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Recent questions tagged cross-validation
1
1 vote
2
2 answers
665
665 views
GATE DA 2026 | Question: 2
Consider that you are training a classifier for a $10$ -class classification problem. Each input is represented as a $512$ -dimensional vector. There are $1000$ samples, ...
gatecse
665
views
asked
Feb 23
Machine Learning
gateda-2026
machine-learning
cross-validation
one-mark
+
–
1
1 vote
1
1 answer
320
320 views
found through an assignment
Given computational budget of 100 model training runs, compare: (A) 10-fold CV repeated 10 times vs (B) 20-fold CV repeated 5 times. Which has better bias-variance tradeo...
Mr.Vengance
320
views
asked
Nov 7, 2025
Machine Learning
cross-validation
machine-learning
+
–
0
0 votes
1
1 answer
382
382 views
MIT 6.036
Consider a dataset with 1000 samples. You perform 10-fold cross-validation with a neural network. If training takes 2 minutes per fold, and the model achieves 95% accurac...
Mr.Vengance
382
views
asked
Nov 6, 2025
Machine Learning
cross-validation
machine-learning
+
–
0
0 votes
0
0 answers
271
271 views
Go Classes | DA Course | Machine Learning
Consider a scenario where we use leave-one-out cross-validation (LOOCV) with Support Vector Machines (SVM) for binary classification. Given a dataset $\mathcal{D}=$ $\lef...
GO Classes
271
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
support-vector-machine
+
–
1
1 vote
2
2 answers
517
517 views
Go Classes | DA Course | Machine Learning
Given the 2D dataset, which of the following is true regarding the performance of 1-nearest neighbor (1-NN) and Support Vector Machines (SVM) in terms of leave-one-out cr...
GO Classes
517
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
support-vector-machine
+
–
0
0 votes
0
0 answers
154
154 views
Go Classes | DA Course | Machine Learning
Given the 2D dataset, which of the following is true regarding the performance of 1-nearest neighbor (1-NN) and Support Vector Machines (SVM) in terms of leave-one-out cr...
GO Classes
154
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
k-nearest-neighbour
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–
0
0 votes
1
1 answer
206
206 views
Go Classes | DA Course | Machine Learning
$\text { Suppose you have this data set with one real-valued input and one real-valued output. }$I.What is the mean squared leave one out cross validation error of using ...
GO Classes
206
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
1
1 answer
181
181 views
Go Classes | DA Course | Machine Learning
Mark all the statements that are true, about cross-validation.A.Increasing k in k -fold cross validation decreases the bias of the model.B.We use cross validation because...
GO Classes
181
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
multiple-selects
+
–
0
0 votes
0
0 answers
127
127 views
Go Classes | DA Course | Machine Learning
Consider the following dataset with one real-valued input $x$ and one binary output $y$. We are going to use $k$-NN with unweighted Euclidean distance to predict $y$ for ...
GO Classes
127
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
k-nearest-neighbour
+
–
1
1 vote
1
1 answer
202
202 views
Go Classes | DA Course | Machine Learning
Which of the following statement is correct $?$$(I)$ The test set is divided into $k$ folds. For each fold of the test set, we use the entire training set to train the mo...
GO Classes
202
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
0
0 answers
130
130 views
Go Classes | DA Course | Machine Learning
Suppose we have a training dataset of 90 points, and a test set of 30 points, and want to know which $\lambda$ value is best for a ridge regression model. Our candidate h...
GO Classes
130
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
0
0 answers
116
116 views
Go Classes | DA Course | Machine Learning
Suppose we have a training dataset of 90 points, and a test set of 30 points, and want to know which $\lambda$ value is best for a ridge regression model. Our candidate h...
GO Classes
116
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
1
1 answer
137
137 views
Go Classes | DA Course | Machine Learning
Suppose you are using a Majority Classifier on the following training set containing 10 examples where each example has one real-valued feature, $x$, and a binary class l...
GO Classes
137
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
0
0 answers
124
124 views
Go Classes | DA Course | Machine Learning
Suppose you are using a Majority Classifier on the following training set containing 10 examples where each example has one real-valued feature, $x$, and a binary class l...
GO Classes
124
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
0
0 answers
115
115 views
Go Classes | DA Course | Machine Learning
Under which of the following conditions is $\boldsymbol{k}$-fold cross-validation the same as leave-one-out cross-validation ?A. The training set and test set have the sa...
GO Classes
115
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
0
0 answers
111
111 views
Go Classes | DA Course | Machine Learning
.Suppose you have picked the parameter $\theta$ for a model using 10 -fold cross validation. The best way to pick a final model to use and estimate its error is to A .pic...
GO Classes
111
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
0
0 answers
154
154 views
Go Classes | DA Course | Machine Learning
Which of the following statement(s) is(are) true for k-NN ?A. k represents the number of classes.B. The final outcome of the algorithm may change with the distance measur...
GO Classes
154
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
multiple-selects
k-nearest-neighbour
+
–
1
1 vote
1
1 answer
135
135 views
Go Classes | DA Course | Machine Learning
You are training a soft-margin SVM on a binary classification problem. You find that your model's training accuracy is very high, while your validation accuracy is very l...
GO Classes
135
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
multiple-selects
+
–
0
0 votes
0
0 answers
118
118 views
Go Classes | DA Course | Machine Learning
Why is it important to use a different test set to evaluate the final performance of the model, rather than the validation set used during model selection?A. The model ma...
GO Classes
118
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
0
0 answers
98
98 views
Go Classes | DA Course | Machine Learning
Aman and Ed built a model on their data with two regularization hyperparameters $\lambda$ and $\gamma$. They have 4 good candidate values for $\lambda$ and 3 possible val...
GO Classes
98
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
0
0 answers
177
177 views
Go Classes | DA Course | Machine Learning
Consider a nearest neighbor classifier that chooses the label for a test point to be the label of its nearest neighboring training example. What is its leave-oneout cross...
GO Classes
177
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
numerical-answers
cross-validation
k-nearest-neighbour
+
–
0
0 votes
0
0 answers
108
108 views
Go Classes | DA Course | Machine Learning
Suppose we have a design matrix $\mathbb{X}$ comprising of $n$ observations, $d$ features, and an additional intercept term. We decide to use $\mathbb{X}$ to create, tune...
GO Classes
108
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
0
0 answers
102
102 views
Go Classes | DA Course | Machine Learning
Random forest is created from a number of decision trees, with each decision tree created from a bootstrapped version of the original training set. One hyperparameter of ...
GO Classes
102
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
0
0 answers
94
94 views
Go Classes | DA Course | Machine Learning
Leave-one-out cross-validation (LOOCV) is a special case of k -fold cross-validation where:The training set contains all but one sample, and the remaining sample is used ...
GO Classes
94
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
0
0 answers
118
118 views
Go Classes | DA Course | Machine Learning
Assume we have a data matrix $X$. Which of the following is a true statement when comparing leave-one-out cross validation (LOOCV) error with the true error? LOOCV error ...
GO Classes
118
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
–
0
0 votes
0
0 answers
121
121 views
Go Classes | DA Course | Machine Learning
$k$-fold cross-validation with $k=100$ is computationally more expensive (slower) than "leave-one-out" cross validation. (Assume that there are enough data points to divi...
GO Classes
121
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
numerical-answers
cross-validation
+
–
1
1 vote
0
0 answers
177
177 views
Go Classes | DA Course | Machine Learning
Suppose we use leave-one-out cross validation meaning we use 7 -fold cross validation with a split of 6 to 1 between training set and validating set. Compute the average ...
GO Classes
177
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
support-vector-machine
numerical-answers
+
–
0
0 votes
0
0 answers
139
139 views
Go Classes | DA Course | Machine Learning
Suppose we have $m$ data points in our training set and $n$ data points in our test set. In leave-one-out cross validation, we only use one data point for validation whil...
GO Classes
139
views
asked
Mar 21, 2025
Machine Learning
goclasses
goclasses-da-course
machine-learning
cross-validation
+
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