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Confusion Matrix Explained

The confusion matrix is a table that helps to visualize and understand the performance of an algorithm. In our case is the decision tree. It shows how effective the predictive algorithm is and how many times it hits the correct or wrong outcome. The…

Author of Confusion Matrix Explained
AnswerMiner
September 15, 20204 min read

Mean vs. Median

The term “average” can often mislead us and hide valuable and reliable information from our data. It is hard to decide which number we need to use. In everyday statistics and news or even in scientific research, the result is often presented as the…

Author of Mean vs. Median
AnswerMiner
August 30, 20203 min read

Which Measurement Scale Should We Use?

During statistical observations, we get results we have to present decently. The method of the presentation depends on various factors such as the type of the observed data: discrete or continuous random variables.The level of measurement or scale of…

Author of Which Measurement Scale Should We Use?
AnswerMiner
July 25, 20204 min read

Data Science VS Statistics: What Are the Key Differences?

Ever since technology took a toll over all the major and minor spheres that constitute our personal and professional lives, data, and more precisely, big data has become the talk of the town. The most common perception of data that prevails in the…

Author of Data Science VS Statistics: What Are the Key Differences?
AnswerMiner
July 18, 20204 min read

Column Summary - Table of Statistical Information

The column summary or column metadata is a table that contains several statistical and non-statistical information about the variables of the dataset. This summary is about to give a wholesome picture of each column and helps to explore and…

Author of Column Summary - Table of Statistical Information
AnswerMiner
April 28, 20204 min read

The Correlation Coefficient Demystified

Correlation and the correlation coefficient seem to be difficult to understand. They sound like some weird mathematical, statistical thing. However, once you understand them, you will think in a totally new way about causality and how things are…

Author of The Correlation Coefficient Demystified
AnswerMiner
January 19, 20165 min read

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