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Testing or evaluating a predictive model involves using the model to generate predictions for a test set and then computing a
Machine Learning Made Simple
Testing or evaluating a predictive model involves using the model to generate predictions for a test set and then computing a
This is a guest post by David Gerster (@gerster), a data scientist and investor in BigML. I work at a consumer
Accessing BigML via our REST API is easy, requiring only a username and an API Key. Every account registered with
One of the pitfalls of machine learning is that creating a single predictive model has the potential to overfit your data.
If you’ve built decision trees with BigML or explored our gallery, then you should be familiar with our tree visualizations.
Ensemble algorithms. Why do they work? It seems like kind of a crazy idea: Let’s take our original learning problem,
In the video below we profile Tex Hardcattle and Brand McRopinride, a pair of BigML users with a really interesting
We’re going to take a momentary departure from our typical blog and reflect on some progress that we’ve made to
As a novice in this machine learning field, I managed to make a lot of mistakes. But I was fortunate
We here at BigML are big fans of ensemble algorithms (and Ronald Reagan movies). Using them, a simple model like