Implementing single node decision tree, bagging, adaboost using matlab
This project received 5 bids from talented freelancers with an average bid price of ₹1600 INR.Get free quotes for a project like this
Browse Related Skills
Other things people do on Freelancer
Project Budget₹600 - ₹1500 INR
[url removed, login to view] a single-node decision tree:
Write functions which take a data set and compute the optimal decision plane. The input set of instances can be of two or more dimensions. The output from the main function must be the identified projection vector.
[url removed, login to view] bagging and AdaBoost:
Write functions which take a set of examples and identify the decision plane to separate the examples. The input set of instances can be of two or more dimensions. The output from the main function must be the identified hyper plane.
[url removed, login to view], write functions to visualize the synthetic data and evaluate the methods with synthetic data using MATLAB.
The functions should be able to allow user to specify which dimensions (no more than 3 dimensions) to be included in the visualization and be able to use color to differentiate examples from different classes.
Conduct cross-validation and report the average accuracy, sensitivity, and specificity.
Looking to make some money?
- Set your budget and the timeframe
- Outline your proposal
- Get paid for your work
Hire Freelancers who also bid on this project
Looking for work?
Work on projects like this and make money from home!Sign Up Now
- The New York Times
- Wall Street Journal
- Times Online