Section 3: Code-Based Questions (10 points; 5 points each)

Your final model shows strong performance after tuning. What aspects of your model and results would you highlight to convince finance managers of its reliability and fairness?

Suppose your model achieves 80% accuracy on training data but only 91% on testing data. What does this suggest? How would you diagnose and fix the issue? Name at least two specific techniques you would apply.

Suggest at least two suitable algorithms for this problem and justify your choices. Discuss the rationale behind your choices, comparing at least two algorithms.

What metrics would you choose to evaluate model performance in this financial setting? Explain the significance of false positives and false negatives in this context.

Problem 2: Part B Water (4.18 kJ/kg-K) and air (1.005 kJ/kg-K) flow through a cross-flow heat exchanger with both fluids unmixed. The water flows at 2.0 kg/s and decreases from 66 °C to 45 °C, and the air flows at 4.2 kg/s and enters the heat exchanger at 20 °C.   Using the ε-NTU method, determine the exit temperature of the air (°C)

Problem 3 For a blackbody at 2500 K, determine how much emissive power is emitted within the visible spectrum. Visible spectrum is from 0.4 to 0.76 micrometers   Emissive power (kW/m2)

If the speed of light is c, and the index of refraction of a material is n, what is the speed of light in the material?

You stand in your bathroom brushing your teeth.  Describe the nature of your image in the mirror. (Who even says I have my eyes open that early in the morning, Dr. Johnson!)

Substances absorbed into the lymphatic system do not pass through the liver before entering the general blood circulation.