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Predict BigMart Sales using randomForest--II

Random forestDiscretize numerical columns
ashokharnal profile image
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Oct 26, 2019 4:25 AM
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This is a typical predictive analytics problem with both categorical and numeric variables. It is a regression problem. We use RandomForest. At data exploration stage, we explore if it would benefit performance if one or more of numeric columns are discretized. Also, we try to transform the skewed target vaiable to make it symmetrical using function: sqrt. (After prediction stage, we square the predicted output). To minimize uncertainity in the results, we loop over the partitioning, missing value imputation, modeling, predicting and scoring multiple times. We then calculate confidence interval of mean RMSE.

External resources

  • Big Mart Sales Problem on Analytics Vidhya
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Created with KNIME Analytics Platform version 4.0.2
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    KNIME CoreTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.2

    knime
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    KNIME Interactive R Statistics IntegrationTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.1

    knime
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    KNIME Math Expression (JEP)Trusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.2

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    KNIME Quick FormsTrusted extension

    KNIME AG, Zurich, Switzerland

    Version 4.0.2

    knime

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