Uptake Technologies, Inc.

Greg Gandenberger

When two event prediction models produce different numbers of catches, a computer system may be configured to determine which of the two models has the higher net value based on how a 'Break-Even Alert Value Ratio' for the models compares to an estimate of the how many false flags are worth trading for one catch. Further, when comparing two event prediction models, a computer system may be configured to determine 'catch equivalents' and &#x201c;false-flag equivalents&#x201d; numbers for the two different models based on potential-value and impact scores assigned to the models' predictions, and the computing system then use these &#x201c;catch equivalents&#x201d; and &#x201c;false-flag equivalents&#x201d; numbers in place of &#x201c;catch&#x201d; and &#x201c;false flag&#x201d; numbers that may be determined using other approaches.

Computer system and method for evaluating an event prediction model

A set of successive images for a given area may comprise a first, second, and third images representing different times. Comparisons may be performed between the first image and the second image, the first image and the third image, and the second image and the third image. The respective outputs of the three pairwise comparisons may be evaluated to identify any sub-areas of the given area where one or more temporal patterns of change have occurred. For instance, any sub-area of the given area that exhibits a change between the first and second images, a change between the second and third images, and an absence of change between the second and third images may be identified as a persistent change. An indication that the temporal pattern of change has occurred at each identified sub-area of the given area may then be output to a client station.

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Mt. Prospect, IL, United States of America

Greg Gandenberger