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@@ -61,20 +61,6 @@ learned the underlying structure of the training data and hence can,
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given some assumptions, make predictions about the target feature value
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(class) of unseen query instances.
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!split
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===== A Sketch of a Tree, Regression problem =====
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"See handwritten notes November 3":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2022/NotesNov32022.pdf"
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#FIGURE: [DataFiles/Regsimpletree.png, width=600 frac=0.8]
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!split
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===== A Sketch of a Tree, Classification problem =====
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"See handwritten notes November 3":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2022/NotesNov32022.pdf"
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#FIGURE: [DataFiles/Classimpletree.png, width=600 frac=0.8]
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!split
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===== A typical Decision Tree with its pertinent Jargon, Classification Problem =====
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