ECE 595ML Lecture 22.3: Is Learning Feasible? - Testing vs. Training

By Stanley H. Chan

Electrical and Computer Engineering, Purdue University, West Lafayette, IN

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Researchers should cite this work as follows:

  • Stanley H. Chan (2020), "ECE 595ML Lecture 22.3: Is Learning Feasible? - Testing vs. Training," https://nanohub.org/resources/32756.

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WTHR 200, Purdue University, West Lafayette, IN

ECE 595ML Lecture 22.3: Is Learning Feasible? - Testing vs. Training
  • Lecture 22.3: Training versus Testing 1. Lecture 22.3: Training versus … 0
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  • Outline 2. Outline 7.8745412078745414
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  • In-Sample Error 3. In-Sample Error 26.526526526526528
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  • Out-Sample Error 4. Out-Sample Error 198.53186519853188
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  • In-sample VS Out-sample 5. In-sample VS Out-sample 368.80213546880213
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  • The Role of p( x) 6. The Role of p( x) 525.291958625292
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  • When Will Ein = Eout? 7. When Will Ein = Eout? 562.42909576242914
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  • When Will Ein = Eout? 8. When Will Ein = Eout? 735.402068735402
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