Sentence examples for datasets characteristics from inspiring English sources

Since we observe consistent improvement across three different classifiers over five datasets, which are the Balance Scale, German, Ionosphere, Teaching Assistant Evaluation, and Tic-Tac-Toe Endgame datasets, the relationship between classification accuracy and these datasets' characteristics is examined.

Table 1 Datasets' characteristics Dataset # samples (Questionnaires) # samples in the training set # samples in the test set # parties modelled Cypriot 1,897 1,138 759 7 German 5,180 3,108 2,072 7 Greek 26,243 15,746 10,497 9.

Additional file 2 Datasets characteristics and program parameters used.

There were no associations between TIN-estimates and sample characteristics in any of the other datasets (characteristics listed in Table  1).> -wrap-foot> aPatient samples analyzed in-house bTwo samples from the GEO entry (GSM333256 and GSM333270) were excluded due to failure of reading the raw data files.

Table 5 Attack and normal traffic features extracted from CAIDA and FIFA World Cup' datasets Characteristic DoS attacks Normal traffic Packet size 64k 64k No. of sources 859 73 Packet rate 125,705 385.

Table 1 Dataset characteristics Dataset #Items #Records Avg.

Firstly, we analyzed the relationship between (alpha) values, number of nodes obtained for each (alpha) value and dataset characteristics.

Two-dimensional artificial datasets have been generated to exhibit a set of properties describing global dataset characteristics: cluster alignment, label distribution, cluster morphism and cluster separability.

We can then count the number of links over time for the five types of relationships asked in the questionnaires from "Dataset characteristics" section.

Table 1 Dataset characteristics Dataset name Image size (pixels) Number of projections Data format Acquisition time Ultrafast 816 × 616 461 TIFF/HDF5 <50 ms Fast 2016 × 1008 910 HDF5 Few s Standard 2048 × 2048 1441 TIFF/HDF5 5–10 min Highres 2560 × 2160 1801 TIFF 5 10 min.

This problem is relevant for the inferences that stem from the data, given that individualistic or ecological fallacies may emerge if the dataset characteristics are not correctly interpreted in terms of representation, similarity or heterogeneity.