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  • January 22, 2019Miscellaneous

    How are feature selection and classification techniques used?

    How are feature selection and classification techniques used? This paper presents a survey on the utilization of feature selection and classification techniques for the diagnosis…

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  • January 22, 2019Popular

    What is considered a systematic error?

    What is considered a systematic error? An error is considered systematic if it consistently changes in the same direction. For example, this could happen with…

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  • January 22, 2019Guidelines

    What is epoch in Q learning?

    What is epoch in Q learning? one epoch = one forward pass and one backward pass of all the training examples, in the neural network…

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  • January 22, 2019Blog

    Is SEM a causal model?

    Is SEM a causal model? SEM is an inference engine that takes in two inputs, qualitative causal assumptions and empirical data, and derives two logical…

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  • January 22, 2019Helpful tips

    What is the difference between inter and intra-rater reliability?

    What is the difference between inter and intra-rater reliability? Intrarater reliability is a measure of how consistent an individual is at measuring a constant phenomenon,…

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  • January 22, 2019Popular

    How do I start off with machine learning?

    How do I start off with machine learning? My best advice for getting started in machine learning is broken down into a 5-step process: Step…

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  • January 22, 2019Guidelines

    What is a response variable and predictor variable?

    What is a response variable and predictor variable? Variables of interest in an experiment (those that are measured or observed) are called response or dependent…

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  • January 22, 2019Helpful tips

    Does odds ratio depend on prevalence?

    Does odds ratio depend on prevalence? Unfortunately, there is a recognised problem that odds ratios do not approximate well to the relative risk when the…

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  • January 22, 2019Helpful tips

    Why is the accuracy of a random forest typically higher than that for a single tree?

    Why is the accuracy of a random forest typically higher than that for a single tree? But the random forest chooses features randomly during the…

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  • January 22, 2019Contributing

    How are covariates used in analysis of categorical variables?

    How are covariates used in analysis of categorical variables? Analysis of covariance is used to test the main and interaction effects of categorical variables on…

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