predictive
US /prɪˈdɪktɪv/
・UK /prɪˈdɪktɪv/
B1
adj.AdjectiveMaking a guess based on previous experience
That woman's predictive abilities are not to be trusted because she is wrong most of the time
Video subtitles
AI for Business Tip - Use GenAI to prep for negotiations
- Predictive analytics: my favorite aspect of using AI to prepare for a negotiation is its ability to make predictive insights.
Predictive analytics: my favorite aspect of using AI to prepare for a negotiation is its ability to make predictive insights.
- Predictive analytics.
Predictive analytics.
The Rise of AI in Factories
- Augury isn't the only company doing predictive maintenance.
Augury isn't the only company doing predictive maintenance.
- Augury isn't the only company doing predictive maintenance.
Augury isn't the only company doing predictive maintenance.
Want female friends? Dress like a tomboy so they don't feel threatened, says study
- And given the predictive nature of friendships turning into romantic relationships, and in some cases, male partners leaving the romantic partner for a female friend, it's unsurprising that women are typically wary of other women who prefer to have male friendships, which unfortunately offers us an explanation as to why these women are, like, facing aggression and ostracization from their female peers.
And given the predictive nature of friendships turning into romantic relationships, and in some cases, male partners leaving the romantic partner for a female friend, it's unsurprising that women are typically wary of other women who prefer to have male friendships, which unfortunately offers us an explanation as to why these women are, like, facing aggression and ostracization from their female peers.
- And given the predictive nature of friendships turning into romantic relationships,
And given the predictive nature of friendships turning into romantic relationships,
Comparison of milk L-lactate concentration and the California Mastitis Test in identifying...
- And we used the foremilk or the cisternal milk, which around—which—which—which—uh—that we collected the milk samples within 50 seconds from touching the other because the foremilk or the cisternal milk is considered the most predictive fraction of the milk used for the diagnosis of subclinical mastitis.
And we used the foremilk or the cisternal milk, which around—which—which—which—uh—that we collected the milk samples within 50 seconds from touching the other because the foremilk or the cisternal milk is considered the most predictive fraction of the milk used for the diagnosis of subclinical mastitis.
- Because the four milk or the cisternal milk is considered the most predictive fraction of the milk used for diagnosis of subclinical mastitis.
Because the four milk or the cisternal milk is considered the most predictive fraction of the milk used for diagnosis of subclinical mastitis.
老化生物学者だけど「加齢について」質問ある？ | Tech Support | WIRED Japan
- What are the most predictive determinants of aging, the biochemical properties of cells or biophysical ones?" For that, I would argue that actually the hallmark that I study, epigenetic modifications, is probably the most predictive as of right now.
What are the most predictive determinants of aging, the biochemical properties of cells or biophysical ones?" For that, I would argue that actually the hallmark that I study, epigenetic modifications, is probably the most predictive as of right now.
- What are the most predictive determinants of aging?
What are the most predictive determinants of aging?
Cell Instance Segmentation for Automated quantifcation of HER2 amplification levels
- Quantitative results the proposed cell instance segmentation model outperforms 10 baseline models in F1 score on the FISH breast cancer dataset and seven baseline models in F1 score on THE DISH breast cancer dataset while also showing promising predictive results on the DISH stomach cancer dataset.
Quantitative results the proposed cell instance segmentation model outperforms 10 baseline models in F1 score on the FISH breast cancer dataset and seven baseline models in F1 score on THE DISH breast cancer dataset while also showing promising predictive results on the DISH stomach cancer dataset.
- Quantitative results: the proposed cell instance segmentation model outperforms 10 baseline models in F1 score on the fish breast cancer dataset and 7 baseline models in F1 score on the dish breast cancer dataset, while also showing promising predictive results on the dish stomach cancer dataset.
Quantitative results: the proposed cell instance segmentation model outperforms 10 baseline models in F1 score on the fish breast cancer dataset and 7 baseline models in F1 score on the dish breast cancer dataset, while also showing promising predictive results on the dish stomach cancer dataset.
What the Heck is Palantir’s Ontology?
- Predictive models become more accurate when they're based on well-defined objects and relationships.
Predictive models become more accurate when they're based on well-defined objects and relationships.
- Predictive models become more accurate when they're based on well-defined objects and relationships.
Predictive models become more accurate when they're based on well-defined objects and relationships.
What is grit
- Let me start off by saying that in our research studies, for many outcomes like finishing West Point, grit actually is more predictive than IQ or SAT scores.
Let me start off by saying that in our research studies, for many outcomes like finishing West Point, grit actually is more predictive than IQ or SAT scores.
- But I think the real question is not, "Oh, which is more important or more predictive?" What it really is important to do is to highlight the undervalued role of effort.
But I think the real question is not, "Oh, which is more important or more predictive?" What it really is important to do is to highlight the undervalued role of effort.
Logistic regression
- Evaluating binary classification performance: If the estimated probabilities are to be used to classify each observation of independent variable values as predicting the category that the dependent variable is found in, the various methods below for judging the model's suitability and out-of-sample forecasting can also be used on the data that were used for estimation a euro accuracy, precision, recall, specificity and negative predictive value.
Evaluating binary classification performance: If the estimated probabilities are to be used to classify each observation of independent variable values as predicting the category that the dependent variable is found in, the various methods below for judging the model's suitability and out-of-sample forecasting can also be used on the data that were used for estimation a euro accuracy, precision, recall, specificity and negative predictive value.
- estimation—accuracy, precision, recall, specificity and negative predictive value.
estimation—accuracy, precision, recall, specificity and negative predictive value.
黃仁勳談數據處理與生成式AI的未來
- Maybe it's even more predictive in the sense that, proactive in the sense that, before a problem even arises, you reach out to the customer and say, you know, this thing is about to expire, or we notice that you're still using this version, or whatever it is, and you reach out to the customer and proactively solve a problem.
Maybe it's even more predictive in the sense that, proactive in the sense that, before a problem even arises, you reach out to the customer and say, you know, this thing is about to expire, or we notice that you're still using this version, or whatever it is, and you reach out to the customer and proactively solve a problem.
- Maybe it's even more predictive in the sense that proactive in the sense that, uh, before a problem even arises, you reach out to the customer and say, you know, "This thing is about to expire," or, um, "We noticed that you're still using this version," or whatever it is.
Maybe it's even more predictive in the sense that proactive in the sense that, uh, before a problem even arises, you reach out to the customer and say, you know, "This thing is about to expire," or, um, "We noticed that you're still using this version," or whatever it is.