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What is the Naive Bayes Algorithm?
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<!--StartFragment--><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin-right: 0px; margin-bottom: 16px; margin-left: 0px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; margin-top: 0px !important;">Let's look at the components and steps to understand Naive Bayes.</p><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin: 0px 0px 16px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">Bayes Theorem The Bayes Theorem is used to calculate conditional probability. The formula below can be used to determine the likelihood of an event occurring if event B has already occurred.<span>&nbsp;</span><a href="https://www.sevenmentor.com/data-science-course-in-pune.php" rel="nofollow" style="box-sizing: border-box; caret-color: var(--color-caret); color: var(--color-primary); text-decoration: none; cursor: pointer; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji);">Data Science Course in Pune</a></p><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin: 0px 0px 16px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">P(A|B) = (P(B|A) * P(A)) / P(B)</p><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin: 0px 0px 16px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">During the initial training phase, an algorithm is created using the labeled data. Assume we have a dataset that has N instances and M attributes. The class label represents a target variable.</p><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin: 0px 0px 16px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">Prior probabilities (P©,), The algorithm calculates P©, which is the prior probability of a random instance that belongs to a specific class.</p><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin: 0px 0px 16px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">© each feature Fi with a class label. This is the probability of a particular feature being present if an instance belongs to a specific class.</p><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin: 0px 0px 16px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">Data Science Courses in Pune</p><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin: 0px 0px 16px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">Bayes' theorem is used to determine class of unknown instances.</p><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin: 0px 0px 16px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">P(C|X) = (P(X|C) * P©) / P(X)</p><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin: 0px 0px 16px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">Multiplication of the probability (P(xi), by the prior probability (P©).</p><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin: 0px 0px 16px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">Predicting Class: The algorithm chooses the class label that has the highest posterior probabilities based on a given example.</p><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin: 0px 0px 16px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">Data Science Training in Pune- Laplace smoothing is used when there are no feature values in the class training values. Data Science Training in Pune - This is achieved by adding a small variable.</p><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin: 0px 0px 16px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial;">Naive Bayes is suitable for binary and multiclass classification problems. It is especially well-suited to text classification tasks such as spam detection or emotion analysis where independence assumptions are reasonable.</p><p dir="auto" style="box-sizing: border-box; caret-color: rgb(8, 8, 8); margin-top: 0px; margin-right: 0px; margin-left: 0px; line-height: 1.4285em; --fonts-regular: var(--fonts-override,var(--fonts-proportional)),&quot;Noto Sans&quot;,&quot;Liberation Sans&quot;,sans-serif,var(--fonts-emoji); color: rgb(33, 33, 33); font-family: -apple-system, &quot;Segoe UI&quot;, system-ui, Roboto, &quot;Helvetica Neue&quot;, Arial, &quot;Noto Sans&quot;, &quot;Liberation Sans&quot;, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;, &quot;Noto Color Emoji&quot;, &quot;Twemoji Mozilla&quot;; font-style: normal; font-variant-ligatures: normal; font-variant-caps: normal; font-weight: 400; letter-spacing: normal; orphans: 2; text-align: start; text-indent: 0px; text-transform: none; widows: 2; word-spacing: 0px; -webkit-text-stroke-width: 0px; white-space: normal; background-color: rgb(255, 255, 255); text-decoration-thickness: initial; text-decoration-style: initial; text-decoration-color: initial; margin-bottom: 0px !important;">Naive Bayes, in conclusion, is a probabilistic classification algorithm that relies on Bayes's theorem as well as an assumption of feature-independence. It has been widely used despite its simplicity because of its effectiveness and efficiency in real-world applications.</p><!--EndFragment-->

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Naive Bayes uses a similar approach to predict the probability of different classes based on different attributes. This algorithm is mostly used in text classification and multi class problems.

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