Data Mining - Classification Mining

Quiz
•
Computers
•
University
•
Medium
TS ZAKARIA
Used 12+ times
FREE Resource
15 questions
Show all answers
1.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Dataset is divided into:
Training data
Evaluation data
Testing data
Answer
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the primary purpose of a confusion matrix in classification?
To visualize the distribution of featu
To evaluate the performance of a regression model
To evaluate the performance of a classification model
To determine the correlation between features
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In a confusion matrix, which cell represents the number of correctly predicted positive instances?
True Positives (TP)
False Positives (FP)
True Negatives (TN)
False Negatives (FN)
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
How is precision calculated from a confusion matrix?
TP / (TP + FN)
TP / (TP + FP)
(TP + TN) / (TP + FP + TN + FN)
TN / (TN + FP)
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Which of the following best describes the process of selecting splits in a decision tree?
Randomly choosing features to split
Using statistical tests to determine the best split
Splitting nodes based on criteria such as Gini impurity or information gain
Selecting splits based on the smallest number of instances
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
What is the purpose of pruning in decision trees?
To add more branches to the tree
To remove branches that have little importance and reduce overfitting
To increase the accuracy of the tree on training data
To increase the depth of the tree
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
If a model has a high number of false positives, what does this indicate?
The model is predicting many true negatives correctly.
The model is incorrectly predicting negative instances as positive.
The model has a high precision.
The model has a high recall.
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