实验结果表明:现有算法以16%的有效扩展规则覆盖了93%的标注正例,并使预期精度从51%提高到81%,显示了这套规则学习和评价方法的有效性。
Test results indicate that the algorithm can acquire about 16% of the useful expanded rules to cover 93% of the annotated positive examples and can improve the expected accuracy from 51% to 81%.
实验结果表明:现有算法以16%的有效扩展规则覆盖了93%的标注正例,并使预期精度从51%提高到81%,显示了这套规则学习和评价方法的有效性。
Test results indicate that the algorithm can acquire about 16% of the useful expanded rules to cover 93% of the annotated positive examples and can improve the expected accuracy from 51% to 81%.
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