- Course overview
- Search within this course
- What is machine learning?
- ML in drug discovery: why now?
- ML in the drug discovery pipeline
- Hands-on with WEKA
- Identifying targets for cancer using gene expression profiles
- Other tools utilising ML or NLP for drug discovery
- Summary
- Your feedback
- Learn more
- References
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Experimenter
The Experimenter application (Figure 5) is for designing controlled experiments. It is useful for comparing the performance of several machine learning models using various datasets. Unlike the Explorer Window in which you can load only one dataset at a time, using the WEKA Experimenter, you can load several datasets at the same time, and train and test several machine learning models at the same time. However, the Experimenter application offers fewer capabilities for data preprocessing or visualisation.
