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Python CostSensitiveDecisionTreeClassifier Examples

WebImproved Cost-sensitive Random Forest for Imbalanced Classification 216 misclassification costs. The reduction of misclassification cost is defined as the difference between WebAbstract. Abstract: For the problem of effective classification on imbalanced data sets,a classifier combining cost-sensitive learning and random forest algorithm is proposed.Firstly,a new impurity measure is proposed,taking into account not only the total cost of the decision tree,but also the cost difference of the same node for different ... WebThe extracted features of the thyroid ultrasound images are sent to a Cost-sensitive Random Forest classifier to classify the images into "malignant" and "benign" cases. The experimental results show the proposed fine-tuned GoogLeNet model achieves excellent classification performance, attaining 98.29% classification accuracy, 99.10% ... chevy colorado cowl induction hood