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Answers by sharadyadav1986
0
votes
Imputing is a strategy to handle ____________
answered
Jan 6, 2022
in
Structured Data Classification
imputing-strategy
0
votes
Let's assume you are solving a classification problem with a highly imbalanced class.
answered
Jan 6, 2022
in
Structured Data Classification
taining-data
0
votes
Select the pre-processing technique(s) from the following.
answered
Jan 6, 2022
in
Structured Data Classification
pre-processing-techniques
0
votes
Model Tuning helps to increase the accuracy.
answered
Jan 6, 2022
in
Structured Data Classification
model-tuning
0
votes
Choose the correct sequence for the classifier building from the following.
answered
Jan 6, 2022
in
Structured Data Classification
classifier-building
0
votes
Cross-validation causes over-fitting.
answered
Jan 6, 2022
in
Structured Data Classification
cross-validation
0
votes
The commonly used package for machine learning in Python is _________
answered
Jan 6, 2022
in
Structured Data Classification
machine-learning
0
votes
Choose the correct sequence from the following.
answered
Jan 6, 2022
in
Structured Data Classification
classifier-output
0
votes
How many classes will the following command return?
answered
Jan 6, 2022
in
Structured Data Classification
command-output
0
votes
Email spam detection is an example of ________
answered
Jan 6, 2022
in
Structured Data Classification
email-spam-detection
0
votes
Which preprocessing technique is used to make the data Gaussian with zero mean and unit variance?
answered
Jan 6, 2022
in
Structured Data Classification
preprocessing-technique
0
votes
The classification where each data is mapped to more than one class is called _________
answered
Jan 6, 2022
in
Structured Data Classification
data-mapping
0
votes
The fit(X, y) is used to _________
answered
Jan 6, 2022
in
Structured Data Classification
data-range
0
votes
Which classifier converges easily with less training data?
answered
Jan 5, 2022
in
Structured Data Classification
training-data
0
votes
Is there a class imbalance problem in the given data set?
answered
Jan 5, 2022
in
Structured Data Classification
data-set-class
0
votes
Identify the command used to view the dataset SIZE, and what is the value returned?
answered
Jan 5, 2022
in
Structured Data Classification
dataset-size
0
votes
Which type of cross-validation is used for an imbalanced dataset?
answered
Jan 5, 2022
in
Structured Data Classification
imbalanced-dataset
0
votes
Clustering is an example of ___________
answered
Jan 5, 2022
in
Structured Data Classification
data-clustering
0
votes
True Negative is when the predicted instance and the actual instance are positive.
answered
Jan 5, 2022
in
Structured Data Classification
predicted-instance
true-negative-prediction
0
votes
Identify the structured data from the following.
answered
Jan 5, 2022
in
Structured Data Classification
stuctured-data
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