Henriapi illustrates this phenomenon as well.

Only instead of, you know, good and bad cancer tumors or benign or malignant tumors we instead have diabetes or not and so we will use that as a supervised, we will solve that as a Supervised Learning problem just like we did for the breast tumor data.

We didn't sequence his genome.

So on. So this example...

Here's an example of a training set for a classification task for classifying a tumor as malignant or benign and notice that malignancy takes on only two values zero or no or one or one or yes.

So 0 may denote the benign tumor and 1 positive class may denote a malignant tumor.

Walt, your tumor has shrunk by 80 percent.

So, if angiogenesis is a tipping point between a harmless cancer and a harmful one, then one major part of the angiogenesis revolution is a new approach to treating cancer by cutting off the blood supply.

SolidBlack

Black?

His knee turned a ghastly blackish purple from the swelling.

That's another classification problem, and earlier we also talked about the example of classifying tumors as a cancerous malignant or as benign tumors.

Mice with multiple myeloma, an incurable malignancy of the bone marrow, respond dramatically to the treatment with this drug.

I was very, very sick.

What does that mean?

That's the warm colors which show a well sampled region.

Let's see you want to look at medical records and try to predict of a breast cancer as malignant or benign.

So here is a nine year old boxer named Milo, who had a very aggressive tumor called a malignant neurofibroma growing on his shoulder.

She is dark skinned.

A few years ago I felt a lump on the side of my neck, and it was my turn in the MRI machine.

You get to observe the following that I've colorized two blacks followed by three reds by one black for the left image and one black followed by four reds by one black for the right scan line.

Let's look at the following situation.

Black car with a white cross painted on it.

You work for the men in black, who work for the man with the green eye.

OK, copied it.

Black on Light Yellow

Black for any colour

I'm drawing diligently, I said.

Mixture of the three primary colors creates black.

Spaceport floozy, spaceport floozy...

In other words, I'm going to tell my patient that the tumor, sadly, has a 70 chance or a 0.7 chance of being malignant.

You freak.

It looks kind of like an eggplant what with that color and the way it's all swollen up at the end.

Black on Random Light

New Yorker, dark hair, bits of gray.

That's counterindicative for a hemorrhagic tumor.

Disgusting!

It's weird.

Truly, you look very ill.

You look a little whiter than usual.

And a different set of patients, they look a little different, whose tumors turn out to be malignant, as denoted by the crosses.

Snap black to white, others to black

What does he look like? Grigory.

They've got that wryly smile on their mouth.

But often there is this intuition that the negative class is conveying the absence of something, like the absence of a malignant tumor, whereas one, the positive class, is conveying the presence of something that we may be looking for.