writing homework on Construction op analysis class (R13. Write a 250 word paper answering; Assignment R13 Reading Articles Questions and Answers MULTIPLE CHOICE According to the Article ‘Regression-Based Prediction Methods for Adjusting Construction Cost Estimates by Project Location’, the choice of the relevant attributes for WEKA (Waikato Environment for Knowledge Analysis) Global Regression Analysis is based on.
Need help with my writing homework on Construction op analysis class (R13. Write a 250 word paper answering; Assignment R13 Reading Articles Questions and Answers MULTIPLE CHOICE According to the Article ‘Regression-Based Prediction Methods for Adjusting Construction Cost Estimates by Project Location’, the choice of the relevant attributes for WEKA (Waikato Environment for Knowledge Analysis) Global Regression Analysis is based on.
a) Conditional Nearest Neighbor Method (CNN)
b) Spatial non-stationary in regression model
c) M5 model tree-based selection method
d) Inverse Distance Weighted Method (IDW).
Answer:
c). M5 model tree-based selection method
2. MULTIPLE CHOICE
According to the Article ‘Role of Simulation in Construction Engineering and Management’, the author’s own experience shows that simulation is most effective in the following situations EXCEPT.
a) When there is no anticipation and evidence of repetition.
b) When problems are characterized by uncertainty
c) When problems are technically or methodically complex.
d) When flexibility in modeling logic and knowledge is required to formulate a model.
Answer:
a). When there is no anticipation and evidence of repetition.
3. FILL BLANKS
In reference to the article ‘Data Mining for Fun and Profit’, Predictive models are important in ___________where often one is concerned with the possibility of manipulating practices so as to _____________. In general, of the customer base, _____________ of them followed the transaction. However, we were able to identify a subgroup of _______ of the customer base that had _________chance of exhibiting the transaction pattern.
ANSWER:
In reference to the article ‘Data Mining for Fun and Profit’, Predictive models are important in commercial applications where often one is concerned with the possibility of manipulating practices so as to increase sales. In general, of the customer base, 12.5% of them followed the transaction. However, we were able to identify a subgroup of 10% of the customer base that had 43% chance of exhibiting the transaction pattern.
Works Cited
AbouRizk, Simaan. “Role of Simulation in Construction Engineering and Management.” .Journal of construction engineering and management .136.10 .(2010): 1140-1153. Print.
Hand, David .J., Gordon Blunt, Mark .G. Kelly, and Niall .M. Adams. “Data Mining for Fun and Profit.” .Statistical Science .15.2 .(2000): 111-131. Print.
Migliaccio, Giovanni .C., Michele Guindani, Su Zhang, and Sudipta Ghorai. “Regression-based Prediction Methods for Adjusting Construction cost Estimates by Project Location.” .3rd International/9th Construction Specialty Conference .(2011): Print.