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Evaluasi Data Mining
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Syarat penyelesaian
Materi Evaluasi Data Mining
1.Estimation:
ΓÇôError:
Root Mean Square Error (RMSE), MSE, MAPE, etc
2.Prediction/Forecasting
(Prediksi/Peramalan):
ΓÇôError:
Root Mean Square Error (RMSE) , MSE, MAPE, etc
3.Classification:
ΓÇôConfusion Matrix:
Accuracy
ΓÇôROC
Curve:
Area
Under
Curve
(AUC)
4.Clustering:
ΓÇôInternal
Evaluation:
DaviesΓÇôBouldin
index,
Dunn
index,
ΓÇôExternal
Evaluation:
Rand measure,
F-measure,
Jaccard
index,
FowlkesΓÇôMallows
index,
Confusion
matrix
5.Association:
ΓÇôLift
Charts:
Lift Ratio
ΓÇôPrecision and Recall (F-measure)