Quality assessment of machine-learning model dataset

An apparatus, comprising:

• at least one processor;
• and
• a computer readable storage medium having computer readable program code embodied therewith and executable by the at least one processor, the computer readable program code comprising:
• computer readable program code configured to obtain a dataset for use in building a machine-learning model;
• computer readable program code configured to assess a quality of the dataset, wherein the quality is assessed in view of an effect of the dataset on a performance of the machine-learning model, wherein the assessing comprises scoring the dataset with respect to each of a plurality of attributes of the dataset;
• computer readable program code configured to, for each of the plurality of attributes having a low quality score, provide at least one recommendation for increasing the quality of the dataset with respect to the attribute having a low quality score;
• and
• computer readable program code configured to, for each of the plurality of attributes having a low quality score, provide an explanation explaining a cause of the low quality score for the attribute having a low quality score.

A computer program product, comprising:

• a computer readable storage medium having computer readable program code embodied therewith, the computer readable program code executable by a processor and comprising:
• computer readable program code configured to obtain a dataset for use in building a machine-learning model;
• computer readable program code configured to assess a quality of the dataset, wherein the quality is assessed in view of an effect of the dataset on a performance of the machine-learning model, wherein the assessing comprises scoring the dataset with respect to each of a plurality of attributes of the dataset;
• computer readable program code configured to, for each of the plurality of attributes having a low quality score, provide at least one recommendation for increasing the quality of the dataset with respect to the attribute having a low quality score;
• and
• computer readable program code configured to, for each of the plurality of attributes having a low quality score, provide an explanation explaining a cause of the low quality score for the attribute having a low quality score.