In this project, the abalone dataset, that was collected from UC Irvine Machine Learning Repository. A regression and classification problem have been solved with great success.
A two layer cross validated regularized linear regression and ANN regression were done, where an R^2 score of 0.95 was achieved. With this the viscera weight could be estimated, which is normally a very tedious proces to estimate by conventional means.
Various different ML-models were constructed to determine the gender of our abalone data based on the features. The accuracy for the models were between 79% and 84%.