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`@@ -305,6 +305,19 @@ In probability theory and statistics, kurtosis is a measure of the "tailedness"`
`305`	`305`	`#### What is Entropy?`
`306`	`306`	`In the most layman terms, Entropy is nothing but the measure of disorder or uncertainty (You can think of it as a measure of purity as well) the goal of machine learning models and Data Scientists in general is to reduce uncertainty.`
`307`	`307`
	`308`	`+##### Confusion Matrix:`
	`309`	`+A confusion matrix is a table that is often used to describe the performance of a classification model (or "classifier") on set of test data for which the true value are known:`
	`310`	`+* Confusion matrix represents a tabular presentation of Actual Vs Predict Value`
	`311`	`+* You can calculate the accuracy of your model with:`
	`312`	`+`
	`313`	`+ (True Positive + True Negative) / (True Positive + True Negative + False Positive + False Negative)`
	`314`	`+`
	`315`	`+#### Example:`
	`316`	`+* There are two possible predicted classes: "yes" and "no"`
	`317`	`+* The classifier made a total of 165 predictions`
	`318`	`+* Out of those 165 cases, the classifier predicted "yes" 110 times, and "no" 55 times`
	`319`	`+* In reality, 105 patients in the sample have the disease, and 60 patient do not`
	`320`	`+`
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`310`	`323`	`# 7. Probability and it's Uses`

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