| last 4 SBU ID digits |
lab 0 (5) |
|
sheet (10) |
attributes (40+10) |
source (10) |
250 pts (10) |
500 pts (+10) |
fused (+20) |
reason (10) |
hypotheses (25) |
lab 1 total (105+40) |
comments |
| 8166 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
10 |
25 |
145 |
Great work !! |
| 9302 |
5 |
|
10 |
40 |
10 |
10 |
10 |
0 |
10 |
25 |
115 |
|
| 1955 |
5 |
|
10 |
50 |
10 |
10 |
10 |
0 |
5 |
25 |
120 |
Reasoning can be more meaningful with better clarity of
the dataset. |
| 9043 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
5 |
25 |
140 |
Reasoning can be more in-depth. |
| 5314 |
5 |
|
10 |
50 |
10 |
10 |
10 |
0 |
5 |
15 |
110 |
Write-up should be done using bullet points instead of
paragraphs. It makes it more readable for the TA/Instructor for understanding
the content in a better manner. |
| 7988 |
5 |
|
10 |
40 |
10 |
10 |
10 |
0 |
10 |
10 |
100 |
Hypothesis shouldn't be something that needs to be proven
later. It has to be your feedback over the analysis of trends present in the
data that you've used. Attributes need to be
described in a better manner using bullet points and precise descriptions.
[note for the future] |
| 8951 |
5 |
|
10 |
50 |
10 |
10 |
10 |
0 |
5 |
20 |
115 |
Reasoning has to be more profound wherever possible.
Hypothesis needs to be predictive but rather an observation that you made
after analyzing the dataset and its trends in
greater detail. |
| 5855 |
5 |
|
10 |
50 |
10 |
0 |
0 |
20 |
10 |
25 |
125 |
Less than 250 datapoints available. |
| 4 |
5 |
|
10 |
50 |
10 |
5 |
0 |
0 |
0 |
15 |
90 |
Less than 250 pts available.No reasoning for the dataset
available. Hypothesis should not be predictive but rather an
analysis of the dataset and its trends based on
your observations. |
| 7362 |
5 |
|
10 |
45 |
10 |
10 |
10 |
0 |
8 |
25 |
118 |
Attribute descriptions should be more readable and
meaningful. Reasoning could've been more in-depth. |
| 4508 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
10 |
20 |
140 |
Hypothesis can have better clarity |
| 2946 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
8 |
15 |
133 |
Reasoning should've been more meaningful.Moreover,
hypothesis needs to be more readable. ( use bullet points wherever necessary)
. It has to be not predictive but rather an
observation based on the analysis of the dataset and its trends. |
| 4714 |
5 |
|
10 |
50 |
10 |
10 |
10 |
0 |
10 |
20 |
120 |
Hypothesis needs to be your observation based on the
analysis of the dataset and its trends. |
| 5494 |
5 |
|
10 |
25 |
10 |
10 |
10 |
20 |
8 |
25 |
118 |
Not enough description regarding the attributes were
provided. Reasoning could've been more in-depth.
|
| 7582 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
10 |
25 |
145 |
Great Work !!! |
| 9698 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
10 |
20 |
140 |
Hypothesis can be less predictive and more based on your
observation of the dataset and its trends |
| 1680 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
10 |
25 |
145 |
Great Work !!! |
| 7337 |
5 |
|
10 |
35 |
10 |
10 |
10 |
20 |
10 |
25 |
130 |
Attribute information lacked clarity. It should be more
readable and meaningful. |
| 978 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
10 |
25 |
145 |
Great Work !!! |
| 1500 |
5 |
|
10 |
40 |
10 |
10 |
10 |
0 |
5 |
15 |
100 |
Reasoning isn't that meaningful or rather missing.
Hypothesis could've been more based on the observations of the dataset and
its trends rather than predictive. |
| 7942 |
5 |
|
10 |
50 |
10 |
10 |
10 |
|
10 |
25 |
125 |
|
| 258 |
5 |
|
10 |
40 |
10 |
10 |
10 |
20 |
10 |
25 |
135 |
|
| 1456 |
5 |
|
10 |
50 |
10 |
10 |
10 |
|
10 |
25 |
125 |
|
| 5877 |
5 |
|
10 |
50 |
10 |
10 |
10 |
|
10 |
25 |
125 |
|
| 807 |
5 |
|
10 |
50 |
10 |
10 |
10 |
|
10 |
25 |
125 |
|
| 930 |
5 |
|
10 |
50 |
10 |
10 |
0 |
|
10 |
25 |
115 |
|
| 1087 |
5 |
|
10 |
44 |
10 |
10 |
10 |
|
10 |
25 |
119 |
all categorical variables have only 3 categories,
mentioned in assignment to have at least 6 categories |
| 336 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
10 |
25 |
145 |
|
| 4262 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
10 |
25 |
145 |
|
| 307 |
5 |
|
10 |
30 |
10 |
10 |
10 |
20 |
10 |
20 |
120 |
use points and concisely describe attributes / use points
to describe hypothesis, write in terms of concrete statements and reasons /
make sure to write assignments in technical way
and not essays - good luck! |
| 8403 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
10 |
25 |
145 |
|
| 2880 |
5 |
|
10 |
30 |
10 |
10 |
10 |
|
10 |
25 |
105 |
we need a single dataset / 2 datasets mentioned are not
fused / give a technical description of attributes in points and writing
their featrues concisely not like an essay - good
lick! |
| 1531 |
5 |
|
0 |
0 |
0 |
0 |
0 |
|
0 |
0 |
0 |
no submission |
| 7423 |
5 |
|
0 |
50 |
10 |
10 |
10 |
|
10 |
25 |
115 |
did not find dataset - submit it on brightspace and mail
me, I will talk with professor and grade your for the same accordingly |
| 3446 |
5 |
|
10 |
30 |
10 |
10 |
10 |
|
10 |
25 |
105 |
explain the attributes - what is it, range,
categorical/continuous |
| 3391 |
5 |
|
10 |
40 |
10 |
10 |
10 |
|
10 |
20 |
110 |
use points and concisely describe attributes / use points
to describe hypothesis, write in terms of concrete statements and reasons / make sure to write assignments in technical way
and not essays - good luck! |
| 3291 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
10 |
25 |
145 |
|
| 3530 |
5 |
|
10 |
50 |
10 |
10 |
0 |
|
10 |
25 |
115 |
|
| 7641 |
5 |
|
10 |
30 |
10 |
10 |
10 |
|
10 |
10 |
90 |
use points and concisely describe attributes / hypothesis
written as opinions with no points, write in terms of concrete statements and
reasons / make sure to write assignments in
technical way and not essays - good luck! |
| 3297 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
10 |
25 |
145 |
|
| 2303 |
5 |
|
10 |
40 |
10 |
10 |
10 |
0 |
10 |
25 |
115 |
Good work!! |
| 3272 |
5 |
|
10 |
50 |
10 |
10 |
10 |
0 |
10 |
25 |
125 |
Good work!! |
| 8631 |
5 |
|
10 |
50 |
10 |
10 |
10 |
0 |
10 |
25 |
125 |
Good work!! |
| 6339 |
5 |
|
10 |
40 |
10 |
10 |
10 |
20 |
10 |
25 |
135 |
Good work!! |
| 6357 |
5 |
|
10 |
50 |
10 |
10 |
0 |
0 |
10 |
15 |
105 |
only 3 hypotheses given |
| 6151 |
5 |
|
10 |
50 |
10 |
10 |
10 |
0 |
5 |
25 |
120 |
Reasoning should be more meaningful |
| 2191 |
5 |
|
10 |
50 |
10 |
10 |
0 |
0 |
10 |
25 |
115 |
Good work!! |
| 3851 |
5 |
|
10 |
50 |
10 |
10 |
10 |
0 |
10 |
25 |
125 |
Great work!! |
| 3596 |
5 |
|
10 |
50 |
10 |
10 |
10 |
0 |
10 |
25 |
125 |
Great work!! |
| 2066 |
5 |
|
0 |
50 |
10 |
10 |
10 |
20 |
10 |
25 |
135 |
Sheet not submitted |
| 4735 |
5 |
|
10 |
40 |
10 |
10 |
10 |
0 |
10 |
25 |
115 |
Good work!! |
| 1872 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
10 |
25 |
145 |
Great work!! |
| 5272 |
5 |
|
10 |
45 |
10 |
10 |
10 |
20 |
10 |
25 |
140 |
Good work!! |
| 3927 |
5 |
|
10 |
50 |
10 |
10 |
10 |
20 |
10 |
25 |
145 |
Great work!! |
| 6504 |
5 |
|
10 |
50 |
10 |
10 |
10 |
0 |
10 |
25 |
125 |
Good work!! |
| 5914 |
5 |
|
10 |
40 |
10 |
10 |
10 |
0 |
10 |
25 |
115 |
Good work!! |
| 1282 |
5 |
|
10 |
45 |
10 |
10 |
10 |
0 |
10 |
25 |
120 |
Good work!! |
| 7666 |
5 |
|
10 |
50 |
10 |
10 |
0 |
20 |
10 |
25 |
135 |
Good work!! |
| 4120 |
5 |
|
10 |
45 |
10 |
10 |
10 |
20 |
10 |
25 |
140 |
Good work!! |
| 303 |
5 |
|
10 |
50 |
10 |
10 |
10 |
0 |
10 |
25 |
125 |
Good work!! |
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| Yash Kothadiya |
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| Naman Shah |
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| Aishik Deb |
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