Training loss low, but testing loss is high
79352
Definition of Overfitting
113807
Testing Classification on Oversampled Imbalance Data
78589
Why mini batch size is better than one single "batch" with all training data?
12304
State-of-the-art algorithms for the training of neural networks with GRU or LSTM units
69676
Keras CNN with low/constant accuracies
104621
On the hardness of data to learn
28449
Is it possible to get worse model after optimization?
53204
Can weight decay be higher than learning rate
77815
Machine Learning with intended missing values
157299
Dropout makes performance worse
29411
Why P>0.5 cutoff is not "optimal" for logistic regression?
153285
Is hyperparameter tuning on sample of dataset a bad idea?
95412
Tensoring is not left exact
94221
What causes sudden drops in training/test errors when training a neural network?
94732
Why do neural networks need so many training examples to perform?
129280
Neural networks: why do we randomize the training set?
98728
Random forest is overfitting?