Package ‘randomForest’ February 20‚ 2015 Title Breiman and Cutler ’s random forests for classification and regression Version 4.6-10 Date 2014-07-17 Depends R (>= 2.5.0)‚ stats Suggests RColorBrewer‚ MASS Author Fortran original by Leo Breiman and Adele Cutler‚ R port by Andy Liaw and Matthew Wiener. Description Classification and regression based on a forest of trees using random inputs. Maintainer Andy Liaw <andy_liaw@merck.com> License GPL (>= 2) URL http://stat-www.berkeley.edu/users/breiman/RandomForests
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populations and processed data. There are two different types of statistics‚ descriptive statistics and inferential statistics. Descriptive statistics utilizes numerical and graphical methods to look for patterns in a data set‚ to summarize the information revealed in a data set‚ and to present the information in a convenient form. Inferential statistics utilizes sample data to make
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organization to make better business decisions and in the sciences to verify or disprove existing models or theories. Data analytics is distinguished from data mining by the scope‚ purpose and focus of the analysis. Data miners sort through huge data sets using sophisticated software to identify undiscovered patterns and establish hidden relationships. Data analytics focuses
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Support recommendations by citing literature consistent with APA guidelines. Click the Assignment Files tab to submit your assignment. Ask your instructor for specific information regarding the analysis you are required to perform for your data set. Combine your Week Two Learning Team assignment and Week Three findings with Week Five findings and make a recommendation to the research problem. Use the statistical tables given in the appendices of the textbook and a statistical analysis application:
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domain and range of a function. Under what circumstances would the domain be something other than all real numbers? Provide an example. Domain: The domain of a function is the set of ‘input’ values; the function must be well defined for these input values. Range: The range of a function is the set of ‘output’ values that result after f is applied to every element of the domain. **The domain will NOT be all real numbers when the horizontal distance from the origin is zero; Example:
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TABLE OF CONTENT 1. Introduction 2. Block diagram 3. Component list 4. Technical description • MAX232 • Data sheet Atmega • L293d Motor Driver • Com-Port(Serial communication) • Relay • Resistors • Connecting Wires Gantry crane Introduction Both overhead travelling cranes and gantry cranes are types of crane which lift objects by a hoist which is fitted in a trolley and can move horizontally on a rail or pair of rails
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TELEVISION BOON OR BANE Television is a striking creation of science in the world of technology. Fifty years ago‚ almost no one had television set. Now there are more household with TV than ever. Everything has boons and banes so television also has many boons and banes. Television is a resource that can be used to educate and entertain people of different ages. Without any doubt‚ watching TV is a good way of getting informed. Watching news gives a good insight into what really is happening in
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128100+44295.9+16973.1=189369+16758.33=206127.33 Total amount 206127.33 2. B. Y={ a ‚ b ‚ c } X={ a ‚ c ‚ e ‚ g } The union of these sets is Y∪X={ a ‚ b ‚ c ‚ e ‚ g } Explanation: A and B is the collection of elements which are in A or in B or in both A and B. STEP 1 List all the elements from either set { a ‚ b ‚ c ‚ a ‚ c ‚ e ‚ g } STEP 2 Remove any duplicate elements to get Y∪X={ a ‚ b ‚ c ‚ e ‚ g } 3. A. b 4. A. Value of first die across
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1Problem Set 5 Complete all questions listed below. Clearly label your answers. 1. What impact will an unanticipated increase in the money supply have on the real interest rate‚ real output‚ and employment in the short run? How will expansionary monetary policy affect these factors in the long run? Explain. “In the short run‚ shifts in monetary policy exert an impact on real output and employment. A shift to a more restrictive policy will tend to reduce real output and employment‚ while
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APCOMS | DIGITAL IMAGE PROCESSING | ASSIGMNENT | | SIR SHAHID ISMAIL | 29-May-13 | | GROUP MEMBERS: USAID SHUAIB F-3313 AHMED TAUQIR F-3324 HAMMAD SHEIKH F-3325 GROUP MEMBERS: USAID SHUAIB F-3313 AHMED TAUQIR F-3324 HAMMAD SHEIKH F-3325 Representation Segmentation techniques yield raw data in the form of pixels along a boundary or pixels contained in a region. These data sometimes are used directly to obtain descriptors. Standard uses techniques to compute
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