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Recent questions tagged svm


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Do you think she is making a wise investment; what are the pros and cons?
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Do you think she is making a wise investment; what are the pros and cons?Johanna is considering investing some of her savings in art. She estimates that the value of a painting she wants to buy will increase at 6,5% compoun ...
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asked in Mathematics Jan 3, 2021
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What do machine learning people mean by the term, "curse of dimensionality"?
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What is the difference between the linear models LinearSVC() and SVC(kernel='linear') ?
0 answers 300 views
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What factors influence the value of the Cost Parameter in SVM?
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What factors influence the value of the Cost Parameter in SVM?What factors influence the value of the Cost Parameter in SVM? ...
by MathsGee Platinum
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asked in Data Science & Statistics Oct 16, 2020
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If you are using RBF kernel in SVM what is the significance of the Gamma value?
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If you are using RBF kernel in SVM what is the significance of the Gamma value?If you are using RBF kernel in SVM what is the significance of the  Gamma value? ...
by MathsGee Platinum
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asked in Data Science & Statistics Oct 16, 2020
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What factors determine the effectiveness of the SVM algorithm?
0 answers 249 views
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Is SVM suitable for small or large data sets?
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Is SVM suitable for small or large data sets?Is SVM suitable for small or large data sets? ...
by MathsGee Platinum
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asked in Data Science & Statistics Oct 16, 2020
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What is the difference between hard and soft margins with respect to SVM?
0 answers 130 views
What is the difference between hard and soft margins with respect to SVM?What is the difference between hard and soft margins with respect to SVM? ...
by MathsGee Platinum
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asked in Data Science & Statistics Oct 16, 2020
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What is a generalization error in terms of the SVM?
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What is a generalization error in terms of the SVM?What is a  generalization error in terms of the SVM? ...
by MathsGee Platinum
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asked in Data Science & Statistics Oct 16, 2020
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How does SVM deal with outliers?
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How does SVM deal with outliers?How does SVM deal with outliers? ...
by MathsGee Platinum
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asked in Data Science & Statistics Oct 16, 2020
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What are some of the popular real-world application of SVM?
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What are some of the popular real-world application of SVM?What are some of the popular real-world application of SVM? ...
by MathsGee Platinum
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asked in Data Science & Statistics Oct 16, 2020
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What are the pros and cons of the SVM algorithm?
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What are the pros and cons of the SVM algorithm?What are the pros and cons of the SVM algorithm? ...
by MathsGee Platinum
(119,140 points)
asked in Data Science & Statistics Oct 16, 2020
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Is SVM a regression or classification algorithm?
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Is SVM a regression or classification algorithm?Is SVM a regression or classification algorithm? ...
by MathsGee Platinum
(119,140 points)
asked in Data Science & Statistics Oct 16, 2020
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What are 3 ways of reducing dimensionality?
0 answers 104 views
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What is the "Curse of Dimensionality?"
0 answers 87 views
What is the "Curse of Dimensionality?"What is the "Curse of Dimensionality?" ...
by MathsGee Platinum
(119,140 points)
asked in Data Science & Statistics Jul 28, 2020
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What does it mean to say, "A Support Vector Machine (SVM) is a discriminative classifier"?
0 answers 134 views
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It is possible to construct a 2-NN classifier by using the 1-NN classifier?
0 answers 328 views
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What is the concept of a maximal marginal classifier when dealing with SVM?
0 answers 125 views
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What is the advantage of performing dimensionality reduction before fitting an SVM?
1 answer 187 views
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Give some situations where you will use an SVM over a RandomForest Machine Learning algorithm and vice-versa.
1 answer 734 views
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