WebOct 9, 2024 · Theme. Copy. container = cell (10, 20); container {1, 5} %returns the content of cell (1,5) You can ask for the content of several cells at once with {} and matlab returns a comma-separated list of the contents (see Cedric's Link), so if you do. Theme. Copy. matches {:} you get a c-s-l of all the string arrays. WebApr 7, 2015 · For example, weka's "diabetes.arff" sample-dataset (n = 768), which has a similar structure as your dataset (all attribs numeric, but the class attribute has only two distinct categorical outcomes), I can set the minNumObj parameter to, say, 200. This means: create a tree with minimum 200 instances in each leaf.
Cannot handle multi-valued nominal class - Stack Overflow
Web1. A better way to approach this problem might be multiple imputation of the missing data, if your data meet the requirements for imputation. The rms package in R provides useful tools for imputation and model validation. You might also want to look at the mice package for the imputation part of the problem; rms can handle objects produced by mice. WebDec 1, 2016 · You should set class index of for your dataset before passing it into classifier. Your classifier must know which is your outcome variable. After these lines... loader.setQuery ("select * from data_training"); Instances data = loader.getDataSet (); Add the following: data.setClassIndex (data.numAttributes () - 1); solace boston
Weka numeric class multilayer perceptron - Stack Overflow
WebDec 31, 2024 · The Weka Apriori node can handle only non-numeric columns. In seems that your trying to input integer values. Within the dialog the node should complain about "incompatible column types". The solution is pretty easy, you can use the Number To String node and convert all integer columns into strings before you apply the Weka Apriori node. WebJul 1, 2024 · 1 Answer Sorted by: 1 In Weka there are both String and nominal types of data. The String data type is a textual type with unspecified number of values (e.g. tracking Id: R99432239US) while the Nominal type correspond to values from a closed set (e.g. state {walking, running, sitting}). WebMar 21, 2024 · The error weka.core.UnsupportedAttributeTypeException: weka.classifiers.trees.J48: Cannot handle numeric class! states that J48 algorithm cannot be used on numeric classes. Here class means the output that you want to learn, not an attribute used when learning. J48 can use numeric attributes but cannot predict … solace boroughs