BDAN 250 The variable Meta_score is: continuous categorical Both Neither
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BDAN 250
The variable Meta_score is:
continuous
categorical
Both
Neither
Step by step
Solved in 1 steps
- Write a r programming code for random forest use mtcars dataset and calculate these classification metrics: contusion matrix, accuracy, precision, recall, sensitivity, specificity, F1 score and matthew correlation coefficient.Question 15 options: Complete the following Truth Table p q r p ∨ ~(~q ↔ ~r) T T T (a) T T F (b) T F T (c) T F F (d) F T T (e) F T F (f) F F T (g) F F F (h)Horizontal sequence :RIVL Vertical sequence:FMK Scoring rules: g/o = -3, g/e = -1, match or mismatch - from PAM250 substitution matrix below. NW algorithm. 1. Complete the scoring matrix. Scoring matrix with PAM250 scores: R I V L F M K 2. Set up, initialize and complete the NW matrix. 3. Retrace, align and score alignment(s). Use the arrows and circles for the matrix and path(s). R I V L F M K Align and score all optimal alignments here. PLZ the arrows and circles for the matrix and path(s) AND SHOW ALL possible Alignment
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