Business Intelligence

2851 Words12 Pages
Introduction: The report focuses on data mining approach to predict human wine taste preferences. A large data set is considered with white and red wine samples (“Vinho Verde” wine from Portugal). The inputs include objective tests (e.g. PH values) and the output is based on sensory data (median of at least 3 evaluations made by wine experts). Each expert graded the wine quality between 0 (very bad) and 10 (very excellent). Due to privacy and logistic issues, only physicochemical (inputs) and sensory (the output) variables are available (e.g. there is no data about grape types, wine brand, wine selling price, etc.). Datasets Considered: Each record contains 12 attributes. Each record contains a set of attributes and one attribute…show more content…
idity volatile acidity citric acid residual sugar chlorides free sulfur dioxide total sulfur dioxide density pH sulphates alcohol R/W quality Test mode:10-fold cross-validation === Classifier model (full training set) === Linear Node 0 Inputs Weights Threshold -0.02275995959002934 Node 1 -0.653393136396115 Node 2 -0.7469969878051129 Node 3 -0.704911518425741 Node 4 -0.701794263076919 Node 5 0.5998183336312791 Node 6 0.3337874695758612 Sigmoid Node 1 Inputs Weights Threshold -14.592503430015068 Attrib fixed acidity 0.6573199798982804 Attrib volatile acidity -0.32516080283177706 Attrib citric acid 0.2564336792108779 Attrib residual sugar 2.0486838393264843 Attrib chlorides -0.7503764443370672 Attrib free sulfur dioxide -7.559699636268105 Attrib total sulfur dioxide -0.7037414666514369 Attrib density -0.12222961725416373 Attrib pH 2.173130400861142 Attribsulphates -8.301551882234396 Attrib alcohol -1.376404787081152 Attrib R/W -1.750605684541054 Sigmoid Node 2 Inputs Weights Threshold -3.645163438052926 Attrib fixed acidity -0.8389921784313095 Attrib volatile acidity 4.083424113977112 Attrib citric acid -6.32779829071717 Attrib residual sugar -1.2885398323120203 Attrib chlorides 1.7232054266992476 Attrib free sulfur dioxide 3.12473374735373 Attrib total sulfur dioxide -0.782474566415625 Attrib density 2.478505776050499

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