

Lecture 3a: Induction pipeline. Performance evaluation.

Lecture 3: Basic Concepts of Machine Learning – Induction & Evaluation from Marina Santini
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Tags: Accuracy Confusion matrix Crossvalidation development set f-measure Hyperparameters induction Induction pipeline Leave one out Parameters precision recall Stratification test set training set

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← Lecture 2: Understanding and Preprocessing Data (ML4LT 2015)
Lecture 3b: Decision Trees (Part 1) (ML4LT) →

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