Determine the attribute that influences the outcome most
how to find the most important variable in r
how to determine significant variables in regression
how to identify the most important predictor variables in logistic regression models
how to tell if a variable is significant in regression
variable importance in regression models in r
variable contribution in linear regression
significant predictor meaning
I have a dataset in .csv format as shown:
NRC_CLASS,L1_MARKS_FINAL,L2_MARKS_FINAL,L3_MARKS_FINAL,S1_MARKS_FINAL,S2_MARKS_FINAL,S3_MARKS_FINAL, FAIL,7,12,12,24,4,30, PASS,49,36,46,51,31,56, FAIL,59,35,42,18,18,45, PASS,61,30,51,33,30,52, PASS,68,30,35,53,45,54, 2,82,77,75,32,36,56, FAIL,18,35,35,32,21,35, 2,86,56,46,44,37,60, 1,94,45,62,70,50,59,
Where the first column talks about the over all grade:
FAIL - Fail PASS - Pass class 1 - First class 2 - Second class D - Distinction
This is followed by marks of each student in 6 subjects.
Is there anyway i can find out performance in which subject makes a difference in overall outcome?
I am using Weka and had used J48 to build a tree.
The summary of J48 classifier is:
=== Summary === Correctly Classified Instances 30503 92.5371 % Incorrectly Classified Instances 2460 7.4629 % Kappa statistic 0.902 Mean absolute error 0.0332 Root mean squared error 0.1667 Relative absolute error 10.8867 % Root relative squared error 42.7055 % Total Number of Instances 32963
Also I discretized the marks data into 10 bins with useEqualFrequency set to true. The summary of J48 now is:
=== Summary === Correctly Classified Instances 28457 86.3301 % Incorrectly Classified Instances 4506 13.6699 % Kappa statistic 0.8205 Mean absolute error 0.0742 Root mean squared error 0.2085 Relative absolute error 24.3328 % Root relative squared error 53.4264 % Total Number of Instances 32963
First of all, you may need to quantify a value for each of the NRC_CLASS Values (or even better, use the actual grade out of 100) to improve the quality of attribute testing.
From there, you could potentially use Attribute Selection (found in the Select Attribute tab of Weka Explorer) to find the attributes that have the greatest influence on the overall grade. Perhaps the CorrelationAttributeEval as the Attribute Evaluator coupled with the Ranker search method could assist in identifying the attributes of greatest importance to the least.
Hope this Helps!
How to Identify the Most Important Predictor Variables in Regression , For one thing, how you define “most important” often depends on your For another, how you collect and measure your sample data can influence the The example output below shows a regression model that has three States that the brand that rates the highest on the sum of the consumer's judgments of the relevant evaluative criteria will be chosen. Conjoint Analysis. The most popular indirect measurement approach, the consumer is presented with a set of products or product descriptions in which the evaluative criteria vary.
It seems you want to determine the relative relevance of each attribute. In this case, you need to use a weight learning algorithm. Weka has a few, I just used Relief. Go to the tab Select attributes, in Attribute Evaluator, select ReliefF-AttributeEval, it will select the Select the attribute that has the value for the outcome class. Search Method for you. Click Start. The results will include the ranked attributes, the highest ranked is the most relevant.
PROCEEDINGS OF THE XIV INTERNATIONAL SYMPOSIUM SYMORG 2014: NEW , (2012) used conjoint analysis to identify heterogeneity of the students' dimensions based on participant ranking results, they used conjoint analysis. most relevant features or attributes (both quantitative and qualitative); hence, of relevant product/service attributes that are believed to influence a customer's preference. The goal of this study was to expand. the understanding of not only the therapeutic alliance, but also how other contributing. factors such as empathy, experience of the therapist, therapeutic modality, client’s level. of motivation, personality, and symptomology increase positive therapeutic outcomes.
In a test data set T with 25 attributes, run i=1:25 rounds where you replace the values of the i-th attribute with random values (=noise). Compare the test performance of each of the 25 rounds with the case where no attribute was replaced, and identify the round in which the performance dropped the most.
If the worst performance decrease occurred e.g. in round 13, this indicates that attribute 13 is the most important one.
Electoral Incentives in Congress, election outcomes in marginal races, which should be the contests that were most likely to be influenced by presidential or gubernatorial coattails. our findings suggest that candidate-specific attributes influenced election outcomes in Overall, we find support for our general expectation that both the quality of a party's ANS: outcome An outcome is the result or results obtained from the efforts to accomplish a goal. The term outcomes has also been defined as the conditions in patients and others that health care delivery aims to achieve. _____ involves accounting for patient factors, the intrinsic risks that a patient brings to
Youth Ministry from the Outside In: How Relationships and Stories , whatsoever that children could translate preverbal (ie nonverbal) attributes of asking questions and theologically reflecting on the outcome Most theological by his/her social influences) will largely determine the outcome Chapter 5: Life Music: influences consumer's moods which influence a variety of consumption behaviors. Crowding: generally produces negative outcomes for both the retail outlet and the consumer. As more people enter a store or as more of the space of the store is filed with merchandise, an increasing percentage of the shoppers will experience a feeling of
Marketing and Smart Technologies: Proceedings of ICMarkTech 2019, Results. This section proposes and analyzes in depth the determining Key factors Leaders' personal attributes influence the choices and the decisions they make as an opportunity to renew the organization in order to be more successful. b) An individual's personality is more important than situational factors in determining behavior. c) Most people remain true to their principles, even when put into psychologically compelling situations. d) People do not easily become deindividuated. e) One's spiritual beliefs largely determine behavior.
Social Psychology and Influences on Behavior, Social psychology is the study of how people affect one another's thoughts, feelings, and behaviors are very much influenced by social situations. In contrast, dispositionism holds that our behavior is determined by internal factors (Heider, 1958). An internal factor is an attribute of a person and includes personality traits Rank each court based on the number of cases it hears, from the court that hears the most cases to the court that hears the fewest. state trial courts, federal district courts, state courts of appeal. state supreme courts, federal courts of appeal. U.S. supreme court. defendant. The party accused of breaking the law.
- Hey, thanks for the reply. Will try it and post the results.. :)