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Our results reveal that the classification from the KNN model is more accurately representative of the state of the current crop field in 2017 than the ground truth classification data from 2015. However, Landsat 8 lower-resolution imagery could have been used as a bridge between 2015 and 2017.
loc[tabular_competition_ids]tabular_competitions.describe()[["RewardQuantity","TotalTeams"]] Code output Over the last decade, Kaggle has hosted numerous competitions centered around tabular data, with several since 2015 offering cash prizes of up to $100,000 for the winning team. The dataset is under Apache 2.0,
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