Exam 6: Techniques for Predictive Modeling

Which element in an artificial neural network roughly corresponds to a dendrite in a human brain?

Generally speaking, support vector machines are less accurate a prediction method than other approaches such as decision trees and neural networks.

In the student retention case study, support vector machines used in prediction had proportionally more true positives than true negatives.

Describe the nine steps in the development process for an ANN application.

In the student retention case study, of the four data mining methods used, which was the most accurate?

In the formulation of the traffic accident study in the traffic case study, the five-class prediction problem was decomposed into a number of ________ models in order to obtain the granularity of information needed.

Neural networks have been described as "biologically inspired." What does this mean?

In the Coors case study, genetic algorithms were of little use in solving the flavor prediction problem.

A thorough analysis of an early neural network model called the ________, which used no hidden layer, in addition to a negative evaluation of the research potential by Minsky and Papert in 1969, led to a diminished interest in neural networks.

In the Coors case study, a neural network was used to more skillfully identify which beer flavors could be predicted.

In the student retention case study, which of the following variables was MOST important in determining whether a student dropped out of college?

Which element in an artificial neural network roughly corresponds to a synapse in a human brain?

In a typical network structure of an ANN consisting of three layers-input, intermediate, and output-the intermediate layer is called the ________ layer.

________ are of particular interest to modeling highly nonlinear, complex problems, systems, and processes and use hyperplanes to separate output classes in training data.

In the mining industry case study, the input to the neural network is a verbal description of a hanging rock on the mine wall.

Using the k-nearest neighbor machine learning algorithm for classification, larger values of k

The task undertaken by a neural network does not affect the architecture of the neural network; in other words, architectures are problem-independent.

Predictive modeling is perhaps the most commonly practiced branch in data mining. What are three of the most popular predictive modeling techniques?

Describe the k-nearest neighbor (kNN) data mining algorithm.

The most complex problems solved by neural networks require one or more hidden layers for increased accuracy.