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1 how does bagging contribute to a reduction in the prediction error2 what is a downside of using bagging3 state the
1 what can happen if we apply bagging to stable models why might this happen2 what is a bootstrap sample3 state the
1 explain what is meant by the following terms bias variance and noise2 what does it mean for a classification
1 describe two benefits of using an ensemble of classification models2 true or false bagging can reduce the variance of
1 evaluate the red wines model using the red wines from the test data set calculate the standard deviation of the
evaluate all base classifier models and all voting ensemble models with respect to overall error rate sensitivity
1 when scanning the normalized histogram of mean propensity values what should we look for in a candidate threshold
1 for an ensemble of m base classifiers state in words the formula for mean propensity2 propensity is a characteristic
1 voting ensemble models always perform better than any of their constituent classifiers2 what is the rationale for
1 describe what negative unanimity would be2 what is a detriment of using voting ensemble models3 is a voting ensemble
1 what is another term for simple model voting2 what is the difference between majority classification and plurality
develop three models using the training data seti an original cart model for predicting riskii a bagging model where
1 the boosting algorithm uses a weighted average of a series of classifiers on what do the weights in this weighted
the internet find an internet source that reports on a study and describes the data print out the description and
evaluate all base classifiers as well as the models defined by the candidate threshold values selected in the previous
for each record in the test data set calculate the propensity of that record toward a positive response for churn for
graphs in the news ii find a pie chart of categorical data from a newspaper a magazine or the interneta is the graph
graphs in the news find a bar chart of categorical data from a newspaper a magazine or the interneta is the graph
fitness are physically fit people less likely to die of cancer an article in the may 2002 issue of medicine and science
the last picture show heres another table showing information about 120 movies released in 2005 this table gives
plane crashes an investigation compiled information about recent nonmilitary plane crashes www planecrashinfocom the
modalities a survey of athletic trainers scott f nadler michael prybicien gerard a malanga and dan sicher complications
handguns in an effort to reduce the number of gunrelated homicides some cities have run buyback programs in which the
movies by genre and rating heres a table that classifies movies released in 2005 by genre and mpaa ratinga the table
causes of death 2006 the centers for disease control and prevention wwwcdcgov lists causes of death in the united