If you have a fairly large data set then it is more than reasonable to increase the training percentage well above 66%. The following screenshots were generated using weka.classifiers.functions.LinearRegression with default parameters on the UCI dataset bolts, using a percentage split of 66% for the training set and the remainder for testing. Weka is an Open Source library for Machine-Learning. Weka So, here random numbers are being used to split the data. I am using weka tool to train and test a model that can perform classification. The percentage of votes received by a candidate, Gross Domestic Product per Capita, and the crime rate are all ratio variables. Weka Click the âExplorerâ button to launch the Explorer. My understanding is that when I use J48 decision tree, it will use 70 percent of my set to train the model and 30% to test it. Loading the data into WEKA. A very common dataset to test algorithms with is the Iris Dataset . What is meant by the probability distribution in weka? - Quora Also, this is a general concept and not just for weka. Evaluate the result on test dataset 2. Random forest in python iv. How can we train and test dataset in Weka? – Wazeesupperclub.com
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