This data repository contains test data and corresponding test code for evaluating the performance of a machine learning model. The dataset includes 950 labeled samples across 7 different classes. The test code provides implementations of several common evaluation metrics, including accuracy, precision, recall, and F1-score. This resource is intended to facilitate the benchmarking and comparison of different machine learning algorithms on a standardized task.

Dataset Files

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[1] Chao Zhang, "Readability Classifier with Linguistic Characteristics", IEEE Dataport, 2024. [Online]. Available: http://dx.doi.org/10.21227/j3as-y649. Accessed: Sep. 14, 2024.
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doi = {10.21227/j3as-y649},
url = {http://dx.doi.org/10.21227/j3as-y649},
author = {Chao Zhang },
publisher = {IEEE Dataport},
title = {Readability Classifier with Linguistic Characteristics},
year = {2024} }
TY - DATA
T1 - Readability Classifier with Linguistic Characteristics
AU - Chao Zhang
PY - 2024
PB - IEEE Dataport
UR - 10.21227/j3as-y649
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Chao Zhang. (2024). Readability Classifier with Linguistic Characteristics. IEEE Dataport. http://dx.doi.org/10.21227/j3as-y649
Chao Zhang, 2024. Readability Classifier with Linguistic Characteristics. Available at: http://dx.doi.org/10.21227/j3as-y649.
Chao Zhang. (2024). "Readability Classifier with Linguistic Characteristics." Web.
1. Chao Zhang. Readability Classifier with Linguistic Characteristics [Internet]. IEEE Dataport; 2024. Available from : http://dx.doi.org/10.21227/j3as-y649
Chao Zhang. "Readability Classifier with Linguistic Characteristics." doi: 10.21227/j3as-y649