{
	"adjusted": "调整后",
	"aic": "阿卡克信息标准(AIC)",
	"algorithm-converged": "该算法在{{n}}次迭代后收敛。",
	"algorithm-not-converged": "该算法在{{n}}次迭代后没有收敛。",
	"apriori-probs": "先验概率",
	"change-in-log": "与各预测因子的单位增长相关的对数几率变化",
	"close": "关闭",
	"cluster": "簇",
	"coefficient": "系数",
	"conditionals": "条件",
	"created-from-trees": "通过检查{{nTrees}}树的每个分割点的特征，从{{nTrees}}树中创建。",
	"cumulative-variance": "累计差异比例",
	"decision-tree": "决策树",
	"decision-tree-for": "{{y}}的决策树。(模型id: tree{{counter}})",
	"drag-plot": "拖拽情节",
	"explained-proportion": "解释比例",
	"f-statistic": "F统计量",
	"fisher-scoring-converged": "该算法在{{n}}后收敛。费雪评分迭代",
	"fisher-scoring-not-converged": "该算法在{{n}}后没有收敛。费雪评分迭代",
	"fitted-values": "装配值",
	"grouped-by": "按组别划分",
	"hierarchical-clustering": "层次化聚类",
	"hierarchical-clustering-summary": "层次聚类总结",
	"importance": "重要性",
	"intercept": "拦截",
	"kkt-not-satisfied": "不满足最优解的Karush-Khun-Tucker（KKT）条件。",
	"kkt-satisfied": "满足最优解的Karush-Khun-Tucker（KKT）条件。",
	"kmeans-summary": "kmeans总结",
	"lambda-not-number": "`lambda`必须是一个数字。",
	"lasso-title": "LASSO回归反应{{y}}。(模型id：lasso{{counter}}，lambda：{{lambda}})",
	"logistic-title": "回归总结的对策{{y}}。(模型ID：logis{{counter}})",
	"mean": "平均值",
	"missing-attributes": "无法估计模型。请检查是否提供了所有必要的属性。",
	"missing-excluded": "{{nRemoved}缺失的观察值被排除在数据之外。",
	"model-diagnostics": "模型诊断",
	"multiple-regression-title": "回归总结的对策{{y}}。(型号id：lm{{counter}})",
	"naive-bayes-for-response": "Naive Bayes for Response {{y}}。(model id: bayes{{counter}} )",
	"name-of-predictor": "预测器名称",
	"no": "没有",
	"number-of-clusters": "集群的数量",
	"obs": "痴迷",
	"p-value": "p值",
	"p-value-coefficient-zero": "系数为零的假设的p值。",
	"pca-summary": "PCA摘要",
	"predict": "预测",
	"predictions-attached": "预测将附在数据表中",
	"predictor": "预测器",
	"principal-component": "主要成分",
	"proportion-of-variance": "差异比例",
	"qq-plot-of-residuals": "QQ残局",
	"random-forest-for": "{{y}}的随机森林(模型id：forest{{counter}})",
	"regression-y-on-x": "{{y}}对{{x}}的回归。",
	"residual-standard-error": "残余标准误差",
	"residuals": "残留物",
	"residuals-vs-fitted": "残余与贴合",
	"sd": "自毁",
	"simple-regression-title": "{{y}}对{{x}}的回归。(型号id：slm{{counter}})",
	"size": "尺寸",
	"standard-deviation": "标准偏差",
	"standard-deviation-coefficient": "系数估计的标准偏差",
	"std-error": "标准误差",
	"test-statistic-coefficient-zero": "检验系数为零的假设的统计量",
	"threshold": "阈值",
	"toggle-fullscreen": "切换全屏视图",
	"total-within-group-sum-of-squares": "组内总和",
	"use-model-to-predict": "使用该模型对当前选定的数据进行预测",
	"use-model-to-predict-tooltip": "预测和残差将附在数据表中。",
	"use-model-to-predict-tooltip-logistic": "概率、残差和预测类别（使用所选的预测成功的概率阈值）将附在数据表中。",
	"variable": "可变",
	"within-group-sum-of-squares": "组内方差之和",
	"yes": "是的"
}