[Solved] CSC3022H ML3-Concept Learning

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Implement (in C++) the FIND-S algorithm (chapter 2 [Mitchell, 1997]). Use the training examples in table 1 to verify that it successfully produces the trace described in section 2.4 [Mitchell, 1997] for the Enjoysport example. Q1: Now use this program to determine the number of additional training examples required to exactly learn the target concept:

< Sunny, W arm, ?, ?, ?, ? >

In a ZIP file, place the source code, executable, and a text file containing your list of random training examples and the answer to Q1. Upload ZIP file to Vula before 10.00 AM, 19 August.

Table 1: Positive and negative training examples for target concept EnjoySport

Example Sky AirTemp Humidity Wind Water Forecast EnjoySport
1 Sunny Warm Normal Strong Warm Same Yes
2 Sunny Warm High Strong Warm Same Yes
3 Rainy Cold High Strong Warm Change No
4 Sunny Warm High Strong Cool Change Yes

1

References

[Mitchell, 1997] Mitchell, T. (1997). Machine Learning. McGraw Hill, New York, USA.

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[Solved] CSC3022H ML3-Concept Learning
$25