The answer is D. College Enrollment. The GI Bill was a public law passed in 1944 to help veterans returning from the Second World War with money for education and other benefits like loans for homes and businesses. The number of veterans enrolling in colleges like the Oklahoma City University as well as other technical schools rose to the roof. Thousands of people were benefited from this and although it helped battling unemployment, the numbers of veterans that went to college were the most representative thing if this bill.
.The simple split partitions the data into two mutually exclusive subsets called a training set and a test set . It is common to designate two-thirds of the data as the training set and the remaining one-third as the test set.
How do you measure accuracy of classification models?
There are many ways for measuring classification performance. Accuracy, confusion matrix, log-loss, and AUC-ROC are some of the most popular metrics. Precision-recall is a widely used metrics for classification problems
Classification accuracy:
is a metric that summarizes the performance of a classification model as the number of correct predictions divided by the total number of predictions. It is easy to calculate and intuitive to understand, making it the most common metric used for evaluating classifier models.
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Geography has an influence on the:
- natural resources, which can determine richness of a nation
- the contacts with other culture that it has.
For example, island nations can be more isolationist- then can defend themselves better and they have a limited contact with other nations.