imgaboy
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- Joined
- Feb 7, 2018
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- Student or Learner
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Grammar check - Discussion for my research
Hi there,
I have to create an discussion for my research. I have finished a part of it.
Could somebody help me by checking it?
Here is my document:
The accuracy of the models is the satisfactory accuracy of more than 80%. It confirms the supposition that we are able to efficiently predict learning outcomes. Through a more detailed research, the two models show significant differences. In average 40 attributes played a significant role in the success and failure rate. The best results were achieved by those parameters that were connected to the learning material or the average value of cursor distance on a curriculum page. Based on trees for Random forest methods, we could describe which were the most important features in our prediction models. As we expected the highest weight got the input test grades, after which follow the average time, mouse speed and mouse distance which spent in the whole course. The third important things were the number of clicks, and scrolls, and the number of mouse move on the page of the curriculum. As the beginning, we expected the amount of time would influence most the outcome because who take more time in the system, they would learn more. In the end, we have realized take more time in the course don’t have a considerable effect the outcome grades. On the other hand, as in the ordinary school, the number of days which spent between learning and testing has shown his effect during the evaluation process.
Hi there,
I have to create an discussion for my research. I have finished a part of it.
Could somebody help me by checking it?
Here is my document:
The accuracy of the models is the satisfactory accuracy of more than 80%. It confirms the supposition that we are able to efficiently predict learning outcomes. Through a more detailed research, the two models show significant differences. In average 40 attributes played a significant role in the success and failure rate. The best results were achieved by those parameters that were connected to the learning material or the average value of cursor distance on a curriculum page. Based on trees for Random forest methods, we could describe which were the most important features in our prediction models. As we expected the highest weight got the input test grades, after which follow the average time, mouse speed and mouse distance which spent in the whole course. The third important things were the number of clicks, and scrolls, and the number of mouse move on the page of the curriculum. As the beginning, we expected the amount of time would influence most the outcome because who take more time in the system, they would learn more. In the end, we have realized take more time in the course don’t have a considerable effect the outcome grades. On the other hand, as in the ordinary school, the number of days which spent between learning and testing has shown his effect during the evaluation process.
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