predictive model learning
[/prɪˈdɪktɪv ˈmɒdəl ˈlɜːrnɪŋ/]
noun
aprendizagem de modelo preditivo
1. A machine learning process where algorithms are trained on historical data to make predictions about future outcomes or events
The company implemented predictive model learning to forecast customer churn rates.
A empresa implementou aprendizagem de modelo preditivo para prever as taxas de abandono de clientes.
2. The computational technique of developing statistical models that can estimate the probability of future events based on patterns in training data
Predictive model learning requires careful feature selection and data preprocessing.
A aprendizagem de modelo preditivo requer uma seleção cuidadosa de características e pré-processamento de dados.
3. The iterative process of refining predictive algorithms through validation and testing to improve accuracy
Through predictive model learning, the algorithm achieved 95% accuracy in predicting disease outcomes.
Por meio da aprendizagem de modelo preditivo, o algoritmo alcançou 95% de precisão na previsão de resultados de doenças.
This is a highly technical term primarily used in technology, data science, and artificial intelligence sectors. In Brazil, it's increasingly common in tech startups (startups de tecnologia) and major technology companies. Both English and Portuguese versions are used interchangeably in professional contexts, though the Portuguese translation is preferred in academic and formal technical documentation. The field has grown significantly with Brazil's digital transformation initiatives.
Related Idioms & Phrases
training data is key to predictive model learning
garbage in, garbage out (in context of predictive model learning)
learning curve of predictive model learning
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