Useful tips for everyday
What does binomial logistic regression tell you? A binomial logistic regression (often referred to simply as logistic regression), predicts the probability that an observation falls…
How is the accuracy of binary classification calculated? Classification accuracy, which is the ratio of instances correctly classified, Error rate, which is the ratio of…
Can Gradient Boosting be used for classification and regression? It is a technique of producing an additive predictive model by combining various weak predictors, typically…
Do transformers use word Embeddings? The BERT base model uses 12 layers of transformer encoders as discussed, and each output per token from each layer…
How can customer segmentation be improved? 10 practical tests to improve customer segmentation Segmentation needs to be practical. Segments must be discernably different. Don’t confuse…
What is inverse probability weighting missing data? The inverse probability weighting (IPW) approach preserves the semiparametric structure of the underlying model of substantive interest and…
What is the difference between Skip gram and CBOW? CBOW tries to predict a word on the basis of its neighbors, while Skip Gram tries…
Is accuracy good for imbalanced class problems? Accuracy Fails for Imbalanced Classification. Classification accuracy is the most-used metric for evaluating classification models. As such, it…
Does Adam adjust learning rate? How Does Adam Work? Adam is different to classical stochastic gradient descent. Stochastic gradient descent maintains a single learning rate…
How to update LSTM networks during training for time series forecasting? Transform the observations to have a specific scale. Specifically, to rescale the data to…