关闭

Implementing single node decision tree, bagging, adaboost using matlab

该项目收到5 来自天才威客的竞标,平均竞标价格为₹1600 INR

为像这样的项目获取免费报价
雇主工作
项目预算
₹600 - ₹1500 INR
全部竞标
5
项目描述

[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.

 

需要技能

在寻找赚取金钱的机会?

  • 设定您的预算和时间框架
  • 大致描述您的建议方案
  • 为您的工作领取工资

雇用同样在该项目上竞标的威客

    • Forbes
    • The New York Times
    • Time
    • Wall Street Journal
    • Times Online