lecture03-evaluation - INFS4203/INFS7203DataMining...

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Lecture Note 3 Lecture Note 3 Evaluation Evaluation By Gabriel Fung, PhD School of Information Technology and Electrical Engineering The University Of Queensland INFS4203 / INFS7203 – Data Mining
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Testing After Learning and before using the model (operation), we need to test it first! We need to “test” the model to see whether it “really learned” something. To see how good (reliable) the model is. P. 2
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Testing Prepare the training data and testing data Training Data and Testing Data will NEVER overlapped • Why? P. 3 ID Color Size Label 1 Pink 20cm Salmon 2 Green 30cm Not Salmon : : : : : : : : N Pink 18cm Salmon ID Color Size Label 1 Pink 20cm Salmon 3 Green 32cm Salmon : : : : : : : : K Black 24cm Not Salmon ID Color Size Label 2 Green 30cm Not Salmon 6 Grey 12cm Not Salmon : : : : : : : : M Pink 18cm Salmon Partition We will discuss how to partition shortly in the later slides Training Data Testing Data
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Testing Testing process: ID
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This note was uploaded on 04/08/2010 for the course CS 420 taught by Professor Dawsonengler during the Spring '02 term at San Jose State University .

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lecture03-evaluation - INFS4203/INFS7203DataMining...

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