New answers tagged machine-learning
0
votes
Use of ports on basic machine learning regression
This is an answer to my question:
data = Flatten@
Table[x -> {x, x^2 + RandomReal[{-0.9, 0.9}]}, {x, -5., 5., 0.5}];
net = NetChain[{20, Tanh, 2}];
dataset = <|"Input" -> #[[All, 1]]...
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0
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Strange result for decision-tree-classifier. Why?
The construction of the space of possible values for each attribute must not include the attribute labels (feature names or variable names).
To do this, the variable you have named allAttributes is ...
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