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To run the complete SCOP 1.53 benchmark please unpack the datasetsSCOP1.53.tar.bz2archive in this directory so that a directory 'datasetsSCOP1.53' exists with the subfolders'original-dataset' and 'positive-training-extended'. See also the 'runtrain.sh' scriptwhere the location of the datasets are configured.If not happened before the LSTM binary should be compiled by running 'make' in thesrc directory. Then the experiment is started by runningsh runtrain.shThe LSTM gives out the performance on every epoch and stops after 100 epochs whichis repeated for the 54 datasets.The performance metrics are Mean Square Error (mse), false negatives (fn) andfalse postives (fp) in percent. The progress is also written in to the file 'out.txt' inthe lstmrun directory. This file ist automatically stored with the name of the test familiyin the directory 'out'. The weight matrices can be found in the directory wms.
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