Timeline for How to get accuracy, F1, precision and recall, for a keras model?
Current License: CC BY-SA 4.0
13 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Aug 17, 2023 at 14:37 | comment | added | Murilo |
It does work for multiclass problems if you one-hot-encode the output and use categorical_crossentropy as loss function and softmax as activation function of last layer. But it does not work if you don't provide the output in one-hot-encode format and try to use sparse_categorical_crossentropy as loss. In this last case, precision, recall and f1 are always higher than 1.
|
|
| Nov 8, 2022 at 16:09 | comment | added | Eli Halych | Doesn't work well for a 3-class classification problem. Precision is always 0, and f1 score starts above 1.0 and goes down over time. | |
| Oct 27, 2020 at 14:23 | review | Suggested edits | |||
| Oct 27, 2020 at 17:32 | |||||
| Aug 27, 2020 at 11:40 | comment | added | Zeeshan Ali | @Panathinaikos these functions work right only for binary classification. | |
| May 8, 2020 at 12:25 | comment | added | rsd96 | recall and precision going higher than 1 for categorical classification | |
| Mar 29, 2020 at 10:02 | comment | added | Panathinaikos | Is there a reason why I get recall values higher than 1? | |
| S Mar 12, 2020 at 16:14 | history | suggested | TQA | CC BY-SA 4.0 |
Format Python code
|
| Mar 12, 2020 at 15:43 | review | Suggested edits | |||
| S Mar 12, 2020 at 16:14 | |||||
| Jan 12, 2020 at 7:07 | comment | added | Rodrigo Ruiz | Any idea why this is not working on validation for me? works fine for training. | |
| Feb 6, 2019 at 15:08 | vote | accept | ZelelB | ||
| Feb 6, 2019 at 14:03 | comment | added | Tasos | Since Keras calculate those metrics at the end of each batch, you could get different results from the "real" metrics. An alternative way would be to split your dataset in training and test and use the test part to predict the results. Then since you know the real labels, calculate precision and recall manually. | |
| Feb 6, 2019 at 13:52 | comment | added | ZelelB | if they can be misleading, how to evaluate a Keras' model then? | |
| Feb 6, 2019 at 13:35 | history | answered | Tasos | CC BY-SA 4.0 |