Sentences with PREPROCESSED
Check out our example sentences below to help you understand the context.Sentences
1
"The preprocessed data was used for training the machine learning model."
2
"The preprocessed image was ready for analysis."
3
"The preprocessed text was fed into the natural language processing algorithm."
4
"The preprocessed audio file had noise reduction applied to it."
5
"The preprocessed video had frames resized for better performance."
6
"The preprocessed dataset contained cleaned and transformed data."
7
"The preprocessed signals were ready for further analysis."
8
"The preprocessed sensor readings were used to detect anomalies."
9
"The preprocessed genetic data was used in the sequencing analysis."
10
"The preprocessed financial data was used to predict market trends."
1
"The data needs to be preprocessed before it can be analyzed."
2
"The preprocessed images were used in the classification model."
3
"After being preprocessed, the text was ready for feature extraction."
4
"The preprocessed audio files were ready for transcription."
5
"The preprocessed data was cleaned and normalized."
6
"The preprocessed video footage was ready for editing."
7
"The preprocessed input was fed into the neural network."
8
"The preprocessed dataset was split into training and testing sets."
9
"The preprocessed sensor data was used for anomaly detection."
10
"The preprocessed input was normalized to zero mean."
11
"The preprocessed data was transformed into a different format."
12
"The preprocessed images were compressed to reduce file size."
13
"The preprocessed text was tokenized for linguistic analysis."
14
"The preprocessed audio was enhanced for better quality."
15
"The preprocessed dataset was ready for statistical analysis."
1
"The data needs to be preprocessed before training the machine learning model."
2
"The images were preprocessed to enhance their quality."
3
"The text was preprocessed to remove any unnecessary characters or symbols."
4
"The raw audio files were preprocessed to extract useful features."
5
"The documents were preprocessed to remove stop words and punctuation."
6
"The input data was preprocessed to normalize its values."
7
"The sensor readings were preprocessed to remove outliers."
8
"The video footage was preprocessed to reduce noise."
9
"The satellite imagery was preprocessed to correct for atmospheric distortions."
10
"The customer reviews were preprocessed to extract sentiment information."
