Model-based molecular phylogenetics plays an important role in comparisons of genomic data, and model selection is a key step in all such analyses. We present ModelFinder, a fast model-selection ...
Decision trees are useful for relatively small datasets that have a relatively simple underlying structure, and when the trained model must be easily interpretable, explains Dr. James McCaffrey of ...
The demo program loads a 200-item set training data and a 40-item set of test data into memory. Next, the demo creates and trains a decision tree model using the DecisionTreeClassifier class from the ...
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