Metabolite_DeNovoID
Uses adduct grouping and de-novo identification with SIRIUS/CSI:FingerID. Example input data: To download the data from the archive linked below, check […]
DIAMetAlyzer_2.0
To run the workfow: It works best to have a conda environment added to KNIME (File -> Preferences -> KNIME -> Python). Please install the following python […]
JKISeason2-14
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Machine Learning and LIME
This workflow uses a subset of the Kaggle Dataset including 14K customer tweets towards six US airlines […]
Final Project Workflow
Jack McHugh - IT 4015 - Final Project. I added the rubric requirements criteria blocks as a reference when building each component, but please note rubric […]
01_Compute_LIMEs
This is an example for computing explanation using LIME. An XGBoost model was picked, but any model and its set of Learner and Predictor nodes can be […]
JKISeason3-18_tark
Level: Hard Description: You work as a researcher creating models to identify whether a breast tumor is benign or malign, based on anonymized patient […]
01_Deploy_on_Dashboard
URL: Customer churn (full dataset) https://www.openml.org/d/40701
13_H2O_AutoML_on_Spark
This workflow trains classification models for the Airlines Delay dataset using H2O AutoML on Spark. The dataset is expected to be stored on S3 in parquet […]