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perfcurve method  (MathWorks Inc)


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    MathWorks Inc perfcurve method
    Comparison of the receive operating characteristic <t>(ROC)</t> <t>curve</t> according to the durations of data processing. The ROC curves and optimal cut-off points using data summation according to the durations of data processing (original 1 second, 2 minutes, 4 minutes, 6 minutes, 8 minutes, 10 minutes) are described. As the durations of data summation increases, the area under the curve values are increased as well. The optimal cut-off points according to the durations of data summation are represented as circles.
    Perfcurve Method, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/perfcurve method/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    perfcurve method - by Bioz Stars, 2026-03
    90/100 stars

    Images

    1) Product Images from "Prediction of Locomotor Activity by Infrared Motion Detector on Sleep-wake State in Mice"

    Article Title: Prediction of Locomotor Activity by Infrared Motion Detector on Sleep-wake State in Mice

    Journal: Clinical Psychopharmacology and Neuroscience

    doi: 10.9758/cpn.2021.19.2.303

    Comparison of the receive operating characteristic (ROC) curve according to the durations of data processing. The ROC curves and optimal cut-off points using data summation according to the durations of data processing (original 1 second, 2 minutes, 4 minutes, 6 minutes, 8 minutes, 10 minutes) are described. As the durations of data summation increases, the area under the curve values are increased as well. The optimal cut-off points according to the durations of data summation are represented as circles.
    Figure Legend Snippet: Comparison of the receive operating characteristic (ROC) curve according to the durations of data processing. The ROC curves and optimal cut-off points using data summation according to the durations of data processing (original 1 second, 2 minutes, 4 minutes, 6 minutes, 8 minutes, 10 minutes) are described. As the durations of data summation increases, the area under the curve values are increased as well. The optimal cut-off points according to the durations of data summation are represented as circles.

    Techniques Used: Comparison



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    perfcurve method  (MathWorks Inc)
    90
    MathWorks Inc perfcurve method
    Comparison of the receive operating characteristic <t>(ROC)</t> <t>curve</t> according to the durations of data processing. The ROC curves and optimal cut-off points using data summation according to the durations of data processing (original 1 second, 2 minutes, 4 minutes, 6 minutes, 8 minutes, 10 minutes) are described. As the durations of data summation increases, the area under the curve values are increased as well. The optimal cut-off points according to the durations of data summation are represented as circles.
    Perfcurve Method, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/perfcurve method/product/MathWorks Inc
    Average 90 stars, based on 1 article reviews
    perfcurve method - by Bioz Stars, 2026-03
    90/100 stars
    		  Buy from Supplier

    Image Search Results


    Comparison of the receive operating characteristic (ROC) curve according to the durations of data processing. The ROC curves and optimal cut-off points using data summation according to the durations of data processing (original 1 second, 2 minutes, 4 minutes, 6 minutes, 8 minutes, 10 minutes) are described. As the durations of data summation increases, the area under the curve values are increased as well. The optimal cut-off points according to the durations of data summation are represented as circles.

    Journal: Clinical Psychopharmacology and Neuroscience

    Article Title: Prediction of Locomotor Activity by Infrared Motion Detector on Sleep-wake State in Mice

    doi: 10.9758/cpn.2021.19.2.303

    Figure Lengend Snippet: Comparison of the receive operating characteristic (ROC) curve according to the durations of data processing. The ROC curves and optimal cut-off points using data summation according to the durations of data processing (original 1 second, 2 minutes, 4 minutes, 6 minutes, 8 minutes, 10 minutes) are described. As the durations of data summation increases, the area under the curve values are increased as well. The optimal cut-off points according to the durations of data summation are represented as circles.

    Article Snippet: The ‘perfcurve’ method in Matlab is utilized to perform the ROC curve analysis.

    Techniques: Comparison