Predicting Phase 1 Lymphoma Clinical Trial Durations Using Machine Learning: An In-Depth Analysis and Broad Application Insights.

An interesting trend emerges: while there is a positive correlation between training size and accuracy, the incremental gains in accuracy diminish as the dataset size increases.

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The data show an increasing trend: the average duration rises with higher predicted probabilities.

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There was a clear trend: trials with higher predicted probabilities tended to have longer average durations.

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