Is it possible to improve the performance of KNN using an
AdaBoost ensemble classifier that uses...
Is it possible to improve the performance of KNN using an
AdaBoost ensemble classifier that uses KNN as the base classifier?
Give the detailed (qualitative) reasons on your assertions.
Python 3
Rewrite KNN sample code using KNeighborsClassifier .
● Repeat KNN Step 1 – 5, for at least five times and calculate
average accuracy to be your result.
● If you use the latest version of scikit -learn, you need to
program with Python >= 3.5.
● Use the same dataset: “ iris.data ”
● Split your data: 67% for training and 33% for testing
● Draw a line chart: Use a “for loop” to change k from 1...
There are times management uses techniques to their discretion
to improve a company’s performance. When ethics are low, they may
use a misleading metric as a surrogate for revenue, earnings, or
cash flow. Which misleading metric did Global Crossing use, and how
could investors have protected themselves?
This is a maching learning question.
Using the Kaggle diamonds dataset, build a
KNN based estimator for estimating the price of a
diamond and propose an appropriate K value.
Please use python and google
colab format. Thank you!
Spam Filtering using Naïve Bayesian classifier
In Spam filtering problem the examples or observations are the
emails, and the features are the words in the email. When using
words as features we suppose that some words are more likely to
appear in spam than in non-spam, which is the basic premise
underlying most spam filters.
The attached folder contains three files:
Spmabase.Documentation: has all the information about the
dataset
Source
Number of examples (instances or observations)
Number of attributes
Attributes...
Using R
Question 3. kNN Classification
3.1 Read in iris dataset using “data(iris)”. Describe the features
in the data using summary
3.2 Randomize the iris data set, mix it up and normalize it
3.3 split data into training & testing (70/30 split)
3.4 Train model in data and use crosstable function to evaluate the
results
3.5 Rerun your code for K=10 and 100. Compare results and
explain
Using the below information - Discuss the difference
between Developmental and Administrative uses of performance
appraisals.
Developmental versus Administrative Uses of Performance
Appraisal
Another key debate in performance appraisal is how to balance
the foundational performance appraisal purposes of employee
development and administrative decision-making (Bernardin &
Beatty, 1984). Some researchers argue that appraisals are more
accurate and useful for improving performance if they are
diagnostic and not linked to pay or other administrative outcomes.
Opponents argue that employees will not...