針對領域問題的資料特性對簡易貝氏分類器執行績效的影響，本研究將藉由分析不同資料特性的領域問題，瞭解資料特性對簡易貝氏分類器執行績效的影響程度，讓使用者在面臨領域問題時，可以藉由本研究所提供的簡易貝氏分類器的運作特性，以更明確、便利的方式評估其領域問題在簡易貝氏分類器的執行績效，進而有效的評估簡易貝氏分類器的適用性。本研究將假設「期望正確率」、「屬性間相依程度」、「屬性個數」、「屬性可能值個數」四個因子為影響簡易貝氏分類器執行績效的因素。期望正確率方面，本研究將利用控制各個屬性的條件機率值，模擬出具有不同分類正確率的資料檔進行分析;實證研究中，則將選擇具有最大的單一屬性簡易貝氏分類器分類正確率為期望正確率。此外，任意成對屬性的關係均為一個函數的關係，而成對屬性間的相依程度則代表某一屬性可以透過此函數經由另一個屬性來獲得的機率值。
　　本研究發現，當期望正確率愈小的時候，簡易貝氏分類器執行績效受到其它三個資料特性因素影響的變化程度愈明顯；反之，當期望正確率愈大時，簡易貝氏分類器執行績效則不易受到其它三個資料特性因素的影響。在實證研究中我們也發現，當期望正確率愈低的時候，資料檔內所有的屬性共同參與分類學習的效果會比單一屬性的學習效果更好；反之，當期望正確率很高時，簡易貝氏分類器實際的學習效果大致可以經由單一屬性來決定，通常即為具有最大的屬性正確率的屬性。屬性間相依程度方面，整體而言，當屬性間相依程度愈大時，簡易貝氏分類器的分類正確率會逐漸趨向期望的正確率，然而，大多數的實務資料屬性間的相依程度均是偏向中等程度的相依關係，即屬性間相依程度為界於0.5~0.8之間，偏向完全獨立或完全相依的狀況相當罕見，因此與簡易貝氏分類器執行績效變化的關係較不明顯。

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