Questions without answers in Machine Learning

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In the context of K-Nearest Neighbors ($\mathrm{KNN}$), what is the minimum odd value of $\mathrm{K}$ such that the diamond ($\diamond$) shaped data point gets classified as ($\square$)?
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Consider the vectors:\[\begin{aligned}& X_1=\begin{bmatrix} 1 \\ 0 \end{bmatrix}, \quad X_2=\begin{bmatrix} 0 \\ 1 \end{bmatrix}, \quad X_3=\begin{bmatrix} 0 \\ -1 ... X_1, X_2, X_5$X_1, X_2, X_3, X_4, X_5, X_6$X_3, X_4$X_1, X_2, X_3, X_4$
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Consider a scenario with \(k\)-binary attributes for a two-class classification task using Naive Bayes. What is the total number of parameters needed?Choose the correct option:\(2k + 1\)\(2^k + 1\)\(2^{k+1} + 1\)\(k^2 + 1\)
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Consider a k-means clustering scenario with two vectors already present in Cluster 3: \(\mathbf{v_1} = [1,1]\) and \(\mathbf{v_2} = [-1,1]\). Which of the following vectors is also likely to ... 3? \([0,0]\) \( [0,1]\) \([0,-2]\) \([0,2]\)
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In adversarial search, the evaluation function assignsHigh and LowHigh and HighLow and LowLow and High
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ML question: Given four plots in options. Asking that which of the following are linearly separable.
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ML Question: Given two Neural Networks involving weights. Asking for the values of p, q, r.
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Machine learning question based on Information Gain
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Fisher discriminant analysis\[ J(u) = \frac{u^{\top} s_B u}{u^{\top} s_w u} \]
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