diff --git a/IntroductionToNumpy/dataset/iris.data b/IntroductionToNumpy/dataset/iris.data new file mode 100644 index 0000000..12ceee5 --- /dev/null +++ b/IntroductionToNumpy/dataset/iris.data @@ -0,0 +1,300 @@ +5.1,3.5,1.4,0.2,Iris-setosa + +4.9,3.0,1.4,0.2,Iris-setosa + +4.7,3.2,1.3,0.2,Iris-setosa + +4.6,3.1,1.5,0.2,Iris-setosa + +5.0,3.6,1.4,0.2,Iris-setosa + +5.4,3.9,1.7,0.4,Iris-setosa + +4.6,3.4,1.4,0.3,Iris-setosa + +5.0,3.4,1.5,0.2,Iris-setosa + +4.4,2.9,1.4,0.2,Iris-setosa + +4.9,3.1,1.5,0.1,Iris-setosa + +5.4,3.7,1.5,0.2,Iris-setosa + +4.8,3.4,1.6,0.2,Iris-setosa + +4.8,3.0,1.4,0.1,Iris-setosa + +4.3,3.0,1.1,0.1,Iris-setosa + +5.8,4.0,1.2,0.2,Iris-setosa + +5.7,4.4,1.5,0.4,Iris-setosa + +5.4,3.9,1.3,0.4,Iris-setosa + +5.1,3.5,1.4,0.3,Iris-setosa + +5.7,3.8,1.7,0.3,Iris-setosa + +5.1,3.8,1.5,0.3,Iris-setosa + +5.4,3.4,1.7,0.2,Iris-setosa + +5.1,3.7,1.5,0.4,Iris-setosa + +4.6,3.6,1.0,0.2,Iris-setosa + +5.1,3.3,1.7,0.5,Iris-setosa + +4.8,3.4,1.9,0.2,Iris-setosa + 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Title: Iris Plants Database + + Updated Sept 21 by C.Blake - Added discrepency information + + +2. Sources: + + (a) Creator: R.A. Fisher + + (b) Donor: Michael Marshall (MARSHALL%PLU@io.arc.nasa.gov) + + (c) Date: July, 1988 + + +3. Past Usage: + + - Publications: too many to mention!!! Here are a few. + + 1. Fisher,R.A. "The use of multiple measurements in taxonomic problems" + + Annual Eugenics, 7, Part II, 179-188 (1936); also in "Contributions + + to Mathematical Statistics" (John Wiley, NY, 1950). + + 2. Duda,R.O., & Hart,P.E. (1973) Pattern Classification and Scene Analysis. + + (Q327.D83) John Wiley & Sons. ISBN 0-471-22361-1. See page 218. + + 3. Dasarathy, B.V. (1980) "Nosing Around the Neighborhood: A New System + + Structure and Classification Rule for Recognition in Partially Exposed + + Environments". IEEE Transactions on Pattern Analysis and Machine + + Intelligence, Vol. PAMI-2, No. 1, 67-71. + + -- Results: + + -- very low misclassification rates (0% for the setosa class) + + 4. Gates, G.W. (1972) "The Reduced Nearest Neighbor Rule". IEEE + + Transactions on Information Theory, May 1972, 431-433. + + -- Results: + + -- very low misclassification rates again + + 5. See also: 1988 MLC Proceedings, 54-64. Cheeseman et al's AUTOCLASS II + + conceptual clustering system finds 3 classes in the data. + + +4. Relevant Information: + + --- This is perhaps the best known database to be found in the pattern + + recognition literature. Fisher's paper is a classic in the field + + and is referenced frequently to this day. (See Duda & Hart, for + + example.) The data set contains 3 classes of 50 instances each, + + where each class refers to a type of iris plant. One class is + + linearly separable from the other 2; the latter are NOT linearly + + separable from each other. + + --- Predicted attribute: class of iris plant. + + --- This is an exceedingly simple domain. + + --- This data differs from the data presented in Fishers article + + (identified by Steve Chadwick, spchadwick@espeedaz.net ) + + The 35th sample should be: 4.9,3.1,1.5,0.2,"Iris-setosa" + + where the error is in the fourth feature. + + The 38th sample: 4.9,3.6,1.4,0.1,"Iris-setosa" + + where the errors are in the second and third features. + + +5. Number of Instances: 150 (50 in each of three classes) + + +6. Number of Attributes: 4 numeric, predictive attributes and the class + + +7. Attribute Information: + + 1. sepal length in cm + + 2. sepal width in cm + + 3. petal length in cm + + 4. petal width in cm + + 5. class: + + -- Iris Setosa + + -- Iris Versicolour + + -- Iris Virginica + + +8. Missing Attribute Values: None + + +Summary Statistics: + + Min Max Mean SD Class Correlation + + sepal length: 4.3 7.9 5.84 0.83 0.7826 + + sepal width: 2.0 4.4 3.05 0.43 -0.4194 + + petal length: 1.0 6.9 3.76 1.76 0.9490 (high!) + + petal width: 0.1 2.5 1.20 0.76 0.9565 (high!) + + +9. Class Distribution: 33.3% for each of 3 classes.