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Modern Methods for Sentiment Analysis. Modern Methods for Sentiment Analysis. Gbdt auc: %.5f'. 基于原有特征的LR AUC: %.5f'. 基于GBDT特征编码后的LR AUC: %.5f'. 基于组合特征的LR AUC: %.5f'. Data/sample libsvm data.txt'. Xgboost test auc: %.5f'. Transform features genenrated by xgboost.'. Write xgboost learned features to file .'. 基于原有特征的LR AUC: %.5f'. 基于Xgboost特征编码后的LR AUC: %.5f'. 基于组合特征的LR AUC: %.5f'. Data/sample libsvm data.txt". Data/sample libsvm data.txt". Loss functions for classification. 风控 如何构建 FinTech 科学反欺诈体系. 修改保存后,下...

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Modern Methods for Sentiment Analysis. Modern Methods for Sentiment Analysis. Gbdt auc: %.5f'. 基于原有特征的LR AUC: %.5f'. 基于GBDT特征编码后的LR AUC: %.5f'. 基于组合特征的LR AUC: %.5f'. Data/sample libsvm data.txt'. Xgboost test auc: %.5f'. Transform features genenrated by xgboost.'. Write xgboost learned features to file .'. 基于原有特征的LR AUC: %.5f'. 基于Xgboost特征编码后的LR AUC: %.5f'. 基于组合特征的LR AUC: %.5f'. Data/sample libsvm data.txt. Data/sample libsvm data.txt. Loss functions for classification. 风控 如何构建 FinTech 科学反欺诈体系. 修改保存后,下...
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iDataMining.net - 爱数据挖掘 · 飞翔 | idatamining.net Reviews

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Modern Methods for Sentiment Analysis. Modern Methods for Sentiment Analysis. Gbdt auc: %.5f'. 基于原有特征的LR AUC: %.5f'. 基于GBDT特征编码后的LR AUC: %.5f'. 基于组合特征的LR AUC: %.5f'. Data/sample libsvm data.txt'. Xgboost test auc: %.5f'. Transform features genenrated by xgboost.'. Write xgboost learned features to file .'. 基于原有特征的LR AUC: %.5f'. 基于Xgboost特征编码后的LR AUC: %.5f'. 基于组合特征的LR AUC: %.5f'. Data/sample libsvm data.txt". Data/sample libsvm data.txt". Loss functions for classification. 风控 如何构建 FinTech 科学反欺诈体系. 修改保存后,下...

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iDataMining.net - 爱数据挖掘 · 飞翔

Modern Methods for Sentiment Analysis. Modern Methods for Sentiment Analysis. Gbdt auc: %.5f'. 基于原有特征的LR AUC: %.5f'. 基于GBDT特征编码后的LR AUC: %.5f'. 基于组合特征的LR AUC: %.5f'. Data/sample libsvm data.txt'. Xgboost test auc: %.5f'. Transform features genenrated by xgboost.'. Write xgboost learned features to file .'. 基于原有特征的LR AUC: %.5f'. 基于Xgboost特征编码后的LR AUC: %.5f'. 基于组合特征的LR AUC: %.5f'. Data/sample libsvm data.txt". Data/sample libsvm data.txt". Loss functions for classification. 风控 如何构建 FinTech 科学反欺诈体系. 修改保存后,下...

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