Lecture 8: Machine Learning in Practice (I)

Machine Learning in Practice (I)

Topics: evaluation, t-¬≠test, cost-sensitive measures, occam’s razor, k-statistic, lift charts, ROC curves, recall-precision curves, loss function, counting the cost, weka

Machine Learning in Practice (I)

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