You are given a dataset with 500 examples, 20 features and 2 classes. the data is linearly separable, and thus, you train a linear svm using 5-fold cross validation obtaining the following results: fold 1 fold 2 fold 3 fold 4 fold 5 error 1/100 36/100 1/100 0/100 1/100 the classifier is performing very well except the 2nd fold. can you give a plausible explanation? (hint: think about the support vectors)

Simon is writing a story about an astronaut whose spacecraft has been boarded by space pirates. the astronaut has her lucky penny in her hand behind her back as the space pirates break into the control room. she has just locked the controls so that the ship is accelerating in the direction of the control room’s ceiling. simon wants the astronaut to use the penny to hit a button on the control panel to turn off the lights and escape. the button is located a short distance behind and below the astronaut’s hands. how should simon use the theory of relativity to describe what the astronaut must do in order to hit the button?