After examining 20 cases of ownership, how many owners have been
correctly identified, based on the below lift chart?
Based on the table below, what is the probablity of classifying a small firm with
For the given neural network, if the cutoff value was 0.56, the output of this
network would be classified as 1?
What is the best value of k to select for the output below?
For categorical values, we need to convert them to numeric values.
We might treat being in class A as 1, and not in class A as 0.
Therefore, two items in the same class have distance 0 for that
attribute, and two items in different classes have distance
Principal Component Analysis
PCA is used to reduce the dimensionality of data.
Normalized data points are mapped onto a multi-dimensional graph.
Dimensions with the highest variances account for the greatest
effects on the data set.
Dimensions with the l
Fitness functions are used to decide how good a solution is. The
fitness function used depends on the application: e.g. for model
parameter selection we could use the accuracy of profitability of the
resultant model as our fitness function.
Steps in GAs:
MBR and K Nearest Neighbor are lazy approaches: they do not
construct a model in advance, but rather wait till they have to classify
a new example.
Contrast this with decision trees which construct meaningful
symbolic descriptions of classes from the tra
Memory-Based Reasoning (MBR) results are based on analogous
situations in the past
Collaborative Filtering results use preferences in addition to
analogous situations from the past
Decide how to represent cases: attribute selecti
Adaptation techniques include:
Predefined formulas or processes for adapting the solution
Interpolation: Assuming, you had two old bridges
Bridge 1 = 2 lanes, and cost $1 million
Bridge 2 = 4 lanes, and cost $2 million
Now, assuming you wanted a new 3 la
We can look up similar cases using a distance metric.
5 bins are made depending on the count of records and the values of
x3 are kept in them.
For all the values of x3 lying in one bin, the output variable,
Binned_x3 gets a value. (This value is the same
How many hidden layers are shown in the neural network below?
Recommender systems, like the system Amazon.com uses, are typically
based on which data mining technique