Linked Questions

I was reading XGBoost's documentation here: https://xgboost.readthedocs.io/en/latest/tutorials/custom_metric_obj.html. It's not immediately clear to me how the objective function and evaluation metric ...

It is not clear for me the difference between loss function and metrics in Keras. The documentation was not helpful for me.

It is not yet clear for me what metrics are (as given in the code below). What exactly are they evaluating? Why do we need to define them in the model? Why we can have multiple metrics in one model? ...

I am learning neural networks and I built a simple one in Keras for the iris dataset classification from the UCI machine learning repository. I used a one hidden layer network with a 8 hidden nodes. ...

I have the following evaluation metrics on the test set, after running 6 models for a binary classification problem: accuracy logloss AUC 1 19% 0.45 0.54 2 67% 0.62 0.67 3 66% ...

I would like to know how Keras computes the validation and training accuracies for multi-class classification problems (i.e., the function used). I set my model compile as follows: model.compile(...

If I correctly understood the significance of the loss function to the model, it directs the model to be trained based on minimizing the loss value. So for example, if I want my model to be trained in ...

I'm currently working on a multi-class classification problem which is highly imbalanced. I want to save my model weights for best epoch but I'm confused on which metric I should choose? Here's my ...

I have gone through this, and this post. However, my question is very specific: If the output of my model.predict() function for a classification problem with class labelled 0 and 1 is something like: ...

hi what is the basic difference between 'scoring' and 'metrics'. these are used to measure performance but how do they differ? if you see the example in the below the cross val is using '...

I'm trying to try to train a model using sklearn, however, I want to change the decision threshold to train the model. Most of the result I find in SO are for prediction on test set.

First of all,I am confused about why we use the loss to update the model but use the metrics to choose the model we need. Maybe not all of code, but most of the code I've seen does,they use ...

Currently doing a multi-label classifier. I receive suspiciously high accuracies (0.94) calling the evaluate method in keras(the evaluate method returns accuracy and loss). I then tried to program ...

I'm pretty sure that the answer is no, but wanted to confirm... When training a neural network or other learning algorithm, we will compute the cost function J(θ) as an expression of how well our ...

I am trying to analyze the data that shows people catch the disease or not. That is, response is binary. I applied logistic regression. Assume the result of the log.reg (logistic regression) is like; ...