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The second part asks us to report the test mean square errors of models. But the example of the Boston housing data in the textbook and the slide use mean absolute errors for evaluation. I'm wondering…
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The evaluation function of the regression model should be the mean square error, why is it negative?
![image](https://user-images.githubusercontent.com/25979807/80296458-09ff3180-87ae-11ea-9b72-605b2…
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Hi I'm getting the error below when doing a classification,
The dependent variable was converted to factor, we have 5 classes.
Am I doing something wrong?
`Residual Sum of Squares (Predicted): …
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The idea is to add more metrics taking as basis torchmetrics and tf metrics implementation.
### Guidelines
- For implementation purposes reference to [accuracy](https://github.com/cgarciae/treex…
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**TypeScript Version:** 3.6.0-dev.20190814
**Search Terms:**
- quick fix
- code action
- getCodeFixes
**Code**
With `strict: true`:
```ts
class Foo {
public readonly map…
mjbvz updated
1 month ago
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### Describe the bug
In MLPRegressor, if the option early_stopping is set as True, the model will monitor the loss calculated on the validation set in stead of the training set, using the same loss…
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---
Author Name: **James** (James)
Original Redmine Issue: 118741, https://vlab.noaa.gov/redmine/issues/118741
Original Date: 2023-07-25
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Given an evaluation that makes an incorrect request to…
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Hi I'm testing a single target using BCC with J48.
The result seems to be different compared to Weka.
E.g. Accuracy is 0.525 in Meka while 0.5 in Weka for cross validation.
Is the method imple…
vutle updated
6 years ago
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```
Per Ferreira, pg 66:
Mathematical Prediction:
- Number of Hits (absolute/relative)
- Precision & Selection Range (absolute/relative)
- Mean Squared Error (absolute/relative)
- R-square
C…
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I know this is dummy beginner question but how do I calculate mean directional accuracy for stack-rnn-arima-xgb or any deep learning experiments?
E.g. instead of mean square error I want to calculate…