Similarity measure between training and testing loss to identify overfitting
70893
How to Identify Overfitting in Convolutional Neural network?
13657
Cross Validation Vs Train Validation Test
91880
Suggestions for cost-sensitive learning in a highly imbalanced setting
112758
Combining Bhattacharya Distance (or A Measure of Similarity) --- across Different Variables (Properties)
84407
How to judge if a supervised machine learning model is overfitting or not?
145878
Overfitting on the loss graph, but not the accuracy graph
19145
Validation of machine learning algorithms implementation
136197
Normalizing the final weights vector in the upper bound on the Perceptron's convergence
138537
Training N classifiers for N labels vs one classifier with N labels
42624
Class imbalance strategies
98863
Which metric to use to evaluate highly imbalance classification model performance
94048
ROC vs Precision-recall curves on imbalanced dataset
13664
Bias and variance in leave-one-out vs K-fold cross validation
104621
On the hardness of data to learn
114625
Model selection and cross-validation: The right way
17469
weighted cross entropy for imbalanced dataset - multiclass classification
139415
Interpretation of Importance score in Random Forest