Homework Answers
I got option b 0.5
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Giving the following confusion matrix from the evaluation process, what is the value for accuracy? Actual...
6. Calculate the following performance metrics for the confusion matrix shown below. * True positive rate....
6. Calculate the following performance metrics for the confusion matrix shown below. * True positive rate. * True negative rate. + False positive rate. + False negative rate. + Precision. + Accuracy + Error rate. Actual class Positive Negative Positive 30 15 Predicted Class Negative 10 85
Q4) After we ran a model, we got the following results as presented in the confusion...
Q4) After we ran a model, we got the following results as presented in the confusion Prediction Actual Class Yes No Yes 1100 70 No 130 700 based on this output the following questions: 1. What is the value of classification accuracy?|| 2. How many instances are incorrectly classified? 3. How many instances were assigned true negative? 4. How many instances were assigned true positive?
Following is a confusion matrix table formed from the patients undergoing COVID -19 test. Predicted Positive...
Following is a confusion matrix table formed from the patients undergoing COVID -19 test. Predicted Positive Negative Observed Positive 6 4 Negative 2 8 The precision of the model is 0.75 0.8 0.7 1
Confusion Matrix The following table summarize performance of a classification algorithm for identifying cancerous (Malignant) cells....
Confusion Matrix The following table summarize performance of a classification algorithm for identifying cancerous (Malignant) cells. Table-1: Outcome from a classifier Model M1 Prediction Benign Malignant Actual Benign 60 15 Malignant 5 35 Compute the accuracy and error rate of the classifier. Compute the sensitivity and specificity of the classifier. Compute the precision and recall of the classifier. Compute the F1 measure of the classifier. Compute the Fβ measure of the classifier in which weights recall twice as much as...
The same scenario is used for the remainder of the questions. A psychiatrist clinic classifies its...
The same scenario is used for the remainder of the
questions.
A psychiatrist clinic classifies its accounts receivable into
the following four states
State 1. Paid
State 2. Bad debt
State 3. 0-30 days
State 4. 31-90 days
The clinic currently has $8000 accounts receivable in the 0-30 days
state and $2000 in the 31-90 days state. Based on historical
transition from week to week of accounts receivable, the following
matrix of transition probabilities has been developed for the
clinic...
Q.5 6 marks Markov chain with the following (a) Draw the state transition diagram for transition matrix P 0 0.5 0 0.5 0...
Q.5 6 marks Markov chain with the following (a) Draw the state transition diagram for transition matrix P 0 0.5 0 0.5 0 0.2 0.8 0 0 O P = \ 0 0.1 0 0.2 0.7 0 0.9 0 0.1 0 0 0 0 0 1 on five states 1,2,3,4,5} 2 marks (b) Identify the communicating classes of the Markov chain and identify whether they are open or closed. Write them in set notation and mark them on the transition...
Q1. In a digital classification process “training” a computer can be performed with supervised or unsupervised...
Q1. In a digital classification process “training” a computer can be performed with supervised or unsupervised method. (i) What then is “training”? ……………………………………………………………………………………………. ……………………………………………………………………………………………. (ii) Maximum likelihood algorithm assumes that the bands of data have normal distributions. What is the objective of the assumption of normality in this algorithm? ……………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………………… (iii) In maximum likelihood algorithm, about three parameters can be used to compute the statistical probability of a given pixel value being a member of a particular land cover category...
A University is applying Classification methods in order to ldentity alumini who may be interested in...
A University is applying Classification methods in order to ldentity alumini who may be interested in donating money. The University has a database of 58,205 alumni profiles containing numerous variables. Of these 58,205 alumni, only 576 have donated in the past. The university has oversampled the data and trained a random forest of 100 classification trees. For a cutoff value of 0.5, the following confusion matrix summarizes the performance of the random forest on a validation set: Predicted Actual Donation...
please explain the process Use the following cell phone airport data speeds (Mbps) from a particular...
please explain the process
Use the following cell phone airport data speeds (Mbps) from a particular network. Find Q, 0.1 0.2 0.3 0.3 0.4 0.5 0.7 0.8 08 0.9 0.9 0.9 1.4 1.4 1.9 2.1 2.1 2.1 4.2 4.4 5.6 56 5.8 7.1 11.1 11.1 11.2 114 12.1 12.1 0.5 0.9 28 82 135 0.5 1.1 2.9 8.7 14.8 06 12 3.4 8.9 15.5 0.75 1.3 3.8 10.5 28.1 Q, Mbps (Type an integer or a decimal. Do not round)
5. For the following Lesie matrix, (a) find a population of size 77,000 for which the proportion of the population in each age group stays the same from one year to the next, and (b) tell by what...
5. For the following Lesie matrix, (a) find a population of size 77,000 for which the proportion of the population in each age group stays the same from one year to the next, and (b) tell by what factor the population grows or declines each year 0.9 0.5 1.8 0 (a) Let the first and second columns of the Leslie matrix correspond to the populations x1 and x2, respectively. The population in each age group stays the same from one...
6. Calculate the following performance metrics for the confusion matrix shown below. * True positive rate. * True negative rate. + False positive rate. + False negative rate. + Precision. + Accuracy + Error rate. Actual class Positive Negative Positive 30 15 Predicted Class Negative 10 85
Q4) After we ran a model, we got the following results as presented in the confusion Prediction Actual Class Yes No Yes 1100 70 No 130 700 based on this output the following questions: 1. What is the value of classification accuracy?|| 2. How many instances are incorrectly classified? 3. How many instances were assigned true negative? 4. How many instances were assigned true positive?
Following is a confusion matrix table formed from the patients undergoing COVID -19 test. Predicted Positive Negative Observed Positive 6 4 Negative 2 8 The precision of the model is 0.75 0.8 0.7 1
The same scenario is used for the remainder of the
questions.
A psychiatrist clinic classifies its accounts receivable into
the following four states
State 1. Paid
State 2. Bad debt
State 3. 0-30 days
State 4. 31-90 days
The clinic currently has $8000 accounts receivable in the 0-30 days
state and $2000 in the 31-90 days state. Based on historical
transition from week to week of accounts receivable, the following
matrix of transition probabilities has been developed for the
clinic...
Q.5 6 marks Markov chain with the following (a) Draw the state transition diagram for transition matrix P 0 0.5 0 0.5 0 0.2 0.8 0 0 O P = \ 0 0.1 0 0.2 0.7 0 0.9 0 0.1 0 0 0 0 0 1 on five states 1,2,3,4,5} 2 marks (b) Identify the communicating classes of the Markov chain and identify whether they are open or closed. Write them in set notation and mark them on the transition...
A University is applying Classification methods in order to ldentity alumini who may be interested in donating money. The University has a database of 58,205 alumni profiles containing numerous variables. Of these 58,205 alumni, only 576 have donated in the past. The university has oversampled the data and trained a random forest of 100 classification trees. For a cutoff value of 0.5, the following confusion matrix summarizes the performance of the random forest on a validation set: Predicted Actual Donation...
please explain the process
Use the following cell phone airport data speeds (Mbps) from a particular network. Find Q, 0.1 0.2 0.3 0.3 0.4 0.5 0.7 0.8 08 0.9 0.9 0.9 1.4 1.4 1.9 2.1 2.1 2.1 4.2 4.4 5.6 56 5.8 7.1 11.1 11.1 11.2 114 12.1 12.1 0.5 0.9 28 82 135 0.5 1.1 2.9 8.7 14.8 06 12 3.4 8.9 15.5 0.75 1.3 3.8 10.5 28.1 Q, Mbps (Type an integer or a decimal. Do not round)
5. For the following Lesie matrix, (a) find a population of size 77,000 for which the proportion of the population in each age group stays the same from one year to the next, and (b) tell by what factor the population grows or declines each year 0.9 0.5 1.8 0 (a) Let the first and second columns of the Leslie matrix correspond to the populations x1 and x2, respectively. The population in each age group stays the same from one...
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