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tree ensemble learner/predictor  (KNIME GmbH)

 
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    KNIME GmbH tree ensemble learner/predictor
    Tree Ensemble Learner/Predictor, supplied by KNIME GmbH, 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/product/tree+ensemble+predictor/tree+ensemble+learner/pm37572442-92-4-4
    Average 90 stars, based on 1 article reviews
    tree ensemble learner/predictor - by Bioz Stars, 2026-09
    90/100 stars

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    Related Articles

    other:

    Article Title: Data mining approach for predicting the daily Internet data traffic of a smart university
    Article Snippet: The model performance evaluation result shows that the Tree Ensemble predictor had the best accuracy while the Decision Tree predictor had the least accuracy for the internet download prediction on KNIME.

    Data-dependent acquisition:

    Article Title: The impact of engineering students' performance in the first three years on their graduation result using educational data mining
    Article Snippet: .. Six (6) main data mining algorithms: the Probabilistic Neural Network (PNN) based on the DDA (Dynamic Decay Adjustment), the Random Forest Predictor, the Decision Tree Predictor, the Naïve Bayes Predictor, the Tree Ensemble Predictor, and the Logistic Regression Predictor were applied in the KNIME model for predicting the class of grade of the final CGPA of the students at graduation. .. The data mining algorithms were applied as pre-configured by the developers with the class of grade selected as the target column, further information on the algorithms and configuration can be sourced from KNIME and NodePit online documentations ( ; ).



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