Read on Wikipedia

Image: Nichtich · Public domain

Binary classification

Binary classification

Dividing things between two categories.

Super rare
50 views/day0 owners

No account needed. By playing, you confirm you're 13 or older and agree to the Terms of use.

No owners yet

Super rareTop 12%

Category: Empty

0 owners
0 copies
0 pulls
Wishlisted
0
In 0 albums
On 0 showcases
Market listings
0
Wikipedia views per dayLast 30 days 1,426

Not sold on the market yet.

Readers' pathsAug 2026 – Oct 2026

Readers go next to

Share of the 633 clicks on its links

  1. Evaluation of binary classifiers

    Quantitative measurement of accuracy.

    17%

  2. False positives and false negatives

    Types of error in data reporting.

    9.6%

  3. Precision and recall

    Pattern-recognition performance metrics.

    9.2%

  4. Logistic regression

    Statistical model for a binary dependent variable.

    7.1%

  5. Decision tree learning

    Machine learning algorithm.

    7%

  6. Bayesian network

    Probabilistic graphical representation of causal relationships.

    5.8%

  7. Medical test

    Medical procedure.

    4.4%

  8. Sensitivity and specificity

    Statistical measure of a binary classification.

    4.1%

  9. Support vector machine

    Set of methods for supervised statistical learning.

    3.8%

  10. Contingency table

    Table that displays the frequency of variables.

    3.6%

Readers come from

Share of the 1,331 readers arriving from another article

  1. False positives and false negatives

    Types of error in data reporting.

    30%

  2. Receiver operating characteristic

    Diagnostic plot of binary classifier ability.

    17%

  3. F-score

    Statistical measure of a test's accuracy.

    9.1%

  4. Logistic regression

    Statistical model for a binary dependent variable.

    5.9%

  5. Accuracy and precision

    Measures of observational error.

    5.3%

  6. Evaluation of binary classifiers

    Quantitative measurement of accuracy.

    2.8%

  7. Cross-validation (statistics)

    Statistical model validation technique.

    0.83%