-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathREADME.txt
71 lines (59 loc) · 2.71 KB
/
README.txt
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
###################################################################################################
class 1st LEC Data Challenge 2019:
"""
information about
---------------------------
datasets
task
submission
evaluation
important facts
"""
####-------------------------------------------------------------------------------------------
def datasets(challenge.zip):
{
number_of_datasets(challenge.zip) = 3
dimension(training_dataset.csv, test_dataset.csv) = (639, 15)
if dataset == training_dataset.csv:
information = training dataset with two groups of faulty measurements
if dataset == training_solution.csv:
information = values 0 and 1 indicating the faults (value = 1) in the training dataset
if dataset == test_dataset.csv:
information = test dataset where different channels at different records are faulty
}
####-------------------------------------------------------------------------------------------
def task(datasets):
{
task = determine which data points of the test dataset are faulty and which are fault-free
hint = both channel (column) and record number (row)
}
####-------------------------------------------------------------------------------------------
def submission(solution):
{
if(motivation == big)
{
deadline(pre_submission) = July 15, 2019
}
deadline(final_submission) = August 19, 2019
form(submission) = csv-file # 300 rows and 15 columns
values(submission) = 1 or 0 # 1 = faulty, 0 = fault free
name(submission) = test_solution
}
####-------------------------------------------------------------------------------------------
def evaluation(submission):
{
tp=#(true positive); fp=#(false positive); tn=#(true negative); fn=#(false negative)
result = (tp + tn)/(tp + fp + fn + tn)*100 # number of correctly classified points
max_result = 100 # best possible performance
if submission == intermediate_submission:
feedback_deadline = July 29, 2019
if submission == final_submission:
feedback_deadline = September 5, 2019
}
####-------------------------------------------------------------------------------------------
def important_facts(challenge):
{
e-mail = [email protected]
website = www.lec.at/datachallenge
}
###################################################################################################