URGENT!! Need help with some work.

[mlauber71]

@Amy_Read1 for this dataset I have set up some examples about how to do machine learning here. Maybe you can check this out.

Heart Disease - Machine Learning Case - Comparing Algorithms – mlauber71

For Algorithms that need normalization and just numeric data you might also take a look at the data preparation in the Metanode “BINARY_RPROP_MLP”. This will involve converting the string columns to numeric ones (you could also employ vtreat for that), to normalize the data and while doing that preserve the option to re-do this for new data. It does look a little bit complicated first but you can just use the example for other data, provided your target variable is named “Target”.

SVM with Parameter optimization:

SVM Exercise with Parameter Optimization – knime

You might want to discuss again what you would do with kNN. Is this to cluster the data. You can try and find an optimal number of clusters:

iteration over k values using variables in the K Nearest Neighbor node

Maybe like this. I have not checked if the results from the Iris sample data would be of any practical use in this scenario. [image] kn_example_loop_over_nearest_neighbor.knwf (68.9 KB)