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  2. ID3 algorithm - Wikipedia

    en.wikipedia.org/wiki/ID3_algorithm

    In decision tree learning, ID3 (Iterative Dichotomiser 3) is an algorithm invented by Ross Quinlan [1] used to generate a decision tree from a dataset. ID3 is the precursor to the C4.5 algorithm , and is typically used in the machine learning and natural language processing domains.

  3. EasyTag - Wikipedia

    en.wikipedia.org/wiki/EasyTag

    EasyTag runs on Linux and Microsoft Windows, and there was an attempt to bring EasyTAG to OS X circa 2014. [2] It is written in C and relies on GTK+ and id3lib for graphics and ID3 tag handling respectively. As of version 2.1.1, EasyTag also uses the tag manipulation library provided by the MAD project, for support of ID3v2.4.

  4. C4.5 algorithm - Wikipedia

    en.wikipedia.org/wiki/C4.5_algorithm

    C4.5 is an algorithm used to generate a decision tree developed by Ross Quinlan. [1] C4.5 is an extension of Quinlan's earlier ID3 algorithm.The decision trees generated by C4.5 can be used for classification, and for this reason, C4.5 is often referred to as a statistical classifier.

  5. Ross Quinlan - Wikipedia

    en.wikipedia.org/wiki/Ross_Quinlan

    C5.0, which Quinlan is commercially selling (single-threaded version is distributed under the terms of the GNU General Public License), is an improvement on C4.5.The advantages are speed (several orders of magnitude faster), memory efficiency, smaller decision trees, boosting (more accuracy), ability to weight different attributes, and winnowing (reducing noise).

  6. CN2 algorithm - Wikipedia

    en.wikipedia.org/wiki/CN2_algorithm

    The CN2 induction algorithm is a learning algorithm for rule induction. [1] It is designed to work even when the training data is imperfect. It is based on ideas from the AQ algorithm and the ID3 algorithm. As a consequence it creates a rule set like that created by AQ but is able to handle noisy data like ID3.

  7. Recursive partitioning - Wikipedia

    en.wikipedia.org/wiki/Recursive_partitioning

    Well known methods of recursive partitioning include Ross Quinlan's ID3 algorithm and its successors, C4.5 and C5.0 and Classification and Regression Trees (CART). Ensemble learning methods such as Random Forests help to overcome a common criticism of these methods – their vulnerability to overfitting of the data – by employing different ...

  8. File:ID3 algorithm decision tree.svg - Wikipedia

    en.wikipedia.org/wiki/File:ID3_algorithm...

    You are free: to share – to copy, distribute and transmit the work; to remix – to adapt the work; Under the following conditions: attribution – You must give appropriate credit, provide a link to the license, and indicate if changes were made.

  9. Rule induction - Wikipedia

    en.wikipedia.org/wiki/Rule_induction

    Data mining in general and rule induction in detail are trying to create algorithms without human programming but with analyzing existing data structures. [ 1 ] : 415- In the easiest case, a rule is expressed with “if-then statements” and was created with the ID3 algorithm for decision tree learning.