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ROC curve with Matlab using svmtrain
The error says that 1 is not found in t2. Note that your |groups| variable is logical, and so are |t1| and |t2|, but 1 is double...

9年以上前 | 1

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Vecorize NORMRND for a family of distributions
Replace temp = zeros(length(mu),1); for i = 1:length(mu) temp(i) = normrnd(mu(i),sigma(i)); end with ...

9年以上前 | 2

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Which algorithm for decision tree pruning is used by Matlab 2013
ClassificationTree is based on Breiman, L., J. Friedman, R. Olshen, and C. Stone, Classification and Regression Trees, and uses ...

9年以上前 | 0

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Getting error after compile classifiers using decision tree and treeBagger to Java
classregtreeEval is a mex function. I don't know what you need to do to use it in your jar library. But you can find a compiled ...

9年以上前 | 0

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TreeBagger: How do I view entire tree or the list of logical steps? (Not same as with fitctree)
Use a loop: for n=1:30 view(t.Trees{n}); end

9年以上前 | 0

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Decision Tree Classification with 0 on BOTH terminal nodes of branches?
Nothing wrong with that. A classification tree optimizes the Gini index and can split a parent node in two child nodes dominated...

9年以上前 | 0

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Significance test of ROC value with Perfcurve (obtaining the p value)
I can't explain in detail how the routine should be written because I don't understand how you are comparing the two populations...

9年以上前 | 1

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Rsquare for regresstion tree
R-square is the square of the Pearson correlation between predicted and observed response. R2 = corr(yobs,yhat)^2 for c...

10年弱前 | 0

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In a multiclass classification problem using Random Forest/Tree Bagger. How would I determine the most important features for each particular class?
You would need to specify more precisely what you mean by "features important for each class". Features are important (or not) f...

10年弱前 | 0

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Decision tree non-numerical data statistics toolbox
The type of tree you need is defined by the type of output. If your output is numeric ("numeric" here means that you can do grea...

10年弱前 | 0

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What does logp output in classify exactly mean?
Quoting from the doc for |classify|: [class,err,POSTERIOR,logp] = classify(...) also returns a vector logp containing estimat...

10年弱前 | 0

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Finding best parameters of SVM
Plot the classification error (or whatever it is you are optimizing) against the two optimized parameters. Is the minimum well i...

約10年前 | 1

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Leave-one-out with ClassificationDiscriminant
You could start by looking at the <http://www.mathworks.com/help/stats/classificationdiscriminant.fit.html doc> for |Classificat...

約10年前 | 0

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Assign to a 'protected' property of TreeBagger object
I suggest that you leave ClassProb alone. If you need a different method for prediction, loop through the trees. The likelihood ...

約10年前 | 0

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I want to develop an Learn++ Algorithm same as Adaboost but small variation..I tried to modify the code of example.m but it was not possible.
I don't know what |example.m| is to which you are referring. Sounds like you need the AdaBoost algorithm. Step 2 makes me th...

約10年前 | 0

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Why pca doesn't work on matlabR2013b?
I suggest that you get in touch with the tech support. (You can find their phone number and email at mathworks.com.) There may b...

約10年前 | 0

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Ideas for a classification/regression problem.
You could start with linear regression. If you have the Statistics Toolbox, take a look at |LinearModel|. Or, if you have an old...

約10年前 | 0

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how can we know the most imortant predictor in Discriminant analysis
After the training data are standardized to zero mean and unit variance, you can use the coefficient magnitude as a measure of t...

約10年前 | 1

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translating a support vector machine structure into explicit form
See <http://www.mathworks.com/matlabcentral/answers/68138-how-to-do-a-roc-analysis-using-matlab-build-in-svm-not-libsvm this thr...

約10年前 | 0

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Should the kth nearest neighbour loss decrease as k increases?
Yes, you should be looking at the cross-validated loss.

約10年前 | 0

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10年以上前 | 0

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Help on using perfcurve
Use the |cluster| method of the |gmdistribution| object to obtain cluster assignments and their posterior probabilities. Then pa...

10年以上前 | 0

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Proper use of ClassificationTree.fit for categorical variables?
Yes, this would be one way to accomplish this. You'd have to be careful when you convert new data to numeric for prediction. If ...

10年以上前 | 0

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What predictor variables are used for a given pruning level in a classregtree?
Prune the tree to the desired level using the |prune| method. Then use the |cutvar| method to see what variables are used for sp...

10年以上前 | 0

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How to count up an error in svm
Classification error by definition is the fraction of misclassified observations. So if you have one misclassified point, divide...

10年以上前 | 0

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How to plot ROC curve for SVM classifier results?
See <http://www.mathworks.com/matlabcentral/answers/68138-how-to-do-a-roc-analysis-using-matlab-build-in-svm-not-libsvm this thr...

10年以上前 | 0

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Cross Validated Classification Tree Contingency Table
It is not possible to access this data. However, coding is not hard. I presume you want to prune every tree to |bestlevel| retur...

10年以上前 | 0

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visualize a tree and splitting point in TreeBagger
<http://www.mathworks.com/help/stats/treebaggerclass.html doc TreeBagger> and take a look at the |Trees| property. For example, ...

10年以上前 | 0

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automatic Hierarchical Clustering : choosing the number of clusters automatically?
If you have R2013b, take a look at the |evalclusters| function in the Statistics Toolbox.

10年以上前 | 0

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Help in using svmclassify
See <http://www.mathworks.com/matlabcentral/answers/68138-how-to-do-a-roc-analysis-using-matlab-build-in-svm-not-libsvm this thr...

10年以上前 | 0

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