A neural network with flexible parameters - number of layers, number of neurons, regularization lambda value etc.
Flexnet uses data from several sources to induce different models.
https://archive.ics.uci.edu/ml/datasets/Haberman%27s+Survival
https://archive.ics.uci.edu/ml/datasets/wine
https://archive.ics.uci.edu/ml/datasets/Contraceptive+Method+Choice
https://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+(Diagnostic)
Flexnet measures accuracy and other quality indicators with cross validation, selecting the best models among the a pool of differently parameterized networks.
This is a project for UFRGS's (Univerdade Federal do Rio Grande do Sul) subject Neural Networks and Fuzzy Systems, of the Computer Engineering degree.