M2. Selecting the best model
| Topic | Replies | Views | Activity | |
|---|---|---|---|---|
| Run notebook localy |
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4 | 68 | 13 March 2022 |
| Question 4 |
|
3 | 123 | 10 March 2022 |
| Default scoring metric for cross_validate (regression) |
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1 | 48 | 5 March 2022 |
| Learning_curve scoring parameter choice |
|
1 | 50 | 4 March 2022 |
| Inductive bias |
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2 | 84 | 1 March 2022 |
| Gamma influence in the learning curve |
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1 | 48 | 2 March 2022 |
| Score vs error |
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3 | 80 | 2 March 2022 |
| Why are there 5 models trained and evaluate?d |
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2 | 51 | 1 March 2022 |
| How to choose best plot option |
|
1 | 69 | 1 March 2022 |
| Plateau |
|
1 | 48 | 27 February 2022 |
| Learning_curve with size=1 |
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4 | 54 | 25 February 2022 |
| Enough & Appropriate Data |
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2 | 43 | 25 February 2022 |
| The noise |
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2 | 111 | 23 February 2022 |
| Example 1 and 2 M2. Video |
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2 | 56 | 22 February 2022 |
| 'svc__gamma' to be replaced by 'classifier__gamma' |
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3 | 107 | 19 February 2022 |