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2 changes: 1 addition & 1 deletion samples/fsharp/common/AutoML/ConsoleHelper.fs
Original file line number Diff line number Diff line change
Expand Up @@ -37,7 +37,7 @@ let printMultiClassClassificationMetrics name (metrics : MulticlassClassificatio
printfn "* Metrics for %s multi-class classification model " name
printfn "*-----------------------------------------------------------"
printfn " AccuracyMacro = %.4f, a value between 0 and 1, the closer to 1, the better" metrics.MacroAccuracy
printfn " AccuracyMicro = %.4f, a value between 0 and 1, the closer to 1, the better" metrics.MacroAccuracy
printfn " AccuracyMicro = %.4f, a value between 0 and 1, the closer to 1, the better" metrics.MicroAccuracy
printfn " LogLoss = %.4f, the closer to 0, the better" metrics.LogLoss
printfn " LogLoss for class 1 = %.4f, the closer to 0, the better" metrics.PerClassLogLoss.[0]
printfn " LogLoss for class 2 = %.4f, the closer to 0, the better" metrics.PerClassLogLoss.[1]
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2 changes: 1 addition & 1 deletion samples/fsharp/common/ConsoleHelper.fs
Original file line number Diff line number Diff line change
Expand Up @@ -51,7 +51,7 @@ module ConsoleHelper =
printfn "* Metrics for %s multi-class classification model " name
printfn "*-----------------------------------------------------------"
printfn " AccuracyMacro = %.4f, a value between 0 and 1, the closer to 1, the better" metrics.MacroAccuracy
printfn " AccuracyMicro = %.4f, a value between 0 and 1, the closer to 1, the better" metrics.MacroAccuracy
printfn " AccuracyMicro = %.4f, a value between 0 and 1, the closer to 1, the better" metrics.MicroAccuracy
printfn " LogLoss = %.4f, the closer to 0, the better" metrics.LogLoss
printfn " LogLoss for class 1 = %.4f, the closer to 0, the better" metrics.PerClassLogLoss.[0]
printfn " LogLoss for class 2 = %.4f, the closer to 0, the better" metrics.PerClassLogLoss.[1]
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