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statistical and machine learning tools  (RStudio)

 
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    RStudio statistical and machine learning tools
    Statistical And Machine Learning Tools, supplied by RStudio, 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/statistical and machine learning tools/product/RStudio
    Average 90 stars, based on 1 article reviews
    statistical and machine learning tools - by Bioz Stars, 2026-04
    90/100 stars

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    Voltage U—RMSE: D-PNN = 1.153, SMLT (Tree) = 1.118 [V], 12 inputs + THDU (both D-PNN and SMLT) in the 2nd stage.

    Journal: Scientific Reports

    Article Title: Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models

    doi: 10.1038/s41598-022-21812-1

    Figure Lengend Snippet: Voltage U—RMSE: D-PNN = 1.153, SMLT (Tree) = 1.118 [V], 12 inputs + THDU (both D-PNN and SMLT) in the 2nd stage.

    Article Snippet: [A] Matlab—Statistics and Machine Learning tool-box for regression (SMLT) www.mathworks.com/help/stats/choose-regression-model-options.html . https://mathworks.com/help/stats/select-data-and-validation-for-regression-problem.html .

    Techniques:

    Power P—RMSE: D-PNN = 0.177, SMLT (GPR) = 0.182 [kW], 12 inputs + U + PF (D-PNN), 12 inputs + PF + THDU (SMLT) in the 3rd stage.

    Journal: Scientific Reports

    Article Title: Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models

    doi: 10.1038/s41598-022-21812-1

    Figure Lengend Snippet: Power P—RMSE: D-PNN = 0.177, SMLT (GPR) = 0.182 [kW], 12 inputs + U + PF (D-PNN), 12 inputs + PF + THDU (SMLT) in the 3rd stage.

    Article Snippet: [A] Matlab—Statistics and Machine Learning tool-box for regression (SMLT) www.mathworks.com/help/stats/choose-regression-model-options.html . https://mathworks.com/help/stats/select-data-and-validation-for-regression-problem.html .

    Techniques:

    THDU—RMSE: D-PNN = 0.429, SMLT (Tree) = 0.443 [%], 12 inputs + U (both D-PNN and SMLT) in the 2nd stage.

    Journal: Scientific Reports

    Article Title: Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models

    doi: 10.1038/s41598-022-21812-1

    Figure Lengend Snippet: THDU—RMSE: D-PNN = 0.429, SMLT (Tree) = 0.443 [%], 12 inputs + U (both D-PNN and SMLT) in the 2nd stage.

    Article Snippet: [A] Matlab—Statistics and Machine Learning tool-box for regression (SMLT) www.mathworks.com/help/stats/choose-regression-model-options.html . https://mathworks.com/help/stats/select-data-and-validation-for-regression-problem.html .

    Techniques:

    Power Factor PF—RMSE: D-PNN = 0.0516, SMLT (GPR) = 0.0496 [], 12 inputs + Pst + U (D-PNN, 12 inputs + Pst + THDU (SMLT) in the 3rd stage.

    Journal: Scientific Reports

    Article Title: Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models

    doi: 10.1038/s41598-022-21812-1

    Figure Lengend Snippet: Power Factor PF—RMSE: D-PNN = 0.0516, SMLT (GPR) = 0.0496 [], 12 inputs + Pst + U (D-PNN, 12 inputs + Pst + THDU (SMLT) in the 3rd stage.

    Article Snippet: [A] Matlab—Statistics and Machine Learning tool-box for regression (SMLT) www.mathworks.com/help/stats/choose-regression-model-options.html . https://mathworks.com/help/stats/select-data-and-validation-for-regression-problem.html .

    Techniques:

    Pst—RMSE: D-PNN = 0.811, SMLT (EBoosT) = 0.544 [], 12 inputs + Pst (both D-PNN and SMLT) in the 2nd stage.

    Journal: Scientific Reports

    Article Title: Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models

    doi: 10.1038/s41598-022-21812-1

    Figure Lengend Snippet: Pst—RMSE: D-PNN = 0.811, SMLT (EBoosT) = 0.544 [], 12 inputs + Pst (both D-PNN and SMLT) in the 2nd stage.

    Article Snippet: [A] Matlab—Statistics and Machine Learning tool-box for regression (SMLT) www.mathworks.com/help/stats/choose-regression-model-options.html . https://mathworks.com/help/stats/select-data-and-validation-for-regression-problem.html .

    Techniques:

    Voltage U 3-step model estimations.

    Journal: Scientific Reports

    Article Title: Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models

    doi: 10.1038/s41598-022-21812-1

    Figure Lengend Snippet: Voltage U 3-step model estimations.

    Article Snippet: [A] Matlab—Statistics and Machine Learning tool-box for regression (SMLT) www.mathworks.com/help/stats/choose-regression-model-options.html . https://mathworks.com/help/stats/select-data-and-validation-for-regression-problem.html .

    Techniques:

    Power P 3-step model estimations.

    Journal: Scientific Reports

    Article Title: Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models

    doi: 10.1038/s41598-022-21812-1

    Figure Lengend Snippet: Power P 3-step model estimations.

    Article Snippet: [A] Matlab—Statistics and Machine Learning tool-box for regression (SMLT) www.mathworks.com/help/stats/choose-regression-model-options.html . https://mathworks.com/help/stats/select-data-and-validation-for-regression-problem.html .

    Techniques:

    THDU 3-step model estimations.

    Journal: Scientific Reports

    Article Title: Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models

    doi: 10.1038/s41598-022-21812-1

    Figure Lengend Snippet: THDU 3-step model estimations.

    Article Snippet: [A] Matlab—Statistics and Machine Learning tool-box for regression (SMLT) www.mathworks.com/help/stats/choose-regression-model-options.html . https://mathworks.com/help/stats/select-data-and-validation-for-regression-problem.html .

    Techniques:

    Power Factor PF 3-step model estimations.

    Journal: Scientific Reports

    Article Title: Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models

    doi: 10.1038/s41598-022-21812-1

    Figure Lengend Snippet: Power Factor PF 3-step model estimations.

    Article Snippet: [A] Matlab—Statistics and Machine Learning tool-box for regression (SMLT) www.mathworks.com/help/stats/choose-regression-model-options.html . https://mathworks.com/help/stats/select-data-and-validation-for-regression-problem.html .

    Techniques:

    Pst 3-step model estimations.

    Journal: Scientific Reports

    Article Title: Power quality approximation for household equipment load combinations using a stepwise growth in input parameters of AI models

    doi: 10.1038/s41598-022-21812-1

    Figure Lengend Snippet: Pst 3-step model estimations.

    Article Snippet: [A] Matlab—Statistics and Machine Learning tool-box for regression (SMLT) www.mathworks.com/help/stats/choose-regression-model-options.html . https://mathworks.com/help/stats/select-data-and-validation-for-regression-problem.html .

    Techniques: