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Hi Ddsa2210,
Validation dataset will be provided for scoring purpose only. No label will be provided. The submitted prediction results of the validation dataset will only be scored once.
For testing dataset, the label will not be provided either. But you can evaluate your prediction performance on testing dataset daily until the data challenge ends.
Best,
Data Challenge Team.
Hello Neaolei,
Thank you for the message.
The amplitude is generally in line with the fault, however that is not always the case. In some or many operation conditions, there are cases that a small fault may have a higher amplitude. Similar pattern will appear in the testing and validation as well.
The data labels are all correct.
Best Regards,
PHM Data Challenge Team.Hello akashri123,
There is no last date for testing results evaluation. As long as data challenge is open you can keep working on testing data. The last day of data challenge is August 21,2023. You need to upload your results for validation data set on/before that.
Validation data will be posted on Aug 7th.
Yes, validation data will include all classes data.
Best,
Data Challenge Team
Hello Yrim,
The answers are yes and yes.
The final validation dataset will also include rpm and torque for each data sample.
Operating conditions are provided purposely since in reality, the operating conditions during data collecting are mostly known.They will all be in txt data format just like the training and testing dataset.
Best,
PHM Data Challenge TeamHello Statssde,
Thank you for the reply.
your calculation for 2 is correct, there is a missing 0. Thanks for pointing that out.
Also, in the weight table there is a missing 0.5 and misaligned for the rest.
Score[observation_2] = 0.2*(0+0+0+0+0-0.1*0.5+0.1*0+0.4*0.5+0.4*1+0.1*0.5+0.1*0) = 0.12.
And the points corresponding to each prob_X is as follows:
prob_0=0, prob_1=0, prob_2=0, prob_3=0, prob_4=0, prob_5=-0.5, prob_6=0, prob_7=0.5, prob_8=1, prob_9=0.5, prob_10=0.Based on the assigned weight, 8-8=0 and had 0 distance, with a weight of 1. 7 and 9 has distance of 1 and a weight of 0.5. For distance 2, weight is 0, and for distance 3, weight is -0.5.
We will update the corresponding table.
Let us know if there is still ambiguity.Best,
Data Challenging Team.
Hello,
Thank you for using the interactive forum.
Sorry for our late response.
For your question, in the example, the correct label is 3. (just a reminder, the first entry is the sample id, the second entry is for label 0, the third entry is for label 1, etc.)
With the sample answer, label 3 has a probability of 0.8, which is multiplied with weight 1, while label 2 and label 4 have a probability of 0.1, which is multiplied with weight 0.5 (they are distance 1 away from the true answer).
Best,
PHM data Challenge team.
