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Machine learning algorithms build a model of the training data. The term "machine learning" is vaguely defined; it includes what is also called statistical learning, reinforcement learning, unsupervised learning, etc. ALWAYS ADD A MORE SPECIFIC TAG.
2
votes
Biased Data in Machine Learning
Your rules may give you a way to perform data augmentation. Copy a positive sample, change the age to 17, and then mark it as a negative sample.
This procedure won't necessarily be trivial or useful …
1
vote
Doing cross-validation when diagnosing a classifier through learning curves
As implemented, the learning curve generation code is trying to jointly optimize your parameters and hyperparameters for each size. In that sense, the learning curve is meant to show the "best" it ca …