Showing 1 - 20 results of 175 for search 'multiple visual prediction algorithm', query time: 0.26s Refine Results
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    Prediction of egg weight from egg quality characteristics via ridge regression and regression tree methods by Hikmet Orhan (12801823)

    Published 2022
    “…R2 (%) coefficients for RR and MLR methods were found as 93.15% and 93.4% without multicollinearity problems due to very low VIF values, varying from 1 to 2, respectively. Being a visual, non-parametric analysis technique, regression tree method (RTM) based on CHAID algorithm performed a very high predictive accuracy of 99.988% in the prediction of EW. …”
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    HD trajectory data. by Yijia Yan (49568)

    Published 2021
    Subjects:
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