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What is the difference between linear regression and logistic regression?
When we have to predict the value of a categorical (or discrete) outcome we use logistic regression . I believe we use linear regression to also predict the value of an outcome given the input values.
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Is there a library function for Root mean square error (RMSE) in python?
...red_error
from math import sqrt
rms = sqrt(mean_squared_error(y_actual, y_predicted))
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Creating temporary files in bash
...fix and use that as a temporary file name. This kind
of naming scheme is predictable and the race condition it creates is
easy for an attacker to win. A safer, though still inferior, approach
is to make a temporary directory using the same naming scheme. While
this does allow one to guarant...
Nearest neighbors in high-dimensional data?
...your data--rarely is it possible to build a kNN model to generate accurate predictions without doing this. For instance, if you are building a kNN model to predict athletic performance, and your expectation variables are height (cm), weight (kg), bodyfat (%), and resting pulse (beats per minute), th...
What is “entropy and information gain”?
...her m or f, we want to learn a model that fits the data and can be used to predict the gender of a new unseen first-name.
name gender
----------------- Now we want to predict
Ashley f the gender of "Amro" (my name)
Brian m
Caroline f
David m
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A simple explanation of Naive Bayes Classification
...thms need to be trained for supervised learning tasks like classification, prediction etc. or for unsupervised learning tasks like clustering.
During the training step, the algorithms are taught with a particular input dataset (training set) so that later on we may test them for unknown inputs (whi...
Why does one hot encoding improve machine learning performance?
...learning algorithms, it gives significantly better results with respect to prediction accuracy, compared to using the original matrix itself as training data. How does this performance increase happen?
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Why is processing a sorted array slower than an unsorted array?
...omly generated. This means that the memory accesses to tuple members are unpredictable. The CPU cannot prefetch memory and almost every access to a tuple is a cache miss.
This is a nice example for a specific advantage of GC memory management: data structures which have been allocated together and ...
When to choose checked and unchecked exceptions
... which is why they are so terrible.
Checked Exceptions should be used for predictable, but unpreventable errors that are reasonable to recover from.
Unchecked Exceptions should be used for everything else.
I'll break this down for you, because most people misunderstand what this means.
Predicta...
What is the advantage of GCC's __builtin_expect in if else statements?
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This may also embed hints for the CPU branch predictor, improving pipelining
– Hasturkun
Sep 8 '11 at 13:48
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