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In a cross between two heterozygous individuals for a trait exhibiting complete dominance, what fraction of the offspring is expected to be homozygous recessive?

What is the primary role of checkpoints in the cell cycle?

What type of cell undergoes meiosis?

What is the effect of genetic drift in a small population?

What is the overall chemical equation for photosynthesis?

Which enzyme is crucial for synthesizing new DNA strands during replication?

Which mutation is least likely to have a significant effect on a protein’s function?

Which of the following can be considered a source of evolutionary change due to its potential to provide new traits?

You intend to use K-Means clustering algorithm to find relevant patterns in a training dataset of 2D points. The ideal result with three well defined clusters is shown in the left image below. However, after running the K-Means clustering with K=3 and random cluster initialization many times, you noticed that the result is frequently not correct and looks similar to the right image below. What could have caused this problem? Justify your answer.    

You are given a training dataset with labeled 2D points (depicted as colored points in the images below). Each point is labeled as one of three classes: red, green, and blue. You then created two different K-Nearest Neighbor models, one using K=1 (left image below) and another using K=50 (right image below). The first model (K=1) has 100% accuracy in the training set. The second model (K=50) has 76.7% accuracy in the training set. Which model would you pick for a real-world application? Why?