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nbro
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Why would LDA performshave performed much better than other methodsSVM and Naive Bayes in diagnosing ADHD?

In a final project in diagnosing ADHDAttention deficit hyperactivity disorder (ADHD) using Machine Learning, we obtained parameters from real patients. We used this data and got much higher success rates inwith LDA than inwith SVM and Naive Base, weBayes. We had only 100 examples in our training set. We are wondering why LDA specifically succeeded much more than the others?

LDA performs much better than other methods

In a final project in diagnosing ADHD using Machine Learning we obtained parameters from real patients. We used this data and got much higher success rates in LDA than in SVM and Naive Base, we had only 100 examples in our training set. We are wondering why LDA specifically succeeded much more than the others?

Why would LDA have performed much better than SVM and Naive Bayes in diagnosing ADHD?

In a final project in diagnosing Attention deficit hyperactivity disorder (ADHD) using Machine Learning, we obtained parameters from real patients. We used this data and got much higher success rates with LDA than with SVM and Naive Bayes. We had only 100 examples in our training set. We are wondering why LDA specifically succeeded much more than the others?

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lda LDA performs much better then others why?than other methods

In a final project in diagnosting adhddiagnosing ADHD using AI withMachine Learning we obtained parameters from real patients parameters. weWe used this data and got much higher sucssessuccess rates in LDA than in SVM and Naive Base, we had only 100 examples in our training set.we We are woundeingwondering why ldaLDA specifically sucssedsucceeded much more than the others?

lda performs much better then others why?

In a final project in diagnosting adhd using AI with real patients parameters. we got much higher sucsses rates in LDA than in SVM and Naive Base, we had only 100 examples in our training set.we are woundeing why lda specifically sucssed much more than the others?

LDA performs much better than other methods

In a final project in diagnosing ADHD using Machine Learning we obtained parameters from real patients. We used this data and got much higher success rates in LDA than in SVM and Naive Base, we had only 100 examples in our training set. We are wondering why LDA specifically succeeded much more than the others?

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