model baselines - Learn Data Science with Travis

Baseline Models in Time Series

Towards Data Science

So you’ve collected your data. You’ve outlined the business case, decided on a candidate model (e.g. Random Forest), set up your development environment, and your hands are at the keyboard. You’re rea...

How to Build a Baseline Model

Towards Data Science

A pragmatic approach for building a baseline model to understand your data. Code and examples in Python.

What is a time series baseline model and how is it used?

Python in Plain English

A baseline prediction will give the data scientist an idea of how well other models are likely to perform on the time series problem. Continue reading on Python in Plain English

Build Baseline Models Effortlessly With Sklearn

Daily Dose of Data Science

Before developing a complex ML model, it is always sensible to create a baseline first. The baseline serves as a benchmark for the engineered model. Moreover, it ensures that the model is better than ...

What Are Baseline Models and Benchmarking For Machine Learning, Why We Need Them?

Towards AI

We can train a machine learning model with any prepared data but how can we be sure about the machine learning model learned from train data? The objective of this article is to explain baseline…

Beginners Baseline Model for Machine Learning Project

Towards Data Science

Learn to standardize your machine learning development Continue reading on Towards Data Science

Does your model beat the baseline?

Towards Data Science

Let’s compare our model with a trivial baseline Continue reading on Towards Data Science

Baselines in Reinforcement Learning Research

Towards Data Science

Baselines are toolsets that should be shared among practitioners in a field to establish a common ground to compare experiments. Scientific research papers should be judged on the quality of their…

Choosing a Baseline Accuracy For a Classification Model

Towards Data Science

Choose a baseline accuracy for your machine learning classification model. How to calculate your baseline accuracy and demonstrate that your model has skill on a problem.

Data Preprocessing & Baseline Model

Analytics Vidhya

we are going to preprocess our data to get inputs to a model, then use the ExtraTreesClassifier as a baseline model and get a baseline performance

Benchmarking Methods for Deep Learning-Based Time Series Forecast

Analytics Vidhya

For data scientists to keep their sanity when building models, they set a baseline — a score that the model must outperform. Normally, the state-of-the-art is used as the baseline but for problems…

Visualizing the Impact of Feature Attribution Baselines

Distill

Path attribution methods are a gradient-based way of explaining deep models. These methods require choosing a hyperparameter known as the baseline input . What does this hyperparameter mean, and how i...