Recent questions tagged machine-learning

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$\text { Which cross validation technique is being used here ? }$$LOOCV$$\text{1 fold CV}$$\text{2 fold CV}$$\text{3 fold CV}$
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$\text{Assuming 4-fold cross-validation and data D of size 100, what is the size of D.train ?}$ 
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$\text { What is the best value of } \alpha \text { ? }$
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$\text { How many times we need to train the model for } \lambda=0.1 \text { ? }$
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Given a dataset $\mathrm{D}=\left\{\left(x_i, y_i\right)\right\}, x_i \in R^k, y_i \in=\{-1,+1\}, 1 \leq i \leq N$.Which of the following is the Hinge Loss of the example...
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Suppose we have a soft-margin SVM for which $\mathbf{w}=(-6,3)$ and $b=5$. Consider the example $(\mathbf{x}=(2,1), y=-1)$.$\text { $(I)$ How does the SVM classify } \mat...
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Given $y_i\left(\left\langle\mathbf{w} \cdot \mathbf{x}_i\right\rangle+b\right)>1$ and $\xi_i=0$ in SVM, which of the following statements is correct ? These data points ...
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What is the value of $\alpha_n$ for the circled data point ? $\alpha_n=0$$\alpha_n=C$$0<\alpha_n<C$Can be anything i.e. $0 \leq \alpha_n \leq C$
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What is the value of $\alpha_n$ for the circled data point?$\alpha_n=0$$\alpha_n=C$$0<\alpha_n<C$$\alpha_n>C$
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What is the value of $\alpha_n$ for the circled data point which is misclassified ? $\alpha_n=0$$\alpha_n=C$$0<\alpha_n<C$$\alpha_n>C$
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With a non-linearly-separable dataset that contains some extra "noise" data points, using an SVM with slack variables to create a soft margin classifier, and a small valu...
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$\text { Consider applying a soft margin SVM to the 1-dimensional data shown below. }$ $(I)\quad C=0: \text { All points will be support vectors. }$$(II)\quad C=\infty: X...
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1. The example definitely IS a support vector.2. The example definitely IS NOT a support vector.3.We cannot determine from the complementary slackness conditions whether ...
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Let $\xi_{x_1, x_2}$ denote the slack of the point located at $z=\left(x_1, x_2\right)$.$(I)$ $\xi_{(2,4)}\text{___}\xi_{(2,0)}$$(II)$ $\xi_{(-1,1)}\text{___}\xi_{(-1,-2)...
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Which of the following changes would commonly cause an SVM's margin $\frac{1}{l|w||}$ to shrink?Soft margin SVM: increasing the value of CHard margin SVM: adding a sample...
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If the data is linearly separable, SVM minimizes $||w||^2$? subject to the constraints $\forall_i, y_iw \cdot x_i ≥ 1$. In the linearly separable case, which of the follo...
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Recall that when the data are not linearly separable, SVM minimizes $||w||^2 + C \sum_i \xi_i$ subject to the constraint that $\forall_i, y_i w \cdot x_i \geq 1 - \xi_i$ ...
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Suppose a soft SVM objective (with a bias parameter) is optimized on a dataset twice: once using a slack hyperparameter (the constant multiplier on the sum of slack varia...
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Consider the soft SVM objective below:$$Minimise: \\\ frac{1}{2} ||w||_2^2 + C \sum_{i = 1}^N \xi_i$$ $$Subject \\\ to: \\\ y_i (w \cdot x_i + w_0) \geq 1 - \xi_i ; \\\ \...
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if we run Hard margin SVM multipte times then it can give different $w$ and $b$ although boundary will be same .(Please enter 1 for True and. 0 for False).
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Consider a dataset of points $x_1, ..., x_n$ with labels $y_1, ..., y_n \in \{ - 1 , 1\}$, such that the data is separable. We run a soft-margin SVM and a hard-margin SVM...
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In the context of Slack Soft Margin SVM (Support Vector Machine), which of the following expressions can describe the slack variable $\xi^{(i)}$? $ \xi^{(i)} = \begin{ca...
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Which of the following statements is true regarding the slack variable $\xi^{(i)}$ in SVM classification?$\xi^{(i)} 0$ indicates that the point is classified correctly b...
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Suppose we have a soft-margin SVM for which $\mathbf{w}=(-6,3)$ and $b=5$. Consider the example $(\mathbf{x}=(2,1), y=-1)$.$(I)$ $\text { How does the SVM classify } \mat...
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Which of the following statements is true regarding the slack variable $\xi$ in SVM classification ? $\xi>0$ indicates that the point is classified correctly but lies ins...
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At the optimal solution of$$\begin{array}{cl}\min _{b, \mathbf{w}, \boldsymbol{\xi}} & \frac{1}{2}{\mathbf{w}^T} \mathbf{w}+C \cdot \sum_{n=1}^N \xi_n \\\text { s.t. } & ...
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What is the possible value of $\xi_n$ for point D ?A. $\xi_n=1$B. $\xi_n<1$C. $1<\xi_n<2$D. $\xi_n>2$
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What is the possible value of $\xi_n$ for point C ?A. $\xi_n=1$B. $\xi_n<1$C. $1<\xi_n<2$D. $\xi_n>2$