Cross-validation Archives - Sinfa Consulting: Data Science & AI Consulting

Understanding Multivariate Probabilistic Time Series Forecasting with Informer

Time series forecasting has long been regarded as a critical component in myriad fields, ranging from finance and economics to environmental science and engineering. Accurate predictions of future observations enable businesses, researchers, and policymakers to make informed decisions, optimize resource allocation, and mitigate potential risks. However, real-world time series data often exhibit complex patterns and …

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Improving Sequential Recommender Systems with AutoMLP: A Solution to Long/Short-Term Interest Identification

In recent years, sequential recommender systems have emerged as a popular approach for providing personalized recommendations to users. These systems take into account the order in which items are consumed by users, enabling them to identify long-term and short-term interests of users and predict their future preferences accurately. However, while sequential recommender systems have proven …

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Using Optimal Subsampling and Bootstrap in Machine Learning: Improving Model Accuracy

Introduction Machine learning algorithms have become increasingly popular in recent years as businesses and organizations look for ways to extract value from their data. However, getting accurate predictions from machine learning models is not always easy. One of the biggest challenges is reducing overfitting and bias in the models, which can lead to inaccurate predictions. …

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The Ultimate Solution to Feature Overload: Model-Free Feature Selection for Mass Features

Introduction In today’s digital age, data is everywhere, and with the rise of big data and machine learning, the number of features that can be collected is increasing rapidly. However, while having more data may seem like an advantage, it can often lead to feature overload, which can negatively impact the performance of models. Feature …

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