The confusion matrix is important because it tells us our True Positive, True Negative, False Positive, False Negative values. Our True Positive (TP) value is found in the upper left corner of the matrix and is 99. Our True Negative (TN) value is located the bottom right corner of the matrix and its value is 181. Our False Positive (FP), bottom left, and False Negative (FN), top right, are 73 and 89 respectively. False Positive and False Negative represent classification errors while the True Positive and True Negative values represent correct classifications. We can tell some interesting things from looking at our confusion matrix. For one thing, the model misclassified instances that were NO almost as many times as it correctly classified these instances. On the other hand, our model did a much better job of correctly classifying instances in the YES category. …show more content…
The sum of all values in the confusion matrix is equal to 30% of our dataset because that is the portion of instances we reserved for testing. We can get the True Positive rate which is the portion of instances correctly identified in the positive class, using the formula TP/(TP+FN)=99/(99+89)=.53. The False Positive rate, which is the number correctly identified in the negative class, is calculated as FP / (FP + TN)=73/(73+181)=.29. Precision is calculated as TP / (TP + FP)=99/(99+73)=58. Finally, the F-measure is calculated as (2*TP) / (2*TP + FP + FN)=(2*99)/(2*99+73+89)=.55. These are good evaluators but they are all single threshold
As you know box has very important labels attached to it.one of the important labels is FBA label. In manual check we are generating frx and then throwing away the box. The most complicated problems at the line 16 is when PO connected to the ASIN does not match with PO connected to frx. As my experience 90 percent of books have this kind of problem.
There have been revisions made to ITERS which is why it’s known as ITERS-R. They are now able to answer some questions with yes or no and even NA. By making changes like this we are able to be more
Accuracy: This paper demonstrates much accuracy, this is proven through the subtitles, statistics and in text citations for
Jean Carletta, “Assessing agreement on classification tasks: The kappa statistic”. Computational Linguistics, MIT Press Cambridge, MA, USA, Vol. 22, No.2, pp. 249–254, 1996.
"Deviance, like beauty, is in the eyes of the beholder. There is nothing inherently deviant in any human act, something is deviant only because some people have been successful in labeling it so." – J.L. Simmons
The second model is the LEARN model which was developed by Dr. Elois Ann Berlin and Dr. William Fowkes (1983). It has similar objectives to the previous pneuomnic, which are to provide health care practitioners with a simple pneumonic to improve cross-culture communication. This model should not be viewed as a separate pneumonic to memorize but rather a complimentary method to implement culturally appropriate health care for all patients.
The Labeling Theory is the view that labels people are given affect their own and others’ perception of them, thus channeling their behavior either into deviance or into conformity. Labels can be positive and/or negative, but I’ll focus on the negative aspects of labeling in high school. Everybody has a label in high school whether it is the “slut”, “pothead”, “freak” or the “jock”; it is one of the most apparent time periods in which individuals get labeled. Students have the mentality that whatever label is placed on them is going to be stuck with them forever, which then leads into a self-fulfilling prophecy. This, I feel, is a fear of being a “loser” that has been instilled throughout years by the principals, teachers, etc. An example of this is the pressure students are given to get a good grade. In order to get into an honors class they need to pass a certain test, should they not get into honors class the following year, then all throughout the rest of their remaining school life, they’ll never be able to be in honors class. They’ll then no longer be seen as the “smart” students they were “before”(even though they still are), they’ll now be labeled as “dumb” and eventually start to believe, and become their label. Another example of this is being labeled a “slut”. When a girl has been labeled a slut, early or in the middle of her school life, the label sticks with her all throughout her remaining school years. At first, she could reject this label, and try to “change”...
The way the test is based when answering the questions is YES, which means you are absolutely certain you agree with the question. You’ll also see another yes but it will be all lowercase meaning you agree but not absolutely. You will also see an uncertain button when you absolutely are a little bit of both yes and no. Another answer is just a no which is all lower cased, which means you do not agree with the question and There is last option is a NO with all uppercase, which means your are totally do not agree with the
Identify the cognitive distortion type that you relate to and then create a statement that represents your specific distorted thinking (e.g., Emotional Reasoning - "If I feel stupid in social situations then I must be stupid".
Before learning the methods from the computer tutorial, I was confused about certain test. B...
In figure 2, the class mean calculated was 147.8kJ. The difference between the two measurements is 2,122.2kJ. This shows how low the accuracy for this experiment was. The macadamia nuts had a true energy value of 3040kJ per 100g. Looking back at figure 2, the class mean calculated was 224.4kJ which leaves a difference of 2,815.6kJ. Once again, a low accuracy. Lastly, the popcorn had a true energy value of 1910kJ. The class mean equalled to 144.1kJ. The difference between the class mean and the true value is 1,765.9kJ which shows this experiment being low in
...inty between 1.0% (0.1/10.00*100) and 2.13% in the measured volume and 0.1/4.70*100). We also used a digital thermometer that allowed us to read the temperature readings from five degrees celcius to eighty degrees celcius. Since the digital thermometer have an absolute accuracy of plus or minus one degree celcius, it gives a percent uncertainty between 0.125 % (0.1 / 5.00 * 100) and 0.2 % (0.1/ 80.0 * 100). One of the difficulties we faced during the lab is reading the inverted graduated cylinder. To account for the inverse meniscus, we subtracted 0.2 mL from all the volumetric measurements to account for that. Volumetric uncertainty is the most important in determining the accuracy of this experiment since we are constantly checking for the volume throughout the lab. It also is the factor that gives the highest percent uncertainty out of all the instruments used.
To make sure that the system is success to help improving the business, I carried out some tests to evaluate the product. I tested the system based on the method of testing and compared the results with the design specifications. Based on the method of testing, the first test is to check if I have provided more than 20 dummies data in the system. According to the result of the system, there is 43 dummies data in the product. That means my system can be categorized as success in the first test. The next test, I asked the employees if the system is hard or not to use and unfortunately most of them said that it is quite hard and confusing. In the design specification, it also written that I need to asked the...
In the past few decades we have seen how computers are becoming more and more advance, challenging the abilities of the human brain. We have seen computers doing complex assignments like launching of a rocket or analysis from outer space. But the human brain is responsible for, thought, feelings, creativity, and other qualities that make us humans. So the brain has to be more complex and more complete than any computer. Besides if the brain created the computer, the computer cannot be better than the brain. There are many differences between the human brain and the computer, for example, the capacity to learn new things. Even the most advance computer can never learn like a human does. While we might be able to install new information onto a computer it can never learn new material by itself. Also computers are limited to what they “learn”, depending on the memory left or space in the hard disk not like the human brain which is constantly learning everyday. Computers can neither make judgments on what they are “learning” or disagree with the new material. They must accept into their memory what it’s being programmed onto them. Besides everything that is found in a computer is based on what the human brain has acquired though experience.
The Myers-Briggs Type Indicator is a kind of personality inventory to show the type of personality and make the theory of psychological type to understand and useful in people’s life. There are four categories: Extraversion vs Introversion, Sensing vs Intuition, Thinking vs Feeling, and Judging vs Perceiving. It’s would help us to know a basic knowledge of our individual personality. The answer of this survey would show which traits we prefer rather than which characteristic more stronger or weakness. Through this indicator, under normal circumstances the majority results are accurate, even though that some results could not exactly right due to some questions were strange or the one who can not ensure the answer. Therefore the results form