Understanding confusion matrix using cyber crime classification according to kaspersky, cybercrime is the criminal activity that either targets or uses a computer, a computer network or a network. A confusion matrix is the comparison summary of the predicted results and the actual results in any classification problem use case. the comparison summary is extremely necessary to determine the….
A confusion matrix is an n x n matrix used for evaluating the performance of a classification model, where n is the number of target classes. the matrix compares the actual target values with those predicted by the machine learning model. this gives us a integrated view of how well our classification model is performing and what kinds of errors. 3 min read · jun 5, 2021 listen. 💻cyber crime with confusion matrix and types of errors… 🙋♀️😍hello learners, i am here with the new task that is cyber security and confusion matrix. 😊 😊let’s see…. Every column of the confusion matrix represents the instances of that predicted class. 💨cyber crime cases though the word crime carries its general meaning as “a legal wrong that can be followed by criminal proceedings which may result into punishment” whereas cyber crime may be “unlawful acts wherein the computer is either a tool or target or both”.
💻cyber crime with confusion matrix and types of errors… 🙋♀️😍hello learners, i am here with the new task that is cyber security and confusion matrix. 😊 😊let’s see…. Every column of the confusion matrix represents the instances of that predicted class. 💨cyber crime cases though the word crime carries its general meaning as “a legal wrong that can be followed by criminal proceedings which may result into punishment” whereas cyber crime may be “unlawful acts wherein the computer is either a tool or target or both”. Confusion matrix. a confusion matrix is a table that is often used to describe the performance of a classification model (or “classifier”) on a set of test data for which the true values are known. the confusion matrix itself is relatively simple to understand, but the related terminology can be confusing. the confusion matrix shows the. Confusion matrix is the one which clearly signifies these situations. this matrix works for the classification type of dataset, it has two rows and two columns as you can see. this matrix represents the occurrence of an event which will exist among these four conditions.
Confusion matrix. a confusion matrix is a table that is often used to describe the performance of a classification model (or “classifier”) on a set of test data for which the true values are known. the confusion matrix itself is relatively simple to understand, but the related terminology can be confusing. the confusion matrix shows the. Confusion matrix is the one which clearly signifies these situations. this matrix works for the classification type of dataset, it has two rows and two columns as you can see. this matrix represents the occurrence of an event which will exist among these four conditions.
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