covariate shift hypothesis class regression blackbox train data neural network test data features optimization underfit Python double descent labels unsupervised learning linear regression supervised learning statistical/computational complexity tradeoff bias- variance tradeoff test error reinforcement learning classification train error clustering overfit covariate shift hypothesis class regression blackbox train data neural network test data features optimization underfit Python double descent labels unsupervised learning linear regression supervised learning statistical/computational complexity tradeoff bias- variance tradeoff test error reinforcement learning classification train error clustering overfit
(Print) Use this randomly generated list as your call list when playing the game. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
G-covariate shift
G-hypothesis class
G-regression
N-blackbox
I-train data
O-neural network
N-test data
I-features
O-optimization
B-underfit
I-Python
G-double descent
B-labels
I-unsupervised learning
B-linear regression
B-supervised learning
O-statistical/computational complexity tradeoff
N-bias-variance tradeoff
O-test error
B-reinforcement learning
O-classification
G-train error
N-clustering
I-overfit