The scoring tag has no wiki summary.
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Creating an index that measures how accurate economsits are at predicting the US economy
I am interested in building an index that tracks how accurate economists are at predicting several US economic statistics:
US Jobless claims number: comes out weekly, ranges from 100k to 400k, ...
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13 views
Assigning weights in crowdsourcing or voting system
In Multi-weighted voting system, how is each individual worker is assigned with a weight? What is the concept behind it?
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How to create a single rank / score number from a multiple set of variables that define the quality of something
I have several variables that describe the quality of a trading relationship between a client and financial institutions (FIs) the client deals with. The variables are populated with observed data ...
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1answer
50 views
Good books/papers on credit scoring
I'm looking for recomendations of books on credit scoring. I'm interested in all aspects of this problem, but mostly in:
1) Good features. How to build them? Which have been proved to be good?
2) ...
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1answer
56 views
Validation of a scale for a different population (CFA)
I'm currently adapting a coping questionnaire which has been widely used in sports to be used with a different population (musicians), so I need to address its reliability and validity with this new ...
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2answers
47 views
How can I estimate a “confidence” in a score / rating
I'm sure there's a more technical term for what I'm looking for, but I don't know what it is (it's not confidence intervals, I think)
I'm trying to make a system where people get ratings (from 1 to 5 ...
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1answer
125 views
How can I devise a scoring system for a competition that is more fair than straight percentages?
I am trying to come up with a method for deciding the winner from among eight student groups competing for a prize.
The raw data and corresponding percentages measure participation per group in a ...
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91 views
Calculating Highest Score on a Likert Scale
I hope my question is a simple one. I am using a Likert scale that measures constructs of anxiety and avoidance to determine attachment style. High scores on either construct indicate the a person is ...
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2answers
99 views
Comparing player percentages effectiveness with different sample sizes
I have a spreadsheet of player data. One of the categories of player data is pass percentage. Pass percentage is calculated as follows:
AccuratePasses/TotalPasses
...
2
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1answer
81 views
Determining conserved features using a Bayesian approach
I would like to perform some sort of binary classification, and my data set consists of 100 examples (for each class), which are vectors with 2500 elements. Ideally, I would like to determine which ...
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193 views
What helps (justification) to decide cut score/cutoff points for 5-point likert scale?
I am wondering what are the factors involved in deciding the cutoff value / cut score for 5-point likert scale from:
...
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1answer
169 views
Confidence interval scoring
Question migrated form http://stackoverflow.com/questions/10019576/confidence-interval-scoring-with-programming-languages#comment12812602_10019576
I used a CI scoring algorithm from ...
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2answers
117 views
Detecting patterns of cheating and collusion in competition
I'm looking for ideas on how to discover cheating in sports that have judges awarding points. I can't name the sport since I participate in it at the moment. It's been known for a long time that this ...
2
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1answer
157 views
Scoring new observations after cross-validation
I have some doubts about cross validation and scoring a new set of observations.
Let's say I want to predict $y=b_0 + b_1x_1$ and have built a 10-fold cross-validation data set, run a regression ...
1
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1answer
150 views
What is the rationale for using scoring methods after logistic regression?
I generally come across scoring in logistic modeling (also other methods like discriminant analysis, etc.).
I want to know what is the use of scoring of individuals after running a logistic ...
2
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1answer
55 views
Re-estimate classification model with biased data
Let's say that I score (with, for example, a logit model) a group of 10,000 customers according to their potential of buying a product, and that I decide to contact the top 1,000 with a special offer. ...
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140 views
How to combine unbound variables with very different frequency distributions?
I want to combine three unbound variables. Each variable is the score provided by three different algorithms. Each algorithm predicts the likelihood (score) that a specific interaction between two ...
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83 views
How to combine three different scores
I have a population of 300 cases. It's split in three sub-populations 50, 50 and 200 in size.
I have developed three (different) models resulting in a score variable which rank orders each of the ...
