Already have an account? Get multiple benefits of using own account!
Login in your account..!
Remember me
Don't have an account? Create your account in less than a minutes,
Forgot password? how can I recover my password now!
Enter right registered email to receive password!
Arbitrary categorisation - learning decision trees:
Through visualising a set of boxes with some balls in. There if all the balls were in a single box so this would be nicely ordered but it would be extremely easy to find a particular ball. Moreover If the balls were distributed amongst the boxes then this would not be so nicely ordered but it might take rather a whereas to find a particular ball. It means if we were going to define a measure based at this notion of purity then we would want to be able to calculate a value for each box based on the number of balls in it so then take the sum of these as the overall measure. Thus we would want to reward two situations: nearly empty boxes as very neat and boxes just with nearly all the balls in as also very neat. However this is the basis for the general entropy measure that is defined follows like:
Now next here instantly an arbitrary categorisation like C into categories c1, ..., cn and a set of examples, S, for that the proportion of examples in ci is pi, then the entropy of S is as:
Here measure satisfies our criteria that is of the -p*log2(p) construction: where p gets close to zero that is the category has only a few examples in it so then the log(p) becomes a big negative number and the p part dominates the calculation then the entropy works out to be nearly zero. However make it sure that entropy calculates the disorder in the data in this low score is good and as it reflects our desire to reward categories with few examples in. Such of similarly if p gets close to 1 then that's the category has most of the examples in so then the log(p) part gets very close to zero but it is this that dominates the calculation thus the overall value gets close to zero. Thus we see that both where the category is nearly - or completely - empty and when the category nearly contains as - or completely contains as - all the examples and the score for the category gets close to zero that models what we wanted it to. But note that 0*ln(0) is taken to be zero by convention them.
Define bus A group of lines that serves as a connecting path for various devices is known as a bus.
Explain Real Time Operating System? Real time operating System: A real-time operating system has suitably-defined, fixed time constraints. Processing should be done in the d
hosting on aws
Write a BASH/C shell script which takes name of one or more files as a command line argument, and prints the following information for each file: owner, number of words in the file
Q. Which Colour technologies used in Monitors and Printer? Monitor screens and Printers use different colour technologies. The monitor uses RGB and the Printer CMYK. So, how d
How will you prepare problem statement? Problem statement should state what is to be completed and not how it is to be executed. It should be a statement of requirements not a
What is concurrent control? Control resides concurrently in various independent objects, every a separate task. A task can wait for input but other task continues implementatio
Can SMTP be used as transfer protocol for Web pages? Why? SMTP is an easy mail transfer protocol. This uses ASCII text for all communications. SMTP needs reliable delivery- the
Explain about the term RTL Fix. RTL Fix: An RTL fix implies you change the Verilog/VHDL code and you resynthesize. This generally means a new Plance and Route. RTL fixes wou
Q. Illustrate working of rubber dome keyboards? Rubber Dome: In rubber dome keyboards both positioning and contact are controlled by a puckered sheet of elastomer that is a s
Get guaranteed satisfaction & time on delivery in every assignment order you paid with us! We ensure premium quality solution document along with free turntin report!
whatsapp: +91-977-207-8620
Phone: +91-977-207-8620
Email: [email protected]
All rights reserved! Copyrights ©2019-2020 ExpertsMind IT Educational Pvt Ltd