Question No 3:PredictedAВCDEFHA22932116212442B16418214184123530903434C8456957148226811D16231973217E351151533576532F3929659863G28434452523289.103161418764235777114161061271326(a) Find the accuracy of the above model (8)(b) Find the error rate of the above model (2)(c) Find Precision and Recall of D625

Answered: Image /qna-images/answer/e58d6343-402b-42f7-89c9-b21939291879.jpg

Question No 3: Predicted A B C D E F H A 229 3 2 1 16 21 24 42 B 16 4182 1418 412 35 30 90 34 34 C 8 456 957 148 2 2 68 11 D 16 23 197 3 E 1 3 51 15 15 3 35 765 3 2 F 7 3929 65 98 63 G 28 43 44 52 523 28 9 H 103 16 14 1 87 64 2357 77 114 16 10 2 61 27 1326 (a) Find the accuracy of the above model (8) (b) Find the error rate of the above model (2) (c) Find Precision and Recall of D 625

Question No 3: Predicted A B C D E F H A 229 3 2 1 16 21 24 42 B 16 4182 1418 412 35 30 90 34 34 C 8 456 957 148 2 2 68 11 D 16 23 197 3 E 1 3 51 15 15 3 35 765 3 2 F 7 3929 65 98 63 G 28 43 44 52 523 28 9 H 103 16 14 1 87 64 2357 77 114 16 10 2 61 27 1326 (a) Find the accuracy of the above model (8) (b) Find the error rate of the above model (2) (c) Find Precision and Recall of D 625

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

See similar textbooks

Similar questions

What kinds of multiplicity are there?
Use Matlab to perform the following tasks. please submit the Matlab commands/Simulink blocks you used and the resulting outputs/plots in your answers.
Rank and Nullity
To what extent may data loss be avoided, and what methods work best?
Align the following sequences using global alignment Match score = +5 Mismatch = -4 Gap= -4 a) AACTTGGCAT CGCTTAG b) GCTGGAAGGCAT GCAGAGCACG
ISAM index - assignment• Delete record with key 22, 20, 21, 19, 31.
4.4 You estimated a regression with the following output. Source | SS df MS Number of obs = 422 -------------+---------------------------------- F(1, 420) = 65.26 Model | 835000.255 1 835000.255 Prob > F = 0.0000 Residual | 5374272.98 420 12795.888 R-squared = 0.1345 -------------+---------------------------------- Adj R-squared = 0.1324 Total | 6209273.24 421 14748.8675 Root MSE = 113.12 ------------------------------------------------------------------------------ Y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- X | 20.01443 2.477622 8.08 0.000 15.14434 24.88451 _cons | -20.23479 242.2109 -0.08 0.933 -496.3314 455.8619…
Demonstrate that database values may be changed without notification if As an error detection code, longitudinal parity is employed. (Longitudinal parity is computed for each byte's nth bit; the s is calculated and preserved for all bits in Oth, another parity bit for all bits in 1st place, etc.) etc.)
In the variable-length record format, a null bitmap is used whenever it is necessary to demonstrate that an attribute does not contain any data. Under certain peculiar circumstances, the vast majority of a tuple's attributes are represented by the value null. It is possible to cut the cost of a null attribute down to just one bit by modifying the method in which entries are stored in a database.
If longitudinal parity is used as an error detection code, it could be able to show that the values of a database can be changed without the user being informed of the change. calculated and stored for every Oth bit in the series, a second parity bit for every 1st-place bit in the sequence, etc.) etc. for every nth bit in the sequence.
The null bitmap is used in the variable-length record format to indicate that a certain attribute is empty. In certain odd situations, a tuple may have most or all of its properties set to null. The overhead of a null attribute may be reduced to a single bit by changing the method in which records are represented.
As a benchmark, use a normalized histogram. Is the absence of a non-normalized histogram in a normalized histogram acceptable?