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Evaluating Performance of Models

Towards Data Science

After completing some data science projects in logistic regression and binary classification I have decided to write more about the evaluation of our models and steps to take to make sure they are…

Different Model Evaluation methodologies — Part 2

Analytics Vidhya

Resubstitution method, also known as Residual method, is the most basic method and not recommended for model evaluation, due to its overfitting issue. The holdout evaluation method takes into account…...

Evaluate your model properly

Towards Data Science

The progress we are seeing in machine learning is undeniable, in any given week, we see new algorithms being researched and theorised, new libraries being released to the open-source community and…

Model Selection and Evaluation

Towards Data Science

This article is a continuation of a series I am writing on key theoretical concepts to Machine Learning. The other articles in this series are available on my page. Model Selection and Evaluation is…

Model Selection & Assessment

Towards Data Science

A standard modeling workflow would see you partitioning your data into the training, validation, and testing sets. You would then fit your models to the training data, then use the validation set to…

How to Evaluate your Machine Learning Model.

Analytics Vidhya

Evaluation metrics explain the performance of a model. An important aspect of evaluation metrics is their capability to discriminate among model results.

Classification Model Evaluation

Analytics Vidhya

For classification problems, the first thing we need to know is the confusion matrix. From this matrix, we can acquire some useful information, including accuracy, precision, recall, and f1 score…

Introduction to Machine Learning Model Evaluation

Becoming Human: Artificial Intelligence Magazine

ML models have a significant impact on our lives, they are involved in sensitive issues such fraud detection, autonomous driving and deciding which content will be displayed to millions of users 24…

Classification Model Assessment

Analytics Vidhya

The human brain is a complex organ and is capable of recognizing patterns, regularities and irregularities through many experiences over a lifetime. We remain calm and assured when we know that an…

Performance measures of models

Towards Data Science

Schools and colleges regularly conduct tests. The basic idea behind this is to measure the performance of the students. To understand which is their strong subject and where they need to work harder…

Model Evaluation I: Precision And Recall

Towards Data Science

To test the quality of any classification system like Support Vector Machines, there’s need to perform some evaluation metrics. Support Vector Machines are classification algorithm which I explained…

Measuring Model Goodness — Part 1

Towards Data Science

Data and AI are transforming businesses worldwide from finance, manufacturing and retail to healthcare, telecommunications and education. At the core of this transformation is the ability to convert…