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Answers by john ganales
0
votes
Which of the following can help to reduce overfitting in an SVM classifier?
answered
Jan 12, 2023
in
Machine Learning
svm-classifier
machine-learning
0
votes
How can SVM be classified?
answered
Jan 12, 2023
in
Machine Learning
svm-classification
0
votes
Which of the following are real world applications of the SVM?
answered
Jan 12, 2023
in
Machine Learning
svm-applications
machine-learning
0
votes
How does the bias-variance decomposition of a ridge regression estimator compare with that of ordinary least squares regression?
answered
Jan 12, 2023
in
Machine Learning
bias-variance
machine-learning
0
votes
The kernel trick
answered
Jan 12, 2023
in
Machine Learning
kernel-trick
machine-learning
0
votes
The cost parameter in the SVM means:
answered
Jan 12, 2023
in
Machine Learning
svm
machine-learning
0
votes
Which of the following evaluation metrics can not be applied in case of logistic regression output to compare with target?
answered
Jan 12, 2023
in
Machine Learning
machine-leaning
logistic-regression
0
votes
The firing rate of a neuron
answered
Jan 12, 2023
in
Machine Learning
machine-learning
0
votes
Which of the following can only be used when training data are linearlyseparable?
answered
Jan 12, 2023
in
Machine Learning
linearlyseparable
machine-learning
0
votes
What is the purpose of the Kernel Trick?
answered
Jan 12, 2023
in
Machine Learning
kernel-trick
machine-leaning
+1
vote
A perceptron adds up all the weighted inputs it receives, and if it exceeds a certain value, it outputs a 1, otherwise it just outputs a 0.
answered
Jan 12, 2023
in
Machine Learning
machine-learning
0
votes
What are support vectors?
answered
Jan 12, 2023
in
Machine Learning
support-vectors
machine-learning
0
votes
The effectiveness of an SVM depends upon:
answered
Jan 12, 2023
in
Machine Learning
svm
0
votes
What do you mean by a hard margin?
answered
Jan 12, 2023
in
Machine Learning
hard-margin
machine-learning
0
votes
Impact of high variance on the training set ?
answered
Jan 12, 2023
in
Machine Learning
training-set
0
votes
Which of the following can only be used when training data are linearlyseparable?
answered
Jan 12, 2023
in
Machine Learning
linearlyseparable
0
votes
In multiclass classification number of classes must be
answered
Jan 12, 2023
in
Machine Learning
multiclass-classification
0
votes
What do you understand by SSTabl in Cassandra?
answered
Jan 1, 2023
in
Cassandra
sstabl
0
votes
What do you understand by Commit log in Cassandra?
answered
Jan 1, 2023
in
Cassandra
cassandra-commit-log
0
votes
What do you understand by Node in Cassandra?
answered
Jan 1, 2023
in
Cassandra
cassandra-node
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