{"id":8264,"date":"2024-06-16T13:01:01","date_gmt":"2024-06-16T05:01:01","guid":{"rendered":""},"modified":"2024-06-16T13:01:01","modified_gmt":"2024-06-16T05:01:01","slug":"\u8bc4\u4ef7\u6307\u6807\u6a21\u578b_\u8bc4\u4ef7\u6307\u6807\u6709\u54ea\u4e9b","status":"publish","type":"post","link":"https:\/\/mushiming.com\/8264.html","title":{"rendered":"\u8bc4\u4ef7\u6307\u6807\u6a21\u578b_\u8bc4\u4ef7\u6307\u6807\u6709\u54ea\u4e9b"},"content":{"rendered":"
\u4e3b\u8981\u6709 accuracy,precision,recal, F1-score, F1-micro, F1-macro<\/p>\n
\u9996\u5148\u9700\u8981\u4e86\u89e3\u4e00\u4e0b\u51e0\u4e2a\u6982\u5ff5\uff0cTP (true positive), FP (false positive), TN (true negitive), FN (false negitive)\u3002<\/p>\n
\u5047\u8bbe\u5b58\u4e8c\u5206\u7c7b\u6a21\u578b\u4f7f\u5f97\u6a21\u578b\u5728\u6d4b\u8bd5\u6570\u636e\u96c6\u4e0a\u7684\u7ed3\u679c\u5982\u4e0b\u8868\u6240\u793a\uff0c\u6a2a\u5750\u6807\u4e3aGround Truth, \u7eb5\u5750\u6807\u4e3a\u9884\u6d4b\u503c\uff1a<\/p>\n
<\/p>\n
\u51c6\u786e\u7387\u662f\u6307\uff0c\u5bf9\u4e8e\u7ed9\u5b9a\u7684\u6d4b\u8bd5\u6570\u636e\u96c6\uff0c\u5206\u7c7b\u5668\u6b63\u786e\u5206\u7c7b\u7684\u6837\u672c\u4e66\u4e0e\u603b\u6837\u672c\u6570\u4e4b\u6bd4\uff0c\u4e5f\u5c31\u662f\u9884\u6d4b\u6b63\u786e\u7684\u6982\u7387\u3002\u4e5f\u5c31\u662f\u6240\u6709\u6570\u636e\u4e2d\uff0c\u6211\u4eec\u6b63\u786e\u5206\u7c7b\u4e86\u591a\u5c11\uff1f\u5373:<\/p>\n
<\/p>\n
\u7cbe\u786e\u5ea6\uff1a\u4ee5\u9884\u6d4b\u7ed3\u679c<\/strong>\u4e3a\u5224\u65ad\u4f9d\u636e\uff0c\u9884\u6d4b\u4e3a\u6b63\u4f8b\u7684\u6837\u672c\u4e2d\u9884\u6d4b\u6b63\u786e\u7684\u6bd4\u4f8b\u3002\u9884\u6d4b\u4e3a\u6b63\u4f8b\u7684\u7ed3\u679c\u5206\u4e24\u79cd\uff0c\u8981\u4e48\u5b9e\u9645\u662f\u6b63\u4f8bTP\uff0c\u8981\u4e48\u5b9e\u9645\u662f\u8d1f\u4f8bFP\uff0c\u5219\u53ef\u7528\u516c\u5f0f\u8868\u793a:<\/p>\n <\/p>\n \u7cbe\u786e\u5ea6\u8fd8\u6709\u4e00\u4e2a\u540d\u5b57\uff0c\u53eb\u505a\u201c\u67e5\u51c6\u7387\u201d<\/strong>\uff0c\u6211\u4eec\u5173\u5fc3\u7684\u4e3b\u8981\u90e8\u5206\u662f\u6b63\u4f8b\uff0c\u6240\u4ee5\u67e5\u51c6\u7387\u5c31\u662f\u76f8\u5bf9\u6b63\u4f8b\u7684\u9884\u6d4b\u7ed3\u679c\u800c\u8a00\uff0c\u6b63\u4f8b\u9884\u6d4b\u7684\u51c6\u786e\u5ea6\u3002\u76f4\u767d\u7684\u610f\u601d\u5c31\u662f\u6a21\u578b\u9884\u6d4b\u4e3a\u6b63\u4f8b\u7684\u6837\u672c\u4e2d\uff0c\u5176\u4e2d\u771f\u6b63\u7684\u6b63\u4f8b\u5360\u9884\u6d4b\u4e3a\u6b63\u4f8b\u6837\u672c\u7684\u6bd4\u4f8b\uff0c\u7528\u6b64\u6807\u51c6\u6765\u8bc4\u4f30\u9884\u6d4b\u6b63\u4f8b\u7684\u51c6\u786e\u5ea6<\/strong>\u3002<\/p>\n \u88ab\u6211\u4eec\u7684\u7b97\u6cd5\u9009\u4e3apositive\u7684\u6570\u636e\u4e2d\uff0c\u6709\u591a\u5c11\u771f\u7684\u662fpositive\u7684\uff1f<\/p>\n \u53ec\u56de\u7387\uff1a\u4ee5\u5b9e\u9645\u6837\u672c<\/strong>\u4e3a\u5224\u65ad\u4f9d\u636e\uff0c\u5b9e\u9645\u4e3a\u6b63\u4f8b\u7684\u6837\u672c\u4e2d\uff0c\u88ab\u9884\u6d4b\u6b63\u786e\u7684\u6b63\u4f8b\u5360\u603b\u5b9e\u9645\u6b63\u4f8b\u6837\u672c\u7684\u6bd4\u4f8b\u3002\u5b9e\u9645\u4e3a\u6b63\u4f8b\u7684\u6837\u672c\u4e2d\uff0c\u8981\u4e48\u5728\u9884\u6d4b\u4e2d\u88ab\u9884\u6d4b\u6b63\u786eTP\uff0c\u8981\u4e48\u5728\u9884\u6d4b\u4e2d\u9884\u6d4b\u9519\u8befFN\uff0c\u7528\u516c\u5f0f\u8868\u793a\uff1a<\/p>\n <\/p>\n \u53ec\u56de\u7387\u7684\u53e6\u4e00\u4e2a\u540d\u5b57\uff0c\u53eb\u505a\u201c\u67e5\u5168\u7387\u201d<\/strong>\uff0c\u8bc4\u4f30\u6240\u6709\u5b9e\u9645\u6b63\u4f8b\u662f\u5426\u88ab\u9884\u6d4b\u51fa\u6765\u7684\u8986\u76d6\u7387\u5360\u6bd4\u591a\u5c11\u3002\u5b9e\u9645\u5e94\u8be5\u4e3aPositive\u7684\u6570\u636e\u4e2d\uff0c\u591a\u5c11\u88ab\u6211\u4eec\u9009\u4e3a\u4e86Positive\uff1f<\/p>\n \u603b\u7ed3\uff1a<\/strong>\u9884\u6d4b\u65f6\u5f53\u7136\u5e0c\u671bPrecision\u548cRecall\u90fd\u4fdd\u6301\u4e00\u4e2a\u8f83\u9ad8\u7684\u6c34\u51c6\uff0c\u4f46\u4e8b\u5b9e\u4e0a\u8fd9\u4e24\u8005\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u662f\u6709\u77db\u76fe\u7684\u3002\u6bd4\u5982\u5728\u6781\u7aef\u60c5\u51b5\u4e0b\uff0c\u5018\u82e5\u53ea\u641c\u7d22\u51fa\u4e86\u4e00\u4e2a\u7ed3\u679c\uff0c\u4e14\u662f\u6b63\u786e\u7684\uff0c\u90a3\u4e48Precision\u5c31\u662f100%\uff0c\u4f46\u662fRecall\u5c31\u5f88\u4f4e\uff1b\u800c\u5982\u679c\u628a\u6240\u6709\u7ed3\u679c\u90fd\u8fd4\u56de\uff0c\u90a3\u4e48\u6bd4\u5982Recall\u662f100%\uff0c\u4f46\u662fPrecision\u5c31\u4f1a\u5f88\u4f4e\u3002\u56e0\u6b64\u5728\u4e0d\u540c\u7684\u573a\u5408\u4e2d\u9700\u8981\u81ea\u5df1\u5224\u65ad\u5e0c\u671bPrecision\u6bd4\u8f83\u9ad8\u6216\u662fRecall\u6bd4\u8f83\u9ad8\uff0c\u6b64\u65f6\u53ef\u4ee5\u5f15\u51fa\u53e6\u4e00\u4e2a\u8bc4\u4ef7\u6307\u6807 F1-Score(F-Measure)\u3002<\/p>\n F1\u5206\u6570\uff08F1 Score\uff09\u662f\u7edf\u8ba1\u5b66\u4e2d\u7528\u6765\u8861\u91cf\u4e8c\u5206\u7c7b\u6a21\u578b\u7cbe\u786e\u5ea6\u7684\u4e00\u79cd\u6307\u6807\uff0c\u5b83\u540c\u65f6\u517c\u987e\u4e86\u5206\u7c7b\u6a21\u578b\u7684\u7cbe\u786e\u7387\u548c\u53ec\u56de\u7387\u3002F1\u5206\u6570\u53ef\u4ee5\u770b\u4f5c\u662f\u6a21\u578b\u7cbe\u786e\u7387\u548c\u53ec\u56de\u7387\u7684\u4e00\u79cd\u52a0\u6743\u5e73\u5747\uff0c\u5b83\u7684\u6700\u5927\u503c\u662f1\uff0c\u6700\u5c0f\u503c\u662f0\u3002<\/p>\n \u6570\u5b66\u5b9a\u4e49<\/strong>\uff1a <\/p>\n \u603b\u7ed3\uff1a\u76f4\u89c9\u4e0a\u6765\u8bf4TP\u8d8a\u5927\u8d8a\u597d\uff0c\u4f46\u662f\u8fd9\u91cc\u7684\u5927\u80af\u5b9a\u662f\u4e00\u4e2a\u76f8\u5bf9\u7684\u6982\u5ff5\uff0c\u800cF-score \u5c31\u662f\u5206\u522b\u4ece\u4e24\u4e2a\u89d2\u5ea6\uff0c\u4e3b\u89c2\uff08Predicted\uff09\u548c\u5ba2\u89c2\uff08Actual\uff09\u4e0a\u53bb\u7efc\u5408\u7684\u5206\u6790TP\u591f\u4e0d\u591f\u5927\u3002\u8fd9\u4e5f\u5c31\u662f\u5e73\u5e38\u770b\u5230\u7684\u7ed3\u8bba F-score\u7684\u503c \u53ea\u6709\u5728 Precision \u548c Recall \u90fd\u5927\u7684\u65f6\u5019 \u624d\u4f1a\u5927\u3002<\/p>\n \u5728\u4e00\u4e2a\u591a\u6807\u7b7e\u5206\u7c7b\u4efb\u52a1\u4e2d\uff0c\u53ef\u4ee5\u5bf9\u6bcf\u4e2a\u201c\u7c7b\u201d\u8ba1\u7b97F1\uff0c\u663e\u7136\u9700\u8981\u628a\u6240\u6709\u7c7b\u7684F1\u5408\u5e76\u8d77\u6765\u8003\u8651\u3002\u8fd9\u91cc\u6709\u4e24\u79cd\u5408\u5e76\u65b9\u5f0f\uff1a<\/p>\n \uff081\uff09\u7b2c\u4e00\u79cd\u8ba1\u7b97\u51fa\u6240\u6709\u7c7b\u522b\u603b\u7684Precision\u548cRecall\uff0c\u7136\u540e\u8ba1\u7b97F1\u3002\u8fd9\u79cd\u65b9\u5f0f\u88ab\u79f0\u4e3a <\/p>\n <\/p>\n \uff082\uff09\u7b2c\u4e8c\u79cd\u65b9\u5f0f\u662f\u8ba1\u7b97\u51fa\u6bcf\u4e00\u4e2a\u7c7b\u7684Precison\u548cRecall\u540e\u8ba1\u7b97F1\uff0c\u6700\u540e\u5c06F1\u5e73\u5747\u3002\u8fd9\u79cd\u65b9\u5f0f\u53eb\u505aMacro-F1\u5b8f\u5e73\u5747\u3002<\/p>\n <\/p>\n <\/p>\n \u5728\u673a\u5668\u5b66\u4e60\u9886\u57df\uff0c\u6df7\u6dc6\u77e9\u9635\u53c8\u79f0\u4e3a\u53ef\u80fd\u6027\u8868\u683c\u6216\u9519\u8bef\u77e9\u9635\u3002\u5b83\u662f\u4e00\u79cd\u7279\u5b9a\u7684\u77e9\u9635\uff0c\u7528\u6765\u5448\u73b0\u7b97\u6cd5\u6027\u80fd\u7684\u53ef\u89c6\u5316\u6548\u679c\uff0c\u901a\u5e38\u662f\u76d1\u7763\u5b66\u4e60\uff08\u975e\u76d1\u7763\u5b66\u4e60\u901a\u5e38\u7528\u5339\u914d\u77e9\u9635\uff1amatching matrix\uff09\u3002\u5176\u6bcf\u4e00\u5217\u4ee3\u8868\u9884\u6d4b\u503c\uff0c\u6bcf\u4e00\u884c\u4ee3\u8868\u7684\u662f\u5b9e\u9645\u7684\u7c7b\u522b\u3002<\/strong>\u8fd9\u4e2a\u540d\u5b57\u6765\u6e90\u4e8e\u5b83\u53ef\u4ee5\u975e\u5e38\u5bb9\u6613\u7684\u8868\u660e\u591a\u4e2a\u7c7b\u522b\u662f\u5426\u6709\u6df7\u6dc6\uff08\u4e5f\u5c31\u662f\u4e00\u4e2aclass\u88ab\u9884\u6d4b\u6210\u53e6\u4e00\u4e2aclass\uff09\u3002<\/p>\n \u4e00\u4e2a\u4e8c\u5206\u7c7b\uff08\u6b63\u548c\u53cd\uff09\u95ee\u9898\u7684\u6df7\u6dc6\u77e9\u9635\u5982\u4e0b\u56fe\u6240\u793a\uff1a \u4e09\u5206\u7c7b\u6df7\u6dc6\u77e9\u9635:<\/p>\n <\/p>\n \u6240\u6709\u6b63\u786e\u7684\u9884\u6d4b\u7ed3\u679c\u90fd\u5728\u5bf9\u89d2\u7ebf\u4e0a<\/strong><\/span>\uff0c\u6240\u4ee5<\/span><\/span>\u4ece\u6df7\u6dc6\u77e9\u9635\u4e2d\u53ef\u4ee5\u5f88\u65b9\u4fbf\u76f4\u89c2\u7684\u770b\u51fa\u54ea\u91cc\u6709\u9519\u8bef\uff0c\u56e0\u4e3a\u4ed6\u4eec\u5448\u73b0\u5728\u5bf9\u89d2\u7ebf\u5916\u9762<\/strong><\/span>\u3002<\/span><\/span><\/p>\n \u63a5\u53d7\u8005\u64cd\u4f5c\u7279\u5f81\u66f2\u7ebf(Reciver Operating Characteristic Curve,ROC)\uff0c\u7528\u4e8e\u63cf\u8ff0\u4e8c\u5206\u7c7b\u7cfb\u7edf\u6027\u80fd(\u5206\u7c7b\u5668\u9608\u503c\u662f\u53d8\u5316\u7684)\uff0c\u53cd\u5e94\u654f\u611f\u6027\u548c\u7279\u5f02\u6027\u8fde\u7eed\u53d8\u5316\u7684\u7efc\u5408\u6307\u6807\uff0cROC\u66f2\u7ebf\u4e0a\u7684\u70b9\u53cd\u5e94\u5bf9\u540c\u4e00\u4fe1\u53f7\u523a\u6fc0\u7684\u611f\u53d7\u6027\u3002<\/p>\n <\/p>\n \u7528\u4e0d\u540c\u7684\u9600\u503c\uff0c\u7edf\u8ba1\u51fa\u6bcf\u7ec4\u4e0d\u540c\u9600\u503c\u4e0b\u7684\u7cbe\u786e\u7387\u548c\u53ec\u56de\u7387\uff1a<\/p>\n <\/p>\n <\/p>\n \u4e00\u4e2a\u5178\u578b\u7684 ROC \u66f2\u7ebf\u5982\u4e0b\uff1a<\/p>\n <\/p>\n<\/p>\n \u4e3a\u4e86\u66f4\u597d\u5730\u7406\u89e3ROC\u66f2\u7ebf\uff0c\u6211\u4eec\u4f7f\u7528\u5177\u4f53\u7684\u5b9e\u4f8b\u6765\u8bf4\u660e\uff1a<\/p>\n \u5982\u5728\u533b\u5b66\u8bca\u65ad\u4e2d,\u5224\u65ad\u6709\u75c5\u7684\u6837\u672c\u3002\u90a3\u4e48\u5c3d\u91cf\u628a\u6709\u75c5\u7684\u63ea\u51fa\u6765\u662f\u4e3b\u8981\u4efb\u52a1\uff0c\u4e5f\u5c31\u662f\u6307\u6807TPR\uff0c\u8981\u8d8a\u9ad8\u8d8a\u597d\u3002\u800c\u628a\u6ca1\u75c5\u7684\u6837\u672c\u8bef\u8bca\u4e3a\u6709\u75c5\u7684\uff0c\u4e5f\u5c31\u662f\u6307\u6807FPR\uff0c\u8981\u8d8a\u4f4e\u8d8a\u597d\u3002<\/p>\n \u4e0d\u96be\u53d1\u73b0,\u8fd9\u4e24\u4e2a\u6307\u6807\u4e4b\u95f4\u662f\u76f8\u4e92\u5236\u7ea6\u7684\u3002\u5982\u679c\u67d0\u4e2a\u533b\u751f\u5bf9\u4e8e\u6709\u75c5\u7684\u75c7\u72b6\u6bd4\u8f83\u654f\u611f\uff0c\u7a0d\u5fae\u7684\u5c0f\u75c7\u72b6\u90fd\u5224\u65ad\u4e3a\u6709\u75c5,\u90a3\u4e48\u4ed6\u7684tpr\u6307\u6807\u5e94\u8be5\u4f1a\u5f88\u9ad8\uff0c\u4f46\u662ffpr\u6307\u6807\u4e5f\u5c31\u76f8\u5e94\u5730\u53d8\u9ad8\u3002\u6700\u6781\u7aef\u7684\u60c5\u51b5\u4e0b,\u4ed6\u628a\u6240\u6709\u7684\u6837\u672c\u90fd\u770b\u505a\u6709\u75c5,\u90a3\u4e48tpr\u8fbe\u52301,fpr\u6307\u6807\u4e5f\u4e3a1\u3002<\/p>\n ROC\u66f2\u7ebf\u4f18\u52bf\u5c31\u662f\uff0c\u5f53\u6b63\u8d1f\u6837\u672c\u7684\u5206\u5e03\u53d1\u751f\u53d8\u5316\u65f6\uff0c\u5176\u5f62\u72b6\u80fd\u591f\u57fa\u672c\u4fdd\u6301\u4e0d\u53d8\uff0c\u56e0\u6b64\u5176\u9762\u79efAUC\u503c\u4e5f\u9002\u7528\u4e8e\u4e0d\u5e73\u8861\u6837\u672c\u3002<\/p>\n<\/p>\n AUC\u662f\u4e00\u79cd\u6a21\u578b\u5206\u7c7b\u6307\u6807\uff0c\u4e14\u4ec5\u4ec5\u662f\u4e8c\u5206\u7c7b\u6a21\u578b\u7684\u8bc4\u4ef7\u6307\u6807\u3002<\/p>\n AUC\u5b9a\u4e49\uff1a<\/strong><\/p>\n AUC\u503c\u4e3aROC\u66f2\u7ebf\u6240\u8986\u76d6\u7684\u533a\u57df\u9762\u79ef\uff0c\u663e\u7136\uff0cAUC\u8d8a\u5927\uff0c\u5206\u7c7b\u5668\u5206\u7c7b\u6548\u679c\u8d8a\u597d\u3002<\/p>\n AUC\u7684\u7269\u7406\u610f\u4e49<\/strong><\/p>\n AUC\u7684\u7269\u7406\u610f\u4e49\u6b63\u6837\u672c\u7684\u9884\u6d4b\u7ed3\u679c\u5927\u4e8e\u8d1f\u6837\u672c\u7684\u9884\u6d4b\u7ed3\u679c\u7684\u6982\u7387\u3002\u6240\u4ee5AUC\u53cd\u5e94\u7684\u662f\u5206\u7c7b\u5668\u5bf9\u6837\u672c\u7684\u6392\u5e8f\u80fd\u529b\u3002<\/p>\n \u53e6\u5916\u503c\u5f97\u6ce8\u610f\u7684\u662f\uff0cAUC\u5bf9\u6837\u672c\u7c7b\u522b\u662f\u5426\u5747\u8861\u5e76\u4e0d\u654f\u611f\uff0c\u8fd9\u4e5f\u662f\u4e0d\u5747\u8861\u6837\u672c\u901a\u5e38\u7528AUC\u8bc4\u4ef7\u5206\u7c7b\u5668\u6027\u80fd\u7684\u4e00\u4e2a\u539f\u56e0\u3002<\/p>\n <\/p>\n \u8bf4\u8bdd\u4eba\u786e\u8ba4\uff08Speaker Verification\uff09\u7684\u6d4b\u8bd5\u9636\u6bb5\u9700\u8981\u5224\u65ad\u4e24\u53e5\u8bdd\u662f\u5426\u6765\u81ea\u540c\u4e00\u4e2a\u8bf4\u8bdd\u4eba\uff0c\u6216\u8005\u67d0\u53e5\u8bdd\u662f\u5426\u6765\u81ea\u67d0\u4e2a\u7279\u5b9a\u7684\u4eba\uff0c\u662f\u4e2a\u4e8c\u5206\u7c7b\u95ee\u9898\u3002<\/p>\n \u5b9a\u4e49\uff1a <\/p>\n \u9519\u8bef\u62d2\u7edd\u7387\uff08False Rejection Rate\uff0cFRR\uff09\uff1a\u4e0d\u8be5\u62d2\u7edd\u7684\u6837\u672c\uff08label=1\uff09\u4e2d\u88ab\u62d2\u7edd\uff08prediction=0\uff09\u7684\u6982\u7387<\/p>\n <\/p>\n <\/p>\n \u5f53\u4e24\u4e2a\u9519\u8bef\u6982\u7387\u76f8\u7b49\u7684\u65f6\u5019\uff0c\u5373 F A R = F R R \u65f6\uff0c<\/p>\n <\/p>\n EER\u8d8a\u5c0f\u8d8a\u597d\u3002EER\u8ba4\u4e3a\u865a\u8b66\u548c\u6f0f\u8b66\u5bf9\u7cfb\u7edf\u5f71\u54cd\u7684\u4ee3\u4ef7\u662f\u76f8\u7b49\u7684\uff0c\u4e5f\u4e0d\u5173\u5fc3\u5b9e\u9645\u4e2d\u6b63\u4f8b\u5bf9\u548c\u8d1f\u4f8b\u5bf9\u7684\u5148\u9a8c\u6982\u7387\u3002<\/p>\n <\/p>\n \u5176\u4e2d \u4e3a\u9519\u8bef\u63a5\u53d7\u6837\u672c\uff08\u865a\u8b66\uff09\u7684\u98ce\u9669\u7cfb\u6570\uff0c \u4e3a\u9519\u8bef\u62d2\u7edd\u6837\u672c\uff08\u6f0f\u8b66\uff09\u7684\u98ce\u9669\u7cfb\u6570\uff1b \u548c \u4e3a\u6b63\u4f8b\u5bf9\u548c\u8d1f\u4f8b\u5bf9\u7684\u5148\u9a8c\u6982\u7387\uff0c\u4e00\u822c\u6765\u8bf4\u5b9e\u9645\u4e2d\u78b0\u5230\u7684\u7edd\u5927\u90e8\u5206\u90fd\u662f\u8d1f\u4f8b\u5bf9\uff0c\u56e0\u6b64 \u8f83\u5c0f\uff0c\u4e00\u822c\u8bbe\u7f6e\u4e3a0.01\u6216\u80050.001\u3002minDCF\u8d8a\u5c0f\u8d8a\u597d\u3002 RTF(real time factor)\u8868\u793a\u5982\u4e0b\uff1a\uff08\u53ea\u627e\u5230\u4e86ASR\u7684RTF\u8ba1\u7b97\u65b9\u6cd5\uff09<\/span><\/p>\n <\/p>\n \u3010\u610f\u4e49\u3011<\/strong>\uff1a\u5e73\u5747 \u5373\uff1a<\/p>\n<\/p>\n \u539f\u6587\u94fe\u63a5\uff1ahttps:\/\/blog.csdn.net\/_\/article\/details\/<\/p>\n","protected":false},"excerpt":{"rendered":"\u8bc4\u4ef7\u6307\u6807\u6a21\u578b_\u8bc4\u4ef7\u6307\u6807\u6709\u54ea\u4e9b\u9884\u6d4b\u65f6\u5f53\u7136\u5e0c\u671bPrecision\u548cRecall\u90fd\u4fdd\u6301\u4e00\u4e2a\u8f83\u9ad8\u7684\u6c34\u51c6\uff0c\u4f46\u4e8b\u5b9e\u4e0a\u8fd9\u4e24\u8005\u5728\u67d0\u4e9b\u60c5\u51b5\u4e0b\u662f\u6709\u77db\u76fe\u7684","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"_links":{"self":[{"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/posts\/8264"}],"collection":[{"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/comments?post=8264"}],"version-history":[{"count":0,"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/posts\/8264\/revisions"}],"wp:attachment":[{"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/media?parent=8264"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/categories?post=8264"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/mushiming.com\/wp-json\/wp\/v2\/tags?post=8264"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}1.3 \u53ec\u56de\u7387 Recall<\/h3>\n
1.4 F1-score<\/h3>\n
F1-Score<\/code>\u53c8\u79f0\u4e3a\u5e73\u8861F\u5206\u6570\uff08BalancedScore\uff09\uff0c\u5b83\u88ab\u5b9a\u4e49\u4e3a\u7cbe\u786e\u7387\u548c\u53ec\u56de\u7387\u7684\u8c03\u548c\u5e73\u5747\u6570\u3002F-score \u5c31\u662fprecision \u548c recall\u7684 harmonic mean<\/strong>\u3002<\/p>\n
1.5 \u5b8f\u5e73\u5747 Macro-F1 \u3001\u5fae\u5e73\u5747 Micro-F1<\/h3>\n
Micro-F1\u5fae\u5e73\u5747<\/code>\u3002<\/p>\n
\u6ce8<\/strong>\uff1a\u5fae\u5e73\u5747 Micro-F1 \u4e3b\u8981\u5e94\u7528\u5728\u6837\u672c\u6570\u636e\u5206\u5e03\u5747\u8861<\/strong>\u7684\u6570\u636e\u96c6\u4e0a\uff0c\u800c\u5b8f\u5e73\u5747Macro-F1 \u4e3b\u8981\u5e94\u7528\u5728\u6837\u672c\u6570\u636e\u5206\u5e03\u4e0d\u5747\u8861<\/strong>\u7684\u6570\u636e\u96c6\u4e0a\uff0c\u56e0\u4e3a\u5b83\u5728\u5206\u7c7b\u7ed3\u679c\u4e2d\u66f4\u80fd\u7167\u987e\u5c0f\u89c4\u6a21\u6837\u672c\u7684\u6743\u91cd\u3002<\/p>\n1.6 \u6df7\u6dc6\u77e9\u9635\uff08Confusion Matrix\uff09<\/h3>\n
<\/p>\n1.7 ROC \u66f2\u7ebf<\/h3>\n
\n
\n
1.8 AUC\uff08Area Under the Curve\uff0c\u66f2\u7ebf\u4e0b\u9762\u79ef\uff09<\/h3>\n
2. SV\u7684\u8bc4\u4ef7\u6307\u6807<\/h2>\n
\u9519\u8bef\u63a5\u53d7\u7387\uff08False Acceptance Rate\uff0cFAR\uff09\uff1a\u4e0d\u8be5\u63a5\u53d7\u7684\u6837\u672c\uff08label=0\uff09\u4e2d\u88ab\u63a5\u53d7\uff08prediction=1\uff09\u6982\u7387<\/p>\n2.1 \u7b49\u9519\u8bef\u6982\u7387EER\uff08Equal Error Rate\uff09<\/h3>\n
2.2 \u6700\u5c0f\u68c0\u6d4b\u4ee3\u4ef7\u51fd\u6570minDCF\uff08Minimum Detection Cost Function\uff09<\/h3>\n
minDCF\u8003\u8651\u4e86\u5148\u9a8c\u6982\u7387\u548c\u4e0d\u540c\u4ee3\u4ef7\uff0c\u6bd4 EER \u66f4\u5408\u7406\u3002
\u57282008\u5e74\u7684NIST\u8bf4\u8bdd\u4eba\u786e\u8ba4\u8bc4\u6d4b\u4e2d\uff0c\u53d6 \uff1d10\uff0c \uff1d1\uff0cPT\uff1d0.01\uff0cPI\uff1d0.99\uff1b\u57282010\u5e74\u7684NIST\u8bc4\u6d4b\u4e2d\uff0c\u53d6 \uff1d1\uff0c \uff1d1\uff0cPT\uff1d0.001\uff0cPI\uff1d0.999\u3002\u53ef\u89c1\uff0c\u8bc6\u522b\u7cfb\u7edf\u8981\u80fd\u591f\u5e94\u4ed8\u5927\u91cf\u7684\u5192\u8ba4\u8005\uff0c\u4e14\u5bf9\u9519\u8bef\u62d2\u7edd\u66f4\u654f\u611f\u3002<\/p>\n2.3 RTF(real_time_factor\u5b9e\u65f6\u7387,\u5728\u7ebf\u8bc6\u522b\u6307\u6807)<\/h3>\n
1\u79d2\u65f6\u957f\u97f3\u9891<\/code>\u7ed9
ASR\u7b97\u6cd5<\/span>\u9700\u8981\u591a\u5c11\u79d2\u5904\u7406<\/code>\uff0c\u5c0f\u4e8e1\u624d\u80fd\u8fbe\u5230\u5b9e\u65f6\u6548\u679c\u3002\u8d8a\u5c0f\u8d8a\u597d\uff0c\u6b63\u5e380.2-0.3<\/strong>
<\/p>\n