Comparing a decision tree model using information gain to a decision tree model using randomized feature selection and splits with the same leaf size, the decision tree using information gain will likely require:

Consider the following order book. Bid size Price Ask size 200.80 300 200.75 200 200.50 100 200.25 200 100 199.95 400 199.90 100 199.85 At what average price would a limit order to BUY 500 shares at $200.75 be executed?

Consider the following code snippet.   >>> import numpy as np>>> a = np.random.uniform(size=(3, 3)) >>> a array([[0.81622475, 0.27407375, 0.43170418] [0.94002982, 0.81764938, 0.33611195] [0.17541045, 0.37283205, 0.00568851]]) >>> b = np.random.uniform(size=(3, 3)) >>> b array([[0.57509333, 0.89132195, 0.20920212] [0.18532822, 0.10837689, 0.21969749] [0.97862378, 0.81168315, 0.17194101]]) >>> XXXX >>> a array([[0.81622475, 0.27407375, 1. ] [1. , 1. , 1. ] [0.17541045, 0.37283205, 1. ]]) What code could you replace with XXXX to cause the following output?

Consider the following code snippet.   >>> import numpy as np>>> a = np.random.uniform(size=(3, 3)) >>> a array([[0.80228309 0.05297495 0.30860601] [0.48194334 0.90905674 0.32110407] [0.28256525 0.23255754 0.08857034]]) >>> b = np.random.uniform(size=(3, 3)) >>> b array([[0.08248317 0.23192471 0.08286411] [0.86504732 0.28871177 0.51897854] [0.87400201 0.21622928 0.44841032]]) >>> XXXX >>> a array([[0.80228309 0.05297495 0.30860601] [1. 0.90905674 1. ] [1. 0.23255754 1. ]]) What code could you replace with XXXX to cause the following output?

Consider the following order book. Bid size Price Ask size 100.10 490 100.05 500 100.00 1000 2000 99.95 2000 99.90 1500 99.85 How would you expect the price to change over the next few minutes?

Consider the following valuation factors of a company: It owns 1000 cars valued at $20,000 each It holds patents worth $7,000,000 It owes $10,000,000 in loans It pays $1.00 per year per share in dividends starting in one year The stock price is $60.00 per share There are 1,000,000 shares outstanding The discount rate is 5% The risk free rate is 1% What is the book value of the company?

Which of the following is true about bagging (without boosting)?

According to the 60 minutes video “Is the stock market rigged?” what did spread networks do?

Consider the following order book. Bid size Price Ask size 200.80 300 200.75 200 200.50 100 200.25 200 100 199.95 200 199.90 100 199.85 At what average price would a limit order to SELL 400 shares at $199.85 be executed?

In CAPM, the returns resulting from investment skill are known as?