Machine Learning Python to generate random datasets to test learners

Generate data that will work better for one learner than [url removed, login to view] two learners you should aim your datasets at are:

A decision tree learner with leaf_size = 1 (DTLearner).

The LinRegLearner

Data generation should use a random number generator as part of its data generation process. A random number seed will be passed to the generators. Whenever the seed is the same you should return exactly the same data set. Different seeds should result in different data sets.

Need the project by Friday.

Habilidades: Programação C, Linux, Aprendizado de Máquina , Python, Arquitetura de software

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( 1 comentário ) stamford, United States

ID do Projeto: #16292926

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