Discussion 04:
Discuss the major issues in the classification model overfitting. Give some examples to illustrate your points.
Discussion 05:
Compare different Ensemble methods with appropriate examples.
Discussion 06:
Discuss the strengths and weaknesses of using K-Means clustering algorithm to cluster multi class data sets. How do you compare it with a hierarchical clustering technique.
Discussion 07:
Compare and contrast the different techniques for anomaly detection that were presented in Chapter 9.
Discuss techniques for combining multiple anomaly detection techniques to improve the identification of anomalous objects.
Discuss the major issues in the classification model overfitting. Give some examples to illustrate your points.
Discussion 05:
Compare different Ensemble methods with appropriate examples.
Discussion 06:
Discuss the strengths and weaknesses of using K-Means clustering algorithm to cluster multi class data sets. How do you compare it with a hierarchical clustering technique.
Discussion 07:
Compare and contrast the different techniques for anomaly detection that were presented in Chapter 9.
Discuss techniques for combining multiple anomaly detection techniques to improve the identification of anomalous objects.
