# imports
import weka.core.converters.ConverterUtils.DataSource as DS
import weka.filters.Filter as Filter
import weka.filters.unsupervised.attribute.Remove as Remove
import os
# load data
data = DS.read(os.environ.get("MOOC_DATA") + os.sep + "iris.arff")
# remove clas...
# imports
import weka.core.converters.ConverterUtils.DataSource as DS
import weka.classifiers.Evaluation as Evaluation
import weka.classifiers.trees.J48 as J48
import java.util.Random as Random
import os
# load data
data = DS.read(os.environ.get("MOOC_DATA") + os.sep + "annea...
# imports
import weka.classifiers.trees.J48 as J48
import weka.core.converters.ConverterUtils.DataSource as DS
import os
# load training data
data = DS.read(os.environ.get("MOOC_DATA") + os.sep + "anneal_train.arff")
data.setClassIndex(data.numAttributes() - 1)
# confi...
# Note: install jfreechartOffscreenRenderer package as well for JFreeChart library
# imports
import weka.classifiers.Evaluation as Evaluation
import weka.classifiers.functions.LinearRegression as LinearRegression
import weka.core.converters.ConverterUtils.DataSource as DS
import java.util.Ran...
# imports
import weka.classifiers.bayes.BayesNet as BayesNet
import weka.core.converters.ConverterUtils.DataSource as DS
import weka.gui.graphvisualizer.GraphVisualizer as GraphVisualizer
import javax.swing.JFrame as JFrame
import os
# load data
data = DS.read(os.environ.get("MOOC_DATA...
