naive model 中文意思是什麼
naive model
解釋
簡單模型-
As stated, the model(1)is too naive.
上面已說過，模型（1）是太簡單了。 -
Mixed naive bayes classifier model
混合式樸素貝葉斯分類模型 -
The key of model learning of semi - naive bayesian classifier is how to combine feature attributes effectively
目前半樸素貝葉斯分類模型學習的關鍵是如何有效組合特徵屬性。 -
The integrate model of the application of computer simulation into scientific discovery learning shows significant promoting effects upon the students " ability of the flexible application of the knowledge ; 4. the students " physics basis have very significant effects upon their scientific discovery learning ; 5. the integrate situation model basically realizes the complementary advantages between computer simulation situation experiments and the real situation experiments, but it exposes some drawbacks in the aspect of students " understanding of the nature of experiment exploring and students " changing of naive conception
針對實驗一的結果，實驗二對基本模式進行了修正，整合進了真實探索情境，結果表明，與基於真實探索情境的科學發現學習模式相比：計算機模擬應用於科學發現學習的整合模式對學生原理性知識的掌握表現出非常顯著的促進作用；計算機模擬應用於科學發現學習的整合模式對學生的直覺性理解未表現山顯著的促進作用；計算機模擬應用於科學發現學習的整合模式對學生的靈活應用表現出顯著的促進作用；學生的物理基礎對其科學發現學習具有非常顯著的影響；整合情境模式基本實現了計算機模擬情境和真實情境的優勢互補，但在學生對實驗探索的理解和樸素概念的轉變上也暴露出了一些不足之處。 -
Because of ineffectiveness of naive bayes model for text classification, this thesis proposed integrating boosting theory of machine learning in classification process, boost naive bayes categorization model through many times training. improved by experiments, mutual information and naive bayes integrated with boosting bring very good precision, recall, and f1 score
鑒于樸素貝葉斯的分類效果不佳，本論文又提出將機器學習中的boosting思想結合到樸素貝葉斯的分類模型中，對樸素貝葉斯模型進行提升，實驗證明，改進的互信息和給合了boosting思想的樸素貝葉斯分類模型均產生良好的分類效果?分準率、分全率及f1值。 -
The following example uses the microsoft naive bayes algorithm to create a new mining model
以下示例使用microsoft naive bayes演算法創建新的挖掘模型。 -
The following example adds a naive bayes mining model to the new mailing mining structure
以下示例將naive bayes挖掘模型添加到new mailing挖掘結構中。 -
Because one of the main purposes of a naive bayes model is to provide a fast way to explore the data in a dataset, the microsoft naive bayes viewer provides several methods for displaying the interaction between predictable attributes and input attributes for a case table
選項卡上。由於naive bayes模型的主要用途之一是提供一種快速瀏覽數據集中數據的方法，因此microsoft naive bayes查看器提供了多種方法來顯示可預測屬性與事例表的輸入屬性之間的交互。
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