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of positive is correctly judged, TPR=TPTP+FN Tpr=\frac {TP} {TP+FN}. FPR: In all samples that are actually negative, the ratio of positive is wrongly judged, Fpr=fpfp+tn Fpr=\frac {FP} {fp+tn}. 1.2 Precision, recall and F1 Another common evaluation indicator for two classification problems is the accuracy rate (precision) and recall (recall) and F1 values. The accuracy rate is expressed as the percentage o

This article by Ruby-china a post "by the decimal point of precision problem lead to design problems" lead, the post is also my hair, in view of the reply when learned a lot of content, have a little sentiment, so want to sum up. First declare the programming language selected in this article is Ruby and the operating environment is Ubuntu. In the preparation of finance, E-commerce and other applications, often encounter decimals, decimal multiplica

This article mainly introducesLinuxLow PrecisionTimeFunction, and related functions with a timeout mechanism.TimerIt also gives a brief introduction. In linux, the most accurate time interface is gettimeofday. It returns a timeval structure with the precision of us (10-6 seconds). In most cases, this precision is enough. However, sometimes we need to explore the time calls provided by Linux for us for highe

Original link http://bookshadow.com/weblog/2014/06/10/precision-recall-f-measure/Below is a brief list of several commonly used recommended system evaluation indicators:1. Accuracy rate and Recall rate (Precision Recall) accuracy and recall rates are widely used in the field of information retrieval and statistical classification of two measures to evaluate the quality of the results. The accuracy is t

In Oracle, the Number type can be used to store 0, positive, negative, or floating point numbers. The data range can be 1.0*10 (-130) mdash; 9. 9... 9*10 (125) In Oracle, the Number type can be used to store 0, positive, negative, or floating point numbers. The data range can be 1.0*10 (-130) mdash; 9. 9... 9*10 (125) In Oracle, the Number type can be used to store 0, positive, negative, or floating point numbers. The data range can be 1.0*10 (-130) -- 9. 9... 9*10 (125) {38 9 followed by

In Oracle, the Number type can be used to store 0, positive, negative, or floating point numbers. The data range can be 1.0*10 (-130) -- 9. 9... 9*10 (125) {38 9 followed by 88 0} digits. When the value of the mathematical expression in Oracle is greater than or equal to 1.0*10 (126, oracle Reports an error. The data declaration of Number is as follows: Description Number (p, s) declares a fixed point p (precision) as the

This article mainly introduces the JS long integer precision problem. The example analyzes the long integer precision problem and the corresponding solution of the Java project combined with the front-end js script, which has some reference value, for more information about JS long integer precision, see the example in this article. Share it with you for your ref

High-precision operation is an important algorithm of information science. This algorithm is calculated using multiple storage units, so it is more computationally scoped than a typical storage unit. It is also a frequently-tested topic in some informatics competitions.The high-precision operation mainly has the following several steps:1, read the string, converted to a number in reverse chronological stora

Recall (recall rate); Precision (accuracy rate); F1-meature (Comprehensive evaluation index); These parameters are often used in information retrieval (such as search engines), natural language processing, and detection classifications.Precision: The percentage of information that is detected that is correct or relevant ( that is, what you want)(Number of positive samples predicted as a proportion of the total sample);Recall: The proportion of all cor

Test instructions: There are two boxes each with n sugars, randomly selected one at a time (probability is p,1-p), and then eaten, until one time, you open the box to find, no sugar!Enter N,p to find the mathematical expectation of the number of sugars in the other box.Analysis: First do not say this problem more pits, the first to use a long double to achieve high precision, I first use the double has WA, and later looked at the puzzle is a long doub

Json_decode is a long integer with a loss of precision. why is the tid precision lost in the following php conversion process of windowxp? the last four digits, 6788 digits, are changed to 7000. why? Str { quot; receiver_address quot;: quot; Suining city, Sichuan province quot;, quot; receiver_city quot;: quot; Suining City quot;, quot; json_decode long integer, loss of

Improve the efficiency of high-precision operations • The high-precision storage method above is used to represent a large number with an integer array, and each number in the array represents a decimal digit. However, the disadvantage of this approach is that if the number of decimal digits is large, the corresponding array length will be long and the time for high-pre