User interface based variable machine modeling

A computer implemented system, comprising:

• one or more processors;
• and
• a processor-readable storage device comprising processor-executable instructions that, when executed by the one or more processors, cause the one or more processors to perform operations comprising:
• causing presentation of a graphical user interface having a set of selectable graphical interface elements including a first graphical interface element representing a set of data sets, a second graphical interface element representing a set of model families, each model family comprising a family identification and a set of code for a particular machine-learning algorithm that generates a particular machine-learning model for one or more values;
• receiving a selection of a particular data set through the graphical user interface, the particular data set including a set of values;
• receiving a selection of a first machine-learning algorithm and a second machine-learning algorithm through the graphical user interface, the first machine-learning algorithm configured to generate a first machine-learning model for the set of values and the second machine-learning algorithm configured to generate a second machine-learning model for the set of values;
• and
• in response to selection of the first machine-learning algorithm and the second machine-learning algorithm:
• executing the first machine-learning algorithm to process the set of values of the particular data set and generate a plurality of first machine-learning models;
• executing the second machine-learning algorithm to process the set of values of the particular data set and generate a plurality of second machine-learning models;
• determining one or more comparison metric values for data output by each of the plurality of first machine-learning models and the plurality of second machine-learning models;
• and
• causing presentation of the comparison metric values for the data output by the plurality of first machine-learning models and the plurality of second machine-learning models, the presentation comprising a selectable user interface element configured to cause the presentation of a result of at least one of a first machine learning model or a second machine learning model, the result comprising at least one of the comparison metric values.

A processor-readable storage device comprising instructions that, when executed by one or more processors of a machine, cause the machine to perform operations comprising:

• causing presentation of a graphical user interface having a set of selectable graphical interface elements including a first graphical interface element representing a set of data sets, a second graphical interface element representing a set of model families, each model family comprising a family identification and a set of code for a particular machine-learning algorithm that generates a particular machine-learning model for one or more values;
• receiving a selection of a particular data set through the graphical user interface, the particular data set including a set of values;
• receiving a selection of a first machine-learning algorithm and a second machine-learning algorithm through the graphical user interface, the first machine-learning algorithm configured to generate a first machine-learning model for the set of values and the second machine-learning algorithm configured to generate a second machine-learning model for the set of values;
• and
• in response to selection of the first machine-learning algorithm and the second machine-learning algorithm:
• executing the first machine-learning algorithm to process the set of values of the particular data set and generate a plurality of first machine-learning models;
• executing the second machine-learning algorithm to process the set of values of the particular data set and generate a plurality of second machine-learning models;
• determining one or more comparison metric values for data output by each of the plurality of first machine-learning models and the plurality of second machine-learning models;
• and
• causing presentation of the comparison metric values for the data output by the plurality of first machine-learning models and the plurality of second machine-learning models, the presentation comprising a selectable user interface element configured to cause the presentation of a result of at least one of a first machine learning model or a second machine learning model, the result comprising at least one of the comparison metric values.