0 1238 Public lung-cancer active 1 ARFF https://www.openml.org/data/download/3584/dataset_105_lung-cancer.arff public 17 lung-cancer class 2014-01-23T12:11:37Z **Author**: **Source**: Unknown - **Please cite**: 1. Title: Lung Cancer Data 2. Source Information: - Data was published in : Hong, Z.Q. and Yang, J.Y. "Optimal Discriminant Plane for a Small Number of Samples and Design Method of Classifier on the Plane", Pattern Recognition, Vol. 24, No. 4, pp. 317-324, 1991. - Donor: Stefan Aeberhard, stefan@coral.cs.jcu.edu.au - Date : May, 1992 3. Past Usage: - Hong, Z.Q. and Yang, J.Y. "Optimal Discriminant Plane for a Small Number of Samples and Design Method of Classifier on the Plane", Pattern Recognition, Vol. 24, No. 4, pp. 317-324, 1991. - Aeberhard, S., Coomans, D, De Vel, O. "Comparisons of Classification Methods in High Dimensional Settings", submitted to Technometrics. - Aeberhard, S., Coomans, D, De Vel, O. "The Dangers of Bias in High Dimensional Settings", submitted to pattern Recognition. 4. Relevant Information: - This data was used by Hong and Young to illustrate the power of the optimal discriminant plane even in ill-posed settings. Applying the KNN method in the resulting plane gave 77% accuracy. However, these results are strongly biased (See Aeberhard's second ref. above, or email to stefan@coral.cs.jcu.edu.au). Results obtained by Aeberhard et al. are : RDA : 62.5%, KNN 53.1%, Opt. Disc. Plane 59.4% The data described 3 types of pathological lung cancers. The Authors give no information on the individual variables nor on where the data was originally used. - In the original data 4 values for the fifth attribute were -1. These values have been changed to ? (unknown). (*) - In the original data 1 value for the 39 attribute was 4. This value has been changed to ? (unknown). (*) 5. Number of Instances: 32 6. Number of Attributes: 57 (1 class attribute, 56 predictive) 7. Attribute Information: attribute 1 is the class label. - All predictive attributes are nominal, taking on integer values 0-3 8. Missing Attribute Values: Attributes 5 and 39 (*) 9. Class Distribution: - 3 classes, 1.) 9 observations 2.) 13 " 3.) 10 " Information about the dataset CLASSTYPE: nominal CLASSINDEX: first 1 2014-01-23T12:11:37Z