analytics
The UCIMLMeta class is used to extract meta-data from a Web page.
The PokerBayes object is a sample application that uses the NaiveBayes
class.
The PokerBayes object is a sample application that uses the NaiveBayes
class. Classify a poker hand consisting of 5 cards. The hand is to be
classified as one of the following types of hands:
0: Nothing in hand; not a recognized poker hand 1: One pair; one pair of equal ranks within five cards 2: Two pairs; two pairs of equal ranks within five cards 3: Three of a kind; three equal ranks within five cards 4: Straight; five cards, sequentially ranked with no gaps 5: Flush; five cards with the same suit 6: Full house; pair + different rank three of a kind 7: Four of a kind; four equal ranks within five cards 8: Straight flush; straight + flush 9: Royal flush; {Ace, King, Queen, Jack, Ten} + flush
http://archive.ics.uci.edu/ml/datasets/Poker+Hand
http://archive.ics.uci.edu/ml/machine-learning-databases/poker/poker-hand.names
The TempPerceptron object trains a perceptron on a small dataset of
temperatures from counties in Texas where the variables/factors to consider
are Latitude (x1), Elevation (x2) and Longitude (x3).
The TempPerceptron object trains a perceptron on a small dataset of
temperatures from counties in Texas where the variables/factors to consider
are Latitude (x1), Elevation (x2) and Longitude (x3). The regression equation
is the following:
y = sigmoid (w dot x) = sigmoid (w0 + w1*x1 + w2*x2 + w3*x3)
The TempRegression object performs regression on a small dataset of
temperatures from counties in Texas where the variables/factors to consider
are Latitude (x1), Elevation (x2) and Longitude (x3).
The TempRegression object performs regression on a small dataset of
temperatures from counties in Texas where the variables/factors to consider
are Latitude (x1), Elevation (x2) and Longitude (x3). The regression equation
is the following:
y = b dot x = b0 + b1*x1 + b2*x2 + b3*x3
A fit is created for both the full model and a reduce model created using backward elimination.
www.stat.ufl.edu/~winner/cases/txtemp.ppt
The TennisBayes object is a sample application that uses the NaiveBayes
class.
The TennisBayes object is a sample application that uses the NaiveBayes
class. Classify (No/Yes) whether a person will play tennis based on the
measured integer-valued features.
http://suanpalm3.kmutnb.ac.th/teacher/FileDL/choochart82255418560.pdf
The UCIML object extracts meta-data from Web pages at the University of
California, Irvine (UCI) Machine Learning Repository.
The UCIML object extracts meta-data from Web pages at the University of
California, Irvine (UCI) Machine Learning Repository.
http://archive.ics.uci.edu/ml/
The analytics package contains example apps for analytics: prediction, classification or clustering.