Archives for evaluation metrics

07 Mar

Python Code for Evaluation Metrics in ML/AI for Classification Problems

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image-20663

Evaluation of a machine learning model is crucial to measure its performance. Numerous metrics are used in the evaluation of a machine learning model. Selection of the most suitable metrics is important to fine-tune a model based on its performance. In this article, we discuss the mathematical background and application of evaluation metrics in classification…

The post Python Code for Evaluation Metrics in ML/AI for Classification Problems appeared first on Analytics India Magazine.

18 Oct

Generating Suitable ML Models Using LazyPredict Python Tool

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image-16792

While building machine learning models we are not sure which algorithm should work well with the given dataset, hence we end up trying many models and keep iterating until we get proper accuracy. Have you ever thought about getting all the basic algorithms at once to predict for model performance?  LazyPredict is a module helpful…

The post Generating Suitable ML Models Using LazyPredict Python Tool appeared first on Analytics India Magazine.

14 Aug

5 Object Detection Evaluation Metrics That Data Scientists Should Know

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image-14812

In computer vision, object detection is one of the powerful algorithms, which helps in the classification and localization of the object. Object detection is more challenging because it needs to draw a bounding box around each object in the image. While going through research papers you may find these terms AP, IOU, mAP, these are…

The post 5 Object Detection Evaluation Metrics That Data Scientists Should Know appeared first on Analytics India Magazine.

01 Aug

Hands-On Guide To Loss Functions Used To Evaluate A ML Algorithm

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image-14463

The loss function is a method of evaluating how well the algorithm performs on your dataset, most of the people are confused about the difference between loss function and the cost function. We will use the term cost function for a single training example and loss function for the entire training dataset. We always try…

The post Hands-On Guide To Loss Functions Used To Evaluate A ML Algorithm appeared first on Analytics India Magazine.

01 Aug

Hands-On Guide To Loss Functions Used To Evaluate A ML Algorithm

image-14464
image-14464

The loss function is a method of evaluating how well the algorithm performs on your dataset, most of the people are confused about the difference between loss function and the cost function. We will use the term cost function for a single training example and loss function for the entire training dataset. We always try…

The post Hands-On Guide To Loss Functions Used To Evaluate A ML Algorithm appeared first on Analytics India Magazine.

13 May

Reality Of Metrics: Is Machine Learning Success Overhyped?

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image-12739

In one of the most revealing research papers written recent times, the researchers from Cornell Tech and Facebook AI quash the hype around the success of machine learning. They opine and even demonstrate that the trend appears to be overstated. In other words, the so-called cutting edge research or benchmark work perform similarly to one…

The post Reality Of Metrics: Is Machine Learning Success Overhyped? appeared first on Analytics India Magazine.

21 Apr

Cumulative Accuracy Profile (CAP) Curve Analysis to Evaluate Classification Models in Social Network Ads Prediction

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image-12105

In this article, the CAP curve analysis method has been discussed where it is used to evaluate and compare the performances of four different classifiers in their classification task.

The post Cumulative Accuracy Profile (CAP) Curve Analysis to Evaluate Classification Models in Social Network Ads Prediction appeared first on Analytics India Magazine.

25 Jun

Top 6 Metrics To Monitor The Performance Of GANs

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image-5324

Generative Adversarial Networks (GANs) have found prominence over the last few years. From deep fakes to generating faces of people that don’t exist, GANs have been deployed for quite unpopular yet alarming applications. The fundamental nature of these dual networks is to outplay each other. One generates images to fool the other while the other…

The post Top 6 Metrics To Monitor The Performance Of GANs appeared first on Analytics India Magazine.