Highest Rated Posts

varunm1

October 10

Re: Help with correct understanding results of classification

Hello @Serek91 There is a concept in machine learning known as the interaction effect. When you analyze your predictors/features, it is not just the independent features that have an impact on algorithm learning but also due to the interaction effect. For example, let's think there are two features A and B, Now if you run…

BalazsBarany

October 10

Re: Help with correct understanding results of classification

Hi! Some partial answers: k-NN might maily learn from a single or few attributes only if you don't normalize the data. (It's comparing values of different attributes directly, so an attribute with a high scale (like 1000) will dominate attributes on small scales (like nominal attributes encoded as 0 or 1).) If this…

kayman

October 8

Re: Concatenate first and second value of an attribute

Like this? It works for your super simple example, but it's a bit unclear how your actual data looks. <?xml version="1.0" encoding="UTF-8"?><process version="9.4.001">
 <context>
 <input/>
 <output/>
 <macros/>
 </context>
 <operator activated="true" class="process" compatibility="9.4.001"…

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