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Testing and Issues

You can test this app and submit issues during the testing period of the Data Clustering Contest contest.

Entries with serious issues will not be able to win the contest, but even minor issues might be important for overall results.

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19

Comments

Hi, line 118 in main.py it should be "to_csv()"....I dont know how i made that mistake and ended up "topdown_csv", you may fix to "to_csv()" or comment that line. if the last option is done its gonna take more time because it will execute previous options like detect language and classify news to get categories for instance. In the description of the project it was said that the 3 first options depends on previous one. For not repeating all previous options the datasets are saved and for instance to classify categories is uploaded the dataset with classification by news done in previous step....For some reason its not creating the temp file where it gets some info needed for that.....to summarize could you change error in line 118 to ""to_csv()" or comment that line.
if the project was doing what it should it shouldn't entry to that line based in my explanation..
Thanks
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Issues

Fair Leopard Feb 28, 2020 at 15:11
Final score for this submission (out of 100):

Languages: 12.23
News EN: 0
News RU: 0
Categories EN: 0
Categories RU: 0
Threads EN: 0
Threads RU: 0
Unfortunately, this submission didn't get a high enough score to be evaluated for Top news (task 5).

These data reflect the relative accuracy, precision and speed of the algorithm as compared to the other submissions.
30
Fair Leopard Feb 6, 2020 at 16:03
In our preliminary tests, this submission received the following scores (out of 100):

Languages: 72
News EN: 0
News RU: 0
Categories EN: 0
Categories RU: 0
Threads EN: 0
Threads RU: 0

Unfortunately, this submission didn't get a high enough score for the final task (top news) to be evaluated.

This is not the final result, please stay tuned for updates. We apologize for the delay.
20
Fair Leopard Dec 12, 2019 at 15:55
We had to fix the following issues before running the algorithm and will apply relevant penalties during the final scoring:
- invalid output format, fixed ' => ", removed unnecessary output line
10
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