Archives for evaluation metrics
LLM Leaderboard Gone Wrong?
LLaMa ranking below Falcon on the Open LLM Leaderboard was questionable for a lot of researchers.
The post LLM Leaderboard Gone Wrong? appeared first on Analytics India Magazine.
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.
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.
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.
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.
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.
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.
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.