Classification of data using Bayes and JDMP
Source code name: "jdmp_iris.py"
Programming language: Python
Topic: Data mining/Classification
DMelt Version 1.8. Last modified: 06/26/1971. License: Pro
https://datamelt.org/code/cache/jdmp_iris_5299.py
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from org.jdmp.core.dataset import DataSet
from org.jdmp.core.algorithm.classification.bayes import NaiveBayesClassifier

# load example data set
dataSet = DataSet.Factory.IRIS()
dataSet.showGUI()

# create a classifier
classifier = NaiveBayesClassifier()

# train the classifier using all data
classifier.trainAll(dataSet)

# use the classifier to make predictions
classifier.predictAll(dataSet)

# get the results
accuracy = dataSet.getAccuracy()

print "accuracy: ", accuracy
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