Enrollments closing soon for Post Graduate Certificate Program in Data Science & AI (Including Agentic AI) By IIT Roorkee | 3 Seats Left
Login using Social Account
Login using your credentials
A single metric which combines both precision and recall is the
relative precision
specificity
F1 score
ROC
Taking you to the next exercise in seconds...
Stay here Next Exercise
Want to create exercises like this yourself? Click here.
Note - Having trouble with the assessment engine? Follow the steps listed here
No hints are availble for this assesment
Answer is not availble for this assesment
1 Classification
2 Classification - MCQs - Example of classification
3 Classification - MCQs - Clustering set of students
4 Classification - MCQs - Supervised Learning and classification
5 Classification - MCQs - 80-20 split in classification problem
6 Classification - MCQs - Measure the performance of a classification model
7 Classification - MCQs - Definition - True positives and false positives-1
8 Classification - MCQs - Definition - True positives and false positives -2
9 Classification - MCQs - True positive also known as
10 Classification - MCQs - One Hot Encoding(OHE)
11 Classification - MCQs - MNIST - Multiclass , multi-label
12 Classification - MCQs - Precision and recall
13 Classification - MCQs - F1 score
14 Classification - MCQs - Case- SPAM. Calculations 1
15 Classification - MCQs - Case- SPAM. Calculations 2
16 Classification - MCQs - Case- SPAM. Calculations 3
17 Classification - MCQs - Case- SPAM. Calculations 4
18 Classification - MCQs - Case- SPAM. Calculations 5
19 Classification - MCQs - Case- SPAM. Calculations 6
Loading comments...