[Solved] CS360 Assignment 6

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  1. Implementation of Single Layer Perceptron (SLP)

Classify the IRIS dataset by using the single layer neural network.

  • Download iris data from UCI web repository. Click her e
  • Read the data: input features in one variable and class labels into another in a vector form suitable for a neural network class label representation (2 marks)
  • Randomly select training and the test set: x% (begin with x=10) data from each class for training and all the rest for testing (2 marks)
  • Compute training and testing accuracy using SLP for 10 independent simulations and store the results from the individual simulations programmatically in an excel sheet (2 marks)
  • Compute training and testing accuracy by varying accuracy x (from 10% to 60%) as the following and report overall training and testing accuracy (average over 10 simulations): (2 marks)
1. Amount of randomly selected training data 2. Training accuracy (Average over 10 simulations) 3. Testing accuracy (Average over 10 simulations)
10%
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60%
  • Plot a graph keeping column 1 at x-axis and column 2 and 3 (at the same figure) at the y-axis. Use curves of different colors to denote curves for column 2 and 3

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[Solved] CS360 Assignment 6[Solved] CS360 Assignment 6
$25