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ImageNet: what is top-1 and top-5 error rate? - Cross Validated
WEBJun 11, 2015 · In the case of the top-5 score, you check if the target label is one of your top 5 predictions (the 5 ones with the highest probabilities). In both cases, the top score is computed as the number of times a predicted label matched the target label, divided by the number of data points evaluated.
Stats.stackexchange.comWhat is the definition of Top-n accuracy? - Cross Validated
WEBApr 27, 2014 · Top-N accuracy means that the correct class gets to be in the Top-N probabilities for it to count as “correct”. As an example, suppose I have a data set of images and the images are a: For each of these input images, the model will predict a corresponding class. The Top-1 accuracy for this is (5 correct out of 8), 62.5%.
Stats.stackexchange.com"-iles" terminology for the top half a% - Cross Validated
WEB10. The general term for these segments is 'quantile', i.e. the top 0.005 quantile is the data segment you are looking for. Quantiles are in a range of [0, 1]. We have separate names for the notable/frequently used quantiles (terciles, quartiles, percentiles, etc.), but we don't have one for the rest.
Stats.stackexchange.com什么是图像分类的Top-5错误率？ - 知乎
WEBTop-5 错误率是 ILSVRC 比赛所引入的一种评价指标，以上是其官网给出的定义。对每一张图片做出五个预测，其中正确标签（存在且唯一）不在所得五个预测中视为预测错误，预测错误样本在测试集中的占比即为 Top-5 错误率。 计算步骤
Zhihu.comWhat do you call an average that does not include outliers?
WEBThe "average" you're talking about is actually called the "mean". It's not exactly answering your question, but a different statistic which is not affected by outliers is the median, that is, the middle number. {90,89,92,91,5} mean: 73.4. {90,89,92,91,5} median: 90. This might be useful to you, I dunno.
Stats.stackexchange.comPlotting top 5 most frequent factors using R - Cross Validated
WEBPlotting top 5 most frequent factors using R. Ask Question Asked 13 years, 2 months ago.
Stats.stackexchange.comr lme4-nlme lsmeans - Cross Validated
WEBFeb 6, 2015 · $\begingroup$ Thank you so much @rvl for the thorough answer! Am I correct that although the output from pairs() and lstrends() suggest that the Contour factor levels do not vary at different values of P and do not have significantly different levels (alpha = 0.05), respectively, the plot from lsmip() illustrates quite starkly that Slope has a much different …
Stats.stackexchange.comTrick to remember when to reject null (p-values vs alpha)
WEBDec 21, 2020 · In particular, while the rule is. we reject the null hypothesis at significance level α α when p value is less than α α. they many times interpret it the opposite. Say, if p value is 0.04, they say "we reject at 1% but not at 5%". On one level, it is about the deeper understanding, which might be my fault as a teacher.
Stats.stackexchange.comr - How to interpret anova(model, test = “Chisq”) for logistic
WEBOct 7, 2021 · Hannah. 2. The tests in the summary () output are marginal tests but the ones from anova.glm are sequential (hence the message given. I think the "Details" section from package car function Anova() is a good basic background on different types of tests and that function may be a good option for you to get the overall tests you want.
Stats.stackexchange.comdescriptive statistics -%ile vs quantile vs quartile - Cross
WEBJun 13, 2015 · The only 2-quantile is called the median The 3-quantiles are called tertiles or terciles → T The 4-quantiles are called quartiles → Q The 5-quantiles are called quintiles → QU The 6-quantiles are called sextiles → S The 8-quantiles are called octiles → O (as added by @NickCox - now on wiki page also) The 10-quantiles are called deciles → D …
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