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decision tree mushroom

Decision tree classification model -- mushroom data1. Data is read from the table file2. Visualizing the histogram of each feature3. Removing the uninformative column veil-type4. Partitioning to the training data (80%) and testing data (20%)5. Decision tree learner (training the model) and predictor (predictions based on the trained model)6. Model assessment reading themushroom dataExamining the dataremove veil-typeTrainingdecision treemodelTraining (80%)Testing (20%)Prediction withthe trained modelAssigningcolors totargetModel evaluation Table Reader Data Explorer Column Filter DecisionTree Learner Partitioning Decision TreePredictor Color Manager Scorer (JavaScript) ROC Curve Decision tree classification model -- mushroom data1. Data is read from the table file2. Visualizing the histogram of each feature3. Removing the uninformative column veil-type4. Partitioning to the training data (80%) and testing data (20%)5. Decision tree learner (training the model) and predictor (predictions based on the trained model)6. Model assessment reading themushroom dataExamining the dataremove veil-typeTrainingdecision treemodelTraining (80%)Testing (20%)Prediction withthe trained modelAssigningcolors totargetModel evaluation Table Reader Data Explorer Column Filter DecisionTree Learner Partitioning Decision TreePredictor Color Manager Scorer (JavaScript) ROC Curve

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