CN117670137A - Assessment result distribution condition determining method and device, electronic equipment and medium - Google Patents

Assessment result distribution condition determining method and device, electronic equipment and medium Download PDF

Info

Publication number
CN117670137A
CN117670137A CN202311710858.2A CN202311710858A CN117670137A CN 117670137 A CN117670137 A CN 117670137A CN 202311710858 A CN202311710858 A CN 202311710858A CN 117670137 A CN117670137 A CN 117670137A
Authority
CN
China
Prior art keywords
assessment
result
examination
assessment result
distribution condition
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202311710858.2A
Other languages
Chinese (zh)
Inventor
钟志育
吴一凡
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Guangzhou Lewubian Education Technology Co ltd
Original Assignee
Guangzhou Lewubian Education Technology Co ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Guangzhou Lewubian Education Technology Co ltd filed Critical Guangzhou Lewubian Education Technology Co ltd
Priority to CN202311710858.2A priority Critical patent/CN117670137A/en
Publication of CN117670137A publication Critical patent/CN117670137A/en
Pending legal-status Critical Current

Links

Landscapes

  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

The invention discloses a method, a device, electronic equipment and a medium for determining the distribution condition of an examination result. The method comprises the following steps: determining at least one assessment result threshold value of the current assessment, and at least one assessment result threshold value of the reference assessment, wherein the assessment result distribution condition of the reference assessment; expanding the number of the examination objects of the current examination according to the number of the examination objects of the current examination and the number of the examination objects of the reference examination to obtain an expanded examination, and determining the distribution condition of the examination results of the expanded examination; adjusting the assessment result distribution condition of the extended assessment according to the assessment result threshold value of the extended assessment, the assessment result threshold value of the reference assessment and the assessment result distribution condition of the reference assessment; and taking the adjusted assessment result distribution situation as the assessment result distribution situation to be predicted and assessed. According to the technical scheme, the prediction of the assessment result after the current assessment result is carried out can be based on the prediction of the assessment result.

Description

Assessment result distribution condition determining method and device, electronic equipment and medium
Technical Field
The present invention relates to the field of data processing technologies, and in particular, to a method and apparatus for determining a distribution situation of an assessment result, an electronic device, and a medium.
Background
The known assessment results are subjected to result analysis, and the assessment results after prediction can provide basis for analysis of subsequent assessment and provide guidance for the assessment object to deal with the subsequent assessment.
At present, the current assessment result analysis and the subsequent assessment result prediction of the mainstream are generally based on artificial experience judgment, and the artificial experience-based mode has limited guidance significance, and the results are not necessarily accurate and cannot be applied to single assessment objects in a targeted manner. Therefore, a clear, intuitive and highly applicable way of analyzing the current assessment results and predicting the distribution of the following assessment results is needed.
Disclosure of Invention
The invention provides a method, a device, electronic equipment and a medium for determining the distribution condition of an assessment result, so as to realize the prediction of the assessment result after the current assessment result is carried out.
In a first aspect, an embodiment of the present invention provides a method for determining a distribution situation of an assessment result, where the method includes:
determining at least one assessment result threshold value of the current assessment, and at least one assessment result threshold value of the reference assessment, wherein the assessment result distribution condition of the reference assessment;
expanding the number of the examination objects of the current examination according to the number of the examination objects of the current examination and the number of the examination objects of the reference examination to obtain an expanded examination, and determining the distribution condition of the examination results of the expanded examination;
Adjusting the assessment result distribution condition of the extended assessment according to the assessment result threshold value of the extended assessment, the assessment result threshold value of the reference assessment and the assessment result distribution condition of the reference assessment;
and taking the adjusted assessment result distribution situation as the assessment result distribution situation to be predicted and assessed.
In a second aspect, an embodiment of the present invention further provides a device for determining a distribution situation of an assessment result, where the device includes:
the data determining module is used for determining at least one assessment result threshold value of the current assessment, the assessment result distribution condition of the reference assessment and at least one assessment result threshold value of the reference assessment;
the assessment object number expansion module is used for expanding the number of the assessment objects of the current assessment according to the number of the assessment objects of the current assessment and the number of the assessment objects of the reference assessment, obtaining an expanded assessment, and determining the assessment result distribution condition of the expanded assessment;
the assessment result distribution condition adjustment module is used for adjusting the assessment result distribution condition of the extended assessment according to the assessment result threshold value of the extended assessment, the assessment result threshold value of the reference assessment and the assessment result distribution condition of the reference assessment;
The assessment result distribution condition determining module is used for taking the adjusted assessment result distribution condition as the assessment result distribution condition of the assessment to be predicted.
In a third aspect, an embodiment of the present invention further provides an electronic device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements a method for determining a distribution situation of an assessment result according to any one of the embodiments of the present invention when the processor executes the program.
In a fourth aspect, embodiments of the present invention further provide a storage medium storing computer-executable instructions, which when executed by a computer processor, are configured to perform a method for determining a distribution of assessment results according to any one of the embodiments of the present invention.
According to the technical scheme, the current assessment results are obtained, the assessment results are distributed according to the current assessment, the reference assessment and the reference assessment results are obtained, the number of the current assessment is expanded according to the number of the current assessment and the number of the reference assessment, the assessment results are distributed according to the expanded assessment, the reference assessment and the reference assessment, and the assessment results are distributed according to the expanded assessment, the reference assessment and the assessment results are adjusted to obtain the assessment results to be predicted. The technical scheme of the embodiment can realize clear, visual and scientific assessment result distribution condition prediction for the subsequent assessment.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the invention or to delineate the scope of the invention. Other features of the present invention will become apparent from the description that follows.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings required for the description of the embodiments will be briefly described below, and it is apparent that the drawings in the following description are only some embodiments of the present invention, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a flowchart of a method for determining a distribution of test results according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an assessment result distribution situation prediction result according to an embodiment of the present invention;
FIG. 3 is a flowchart of a method for determining a distribution of test results according to a second embodiment of the present invention;
FIG. 4 is a flowchart illustrating a method for predicting distribution of test results according to a second embodiment of the present invention;
fig. 5 is a schematic structural diagram of a determining device for checking a distribution situation of results according to a third embodiment of the present invention;
Fig. 6 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used may be interchanged where appropriate such that the embodiments of the invention described herein may be implemented in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
Fig. 1 is a flowchart of a method for determining a distribution situation of an assessment result according to an embodiment of the present invention, where the method may be performed by a device for determining a distribution situation of an assessment result, and the device may be implemented in hardware and/or software, and the device for determining a distribution situation of an assessment result may be configured in an electronic device, by analyzing a current assessment result and referencing a reference assessment result.
As shown in fig. 1, the method includes:
s110, determining at least one assessment result threshold value of the current assessment, assessment result distribution conditions of the reference assessment and at least one assessment result threshold value of the reference assessment.
The current assessment refers to assessment of assessment results, the assessment results to be predicted are predicted, at least the current assessment needs to include an assessment result threshold, and if the current assessment includes an assessment result distribution situation, the assessment result distribution situation prediction of the assessment to be predicted can be performed jointly by combining the assessment result distribution situation and the assessment result threshold. The assessment result threshold is used for dividing the assessment result, and the assessment result which is larger than or equal to the assessment result threshold and the assessment result which is smaller than the assessment result threshold are respectively divided into different sections. The reference assessment is the same assessment as the assessment level to be predicted, the assessment result distribution condition refers to the distribution condition of the number of assessment objects corresponding to each assessment result, and the assessment result distribution condition can be represented by a table or a curve.
In one example, when the current examination is an examination, the examination result may be a score value of the examination object, and the examination result threshold may be a score line, for example, a pass score line, an admission control score line, or the like, and the score line is used as an example, for an examination result greater than or equal to the score line, the examination object and the examination result thereof are divided into pass intervals, and for an examination result less than the pass score line, the examination object and the examination result thereof are divided into fail intervals. The reference examination is an examination of the same level as the examination to be predicted, for example, the current examination is a simulation examination, the reference examination and the examination to be predicted can be an examination to be performed and an examination to be performed next, the distribution condition of the examination results of the reference examination can be the number of people corresponding to each score value of the reference examination, and the threshold value of the examination results of the reference examination is the score line of the reference examination.
In another example, when the assessment is a work assessment, the assessment result may be a score value of the assessment object, the assessment result threshold may be a score line, the assessment object and the score value thereof are divided into a first-gear interval for score values greater than or equal to the score line, and the assessment object and the score value thereof are divided into a second-gear interval for score values less than the score line. The evaluation object in the first range can be determined to be excellent, the evaluation object in the second range can be determined to be good, and the like. The reference assessment is a working assessment at the same level as the to-be-predicted assessment, for example, the current assessment is a branch office working assessment, the reference assessment and the to-be-predicted assessment can be an on-air group working assessment and a next on-air group working assessment respectively, the assessment result distribution condition of the reference assessment can refer to the number of people corresponding to each scoring value of the reference assessment, and the assessment result threshold of the reference assessment refers to a grading line of the reference assessment.
S120, expanding the number of the examination objects of the current examination according to the number of the examination objects of the current examination and the number of the examination objects of the reference examination, obtaining the expanded examination, and determining the distribution condition of the examination results of the expanded examination.
In this embodiment, the number of the assessment objects of the current assessment is smaller than that of the reference assessment, that is, the number of the assessment objects of the current assessment is smaller than that of the reference assessment, although the number of the assessment objects of the reference assessment is not necessarily identical to that of the assessment objects to be predicted, the number of the assessment objects of the reference assessment is identical to that of the assessment level to be predicted, so that in this embodiment, the assessment result distribution condition prediction of the assessment to be predicted can be performed based on the analysis of the current assessment and the reference of the reference assessment.
Specifically, the embodiment expands the number of the checking objects currently checked to the number of the checking objects of the reference checking, so that the local to global popularization is realized, the difference of the number of the checking objects between the current checking and the checking to be predicted is reduced, and the influence of the difference of the number of the checking objects on the prediction result of the distribution condition of the checking result is eliminated.
In this embodiment, the number of the currently-checked check objects is extended by referencing the number of the checked objects to be checked, and the number of the checked objects after extension is the same as the number of the checked objects to be checked by referencing and is in the same order of magnitude as the number of the checked objects to be checked to be predicted.
Further, when it is determined that there is a distribution condition of the assessment result of the current assessment, S120 may be implemented by the following steps:
a1, determining the distribution condition of the assessment results of the current assessment;
a2, determining an expansion proportion according to the number of the currently checked check objects and the number of the reference checked check objects;
and A3, expanding the number of the examination objects corresponding to each examination result of the current examination according to the expansion proportion to obtain the distribution condition of the examination results of the examination after expansion.
The embodiment provides a mode for predicting the assessment result distribution condition of the assessment to be predicted by analyzing the current assessment result distribution condition when the assessment result distribution condition exists in the current assessment. Specifically, when the current assessment has the assessment result distribution condition, the number of assessment objects corresponding to each assessment result of the current assessment is known at the moment, so that the number of assessment objects corresponding to each assessment result of the current assessment is expanded according to the ratio of the number of assessment objects of the current assessment to the number of assessment objects of the reference assessment, and the assessment after expansion is obtained.
Taking the current examination as an example, if the number of the examination objects in the current examination is 100, and the number of the examination objects in the reference examination is 10000, the expansion ratio is 100 times, and the number of the examination objects corresponding to each examination result in the current examination is increased by 100 times at the same time, so that the expanded examination is obtained. For example, the current assessment results are 43 minutes at the minimum and 100 minutes at the maximum, the number of people corresponding to each score value is multiplied by 100 times, for example, the number of 60 people is 3, and 300 people are obtained by multiplying by 100 times, namely the number of assessment objects corresponding to the assessment results (60 minutes) after the assessment is expanded.
Further, step A1 may further include: if the current assessment result distribution condition is determined to be the target assessment result distribution condition, interpolation processing is carried out according to the target assessment result distribution condition to obtain the assessment result distribution condition; the number of the target assessment results is smaller than the total number of the assessment results.
In this embodiment, if the current examination result distribution situation includes only a part of known information, taking the current examination as an example, for example, the number of examination objects corresponding to the highest score, the lowest score, the average score, the median score, the mode and the like is known. At this time, taking part of the assessment results of the known information as target assessment results, and carrying out interpolation processing according to the distribution situation of the target assessment results, namely the number of assessment objects corresponding to the target assessment results, so as to obtain the complete distribution situation of each assessment result. The interpolation processing may be piecewise conformal interpolation, or the like, but the embodiment does not limit the specific manner of interpolation processing.
Further, when it is determined that there is no current assessment result distribution condition and only a corresponding assessment result threshold exists, S120 may be implemented by the following steps:
B1, determining the number of the assessment objects to be assessed after expansion according to the number of the assessment objects to be assessed by reference;
and B2, determining the assessment result distribution situation of the extended assessment according to the assessment result distribution situation of the reference assessment.
The embodiment provides a mode for predicting the distribution condition of the examination result to be predicted by analyzing the distribution condition of the current examination result when the distribution condition of the examination result does not exist in the current examination and only the corresponding threshold value of the examination result exists. Specifically, according to the distribution condition of the assessment results of the reference assessment, determining the number of the assessment objects corresponding to each assessment result when the number of the assessment objects of the assessment after expansion is the same as the number of the assessment objects of the reference assessment.
In this embodiment, when the current assessment does not have an assessment result distribution situation, the number of assessment objects and the assessment result distribution situation of the extended assessment are determined directly according to the number of assessment objects and the assessment result distribution situation of the reference assessment.
S130, adjusting the assessment result distribution situation of the extended assessment according to the assessment result threshold value of the extended assessment, the assessment result threshold value of the reference assessment and the assessment result distribution situation of the reference assessment.
In this embodiment, after the current assessment is extended, the assessment result threshold remains unchanged, but the number of assessment objects corresponding to each assessment result is extended, and the number of assessment objects corresponding to each assessment result (i.e., the distribution situation of the assessment results of the extended assessment) needs to be adjusted, so that the ranking of the assessment objects corresponding to the assessment result threshold after the extension is the same as or similar to the ranking of the assessment objects corresponding to the assessment result threshold of the reference assessment.
Further, S130 may further include:
c1, determining a first assessment result which is larger than or equal to an assessment result threshold value of the assessment after expansion in each assessment result of the assessment after expansion, and determining a first sum of the number of assessment objects corresponding to the first assessment result;
c2, determining a second assessment result which is larger than or equal to an assessment result threshold value of the reference assessment in each assessment result of the reference assessment, and determining a second sum of the number of assessment objects corresponding to the second assessment result;
and C3, adjusting the number of the examination objects corresponding to each examination result after the expansion of the examination until the absolute value of the difference value between the first sum and the second sum is smaller than or equal to a preset difference value threshold.
Specifically, for the post-expansion assessment, taking an assessment result which is greater than or equal to the assessment result threshold value of the post-expansion assessment as a first assessment result, adding the number of assessment objects corresponding to each first assessment result to obtain a first sum, wherein the first sum is the assessment object ranking corresponding to the assessment result threshold value of the post-expansion assessment. Similarly, for the reference assessment, taking an assessment result which is greater than or equal to the assessment result threshold of the reference assessment as a second assessment result, adding the number of assessment objects corresponding to each second assessment result to obtain a second sum, wherein the second sum is the assessment object ranking corresponding to the assessment result threshold of the reference assessment.
In this embodiment, the number of the assessment objects corresponding to each assessment result after the extension is adjusted until the ranking of the assessment objects corresponding to the assessment result threshold value of the assessment after the extension is the same as or similar to the ranking of the assessment objects corresponding to the assessment result threshold value of the reference assessment. Specifically, the number of the assessment objects corresponding to each assessment result after the expansion may be increased or decreased according to a preset step length, and the specific increase or decrease needs to be determined according to an initial size relationship between the first sum and the second sum, for example, if the first sum is greater than the second sum, the number of the assessment objects corresponding to each first assessment result needs to be decreased. The step size may be an adjustment amplitude when the number of the examination objects is adjusted for each examination result, and exemplary step sizes may be 1, 3, 5, and the like.
Further, when the assessment result distribution situation of the assessment after expansion is determined and obtained according to the assessment result distribution situation of the current assessment, C3 may be further implemented by the following steps:
c31, if the number of times of adjusting the number of the examination objects corresponding to each examination result after the expansion is larger than or equal to a preset number of times threshold, adjusting the first sum of the numbers of the examination objects corresponding to the first examination result after the expansion into a second sum;
and C32, determining an adjustment ratio according to the first sum and the second sum, and adjusting the number of the examination objects corresponding to each examination result of the expanded examination according to the adjustment ratio.
In this embodiment, there are two determination methods for the distribution of the assessment results after the expansion: when the current assessment result distribution condition exists, expanding the current assessment result distribution condition, and when the current assessment result distribution condition does not exist, determining according to the reference assessment result distribution condition. When there is a current assessment result distribution situation, that is, when the assessment result distribution situation after the expansion is determined and obtained according to the current assessment result distribution situation, the technical scheme of the embodiment is adopted to limit the adjustment times of the number of assessment objects. And under the condition that the distribution condition of the checking result of the current checking does not exist, the adjusting times are not limited.
Specifically, a frequency threshold is set, and when the number of adjustment times for adjusting the number of the examination objects corresponding to each examination result after the expansion is greater than or equal to the frequency threshold, the sample integrity of the current examination is considered to be greatly different from that of the reference examination, so that the distribution condition of each first examination result in the expansion and each second examination result in the reference examination is caused to be greatly different. And because the reference assessment is the assessment with the same grade as the assessment to be predicted, at this time, taking the distribution condition of each second assessment result of the reference assessment as the reference, directly adjusting the sum of the numbers of the assessment objects corresponding to each first assessment result after expansion to be the second sum, namely directly ranking the assessment objects corresponding to the assessment result threshold after expansion, adjusting the ranking to be the same as the assessment object ranking corresponding to the assessment result threshold of the reference assessment, and carrying out the same-proportion adjustment on the numbers of the assessment objects corresponding to the assessment results except the assessment result threshold in each assessment result after expansion.
S140, taking the adjusted assessment result distribution situation as the assessment result distribution situation of the assessment to be predicted.
In this embodiment, the adjusted assessment result distribution situation is directly used as an assessment result distribution situation prediction result of the assessment to be predicted.
Further, after the assessment result distribution situation prediction result of the assessment to be predicted is obtained, assessment object ranking prediction can be performed according to the assessment result distribution situation prediction result, specifically, according to the target assessment result of the target assessment object in the current assessment, the number and ranking of the assessment objects of the target assessment result in the assessment result distribution situation prediction result (that is, the sum of the number of the assessment objects corresponding to each assessment result of the target assessment result) are determined.
By taking the current examination as a simulation examination, referring to the examination and the examination to be predicted as the examination to be performed and the examination to be predicted to be performed next, fig. 2 provides a schematic diagram of the examination result distribution prediction result, and as shown in the figure, the examination result distribution prediction result is represented in the form of a numerical value-population curve, the number of examination objects corresponding to each score value in the examination result distribution prediction result is displayed, and the number and ranking of the people corresponding to the score value of the target examination object in the examination to be predicted are predicted according to the score value of the target examination object in the current examination.
According to the technical scheme, the current assessment results are obtained, the assessment results are distributed according to the current assessment, the reference assessment and the reference assessment results are obtained, the number of the current assessment is expanded according to the number of the current assessment and the number of the reference assessment, the assessment results are distributed according to the expanded assessment, the reference assessment and the reference assessment, and the assessment results are distributed according to the expanded assessment, the reference assessment and the assessment results are adjusted to obtain the assessment results to be predicted. The technical scheme of the embodiment can realize clear, visual and scientific assessment result distribution condition prediction for the subsequent assessment.
Example two
Fig. 3 is a flowchart of a method for determining an assessment result distribution situation provided by a second embodiment of the present invention, where a process of predicting an assessment result distribution situation of an assessment to be predicted is further embodied when two assessment result thresholds are provided on the basis of the foregoing embodiment.
As shown in fig. 3, the method includes:
S210, determining at least one assessment result threshold value of the current assessment, assessment result distribution conditions of the reference assessment and at least one assessment result threshold value of the reference assessment.
S220, expanding the number of the examination objects of the current examination according to the number of the examination objects of the current examination and the number of the examination objects of the reference examination, obtaining the expanded examination, and determining the distribution condition of the examination results of the expanded examination.
S230, adjusting the assessment result distribution situation of the extended assessment according to the assessment result threshold value of the extended assessment, the assessment result threshold value of the reference assessment and the assessment result distribution situation of the reference assessment.
The above embodiments have been described in the process of expanding the number of the test objects and the process of adjusting the distribution of the test results, and are not described in detail herein.
S240, respectively determining a first assessment result distribution situation after adjustment according to the first assessment result threshold value and a second assessment result distribution situation after adjustment according to the second assessment result threshold value.
The first examination result threshold value is larger than the second examination result threshold value.
In this embodiment, a method for predicting an assessment result distribution situation of an assessment to be predicted when the assessment result threshold includes two is described. The assessment result threshold is used for dividing the assessment results, and when the first assessment result threshold and the second assessment result threshold exist, each assessment result is divided into three sections: an assessment result greater than or equal to the first assessment result threshold, an assessment result less than the first assessment result threshold and greater than or equal to the second assessment result threshold, and an assessment result less than the second assessment result threshold.
In this embodiment, according to the first and second assessment result thresholds, respectively, the adjusted assessment result distribution situation is determined according to the steps of S210-S230, and then the two adjusted assessment result distribution situations are fused.
S250, determining the middle-period examination result distribution condition to be predicted according to the distribution condition of each examination result, which is smaller than the first examination result threshold and larger than or equal to the second examination result threshold, in the first examination result distribution condition and the distribution condition of each examination result, which is smaller than the first examination result threshold and larger than or equal to the second examination result threshold, in the second examination result distribution condition.
In this embodiment, for each assessment result greater than or equal to the first assessment result threshold, the distribution situation of the assessment result greater than or equal to the first assessment result threshold after adjustment according to the first assessment result threshold may be directly referred to, and the prediction result of the distribution situation of each assessment result greater than or equal to the first assessment result threshold may be determined. Similarly, for each assessment result smaller than the second assessment result threshold, the distribution situation of the assessment result smaller than the second assessment result threshold after being adjusted according to the second assessment result threshold can be directly referred to, and the distribution situation prediction result of each assessment result smaller than the second assessment result threshold can be determined.
For the middle segment smaller than the first assessment result threshold and larger than or equal to the second assessment result threshold, the middle segment prediction result in the first assessment result distribution case and the middle segment prediction result in the second assessment result distribution case are integrated to determine in the embodiment.
Specifically, if the deviation between the intermediate segment prediction result in the first assessment result distribution case and the intermediate segment prediction result in the second assessment result distribution case is smaller, the intermediate segment prediction result in the first assessment result distribution case or the intermediate segment prediction result in the second assessment result distribution case may be directly adopted, which is not limited in this embodiment. If the deviation between the middle segment predicted result in the first assessment result distribution situation and the middle segment predicted result in the second assessment result distribution situation is larger, interpolation processing is performed on the middle segment predicted result in the first assessment result distribution situation and the middle segment predicted result in the second assessment result distribution situation, for example, spline interpolation processing can be adopted, and the predicted result of the middle segment assessment result distribution situation is obtained. The deviation between the middle segment predicted result in the first assessment result distribution situation and the middle segment predicted result in the second assessment result distribution situation can be calculated when the assessment result distribution situation is represented by the assessment result-assessment object quantity curve, and when the calculated deviation is smaller than or equal to a preset deviation threshold value, the deviation is considered smaller, otherwise, the deviation is considered larger.
S260, determining the assessment result distribution situation of the assessment to be predicted according to the distribution situation of each assessment result, which is greater than or equal to the first assessment result threshold, in the first assessment result distribution situation, the distribution situation of each assessment result, which is less than the second assessment result threshold, in the second assessment result distribution situation, and the middle section assessment result distribution situation.
In this embodiment, two assessment result thresholds are taken as examples to perform assessment result distribution situation prediction, and when the number of the assessment result thresholds is multiple, the same manner as that of the embodiment is adopted to perform assessment result distribution situation prediction according to each assessment result threshold, and fusion is performed on each intermediate section of assessment result distribution situation, so as to obtain a final assessment result distribution situation prediction result.
According to the technical scheme, when a plurality of assessment result thresholds exist, assessment result distribution situation prediction is conducted according to the assessment result thresholds, and fusion is conducted on the prediction results to obtain a final assessment result distribution situation prediction result. On the basis of the embodiment, the assessment result distribution condition prediction when a plurality of assessment result thresholds exist is further realized, and the accuracy and the scientificity of the assessment result distribution condition prediction are improved.
FIG. 4 is a flowchart showing an overall method for predicting the distribution of the assessment results, wherein when the current assessment data includes the distribution of the assessment results, whether the distribution of the assessment results is complete is judged, and if not, interpolation and other modes are adopted to complement the distribution of the assessment results. Expanding the current assessment result distribution situation to obtain an expanded assessment result distribution situation, and adjusting the expanded assessment result distribution situation according to the assessment object ranking corresponding to the expanded assessment result threshold and the assessment object ranking corresponding to the reference assessment result threshold until the difference between the assessment object ranking corresponding to the expanded assessment result threshold and the assessment object ranking corresponding to the reference assessment result threshold is smaller. It should be noted that, the adjustment process of the distribution situation of the assessment results has adjustment times limitation, if the adjustment times exceeds the preset times threshold, the ranking of the assessment objects corresponding to the assessment results threshold after the expansion is directly set as the ranking of the assessment objects corresponding to the assessment results threshold of the reference assessment, and the distribution situation of the assessment results of other assessment results after the expansion is correspondingly adjusted. And finally, taking the adjusted assessment result distribution situation of the expanded assessment as the assessment result distribution situation of the assessment to be predicted.
When the current assessment data does not comprise the assessment result distribution situation, directly taking the assessment result distribution situation of the reference assessment as the assessment result distribution situation of the assessment after extension, and likewise, adjusting the assessment result distribution situation of the assessment after extension according to the assessment object ranking corresponding to the assessment result threshold after extension and the assessment object ranking corresponding to the assessment result threshold of the reference assessment until the difference between the assessment object ranking corresponding to the assessment result threshold of the assessment after extension and the assessment object ranking corresponding to the assessment result threshold of the reference assessment is smaller, wherein the assessment result distribution situation of the assessment after extension after adjustment is taken as the assessment result distribution situation of the assessment to be predicted.
When two assessment result thresholds exist in the current assessment, two assessment result distribution conditions are obtained according to the two assessment result thresholds, and the two assessment result distribution conditions are fused to obtain the assessment result distribution condition to be predicted.
Example III
Fig. 5 is a schematic structural diagram of a determining device for evaluating a distribution situation of a result according to a third embodiment of the present invention. As shown in fig. 5, the apparatus includes:
a data determining module 310, configured to determine at least one assessment result threshold of the current assessment, an assessment result distribution situation of the reference assessment, and at least one assessment result threshold of the reference assessment;
The assessment object number expansion module 320 is configured to expand the number of assessment objects for the current assessment according to the number of assessment objects for the current assessment and the number of assessment objects for the reference assessment, obtain an expanded assessment, and determine an assessment result distribution situation of the expanded assessment;
the assessment result distribution condition adjustment module 330 is configured to adjust the assessment result distribution condition of the extended assessment according to the assessment result threshold value of the extended assessment, the assessment result threshold value of the reference assessment, and the assessment result distribution condition of the reference assessment;
the assessment result distribution determining module 340 is configured to take the adjusted assessment result distribution as the assessment result distribution of the assessment to be predicted.
According to the technical scheme, the current assessment results are obtained, the assessment results are distributed according to the current assessment, the reference assessment and the reference assessment results are obtained, the number of the current assessment is expanded according to the number of the current assessment and the number of the reference assessment, the assessment results are distributed according to the expanded assessment, the reference assessment and the reference assessment, and the assessment results are distributed according to the expanded assessment, the reference assessment and the assessment results are adjusted to obtain the assessment results to be predicted. The technical scheme of the embodiment can realize clear, visual and scientific assessment result distribution condition prediction for the subsequent assessment.
Based on the above embodiment, the examination object number expansion module 320 includes:
the current assessment result distribution condition determining unit is used for determining the current assessment result distribution condition;
the expansion proportion determining unit is used for determining the expansion proportion according to the number of the currently checked check objects and the number of the reference checked check objects;
the first extended assessment result distribution condition determining unit is used for extending the number of assessment objects corresponding to each assessment result of the current assessment according to the extension proportion to obtain the extended assessment result distribution condition.
On the basis of the above embodiment, the current assessment result distribution condition determining unit is specifically configured to:
if the current assessment result distribution condition is determined to be the target assessment result distribution condition, interpolation processing is carried out according to the target assessment result distribution condition to obtain the assessment result distribution condition;
the number of the target assessment results is smaller than the total number of the assessment results.
Based on the above embodiment, the assessment object number expansion module 320 further includes:
the assessment object number determining unit is used for determining the number of the assessment objects after the extension according to the number of the assessment objects subjected to the reference assessment;
The second extended assessment result distribution condition determining unit is used for determining the assessment result distribution condition of the extended assessment according to the assessment result distribution condition of the reference assessment.
Based on the above embodiment, the assessment result distribution situation adjustment module 330 includes:
the first sum determining unit is used for determining a first assessment result which is larger than or equal to an assessment result threshold value of the assessment after expansion in each assessment result of the assessment after expansion, and determining a first sum of the number of assessment objects corresponding to the first assessment result;
the second sum determining unit is used for determining a second assessment result which is larger than or equal to the assessment result threshold value of the reference assessment in each assessment result of the reference assessment, and determining a second sum of the number of assessment objects corresponding to the second assessment result;
and the assessment object quantity adjusting unit is used for adjusting the quantity of assessment objects corresponding to each assessment result after the assessment is expanded until the absolute value of the difference value between the first sum and the second sum is smaller than or equal to a preset difference value threshold.
On the basis of the above embodiment, when the assessment result distribution situation of the assessment after expansion is determined and obtained according to the assessment result distribution situation of the current assessment, the assessment object number adjustment unit is specifically configured to:
If the number of times of adjusting the number of the examination objects corresponding to each examination result after the expansion is determined to be greater than or equal to a preset number of times threshold, adjusting a first sum of the numbers of the examination objects corresponding to a first examination result after the expansion to a second sum;
and determining an adjustment proportion according to the first sum and the second sum, and adjusting the number of the examination objects corresponding to each examination result after the expansion of the examination according to the adjustment proportion.
On the basis of the above embodiment, the apparatus further includes:
the adjusted assessment result distribution condition determining module is used for respectively determining a first assessment result distribution condition adjusted according to the first assessment result threshold value and a second assessment result distribution condition adjusted according to the second assessment result threshold value if the assessment result threshold value is determined to comprise the first assessment result threshold value and the second assessment result threshold value;
the first assessment result threshold is larger than the second assessment result threshold;
the middle section examination result distribution condition determining module is used for determining the middle section examination result distribution condition to be predicted according to the distribution condition of each examination result, which is smaller than the first examination result threshold and larger than or equal to the second examination result threshold, in the first examination result distribution condition and the distribution condition of each examination result, which is smaller than the first examination result threshold and larger than or equal to the second examination result threshold, in the second examination result distribution condition;
The double-check result threshold value check result distribution condition determining module is used for determining the check result distribution condition to be predicted according to the distribution condition of each check result which is larger than or equal to the first check result threshold value in the first check result distribution condition, the distribution condition of each check result which is smaller than the second check result threshold value in the second check result distribution condition and the middle section check result distribution condition.
The device for determining the distribution condition of the examination result provided by the embodiment of the invention can execute the method for determining the distribution condition of the examination result provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
Example IV
Fig. 6 shows a schematic diagram of the structure of an electronic device 10 that may be used to implement an embodiment of the invention. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. Electronic equipment may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 6, the electronic device 10 includes at least one processor 11, and a memory, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, etc., communicatively connected to the at least one processor 11, in which the memory stores a computer program executable by the at least one processor, and the processor 11 may perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 may also be stored. The processor 11, the ROM 12 and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
Various components in the electronic device 10 are connected to the I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, etc.; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, an optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (central processor), a Graphics Processing Unit (GPU), various dedicated Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, digital Signal Processors (DSPs), and any suitable processor, controller, microcontroller, etc. The processor 11 performs the respective methods and processes described above, such as a determination method of the evaluation result distribution situation.
In some embodiments, the method of determining the distribution of the assessment results may be implemented as a computer program tangibly embodied on a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the electronic device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the above-described determination method of the examination result distribution case may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the method of determining the assessment result distribution situation in any other suitable way (e.g. by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for carrying out methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be implemented. The computer program may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) through which a user can provide input to the electronic device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical hosts and VPS service are overcome.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps described in the present invention may be performed in parallel, sequentially, or in a different order, so long as the desired results of the technical solution of the present invention are achieved, and the present invention is not limited herein.
The above embodiments do not limit the scope of the present invention. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the scope of the present invention.

Claims (10)

1. The method for determining the distribution condition of the examination result is characterized by comprising the following steps:
determining at least one assessment result threshold value of the current assessment, and at least one assessment result threshold value of the reference assessment, wherein the assessment result distribution condition of the reference assessment;
expanding the number of the examination objects of the current examination according to the number of the examination objects of the current examination and the number of the examination objects of the reference examination to obtain an expanded examination, and determining the distribution condition of the examination results of the expanded examination;
Adjusting the assessment result distribution condition of the extended assessment according to the assessment result threshold value of the extended assessment, the assessment result threshold value of the reference assessment and the assessment result distribution condition of the reference assessment;
and taking the adjusted assessment result distribution situation as the assessment result distribution situation to be predicted and assessed.
2. The method of claim 1, wherein expanding the number of the current assessment objects according to the number of the assessment objects of the current assessment and the number of the assessment objects of the reference assessment to obtain an expanded assessment, and determining an assessment result distribution condition of the expanded assessment, comprises:
determining the distribution condition of the checking result of the current checking;
determining an expansion proportion according to the number of the currently checked check objects and the number of the reference checked check objects;
according to the expansion proportion, the number of the examination objects corresponding to each examination result of the current examination is expanded, and the distribution condition of the examination results of the examination after expansion is obtained.
3. The method of claim 2, wherein determining the assessment result distribution for the current assessment comprises:
if the current assessment result distribution condition is determined to be the target assessment result distribution condition, interpolation processing is carried out according to the target assessment result distribution condition to obtain the assessment result distribution condition;
The number of the target assessment results is smaller than the total number of the assessment results.
4. The method of claim 1, wherein expanding the number of the current assessment objects according to the number of the assessment objects of the current assessment and the number of the assessment objects of the reference assessment to obtain an expanded assessment, and determining an assessment result distribution condition of the expanded assessment, comprises:
determining the number of the assessment objects after the expansion according to the number of the assessment objects of the reference assessment;
and determining the assessment result distribution condition of the extended assessment according to the assessment result distribution condition of the reference assessment.
5. The method of claim 2 or 4, wherein adjusting the assessment result distribution of the extended assessment based on the assessment result threshold of the extended assessment, the assessment result threshold of the reference assessment, and the assessment result distribution of the reference assessment comprises:
determining a first assessment result which is larger than or equal to an assessment result threshold value of the assessment after expansion in each assessment result of the assessment after expansion, and determining a first sum of the number of assessment objects corresponding to the first assessment result;
determining a second assessment result which is larger than or equal to an assessment result threshold value of the reference assessment in each assessment result of the reference assessment, and determining a second sum of the number of assessment objects corresponding to the second assessment result;
And adjusting the number of the examination objects corresponding to each examination result after the expansion of the examination until the absolute value of the difference value between the first sum and the second sum is smaller than or equal to a preset difference value threshold.
6. The method of claim 5, wherein when the assessment result distribution of the extended assessment is determined according to the assessment result distribution of the current assessment, adjusting the number of assessment objects corresponding to each assessment result of the extended assessment until the absolute value of the difference between the first sum and the second sum is less than or equal to a preset difference threshold, comprising:
if the number of times of adjusting the number of the examination objects corresponding to each examination result after the expansion is determined to be greater than or equal to a preset number of times threshold, adjusting a first sum of the numbers of the examination objects corresponding to a first examination result after the expansion to a second sum;
and determining an adjustment proportion according to the first sum and the second sum, and adjusting the number of the examination objects corresponding to each examination result after the expansion of the examination according to the adjustment proportion.
7. The method according to claim 1, characterized in that the method further comprises:
if the assessment result threshold value is determined to comprise a first assessment result threshold value and a second assessment result threshold value, respectively determining a first assessment result distribution situation after adjustment according to the first assessment result threshold value and a second assessment result distribution situation after adjustment according to the second assessment result threshold value;
The first assessment result threshold is larger than the second assessment result threshold;
determining the middle-period examination result distribution condition to be predicted according to the distribution condition of each examination result in the first examination result distribution condition, which is smaller than the first examination result threshold and larger than or equal to the second examination result threshold, and the distribution condition of each examination result in the second examination result distribution condition, which is smaller than the first examination result threshold and larger than or equal to the second examination result threshold;
and determining the assessment result distribution condition to be predicted according to the distribution condition of each assessment result, which is greater than or equal to the first assessment result threshold, in the first assessment result distribution condition, the distribution condition of each assessment result, which is less than the second assessment result threshold, in the second assessment result distribution condition, and the middle section assessment result distribution condition.
8. The device for determining the distribution condition of the examination result is characterized by comprising the following components:
the data determining module is used for determining at least one assessment result threshold value of the current assessment, the assessment result distribution condition of the reference assessment and at least one assessment result threshold value of the reference assessment;
the assessment object number expansion module is used for expanding the number of the assessment objects of the current assessment according to the number of the assessment objects of the current assessment and the number of the assessment objects of the reference assessment, obtaining an expanded assessment, and determining the assessment result distribution condition of the expanded assessment;
The assessment result distribution condition adjustment module is used for adjusting the assessment result distribution condition of the extended assessment according to the assessment result threshold value of the extended assessment, the assessment result threshold value of the reference assessment and the assessment result distribution condition of the reference assessment;
the assessment result distribution condition determining module is used for taking the adjusted assessment result distribution condition as the assessment result distribution condition of the assessment to be predicted.
9. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method for determining the distribution of assessment results according to any one of claims 1 to 7 when executing the program.
10. A storage medium storing computer executable instructions which, when executed by a computer processor, are adapted to carry out a method of determining a distribution of assessment results as claimed in any one of claims 1 to 7.
CN202311710858.2A 2023-12-12 2023-12-12 Assessment result distribution condition determining method and device, electronic equipment and medium Pending CN117670137A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311710858.2A CN117670137A (en) 2023-12-12 2023-12-12 Assessment result distribution condition determining method and device, electronic equipment and medium

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311710858.2A CN117670137A (en) 2023-12-12 2023-12-12 Assessment result distribution condition determining method and device, electronic equipment and medium

Publications (1)

Publication Number Publication Date
CN117670137A true CN117670137A (en) 2024-03-08

Family

ID=90080673

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311710858.2A Pending CN117670137A (en) 2023-12-12 2023-12-12 Assessment result distribution condition determining method and device, electronic equipment and medium

Country Status (1)

Country Link
CN (1) CN117670137A (en)

Similar Documents

Publication Publication Date Title
CN115378859B (en) Method, apparatus, device, medium and product for determining limit state information
CN115358411A (en) Data processing method, device, equipment and medium
CN116090605A (en) Pipe network early warning method and device, electronic equipment and storage medium
CN116049146A (en) Database fault processing method, device, equipment and storage medium
CN116594563A (en) Distributed storage capacity expansion method and device, electronic equipment and storage medium
CN117670137A (en) Assessment result distribution condition determining method and device, electronic equipment and medium
CN116938953A (en) Block chain-based data processing method and device, electronic equipment and storage medium
CN116431505A (en) Regression testing method and device, electronic equipment, storage medium and product
CN115599687A (en) Method, device, equipment and medium for determining software test scene
CN115509931A (en) System-based performance test method and device, electronic equipment and storage medium
CN113486229B (en) Control method and device for grabbing pressure, electronic equipment and readable storage medium
CN115293096B (en) Line generation method, device, electronic equipment and storage medium
CN113591088B (en) Identification recognition method and device and electronic equipment
CN116302661B (en) Abnormality prediction method and device, electronic equipment and storage medium
CN115905021B (en) Fuzzy test method and device, electronic equipment and storage medium
CN116931083A (en) Determination method of azimuth angle gather division scheme
CN117540698A (en) SRAM selection method, device, equipment and medium with variable weight
CN116185818A (en) Code testing method and device, electronic equipment and storage medium
CN116662194A (en) Software quality measurement method, device, equipment and medium
CN115146379A (en) Simulation scene evaluation method and device, electronic equipment and storage medium
CN116911466A (en) Method, device, equipment and medium for determining park construction degree
CN117648249A (en) Method and device for determining distributed system options, electronic equipment and storage medium
CN117829395A (en) Method, device, equipment and storage medium for predicting inventory gas quantity of gas storage layer
CN117805765A (en) Method, device, equipment and storage medium for determining constant false alarm detection threshold
CN117271882A (en) Multi-target fusion processing method and device, electronic equipment and storage medium

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination