machine-learning
What is a Learning Curve in machine learning?
I want to know what a learning curve in machine learning is. What is the standard way of plotting it? I mean what should be the x and y axis of my plot?
Solution
It usually refers to a plot of the prediction accuracy/error vs. the training set size (i.e: how better does the model get at predicting the target as you the increase number of instances used to train it)
Usually both the training and test/validation performance are plotted together so we can diagnose the bias-variance tradeoff (i.e determine if we benefit from adding more training data, and assess the model complexity by controlling regularization or number of features).
- What is a Learning Curve in machine learning?
- Is there a standard file naming convention for key-value pairs in filename?
- how to use ML Models in android application
- How to make a multifactor model in pROC?
- Sagemaker batch transformer with my own pre-trained model
- Can we import a python made ML model (.pkl) in rust?
- How to use OpenCV to do OCR and text detect and recognition
- Realworld parameter optimization
- What do the coefficients on correlated variables mean?
- Handling Class Imbalance in Multi-class Classification with Custom Loss Function
- Struggling to understand complete predictive model process in R
- How to allocate GPUs on AWS Free Tier?
- Open Source Neural Network Library
- How to make FeatureUnion return Dataframe
- What is the role of "Flatten" in Keras?
- Machine learning model predicts training labels themselves as result
- split an audio file into chunks, skip the chunks less than desired time duration, and predict emotion for the entire audio file
- Facing ValueError: Target is multiclass but average='binary'
- Detectron2 - Extract region features at a threshold for object detection
- Detectron2 Checkpoint not found
- Incomprehensible shape error with one of the inputs of my non-sequential keras model
- How to process requests from multiiple users using ML model and FastAPI?
- Alternative to device_map = "auto" in Huggingface Pretrained
- np.where: "ValueError: operands could not be broadcast together with shapes (38658637,) (9456,)"
- How to compute number of weights of CNN?
- How to find the connected instances from a minimum spanning trees model in R
- Can a neural network be trained while it changes in size?
- Keras-rl2 error Compability with Tensorflow
- Separate a ingredients/feature into separate columns that is marked with "0" or "1"
- How to conditionally assign values to tensor [masking for loss function]?