Data Warehousing and Data MiningModel question
What is a rule based classifier? How to extract the rules from the decision tree? What is overfitting? How to detect overfitting? Explain the way to solve the overfitting problem. Train ID3…
10What is a rule based classifier? How to extract the rules from the decision tree? What is overfitting? How to detect overfitting? Explain the way to solve the overfitting problem. Train ID3 classifier using the dataset given below. Then predict the class label for the new data sample [Weather=Sunny, Temperature=Hot, Humidity=Normal, Wind=Strong].
Weather
Temperature
Humidity
Wind
Play Tennis
Sunny
Hot
High
Weak
No
Sunny
Hot
High
Strong
No
Overcast
Hot
High
Weak
Yes
Rainy
Mild
High
Weak
Yes
Rainy
Cool
Normal
Weak
Yes
Rainy
Cool
Normal
Strong
No
Overcast
Cool
Normal
Strong
Yes
Sunny
Mild
High
Weak
No
Sunny
Cool
Normal
Weak
Yes
Rainy
Mild
Normal
Weak
Yes
A worked answer is on its wayMeanwhile, read the Data Warehousing and Data Mining notes for this topic.
Discussion
Loading…
More Data Warehousing and Data Mining questions
Define strong association rule. What are the limitations of Apriori algorithm? Create a FP tree from the following data set. TID List of Items T1 A, B, C T2…TU Board 208210What is the role of Laplace smoothing? Create a decision tree from the following data set using ID3 as attribute selection approach. Object A1 A2 Class 1 T T…TU Board 208210Consider the data set (6,3), (7,2), (4,8), (2,2), (0,2), (9,0). Taking k=3, show the result after first iteration using k means algorithm. For choosing…TU Board 208210Explain about data mining primitives.TU Board 20825Define support vector. Write the algorithm for back propagation for classification.TU Board 20825What is data mart? Why do we need multidimensional data model?TU Board 20825