I am training a Binary classification model with Tensorflow 2.8.
I pass the following metrics: ['accuracy', tf.keras.metrics.Precision(), tf.keras.metrics.Recall()] but on every epoch accuracy, precision and recall are exactly the same.
Accuracy, Precision and Recall are exactly the same during training
204 Views Asked by Thanos At
1
There are 1 best solutions below
Related Questions in PYTHON
- How to store a date/time in sqlite (or something similar to a date)
- Instagrapi recently showing HTTPError and UnknownError
- How to Retrieve Data from an MySQL Database and Display it in a GUI?
- How to create a regular expression to partition a string that terminates in either ": 45" or ",", without the ": "
- Python Geopandas unable to convert latitude longitude to points
- Influence of Unused FFN on Model Accuracy in PyTorch
- Seeking Python Libraries for Removing Extraneous Characters and Spaces in Text
- Writes to child subprocess.Popen.stdin don't work from within process group?
- Conda has two different python binarys (python and python3) with the same version for a single environment. Why?
- Problem with add new attribute in table with BOTO3 on python
- Can't install packages in python conda environment
- Setting diagonal of a matrix to zero
- List of numbers converted to list of strings to iterate over it. But receiving TypeError messages
- Basic Python Question: Shortening If Statements
- Python and regex, can't understand why some words are left out of the match
Related Questions in TENSORFLOW
- A deterministic GPU implementation of fused batch-norm backprop, when training is disabled, is not currently available
- Keras similarity calculation. Enumerating distance between two tensors, which indicates as lists
- Does tensorflow have a way of calculating input importance for simple neural networks
- How to predict input parameters from target parameter in a machine learning model?
- Windows 10 TensorFlow cannot detect Nvidia GPU
- unable to use ignore_class in SparseCategoricalCrossentropy
- Why is this code not working? I've tried everything and everything seems to be fine, but no
- Why convert jpeg into tfrecords?
- ValueError: The shape of the target variable and the shape of the target value in `variable.assign(value)` must match
- The kernel appears to have died. It will restart automatically. whenever i try to run the plt.imshow() and plt.show() function in jupyter notebook
- Pneumonia detection, using transfer learning
- Cannot install tensorflow ver 2.3.0 (distribution not found)
- AttributeError: module 'keras._tf_keras.keras.layers' has no attribute 'experimental'
- Error while loading .keras model: Layer node index out of bounds
- prediction model with python tensorflow and keras, gives error when predicting
Related Questions in KERAS
- Keras similarity calculation. Enumerating distance between two tensors, which indicates as lists
- How to predict input parameters from target parameter in a machine learning model?
- What is the alternative to module: tf.keras.preprocessing?
- My MSE and MAE are low, but my R2 is not good, how to improve it?
- No module named 'keras.layers.core
- AttributeError: 'Sequential' object has no attribute 'predict_classes'. Did you mean: 'predict_step'?
- AttributeError: module 'keras._tf_keras.keras.layers' has no attribute 'experimental'
- Error while loading .keras model: Layer node index out of bounds
- prediction model with python tensorflow and keras, gives error when predicting
- Recommended way to use Gymnasium with neural networks to avoid overheads in model.fit and model.predict
- Keras OCR - Getting different results from Keras
- No gradients provided for any variable in R
- Error Encountered: InvalidArgumentError: Graph execution error using Keras and Transformers
- How to import logsumexp from keras.backend?
- Keras predict/predict_on_batch giving different answers than predict_step/__call__()
Related Questions in IMAGE-CLASSIFICATION
- Error while loading .keras model: Layer node index out of bounds
- While working on binary image classification, the class mode set to binary incorrectly labels the images, but does it correct on categorical
- Segmentation with Geotiff image
- Simple ResNet model can not tell if two monotone images are the same color
- Given groups=1, weight of size [16, 32, 3, 3], expected input[42, 19, 224, 224] to have 32 channels, but got 19 channels instead
- Template matching model for object orientation estimation converges fast with in-plane rotations only, but fails with full 3D orientations
- K means loop doesn't work for the image clustering
- Issue with HuggingFace Inference API for ViT Model - “image-feature-extraction” Error
- How to solve this error "UnsupportedOperation: fileno"
- Tensor size mismatch while running SHAP DeepExplainer
- Ways to convert 4x4 grid of icons to Text
- Designing Loss Function for Multi-Label Classification Problem with Fixed Number of Labels
- building custom image classification model not working
- Medical Binary Classification probability : BCE vs CrossEntropy
- How do i change the input shape of a pytorch resnet50 model before training to 224, 224, 3 from 3, 224, 224
Related Questions in PRECISION-RECALL
- How I get precision, recall, and f1-score from nltk.naivebayesclassifier?
- precision recall curve - no skill model
- How to calculate predictive performance in this search-based algorithm?
- Why do the sklearn classifiers not have threshold parameter?
- How to get a single recall score for all images using Torchmetrics module
- Why is the accuracy of average="micro" the same as precision or recall in multi-class classification?
- Computing precision/recall for a one-class detector
- How to calculate macro, weighted Precision Recall values in tensorflow?
- Average precision implementation for object detection - low confidence detections do not impact the score
- ROC curve for detection and classification task, what to do with missed ground truths?
- Binary Image classification with CNN, but Precision-Recall-F1 Score is 0 for one class
- The precision and recall generated from the ROUGE score
- Getting different values from manual precision calc and scikit-learn version
- Obtain F1score, Recall, Confusion Matrix and precison
- tf recall precision not working for class_id 0
Trending Questions
- UIImageView Frame Doesn't Reflect Constraints
- Is it possible to use adb commands to click on a view by finding its ID?
- How to create a new web character symbol recognizable by html/javascript?
- Why isn't my CSS3 animation smooth in Google Chrome (but very smooth on other browsers)?
- Heap Gives Page Fault
- Connect ffmpeg to Visual Studio 2008
- Both Object- and ValueAnimator jumps when Duration is set above API LvL 24
- How to avoid default initialization of objects in std::vector?
- second argument of the command line arguments in a format other than char** argv or char* argv[]
- How to improve efficiency of algorithm which generates next lexicographic permutation?
- Navigating to the another actvity app getting crash in android
- How to read the particular message format in android and store in sqlite database?
- Resetting inventory status after order is cancelled
- Efficiently compute powers of X in SSE/AVX
- Insert into an external database using ajax and php : POST 500 (Internal Server Error)
Popular # Hahtags
Popular Questions
- How do I undo the most recent local commits in Git?
- How can I remove a specific item from an array in JavaScript?
- How do I delete a Git branch locally and remotely?
- Find all files containing a specific text (string) on Linux?
- How do I revert a Git repository to a previous commit?
- How do I create an HTML button that acts like a link?
- How do I check out a remote Git branch?
- How do I force "git pull" to overwrite local files?
- How do I list all files of a directory?
- How to check whether a string contains a substring in JavaScript?
- How do I redirect to another webpage?
- How can I iterate over rows in a Pandas DataFrame?
- How do I convert a String to an int in Java?
- Does Python have a string 'contains' substring method?
- How do I check if a string contains a specific word?
A same value for Precision and Recall is possible when False Positives is equal to False Negatives. It doesn't mean that the model is incorrect.