Question: Consider a binary classifier that classifies a share into Buy or No-Buy in a trading algorithm. The classifier was experimented on training data composed of

Consider a binary classifier that classifies a share into Buy or No-Buy in a trading algorithm. The classifier was experimented on training data composed of 1000 manually labelled shares. 500 shares are labelled as Buy and 500 shares are labelled as No-Buy. This constitutes the ground truth data. The classifier provided the following output for the 500 shares manually labelled as Buy: 400 shares classified as Buy and 100 shares classified as No-Buy. The classifier provided the following output for the 500 shares manually labelled as No-Buy: 490 shares classified as No-Buy and 10 shares classified as Buy. Calculate the Accuracy, Precision, Recall and F-measure.

Step by Step Solution

There are 3 Steps involved in it

1 Expert Approved Answer

Step: 1 Unlock blur-text-image

Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock

Step: 3 Unlock

Students Have Also Explored These Related Accounting Questions!

Question 1: Consider a binary classifier that classifies a share into Buy or No-Buy in a trading algorithm. The classifier was experimented on training data composed of 1000 manually labelled shares....

1 Gaussian Class-Conditional distribution (a) Consider a binary classifier (i.e. y E [0,1). Suppose the class conditional distribution, p(r(")y(m)j is a Gaussian with mean ? j and covariance matrix...

2) Consider a binary classifier with inputs x1 and x2 and output y as follows: x(1)=[12]y(1)=1x(2)=[.50]y(2)=0x(3)=[0.5]y(3)=1m=3,nx=2 Initial conditions: w=[00],b=0,J=0 =0.1 Here is the vectovized...

Problem 3. Decision Trees (20 points) Consider a binary class classification problem with following data pionts: 1 1 25 -1 10 1 7 1 1 12 1 19+ 1 6 1 1 22 18+ 1 1 7- In this problem we are going to...

Implement the NAIVEBAYES algorithm Consider a binary classification problem, where the input x is a binary vector of length k . Naive Bayes is a generative model that assumes that features in x are...

2 Biomedical applications of machine learning and computational modeling Name 2 examples of biomedical applications in which you might use a binary classifier; contrast each of those two examples to...

Receiver operating characteristics (ROC) A ROC illustrates the diagnostic ability of a binary classifier as its discrimination threshold is varied. The ordinate in a ROC is the true positive rate...

Problem # 8 : ( 1 point ) Evaluating the performance of a classification model involves using various metrics to understand different aspects of its predictions. Consider a binary classification...

Imagine you are using an Al system for classification. We want to classify dots on the graph below as red or blue. Each dot is represented by an x and y position. We have many ( dot , label ) pairs...

Which one of the following statements about the receiver operating characteristic ( ROC ) is FALSE? Group of answer choices To obtain a smooth ROC, we typically need to average the ROC obtained in...

Analyze the current situation of (Toms Shoes) by examining the strategic management challenges facing the company. The analysis can also include a review of current challenges, future developments,...

1. Why does inflation make nominal GDP a poor measure of the increase in total production? 2. Which component of GDP will be affected by each of the following transactions involving Fly Cheap...

Financially healthy firms frequently close any cash flow gaps in their operating cycles with _ _ _ _ _ _ . Question 2 5 options: capital long - term debt short - term borrowing

If the following join statement is used to join two tables in a query, which of the following tables would all of the tuples in the relation appear in results? left join university.students on...