Create an Algorithm with ZOMA!

What do people generally call it?

Algorithm name:

Does it perform just regressions or can it also do classification? Is probabilistic (include randomness)?

Algorithm Type:

Is it stand-alone (a primitive), or made up of other algorithms (an ensemble)?

Composition:

Does it need training data (Supervised), or does it learn without being given such data (Unsupervised)?

Supervised/Unsupervised:

How is it trained? Does it require a training set, or does it learn when it encounters a mistake?

Training Method:

How would a mathematics professor write it on a blackboard?

Equation:

Usually wikipedia, but for more esoteric algorithms, the original publication is more appropriate; where can someone go to learn more about it?

Reference URL:

Testing and Training have runtime complexity, which is the "worst-case" number of steps it takes for the algorithm to give a result on the basis of its input size. As some algorithms take days to compute, and others are needed for near-realtime applications (computer vision, self-navigating robots) this is incredibly important.

Train Runtime Complexity:

Sometimes the runtime complexity for training and testing are not the same.

Test Runtime Complexity:

This work is licensed under a Creative Commons Attribution 4.0 International License.