crossvalidate/xvlabels.stjson at main · wbuchanan/crossvalidate · GitHub

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{
  "Labels": {
    "Dimensions": {
      "_dimensions": {
        "border_block": "Table border block",
        "cell_type": "Table cell type",
        "cmdset": "Command results index",
        "colname": "Covariate names and column names",
        "program_class": "Result program class",
        "result": "Result",
        "result_type": "Result type",
        "rowname": "Row names"
      },
      "result_type": {
        "matrix": "Matrix"
      },
      "rowname": {
        "acc": "Accuracy",
        "bacc": "Balanced Accuracy",
        "bias": "Total (Bias) Error",
        "binr2": "Tetrachoric Correlation Coefficient",
        "ccc": "Concordance Correlation Coefficient",
        "f1": "F1 Statistic",
        "huber": "Huber Loss",
        "iic": "Index of Ideality of Correlation",
        "jindex": "Youden's J Statistic",
        "mae": "Mean Absolute Error",
        "mape": "Mean Absolute Percentage Error",
        "mbe": "Mean (Bias) Error",
        "mcacc": "Multiclass Accuracy",
        "mcbacc": "Multiclass Balanced Accuracy",
        "mcc": "Matthews Correlation Coefficient",
        "mcdetect": "Multiclass Detection Prevalence",
        "mcf1": "Multiclass F1 Statistic",
        "mcjindex": "Multiclass Youden's J Statistic",
        "mckappa": "Multiclass Kappa",
        "mcmcc": "Multiclass Matthews Correlation Coefficient",
        "mcnpv": "Multiclass Negative Predictive Value",
        "mcordr2": "Polychoric Correlation Coefficient ***",
        "mcppv": "Multiclass Positive Predictive Value",
        "mcprec": "Multiclass Precision",
        "mcprev": "Multiclass Prevalence",
        "mcrecall": "Multiclass Recall",
        "mcsens": "Multiclass Sensitivity",
        "mcspec": "Multiclass Specificity",
        "mse": "Mean Squared Error",
        "msle": "Mean Squared Log Error",
        "npv": "Negative Predictive Value",
        "phl": "Pseudo-Huber Loss",
        "pll": "Poisson Log Loss",
        "ppv": "Positive Predictive Value",
        "prec": "Precision",
        "prev": "Prevalence",
        "r2": "Pearson Correlation Coefficient",
        "r2ss": "Traditional R^2",
        "recall": "Recall",
        "rmse": "Root Mean Squared Error",
        "rmsle": "Root Mean Squared Log Error",
        "rpd": "Ratio of Performance to Deviation",
        "rpiq": "Ratio of Performance to Interquartile Range",
        "sens": "Sensitivity",
        "smape": "Symmetric Mean Absolute Percentage Error",
        "spec": "Specificity"
      }
    }
  }
}