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)

Contrast the force of gravity between these pairs of objects: 1-kg mass and a 2-kg mass that are 1 m apart; a 1-kg mass and a 2-kg mass that are 2 m apart; and two 2=kg masses that are 1 m apart. i dont understand.

One hazard of space travel is debris left by previous missions. there are several thousand masses large enough to detect by radar orbiting the earth, but there are far greater numbers of very small masses such as flakes of paint. calculate the force exerted by a 0.110 mg chip of paint that strikes a space shuttle window at a relative speed of 5.00 ✕ 103 m/s and sticks, given the collision lasts 6.00 ✕ 10-8 s. such a collision chipped the window of the ill-fated challenger in june 1983, causing $50,000 of damage.

Apropagating wave in space with electric and magnetic components. these components oscillate at right angles to each other. it may travel in a vacuum.