Title:
gender-classification-experiments
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Description: This the height and weight data for gender classification experiment.
With the minimum error rate Bayesian classifier decisions , first by comparing the probability of the size and weight to height to determine a person represented by two-dimensional vector is male or female , and then one by one with known gender data comparison, the statistical error rate can be . Then change the prior probability , repeat the above process , the results of the changes observed data .
Bayesian classifier with the minimum risk decision-making , first find the minimum error rate using Bayesian classifier to get the conditional probability then artificially given decision table , according to the formula to calculate conditional risk and then one by one more conditional risk , to find ambassador to the conditions of minimum risk decision making (ie classification) . Finally, the results obtained with the classification by-side comparison of the raw data have been aware of SD error rate .
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File list (Check if you may need any files):
likelihood.m
problemset1_1019.pdf
risk_determine.m
risk_determinecopy.m
select.m
selectcopy.m
dataset2.txt
dataset3.txt
datasetf1.txt
datasetm1.txt
determine.m
determinecopy.m
error_determine.m
error_determinecopy.m
