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  2. Confusion matrix - Wikipedia

    en.wikipedia.org/wiki/Confusion_matrix

    In predictive analytics, a table of confusion (sometimes also called a confusion matrix) is a table with two rows and two columns that reports the number of true positives, false negatives, false positives, and true negatives. This allows more detailed analysis than simply observing the proportion of correct classifications (accuracy).

  3. Decision tree learning - Wikipedia

    en.wikipedia.org/wiki/Decision_tree_learning

    The goal is to create a model that predicts the value of a target variable based on several input variables. A decision tree is a simple representation for classifying examples. For this section, assume that all of the input features have finite discrete domains, and there is a single target feature called the "classification".

  4. N2 chart - Wikipedia

    en.wikipedia.org/wiki/N2_Chart

    The N 2 chart or N 2 diagram (pronounced "en-two" or "en-squared") is a chart or diagram in the shape of a matrix, representing functional or physical interfaces between system elements. It is used to systematically identify, define, tabulate, design, and analyze functional and physical interfaces.

  5. Contingency table - Wikipedia

    en.wikipedia.org/wiki/Contingency_table

    Confusion matrix; Pivot table, in spreadsheet software, cross-tabulates sampling data with counts (contingency table) and/or sums. TPL Tables is a tool for generating and printing crosstabs. The iterative proportional fitting procedure essentially manipulates contingency tables to match altered joint distributions or marginal sums.

  6. Talk:Confusion matrix - Wikipedia

    en.wikipedia.org/wiki/Talk:Confusion_matrix

    A matrix showing the predicted and actual classifications. A confusion matrix is of size l × l, where l is the number of different label values. The following confusion matrix is for l = 2: followed by the matrix. It does not, however, state that that is the standard convention, the matrix could be merely an example.

  7. Bootstrap aggregating - Wikipedia

    en.wikipedia.org/wiki/Bootstrap_aggregating

    Bootstrap aggregating, also called bagging (from bootstrap aggregating) or bootstrapping, is a machine learning (ML) ensemble meta-algorithm designed to improve the stability and accuracy of ML classification and regression algorithms.

  8. Package diagram - Wikipedia

    en.wikipedia.org/wiki/Package_diagram

    A package import is "a directed relationship between an importing namespace and a package, indicating that the importing namespace adds the names of the members of the package to its own namespace." [2] By default, an unlabeled dependency between two packages is interpreted as a package import relationship. In this relationship, elements within ...

  9. List of causal mapping software - Wikipedia

    en.wikipedia.org/wiki/List_of_Causal_Mapping...

    An environment for editing, analysing and creating causal diagrams. Features: Directed links; Display as a network; Display causal influence via networks; Corresponding R package 'daggity' Offline & Online Free Decision Explorer [4] Full release A tool to help understand qualitative information. Features: Directed links; Quantitative analysis ...