Sentence examples for datasets and the performance from inspiring English sources
According to our experiences, BPCA does not always perform well on all benchmark datasets, and the performance of KNN is usually worse than that of other methods for most of time, which means that KNN cannot accurately estimate missing values to improve downstream analysis.
The existing ultimate strength and axial strain models were assessed against the experimental datasets and the performance of these models were discussed.
The performance of 10 existing stress strain models were assessed against the experimental datasets and the performance of these models discussed.
The experimental results are evaluated for the datasets and the performance is analysed by some metrics and compared with the existing systems such as JIT adaptive K-NN and HRFuzzy system.
In the following sections, we described the results of our analysis of three TCGA adenocarcinoma datasets and the performance of ContrastRank algorithm on each tumor type.
Time series, non-time series and mixed type datasets were used as benchmark datasets, and the performance of each algorithm was evaluated using different measures mentioned above.
The detailed results of the supervised machine learning tested methods are shown for the eight empirical datasets and the performances on query set and reference set for each selected empirical dataset are drawn in Additional file 2: Figures S1-S8.
We evaluate our approach in terms of detection rate, false positive rate, precision, recall and F-measure using several high dimensional synthetic and real-world datasets and find the performance superior in comparison to competing algorithms.
We executed the three frameworks: (a) genetic, (b) exhaustive and (c) random guessing using these 8 datasets and collected the performance measures detailed in Section 4.4.
