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While this model is not as good as SimBoost in terms of prediction performance, it has the advantage of quantifying the confidence of the predicted value.
In terms of prediction, the preliminary scorecard does not look good for Messrs Kubrick and Clarke.
The assessment is done in terms of prediction quality, complexity, and coding performance.
This eventually undermines the reliability of the published results in terms of prediction performance.
It outperforms a set of 13 contemporary blockiness methods in terms of prediction accuracy and monotonicity.
It performs well, in terms of prediction results, computation and processing time.
Initially, recommender systems were mostly evaluated in terms of prediction accuracy [16].
In terms of prediction performance, the less time it takes, the better.
In terms of prediction skill the model produced excellent AUC values being on average 0.909.
In terms of prediction, the performance of ANN was poor because data normalization was not conducted.
In both cases, the results, in terms of prediction errors, are satisfactory.
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