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Created with Raphaël 2.2.029Jan28272524232221201918Merge branch 'main' of https://git.cs.uni-paderborn.de/dsia-group-14/dsia-group-14-codemainmainfrequencies visualisierungDelete boosting.ipynbkeras neural network v1added k-meansAdded validation on test setSome hyperparamter tuningUpload New Filechanged create_results to find general parameters on val setadded resamplinguploaded results on testsetAdded option to create results validation or test setUpdate create_results.ipynbcreating a result/metrices database for the sklearn algorthmsAchieved better results for GRU (was LSTM) approachfilter one class train setLong training resultsRenamed fileFix environment.ymlAdd lstm approachooneClassSVM accuracyOne Class SVMadded little visualizationAdded knn approachCreate different_sklearn_classifier.ipynbCreated approaches foldercommented pca out, since it needs to be done after Training-Test-SpitAdded create_frequenciessensor scatter plotfix colorMehr visualisierungplot Visualisierung verbessernMerge branch 'main' of https://git.cs.uni-paderborn.de/dsia-group-14/dsia-group-14-codeUpload outputs of notebookAdded first frequency comparison between single productsstd, min, max visualisiertUpdated time series visualizationAdd averaging over time for nok vs ok productsein bisschen visualisierung getestetMinor fix