weka

I am trying to plot my svm model. library(foreign) library(e1071) x <- read.arff("contact-lenses.arff") #alt: x <- read.arff("http://storm.cis.fordham.edu/~gweiss/data-mining/weka-data/contact-lenses.arff") model <- svm(`contact-lenses` ~ . , data = x, type = "C-classification", kernel = "linear") The contact lens arff is the inbuilt data file in weka. However, now i run into an error trying to plot the model. plot(model, x) Error in plot.svm(model, x) : missing formula. The problem is that in in your model, you have multiple covariates. The plot() will only run automatically if your data=

I have created a classifier in WEKA, i saved it on my hard-disk, now I want to use that classifier in eclipse using weka api. How can i do this? please guide me to this... thank you Here is an example of loading a model to predict the value of instances. The example model is a J48 decision tree created and saved in the Weka Explorer. It was built from the nominal weather data provided with Weka. It is called "tree.model". //load model String rootPath="/some/where/"; Classifier cls = (Classifier) weka.core.SerializationHelper.read(rootPath+"tree.model"); //predict instance class values

I am trying to parse a CSV file, ideally using weka.core.converters.CSVLoader. However the file I have is not a valid UTF-8 file. It is mostly a UTF-8 file but some of the field values are in different encodings, so there is no encoding in which the whole file is valid, but I need to parse it anyway. Apart from using java libraries like Weka, I am mainly working in Scala. I am not even able to read the file usin scala.io.Source: For example Source. fromFile(filename)("UTF-8"). foreach(print); throws: java.nio.charset.MalformedInputException: Input length = 1 at java.nio.charset.CoderResult

I'm trying to create a new string Attribute using Weka's Java API... Reading through the API javadocs, it appears that the way to do so is to use this constructor: Attribute public Attribute(java.lang.String attributeName, FastVector attributeValues) Constructor for nominal attributes and string attributes. If a null vector of attribute values is passed to the method, the attribute is assumed to be a string. Parameters: attributeName - the name for the attribute attributeValues - a vector of strings denoting the attribute values. Null if the attribute is a string attribute. but I'm stuck as to

I am using Weka import weka.core.Instances; import weka.core.converters.ConverterUtils.DataSource; . . DataSource source; source = new DataSource("somecsvfile.csv"); I get following printed on console in red color in eclipse: ---Registering Weka Editors--- Trying to add database driver (JDBC): RmiJdbc.RJDriver - Error, not in CLASSPATH? Trying to add database driver (JDBC): jdbc.idbDriver - Error, not in CLASSPATH? Trying to add database driver (JDBC): org.gjt.mm.mysql.Driver - Error, not in CLASSPATH? Trying to add database driver (JDBC): com.mckoi.JDBCDriver - Error, not in CLASSPATH? Trying

For Weka Explorer (GUI), when we do a 10-fold CV for any given ARFF file, then what Weka Explorer provides (as far as I can see) is the average result for all the 10 folds. Q. Is there any way to get the results of each fold? For instance, I need the error rates (incorrectly identified instances) for each fold. Help appreciated. I think this is possible using Weka's GUI. You need to use the Experimenter though instead of the Explorer. Here are the steps: Open the Experimenter from the GUI Chooser Create a new experiment ( New button @ top-right) [optional] Enter a filename and location in the