. Use the following learning schemes to analyze the bolts data ( bolts.arff without the TIME attribute):
- Decision stump- weka.classifiers.DecisionStump
- Decision table- weka.classifiers.DecisionTable -R
- Linear regression- weka.classifiers.LinearRegression
- M5′- weka.classifiers.M5′
The dataset describes the time needed by a machine to produce and count 20 bolts. (More details can be found in the file containing the dataset.) Analyze the data. What adjustments have the greatest effect on the time to count 20 bolts? According to each classifier, how would you adjust the machine to get the shortest time to count 20 bolts?