Snot Test Update – Machine Learning Guide Answer + random search example – Predicted if magnetic data came from saltwater boil with aluminum foil wrap or an aluminum foil wrap around snot paper. Accuracy 17000 iterations 65% (Raspberry Pi 4 used). Did a mean reduction of data for overlap.

Machine Learning Guide Answer + random search example – Predicted if magnetic data came from saltwater boil with aluminum foil wrap or an aluminum foil wrap around snot paper. Accuracy 17000 iterations 65% (Raspberry Pi 4 used). Did a mean reduction of data for overlap. Could be seeing some other difference. Difference in aluminium maybe. Again starter example.

Used random search and stored good values in the ?bias with model3. Then used a model2 with the train target as input. But output from model2(yt+model3(random)) is limes to 1. So input to the main model is X*X2 and X2 goes to one so one*X = X.