<span>According to erikson, if the psychological conflict of adolescence is resolved negatively, young person experiences initiative versus guilt
people in adolescence age tend to be really curious and started to questions everything that threw out at them (including ethics and norms) which often caused conflict within their mind.
When these conflicts resolved negatively, those who succumb will overwhelmed by guilt and those who don't will rebel</span>
Explanation is in the file
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.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.
Learn more about accuracy of classification model:
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An advertising message usually focuses on the quality of the product that are important to a prospective buyer in making trial and adoptive decisions.
<u>Explanation:</u>
When a person opt to buy a product he generally look after the quality of the product in comparison with the product which he presently using. So, the first target of a advertising agency is to make their product popular by highlighting its quality.
They usually focus on the benefits of using that product instead of using other product of similar kind. For e.g. a company is advertising for its newly launched body soap. It will highlight its quality over others body soap then will go with price.