Tag: Classification Algorithms
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How to Evaluate Your Classification Algorithm in Python
In the previous episode, we went over the different methods you can evaluate your classification algorithm. In this episode, we focus on applying these methods in Python. You can view and use the code and data used in this episode here: Link 1. Building the Classification Algorithm First we need to build a classification algorithm…
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Evaluation of Classification Algorithms
There are various classification algorithms such as: Support Vector Machines (Episode 9.1) Logistic Regression (Episode 7.1) Decision Trees (Soon to come) But how do we evaluate these algorithms’ performance? In this episode we look at the following evaluation metrics: Accuracy, Precision, Recall (True Positive Rate), False Positive Rate, Specificity, Sensitivity, F1 score. AUROC Score (Area…
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Logistic Regression Explained
Logistic Regression can be thought of as an extension of Linear Regression. With Linear Regression our final output for our model took a single value, however, with logistic regression, we apply an extra function to Linear Regression that puts our final value output into a group i.e. 1 or 0. What is Logistic Regression? Logistic…
The Data Series 