False positives and false negatives

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Related lectures (30)

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Understanding ROC Curves

Explores the ROC curve, True Positive Rate, False Positive Rate, and prediction probabilities in classification models.

Statistical Hypothesis Testing & Error Types

Covers statistical hypothesis testing and error types in neural signals processing.

Biometrics & Tokens: Advantages, Authentication, & Adversarial Reasoning

Explores biometrics, tokens, authentication processes, and adversarial reasoning in security engineering.

GLM: Statistical Hypothesis Testing

Explores statistical hypothesis testing, error types, thresholding, and multiple comparisons in GLM.

Hypothesis Testing: State of Nature

Explores hypothesis testing, emphasizing the state of nature and the importance of choosing the most powerful test.

Discrete Random Variables: Medical Testing

Explores discrete random variables, joint probabilities, and medical testing quality using Bayes' theorem.

Linear Regression: Basics

Covers the basics of linear regression, binary and multi-class classification, and evaluation metrics.

SVM: Generalization & Confidence

Explores SVM's generalization, lack of confidence in predictions, and risk of false positives, comparing it with GMM and KNN.

Multiple Testing Problem

Explores the challenges of multiple testing in genomic data analysis, covering error rate control, adjusted p-values, permutation tests, and pitfalls in hypothesis testing.

Linear Algebra: Properties and Operations

Explores subset properties, contraposition, and equivalence in linear algebra.