“`” \u53c2\u8003\u56de\u7b54\uff1a<\/p>\n
\u5e38\u89c1\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff1a<\/p>\n
1\uff09. \u56de\u5f52\u7b97\u6cd5\uff1a\u56de\u5f52\u7b97\u6cd5\u662f\u8bd5\u56fe\u91c7\u7528\u5bf9\u8bef\u5dee\u7684\u8861\u91cf\u6765\u63a2\u7d22\u53d8\u91cf\u4e4b\u95f4\u7684\u5173\u7cfb\u7684\u4e00\u7c7b\u7b97\u6cd5\u3002\u56de\u5f52\u7b97\u6cd5\u662f\u7edf\u8ba1\u673a\u5668\u5b66\u4e60\u7684\u5229\u5668\u3002 \u5e38\u89c1\u7684\u56de\u5f52\u7b97\u6cd5\u5305\u62ec\uff1a\u6700\u5c0f\u4e8c\u4e58\u6cd5\uff08Ordinary Least Square\uff09\uff0c\u903b\u8f91\u56de\u5f52\uff08Logistic Regression\uff09\uff0c\u9010\u6b65\u5f0f\u56de\u5f52\uff08Stepwise Regression\uff09\uff0c\u591a\u5143\u81ea\u9002\u5e94\u56de\u5f52\u6837\u6761\uff08Multivariate Adaptive Regression Splines\uff09\u4ee5\u53ca\u672c\u5730\u6563\u70b9\u5e73\u6ed1\u4f30\u8ba1\uff08Locally Estimated Scatterplot Smoothing\uff09\u3002<\/p>\n
2\uff09. \u57fa\u4e8e\u5b9e\u4f8b\u7684\u7b97\u6cd5\uff1a\u57fa\u4e8e\u5b9e\u4f8b\u7684\u7b97\u6cd5\u5e38\u5e38\u7528\u6765\u5bf9\u51b3\u7b56\u95ee\u9898\u5efa\u7acb\u6a21\u578b\uff0c\u8fd9\u6837\u7684\u6a21\u578b\u5e38\u5e38\u5148\u9009\u53d6\u4e00\u6279\u6837\u672c\u6570\u636e\uff0c\u7136\u540e\u6839\u636e\u67d0\u4e9b\u8fd1\u4f3c\u6027\u628a\u65b0\u6570\u636e\u4e0e\u6837\u672c\u6570\u636e\u8fdb\u884c\u6bd4\u8f83\u3002\u901a\u8fc7\u8fd9\u79cd\u65b9\u5f0f\u6765\u5bfb\u627e\u6700\u4f73\u7684\u5339\u914d\u3002\u56e0\u6b64\uff0c\u57fa\u4e8e\u5b9e\u4f8b\u7684\u7b97\u6cd5\u5e38\u5e38\u4e5f\u88ab\u79f0\u4e3a\u201c\u8d62\u5bb6\u901a\u5403\u201d\u5b66\u4e60\u6216\u8005\u201c\u57fa\u4e8e\u8bb0\u5fc6\u7684\u5b66\u4e60\u201d\u3002\u5e38\u89c1\u7684\u7b97\u6cd5\u5305\u62ec k-Nearest Neighbor(KNN), \u5b66\u4e60\u77e2\u91cf\u91cf\u5316\uff08Learning Vector Quantization\uff0c LVQ\uff09\uff0c\u4ee5\u53ca\u81ea\u7ec4\u7ec7\u6620\u5c04\u7b97\u6cd5\uff08Self-Organizing Map\uff0cSOM\uff09\u3002\u6df1\u5ea6\u5b66\u4e60\u7684\u6982\u5ff5\u6e90\u4e8e\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7684\u7814\u7a76\u3002\u542b\u591a\u9690\u5c42\u7684\u591a\u5c42\u611f\u77e5\u5668\u5c31\u662f\u4e00\u79cd\u6df1\u5ea6\u5b66\u4e60\u7ed3\u6784\u3002\u6df1\u5ea6\u5b66\u4e60\u901a\u8fc7\u7ec4\u5408\u4f4e\u5c42\u7279\u5f81\u5f62\u6210\u66f4\u52a0\u62bd\u8c61\u7684\u9ad8\u5c42\u8868\u793a\u5c5e\u6027\u7c7b\u522b\u6216\u7279\u5f81\uff0c\u4ee5\u53d1\u73b0\u6570\u636e\u7684\u5206\u5e03\u5f0f\u7279\u5f81\u8868\u793a\u3002<\/p>\n
3\uff09. \u51b3\u7b56\u6811\u5b66\u4e60\uff1a\u51b3\u7b56\u6811\u7b97\u6cd5\u6839\u636e\u6570\u636e\u7684\u5c5e\u6027\u91c7\u7528\u6811\u72b6\u7ed3\u6784\u5efa\u7acb\u51b3\u7b56\u6a21\u578b\uff0c \u51b3\u7b56\u6811\u6a21\u578b\u5e38\u5e38\u7528\u6765\u89e3\u51b3\u5206\u7c7b\u548c\u56de\u5f52\u95ee\u9898\u3002\u5e38\u89c1\u7684\u7b97\u6cd5\u5305\u62ec\uff1a\u5206\u7c7b\u53ca\u56de\u5f52\u6811\uff08Classification And Regression Tree\uff0cCART\uff09\uff0cID3 (Iterative Dichotomiser 3)\uff0cC4.5\uff0cChi-squared Automatic Interaction Detection(CHAID), Decision Stump, \u968f\u673a\u68ee\u6797\uff08Random Forest\uff09\uff0c\u591a\u5143\u81ea\u9002\u5e94\u56de\u5f52\u6837\u6761\uff08MARS\uff09\u4ee5\u53ca\u68af\u5ea6\u63a8\u8fdb\u673a\uff08Gradient Boosting Machine\uff0cGBM\uff09\u3002<\/p>\n
4\uff09. \u8d1d\u53f6\u65af\u65b9\u6cd5\uff1a\u8d1d\u53f6\u65af\u65b9\u6cd5\u7b97\u6cd5\u662f\u57fa\u4e8e\u8d1d\u53f6\u65af\u5b9a\u7406\u7684\u4e00\u7c7b\u7b97\u6cd5\uff0c\u4e3b\u8981\u7528\u6765\u89e3\u51b3\u5206\u7c7b\u548c\u56de\u5f52\u95ee\u9898\u3002\u5e38\u89c1\u7b97\u6cd5\u5305\u62ec\uff1a\u6734\u7d20\u8d1d\u53f6\u65af\u7b97\u6cd5\uff0c\u5e73\u5747\u5355\u4f9d\u8d56\u4f30\u8ba1\uff08Averaged One-Dependence Estimators\uff0cAODE\uff09\uff0c\u4ee5\u53caBayesian Belief Network\uff08BBN\uff09\u3002<\/p>\n
5\uff09. \u57fa\u4e8e\u6838\u7684\u7b97\u6cd5\uff1a\u57fa\u4e8e\u6838\u7684\u7b97\u6cd5\u4e2d\u6700\u8457\u540d\u7684\u83ab\u8fc7\u4e8e\u652f\u6301\u5411\u91cf\u673a\uff08SVM\uff09\u4e86\u3002\u57fa\u4e8e\u6838\u7684\u7b97\u6cd5\u628a\u8f93\u5165\u6570\u636e\u6620\u5c04\u5230\u4e00\u4e2a\u9ad8\u9636\u7684\u5411\u91cf\u7a7a\u95f4\uff0c\u5728\u8fd9\u4e9b\u9ad8\u9636\u5411\u91cf\u7a7a\u95f4\u91cc\uff0c\u6709\u4e9b\u5206\u7c7b\u6216\u8005\u56de\u5f52\u95ee\u9898\u80fd\u591f\u66f4\u5bb9\u6613\u7684\u89e3\u51b3\u3002\u5e38\u89c1\u7684\u57fa\u4e8e\u6838\u7684\u7b97\u6cd5\u5305\u62ec\uff1a\u652f\u6301\u5411\u91cf\u673a\uff08Support Vector Machine\uff0cSVM\uff09\uff0c \u5f84\u5411\u57fa\u51fd\u6570\uff08Radial Basis Function\uff0cRBF)\uff0c\u4ee5\u53ca\u7ebf\u6027\u5224\u522b\u5206\u6790\uff08Linear Discriminate Analysis\uff0cLDA)\u7b49\u3002<\/p>\n
6\uff09. \u805a\u7c7b\u7b97\u6cd5\uff1a\u805a\u7c7b\uff0c\u5c31\u50cf\u56de\u5f52\u4e00\u6837\uff0c\u6709\u65f6\u5019\u4eba\u4eec\u63cf\u8ff0\u7684\u662f\u4e00\u7c7b\u95ee\u9898\uff0c\u6709\u65f6\u5019\u63cf\u8ff0\u7684\u662f\u4e00\u7c7b\u7b97\u6cd5\u3002\u805a\u7c7b\u7b97\u6cd5\u901a\u5e38\u6309\u7167\u4e2d\u5fc3\u70b9\u6216\u8005\u5206\u5c42\u7684\u65b9\u5f0f\u5bf9\u8f93\u5165\u6570\u636e\u8fdb\u884c\u5f52\u5e76\u3002\u6240\u4ee5\u7684\u805a\u7c7b\u7b97\u6cd5\u90fd\u8bd5\u56fe\u627e\u5230\u6570\u636e\u7684\u5185\u5728\u7ed3\u6784\uff0c\u4ee5\u4fbf\u6309\u7167\u6700\u5927\u7684\u5171\u540c\u70b9\u5c06\u6570\u636e\u8fdb\u884c\u5f52\u7c7b\u3002\u5e38\u89c1\u7684\u805a\u7c7b\u7b97\u6cd5\u5305\u62ec k-Means\u7b97\u6cd5\u4ee5\u53ca\u671f\u671b\u6700\u5927\u5316\u7b97\u6cd5\uff08Expectation Maximization\uff0cEM\uff09\u3002<\/p>\n
7\uff09. \u964d\u4f4e\u7ef4\u5ea6\u7b97\u6cd5\uff1a\u50cf\u805a\u7c7b\u7b97\u6cd5\u4e00\u6837\uff0c\u964d\u4f4e\u7ef4\u5ea6\u7b97\u6cd5\u8bd5\u56fe\u5206\u6790\u6570\u636e\u7684\u5185\u5728\u7ed3\u6784\uff0c\u4e0d\u8fc7\u964d\u4f4e\u7ef4\u5ea6\u7b97\u6cd5\u662f\u4ee5\u975e\u76d1\u7763\u5b66\u4e60\u7684\u65b9\u5f0f\u8bd5\u56fe\u5229\u7528\u8f83\u5c11\u7684\u4fe1\u606f\u6765\u5f52\u7eb3\u6216\u8005\u89e3\u91ca\u6570\u636e\u3002\u8fd9\u7c7b\u7b97\u6cd5\u53ef\u4ee5\u7528\u4e8e\u9ad8\u7ef4\u6570\u636e\u7684\u53ef\u89c6\u5316\u6216\u8005\u7528\u6765\u7b80\u5316\u6570\u636e\u4ee5\u4fbf\u76d1\u7763\u5f0f\u5b66\u4e60\u4f7f\u7528\u3002\u5e38\u89c1\u7684\u7b97\u6cd5\u5305\u62ec\uff1a\u4e3b\u6210\u4efd\u5206\u6790\uff08Principle Component Analysis\uff0cPCA\uff09\uff0c\u504f\u6700\u5c0f\u4e8c\u4e58\u56de\u5f52\uff08Partial Least Square Regression\uff0cPLS\uff09\uff0cSammon\u6620\u5c04\uff0c\u591a\u7ef4\u5c3a\u5ea6\uff08Multi-Dimensional Scaling, MDS\uff09, \u6295\u5f71\u8ffd\u8e2a\uff08Projection Pursuit\uff09\u7b49\u3002<\/p>\n
8\uff09. \u5173\u8054\u89c4\u5219\u5b66\u4e60\uff1a\u5173\u8054\u89c4\u5219\u5b66\u4e60\u901a\u8fc7\u5bfb\u627e\u6700\u80fd\u591f\u89e3\u91ca\u6570\u636e\u53d8\u91cf\u4e4b\u95f4\u5173\u7cfb\u7684\u89c4\u5219\uff0c\u6765\u627e\u51fa\u5927\u91cf\u591a\u5143\u6570\u636e\u96c6\u4e2d\u6709\u7528\u7684\u5173\u8054\u89c4\u5219\u3002\u5e38\u89c1\u7b97\u6cd5\u5305\u62ec Apriori\u7b97\u6cd5\u548cEclat\u7b97\u6cd5\u7b49\u3002<\/p>\n
9\uff09. \u96c6\u6210\u7b97\u6cd5\uff1a\u96c6\u6210\u7b97\u6cd5\u7528\u4e00\u4e9b\u76f8\u5bf9\u8f83\u5f31\u7684\u5b66\u4e60\u6a21\u578b\u72ec\u7acb\u5730\u5c31\u540c\u6837\u7684\u6837\u672c\u8fdb\u884c\u8bad\u7ec3\uff0c\u7136\u540e\u628a\u7ed3\u679c\u6574\u5408\u8d77\u6765\u8fdb\u884c\u6574\u4f53\u9884\u6d4b\u3002\u96c6\u6210\u7b97\u6cd5\u7684\u4e3b\u8981\u96be\u70b9\u5728\u4e8e\u7a76\u7adf\u96c6\u6210\u54ea\u4e9b\u72ec\u7acb\u7684\u8f83\u5f31\u7684\u5b66\u4e60\u6a21\u578b\u4ee5\u53ca\u5982\u4f55\u628a\u5b66\u4e60\u7ed3\u679c\u6574\u5408\u8d77\u6765\u3002\u8fd9\u662f\u4e00\u7c7b\u975e\u5e38\u5f3a\u5927\u7684\u7b97\u6cd5\uff0c\u540c\u65f6\u4e5f\u975e\u5e38\u6d41\u884c\u3002\u5e38\u89c1\u7684\u7b97\u6cd5\u5305\u62ec\uff1aBoosting\uff0cBootstrapped Aggregation\uff08Bagging\uff09\uff0cAdaBoost\uff0c\u5806\u53e0\u6cdb\u5316\uff08Stacked Generalization\uff0cBlending\uff09\uff0c\u68af\u5ea6\u63a8\u8fdb\u673a\uff08Gradient Boosting Machine, GBM\uff09\uff0c\u968f\u673a\u68ee\u6797\uff08Random Forest\uff09\u3002<\/p>\n
10\uff09. \u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\uff1a\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7b97\u6cd5\u6a21\u62df\u751f\u7269\u795e\u7ecf\u7f51\u7edc\uff0c\u662f\u4e00\u7c7b\u6a21\u5f0f\u5339\u914d\u7b97\u6cd5\u3002\u901a\u5e38\u7528\u4e8e\u89e3\u51b3\u5206\u7c7b\u548c\u56de\u5f52\u95ee\u9898\u3002\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u662f\u673a\u5668\u5b66\u4e60\u7684\u4e00\u4e2a\u5e9e\u5927\u7684\u5206\u652f\uff0c\u6709\u51e0\u767e\u79cd\u4e0d\u540c\u7684\u7b97\u6cd5\u3002\uff08\u5176\u4e2d\u6df1\u5ea6\u5b66\u4e60\u5c31\u662f\u5176\u4e2d\u7684\u4e00\u7c7b\u7b97\u6cd5\uff0c\u6211\u4eec\u4f1a\u5355\u72ec\u8ba8\u8bba\uff09\uff0c\u91cd\u8981\u7684\u4eba\u5de5\u795e\u7ecf\u7f51\u7edc\u7b97\u6cd5\u5305\u62ec\uff1a\u611f\u77e5\u5668\u795e\u7ecf\u7f51\u7edc\uff08Perceptron Neural Network\uff09, \u53cd\u5411\u4f20\u9012\uff08Back Propagation\uff09\uff0cHopfield\u7f51\u7edc\uff0c\u81ea\u7ec4\u7ec7\u6620\u5c04\uff08Self-Organizing Map, SOM\uff09\u3002\u5b66\u4e60\u77e2\u91cf\u91cf\u5316\uff08Learning Vector Quantization\uff0c LVQ\uff09\u3002<\/p>\n
RF\uff1a\u901a\u8fc7\u5bf9\u8bad\u7ec3\u6570\u636e\u6837\u672c\u4ee5\u53ca\u5c5e\u6027\u8fdb\u884c\u6709\u653e\u56de\u7684\u62bd\u6837\uff08\u9488\u5bf9\u67d0\u4e00\u4e2a\u5c5e\u6027\u968f\u673a\u9009\u62e9\u6837\u672c\uff09\u8fd9\u91cc\u6709\u4e24\u79cd\uff0c\u4e00\u79cd\u662f\u6bcf\u6b21\u90fd\u662f\u6709\u653e\u56de\u7684\u91c7\u6837\uff0c\u6709\u4e9b\u6837\u672c\u662f\u91cd\u590d\u7684\uff0c\u7ec4\u6210\u548c\u539f\u59cb\u6570\u636e\u96c6\u6837\u672c\u4e2a\u6570\u4e00\u6837\u7684\u6570\u636e\u96c6\uff1b\u53e6\u5916\u4e00\u79cd\u662f\u4e0d\u653e\u56de\u7684\u62bd\u6837\uff0c\u62bd\u53d6\u51fa\u5927\u7ea660%\u7684\u8bad\u7ec3\u4fe1\u606f\u3002\u7531\u6b64\u751f\u6210\u4e00\u9897CART\u6811\uff0c\u5269\u4e0b\u7684\u6837\u672c\u4fe1\u606f\u4f5c\u4e3a\u888b\u5916\u6570\u636e\uff0c\u7528\u6765\u5f53\u4f5c\u9a8c\u8bc1\u96c6\u8ba1\u7b97\u888b\u5916\u8bef\u5dee\u6d4b\u8bd5\u6a21\u578b\uff1b\u628a\u62bd\u53d6\u51fa\u7684\u6837\u672c\u4fe1\u606f\u518d\u653e\u56de\u5230\u539f\u6570\u636e\u96c6\u4e2d\uff0c\u518d\u91cd\u65b0\u62bd\u53d6\u4e00\u7ec4\u8bad\u7ec3\u4fe1\u606f\uff0c\u518d\u4ee5\u6b64\u8bad\u7ec3\u6570\u636e\u96c6\u751f\u6210\u4e00\u9897CART\u6811\u3002\u8fd9\u6837\u4f9d\u6b21\u751f\u6210\u591a\u9897CART\u6811\uff0c\u591a\u9897\u6811\u7ec4\u6210\u68ee\u6797\uff0c\u5e76\u4e14\u4ed6\u4eec\u7684\u751f\u6210\u90fd\u662f\u901a\u8fc7\u968f\u673a\u91c7\u6837\u7684\u8bad\u7ec3\u6570\u636e\u751f\u6210\uff0c\u56e0\u6b64\u53eb\u968f\u673a\u68ee\u6797\u3002RF\u53ef\u4ee5\u7528\u4e8e\u6570\u636e\u7684\u56de\u5f52\uff0c\u4e5f\u53ef\u4ee5\u7528\u4e8e\u6570\u636e\u7684\u5206\u7c7b\u3002\u56de\u5f52\u65f6\u662f\u7531\u591a\u9897\u6811\u7684\u9884\u6d4b\u7ed3\u679c\u6c42\u5747\u503c\uff1b\u5206\u7c7b\u662f\u7531\u591a\u68f5\u6811\u7684\u9884\u6d4b\u7ed3\u679c\u8fdb\u884c\u6295\u7968\u3002\u6b63\u5f0f\u7531\u4e8e\u5b83\u7684\u968f\u673a\u6027\uff0cRF\u6709\u6781\u5f3a\u7684\u9632\u6b62\u8fc7\u62df\u5408\u7684\u7279\u6027\u3002\u7531\u4e8e\u4ed6\u662f\u7531CART\u7ec4\u6210\uff0c\u56e0\u6b64\u5b83\u7684\u8bad\u7ec3\u6570\u636e\u4e0d\u9700\u8981\u8fdb\u884c\u5f52\u4e00\u5316\uff0c\u56e0\u4e3a\u6bcf\u8bfe\u7684\u5efa\u7acb\u8fc7\u7a0b\u90fd\u662f\u901a\u8fc7\u9009\u62e9\u4e00\u4e2a\u80fd\u6700\u597d\u7684\u5bf9\u6570\u636e\u6837\u672c\u8fdb\u884c\u9009\u62e9\u7684\u5c5e\u6027\u6765\u5efa\u7acb\u5206\u53c9\uff0c\u56e0\u6b64\u6709\u4ee5\u4e0a\u597d\u5904\u7684\u540c\u65f6\u4e5f\u5e26\u6765\u4e86\u4e00\u4e2a\u7f3a\u70b9\uff0c\u90a3\u5c31\u662f\u5ffd\u7565\u4e86\u5c5e\u6027\u4e0e\u5c5e\u6027\u4e4b\u95f4\u7684\u5173\u7cfb\u3002<\/p>\n
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<pre><code> "“`
\n<\/code><\/pre>\n","protected":false},"excerpt":{"rendered":"
“`” \u53c2\u8003\u56de\u7b54\uff1a \u5e38\u89c1\u7684\u673a\u5668\u5b66\u4e60\u7b97\u6cd5\uff1a 1\uff09. \u56de\u5f52\u7b97\u6cd5\uff1a\u56de\u5f52\u7b97\u6cd5\u662f\u8bd5\u56fe\u91c7\u7528\u5bf9\u8bef\u5dee\u7684 […]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[101],"tags":[],"class_list":["post-44999","post","type-post","status-publish","format-standard","hentry","category-c"],"_links":{"self":[{"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/posts\/44999","targetHints":{"allow":["GET"]}}],"collection":[{"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/users\/7"}],"replies":[{"embeddable":true,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/comments?post=44999"}],"version-history":[{"count":1,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/posts\/44999\/revisions"}],"predecessor-version":[{"id":45000,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/posts\/44999\/revisions\/45000"}],"wp:attachment":[{"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/media?parent=44999"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/categories?post=44999"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/wx.kaifamiao.info\/index.php\/wp-json\/wp\/v2\/tags?post=44999"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}