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It is a tool for classification data sets. For any Data science problem, if we are going to use Machine learning algorithms then each algorithm might give different results with different kinds of datasets, hence different kinds of experiments have to be done and also we must be able to deal with the tuning parameters in each of the algorithm.

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aravindchaluvadi/Darwin-ML-TOOL

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Darwin-ML-TOOL

First you will be asked to select a directory which would be used to write or read files to that folder a new folder inside the selected folder is created with Name Darwin and time stamp of the time.You need to enter column name of the Target . Then a list of all the variables pop up double click only Categorical Variables and close the popup(target column name is modified to target you need to select that too). You will be asked to select row or column which delete's the row's or column's which have more than 30% of NA's. Rest is taken care by the tool. When execution is done Open the directory that was selected by you in start. It would have Folder named Darwin in which you will have Layer-6 folder with output csv file where all the metrics with combinations used are displayed. If any doubts comment below

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It is a tool for classification data sets. For any Data science problem, if we are going to use Machine learning algorithms then each algorithm might give different results with different kinds of datasets, hence different kinds of experiments have to be done and also we must be able to deal with the tuning parameters in each of the algorithm.

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