29 lines
620 B
ObjectPascal
29 lines
620 B
ObjectPascal
uses MLABC;
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begin
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var ds := Datasets.MoscowHousing;
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var df := ds.Data;
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var features := ['rooms', 'area', 'kitchen_area', 'floor', 'floors_total', 'metro_minutes', 'renovation'];
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var target := 'price';
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var (trainDf, testDf) := df.TrainTestSplit(0.2, seed := 42);
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var pipe :=
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DataPipeline.Build(
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TaskKind.tkRegression,
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target,
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features,
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new OneHotEncoder('renovation'),
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new StandardScaler,
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new LinearRegression
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);
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pipe.Fit(trainDf);
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var pred := pipe.Predict(testDf);
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var y := testDf.ToVector(target);
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Println('R²:', Metrics.R2(y, pred):0:3);
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end. |