山丘（地形中的“凹凸”）或山谷数据集

Lee Graham (lee '@' stellaralchemy.com) Franz Oppacher (oppacher '@' scs.carleton.ca) Carleton University, Department of Computer Science Intelligent Systems Research Unit 1125 Colonel By Drive, Ottawa, Ontario, Canada, K1S5B6 Data Set Information: Each record represents 100 points on a two-dimensional graph. When plotted in order (from 1 through 100) as the Y co-ordinate, the points will create either a Hill (a “bump” in the terrain) or a Valley (a “dip” in the terrain). There are six files, as follows: (a) Hill_Valley_without_noise_Training.data (b) Hill_Valley_without_noise_Testing.data These first two datasets (without noise) are a training/testing set pair where the hills or valleys have a smooth transition. (c) Hill_Valley_with_noise_Training.data (d) Hill_Valley_with_noise_Testing.data These next two datasets (with noise) are a training/testing set pair where the terrain is uneven, and the hill or valley is not as obvious when viewed closely. (e) Hill_Valley_sample_arff.text The sample ARFF file is useful for setting up experiments, but is not necessary. (f) Hill_Valley_visual_examples.jpg This graphic file shows two example instances from the data. Attribute Information: 1-100: Labeled “X##”. Floating point values (numeric) 101: Labeled “class”. Binary {0, 1} representing {valley, hill} Relevant Papers: 1. Non-published. evaluation of dataset by various learning algorithms in the Waikato Environment for Knowledge Analysis (WEKA). Citation Request: Please refer to the Machine Learning Repository's citation policy