Data Science

Types of machine learning

There are 4 main types of machine learning algorithms: In a supervised machine learning algorithm, the model is trained based on both the labels, and the features. During the training phase the algorithm is given the labeled data and must find the function F(x) that will allow it to determine the label based on the […]

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How to read and use a Confusion Matrix?

Data Science / DataDrivenCargo Founder

Read a Confusion Matrix and calculate the accuracy score Reading a Confusion Matrix Reading a confusion matrix properly and interpreting it is an essential step in order to evaluate the quality and performance of a predictive model (Mainly classification algorithms). This example is about a predictive algorithm that predicts whether or not a bank

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