If a features was really useless then it uselessness

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Unformatted text preview: Ø ×Ø Ò × ÑÔÐ × ÑÑ Ñ Ñ℄ ´ Ñ º» Ƶ º¶ ½¼¼ × Þ ´Ø ×ØÁÒÔÙØ׸¾µ ÔÖ ÒØ ´³ÌÓØ Ð Ø ×Ø Ò × ÑÔÐ × ÑÑ Ñ Ñ℄ ´ Ñ º» Ƶ º¶ ½¼¼ Ñ Ñ Ô Ñ Ñ Ô ÔÖ ÒØ ´³È Ö ÒØ ÓÖÖ Ø Ð ×× Ø ÓÒ ½¼¼¶´ Ñ´½¸½µ· Ñ´¾¸¾µµ»Æµ ÔÖ ÒØ ´³È Ö ÒØ ÁÒ ÓÖÖ Ø Ð ×× Ø ÓÒ ½¼¼¶´ Ñ´½¸¾µ· Ñ´¾¸½µµ»Æµ ± ±± Ò³¸ ÔÖ ÒØ ´³È Ö ÒØ ººº ÓÖÖ Ø Ð ×× Ø ÓÒ ½¼¼¶´ Ñ´½¸½µ· Ñ´¾¸¾µµ»Æµ ± ±± Ò³¸ ÔÖ ÒØ ´³È Ö ÒØ ººº ÁÒ ÓÖÖ Ø Ð ×× Ø ÓÒ ½¼¼¶´ Ñ´½¸¾µ· Ñ´¾¸½µµ»Æµ ± ±± Ò³¸ ± ±± Ò³¸ (c) Design a method to test what crab physical characteristic is the most important for the classification. Which one is the less important? For this test, it would be possible to evaluate if a characteristic is important by running the network training and evaluation without it and recording the resulting performance. Removing the most important features will reduce the most the classification performances. Removing the less important feature will have little or no influence on the classification results. (d) In the tutorial, a fixed random seed is used in order to ensure that everybody running the tutorial will get the same result. Try varying the random seed and observe the consequence on the classification performance. How sensitive is the system to the initial random conditions? The classification...
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This note was uploaded on 03/21/2010 for the course IT ANN taught by Professor Mario during the Spring '10 term at École Normale Supérieure.

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