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  1. ScienceDirect
    https://www.sciencedirect.com › science › article › pii

    Computerized adaptive test and decision trees: A unifying approach

    • In the last few years, several articles have proposed decision trees (DTs) as an alternative to computerized adapted tests (CATs). These works have focused on showing the differences between the two methods wit… 展开

    Highlights

    ••
    Tree-CAT, a decision tree-based technique for building CATs is … 展开

    ScienceDirect
    1. Introduction

    Computerized Adaptive Tests (CATs) are sophisticated tests capable of improving the accuracy of conventional tests while administering a much smaller number of items (Weiss, 20… 展开

    ScienceDirect
    2. Representing an unconstrained CAT in a tree structure

    In this section we show that a CAT without exposure control can be represented in a tree structure. This representation enables a fast selection (in the order of milliseconds) of t… 展开

    ScienceDirect
    3. Building a CAT with minimum MSE

    DTs are supervised methods built by minimising the square error in the estimation of an explanatory variable (Rokach & Maimon, 2014). As mentioned above, the availa… 展开

    ScienceDirect
    4. Tree-CAT: a CAT with controlled item exposure rate and minimum MSE

    In this section, we propose a method for building a CAT that minimises the MSE with controlled maximum exposure rate (proportion of the individuals taking the test that receive a pa… 展开

    ScienceDirect
    What is a decision tree in catboost?
    Decision trees are a fundamental part of many machine learning algorithms, including CatBoost. They are predictive models that utilize a tree-like graph to map decisions and their possible consequences. In the context of CatBoost, decision trees are used as base learners, forming the foundation of the boosting process.
    geeksforgeeks.org
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    目录
    Highlights
    1. Introduction
    2. Representing an unconstrained CAT in a tree structure
    3. Building a CAT with minimum MSE
    4. Tree-CAT: a CAT with controlled item exposure rate and minimum MSE
    What is a decision tree in catboost?
     
  1. Tree-CAT, a decision tree-based technique for building CATs is presented. It builds an adaptive test with minimum mean square error. It reduces the item-selection time to milliseconds.
    Author: David Delgado-Gómez, Juan C. Laria, Diego Ruiz-Hernández
    Publish Year: 2019

    Computerized adaptive test and decision trees: A unifying approach

    www.sciencedirect.com/science/article/pii/S0957417418306298
    www.sciencedirect.com/science/article/pii/S0957417418306298
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  2. 其他用户还问了以下问题
    Are decision trees a good alternative to cats?
    In recent years, Decision Trees (DTs) have been proposed as an alternative to CATs. One of the main advantages of the DTs is that the complete test can be designed in advance (using a tree structure) and applied to the examinee without delay, avoiding the item selection step and the associated computational cost.

    Computerized adaptive test and decision trees: A unifying approach

    sciencedirect.com
    Do decision trees reduce computational cost in the creation of cats?
    Decision Trees (DTs) have been proposed to reduce the computational cost in the creation of CATs. (Yan et al. 2004) used regression trees to predict the participants total score. A remarkable feature of this work is the merge of nodes to maintain a sufficient sample size to perform the partitions.

    cat.dt: An R package for fast construction of accurate Computerized

    journal.r-project.org
    What is a decision tree in catboost?
    Decision trees are a fundamental part of many machine learning algorithms, including CatBoost. They are predictive models that utilize a tree-like graph to map decisions and their possible consequences. In the context of CatBoost, decision trees are used as base learners, forming the foundation of the boosting process.

    CatBoost Decision Trees and Boosting Process - GeeksforGeeks

    geeksforgeeks.org
    What is merged tree-cat method for building cats using a DT structure?
    In this article, we have presented the Merged Tree-CAT method for building CATs using a DT structure. Like the original Tree-CAT method, this method creates the test before it is administered, instantly supplying the items to the participants.

    Merged Tree-CAT: A fast method for building precise computerized ada…

    sciencedirect.com
    What is the difference between randomesque and tree-cat?
    In contrast, randomesque and Tree-CAT methods are able to administer the test simultaneously. Moreover, whereas the tree alternative methods select the next item on-line, Tree-CAT generates the whole tree at once, which means that the time required for generating the next item is, indeed, zero.

    Computerized adaptive test and decision trees: A unifying approach

    sciencedirect.com
    Is tree-cat equivalence between IRT-based cats and DTS?
    Recently, (Delgado-Gómez et al. 2019) mathematically proved the equivalence between IRT-based CATs and DTs when the MEPV item selection criterion is used, proposing the Tree-CAT method, which integrates both methodologies.

    cat.dt: An R package for fast construction of accurate Computerized

    journal.r-project.org
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  3. ScienceDirect
    https://www.sciencedirect.com › science › article › abs › pii

    Computerized adaptive test and decision trees: A unifying approach

  4. GeeksForGeeks
    https://www.geeksforgeeks.org › catboost-decision...

    CatBoost Decision Trees and Boosting Process - GeeksforGeeks

  5. IEEE Xplore
    https://ieeexplore.ieee.org › document

    Personality Type Prediction using Decision Tree, GBDT, and Cat …

  6. ScienceDirect
    https://www.sciencedirect.com › science › article › pii

    Merged Tree-CAT: A fast method for building precise …

  7. Decision Tree Cat的图片

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  8. The R Journal
    https://journal.r-project.org › articles

    cat.dt: An R package for fast construction of accurate …

    2021年10月19日 · Unlike existing packages, the cat.dt package represents the CAT in a Decision Tree (DT) structure. This allows building the test before its administration, ensuring that the creation time of the test is independent of the …

  9. iacat.org
    http://www.iacat.org › sites › default › files › biblio
    [PDF]

    The Use of Decision Trees for Adaptive Item Selection and …

  10. The R Journal
    https://journal.r-project.org › articles
    [PDF]

    cat.dt: An R package for fast construction of accurate …

  11. rdrr.io
    https://rdrr.io › cran › cat.dt

    cat.dt: Computerized Adaptive Testing and Decision Trees

  12. The R Journal
    https://journal.r-project.org › archive › index.html

    cat.dt: An R package for ... The R Journal