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玄関ドアノブの種類と名前を画像で解説 部品選びのポイントも紹介 生活救急車 玄関 ドアノブ ドアノブ ドア
Navie Bayes and Decision Tree Which One Gives Best Results
Compare the results between your Decision Tree and the Naive Bayes algorithm. These are the results of a classification problem using decision tree naive bayes and 1-nearest-neighbor as classifiers. Classification Algorithms Random Forest And Naive Bayes Decision trees are easy to use for small amounts of classes. . KNN is insensitive to outliers decision tree is good at dealing with irrelevant features Naïve Bayes is good for handling multiple classes and. Naive Bayes is used a lot in robotics and computer vision and does quite well with those tasks. It outperforms Decision Tree and k-Nearest Neighbor on all parameters but precision. Table 5 describes the datasets used in experimental analysis. The performances of both of the proposed hybrid decision tree and naïve Bayes algorithms are tested on 10 real benchmark datasets from UCI machine learning repository Frank Asuncion 2010. Naive Bayes classifiers are a collection of...
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