I'd like to start of with a thank you for such a great resource, after a bit of a trouble building the application I was able to start the designer and data collector without any problems.
I wanted to run the P300 demo, to see how well a simple setup will work, and was able to run all steps up until the online step.
The classifier was trained successfully with cross validation accuracy at 80%. Here are the full logs
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[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Received train stimulation. Data dim is [1440x225]
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> For information, we have 240 feature vector(s) for input 1
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> For information, we have 1200 feature vector(s) for input 2
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> k-fold test could take quite a long time, be patient
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Finished with partition 1 / 5 (performance : 81.944444%)
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Finished with partition 2 / 5 (performance : 79.861111%)
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Finished with partition 3 / 5 (performance : 79.166667%)
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Finished with partition 4 / 5 (performance : 82.291667%)
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Finished with partition 5 / 5 (performance : 79.861111%)
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Cross-validation test accuracy is 80.625000% (sigma = 1.250000%)
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Cls vs cls 1 2
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Target 1: 10.0 90.0 %, 240 examples
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Target 2: 5.2 94.8 %, 1200 examples
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Training set accuracy is 85.972222% (optimistic)
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Cls vs cls 1 2
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Target 1: 23.8 76.2 %, 240 examples
[ INF ] At time 606.273 sec <Box algorithm::(0x0a5a6a4a, 0x1d92a778) aka Classifier trainer> Target 2: 1.6 98.4 %, 1200 examples
[ INF ] At time 0.000 sec <Box algorithm::(0x000000ea, 0x000057a1) aka Launch> Lua script terminated
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[ WARNING ] Box <Classifier processor> sends inconsistent chunk dates on output [0] (current chunk dates are [98972436677,101549417054] whereas previous chunk dates were [0,0])
[ WARNING ] 'Stimulations' streams should have continuously dated chunks
[ WARNING ] Please report to box author and attach your scenario
Thank you in advance for any tips on the matter.
Cheers!