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AssigneeInternational Business Machines Corporation
InventorsJing Xu, Xue Ying Zhang, Si Er Han, Xiao Ming Ma, Ji Hui Yang
Estimating the term…
A computer receives a general predictive model and training data. The computer builds a clustering feature tree model to condense the training data into data groups. The computer applies a leave-one-out evaluation method to determine an impact value for each data groups with regard to said general predictive model. The computer identifies a diagnostic category for each data group selected from a list of categories including model-harmful data, model-neutral data, and model-helping data, in accordance with said impact value. The computer removes data in groups labelled as model-harmful from the training data and builds a modified general predictive model based on data in groups labelled as model-neutral or model-helping.
A computer implemented method for evaluating data, comprising:
The method of claim of 3, further including scoring, by said computer, said evaluation data with said specialized predictive model if said evaluation data is in the data group to which said specialized predictive model corresponds.
The method of claim of 3, further including scoring, by said computer, said evaluation data with said modified general predictive model if said evaluation data is in a data group identified as model-harmful or model-neutral.
A system to evaluate data, which comprises:
The system of claim of 10, wherein said instruction further cause said computer to score said evaluation data with said specialized predictive model if said evaluation data is in the data group to which said specialized predictive model corresponds.
The system of claim of 10, wherein said instruction further cause said computer to score said evaluation data with said modified general predictive model if said evaluation data is in a data group identified as model-harmful or model-neutral.
A computer program product to evaluate data, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to:
The computer program product of claim of 17, wherein said instruction further cause said computer to score said evaluation data with said specialized predictive model if said evaluation data is in the data group to which said specialized predictive model corresponds.
The computer program product of claim of 17, wherein said instruction further cause said computer to score said evaluation data with said modified general predictive model if said evaluation data is in a data group identified as model-harmful or model-neutral.
Dependencies are inferred from the claim text.