Name: Nidhi Sonpal
Course: Data Mining
Student ID: U01335012
Homework #5
Part 1 - Manual Computation
Apply the Nearest Neighbor learning algorithm to classify the three
to-be-predicted plants (i.e., Plants #16-18), to determine what kind
of plant it is.
T
Name: Nidhi Sonpal
Course: Data Mining
Student ID: U01335012
Homework #1
Problem 1. (20 Points; 2.5 Points each) Discuss whether or not each of the following
activities is a data mining task. If the answer is yes, then also specify which one of the
follow
Name: Nidhi Sonpal
Course: Data Mining
Student ID: U01335012
Homework #2
Question 1 Use the following learning schemes to analyze the zoo data (in zoo.arff):
Decision stump - weka.classifiers.DecisionStump
OneR - weka.classifiers.OneR
Decision table -
Name: Nidhi Sonpal
Course: Data Mining
Student ID: U01335012
Homework #4
Classification
The file vote.arff contains the voting records of members of the U.S. House of Representatives.
Each example consists of the attributes indicating the yes/no/absent vo
Name: Nidhi Sonpal
Course: Data Mining
Student ID: U01335012
Homework #3
Question 1: For the Confusion Matrix shown below, compute the following
values:
Precision
Recall
F-measure
Sensitivity
Specificity
Answer:
Confusio
n Matrix
Actual
Class
Predicted Cl
Data Mining
Homework 1
Mayur Nayak (UID: UO1177266)
Problem 1: Discuss whether or not each of the following activities is a data
mining task. If the answer is yes, then also specify which one of the
following categories it will belong to:
(i) classificati
Data Mining
Homework 2
Mayur Nayak (UID: UO1177266)
Problem 1:- Use the following learning schemes to analyze the zoo data
(in zoo.arff):
-Decision stump - weka.classifiers.DecisionStump
-OneR - weka.classifiers.OneR
-Decision table - weka.classifiers.Dec
Data Mining
Homework 3
Mayur Nayak (UID: UO1177266)
Evaluation Measures
For the Confusion Matrix shown below, compute the following values:
1) Precision is calculated by the equation TP / (TP+FP):Precision (Positive) = 98 / (98+37) = 0.725
Precision (Nega
Data Mining
Homework 4
Mayur Nayak (UID: UO1177266)
Classification
The file vote.arff contains the voting records of members of the U.S. House of
Representatives. Each example consists of the attributes indicating the
yes/no/absent vote for each bill cons
Data Mining
Homework 5
Mayur Nayak (UID: UO1177266)
Part 1 - Manual Computation
Apply the Nearest Neighbor learning algorithm to classify the three to-be-predicted
plants (i.e., Plants #16-18), to determine what kind of plant it is.
Try the three differen