visualize.props

wekaUT是 university texas austin 开发的基于weka的半指导学习(semi supervised learning)的分类器

# Properties for visualization

# Maximum precision for numeric values
weka.gui.visualize.precision=10

# Colour for the axis in the 2D plot (can use R,G,B format)
weka.gui.visualize.Plot2D.axisColour=green

# Colour for the background of the 2D plot (can use R,G,B format)
weka.gui.visualize.Plot2D.backgroundColour=black

# Display the list of one dimensional attribute visualizations
weka.gui.visualize.VisualizePanel.displayAttributeBars=true

# Colour for the background of the attribute bars in the
# AttributePanel (can use R,G,B format)
weka.gui.visualize.AttributePanel.barColour=black

# If you regularly visualize certain datasets with the same structure
# you might want to define default x, y and colour dimensions (attributes)
# to visualize on.
# Just uncomment and set up the following
# weka.gui.visualize.VisualizePanel.<relation name>.XDimension=<attribute name>
# weka.gui.visualize.VisualizePanel.<relation name>.YDimension=<attribute name>
# weka.gui.visualize.VisualizePanel.<relation name>.ColourDimension=<attribute name>
# NOTE: spaces in relation names can be handled by using 
# escape characters (java 1.2), eg. my\ first\ relation\ name

# Defaults for threshold curve plots
weka.gui.visualize.VisualizePanel.ThresholdCurve.XDimension=Recall
weka.gui.visualize.VisualizePanel.ThresholdCurve.YDimension=Precision
weka.gui.visualize.VisualizePanel.ThresholdCurve.ColourDimension=Threshold

#Defaults for cost curve plots
weka.gui.visualize.VisualizePanel.CostCurve.XDimension=Probability\ Cost\ Function
weka.gui.visualize.VisualizePanel.CostCurve.YDimension=Normalized\ Expected\ Cost
weka.gui.visualize.VisualizePanel.CostCurve.ColourDimension=Threshold

# Defaults for margin curve plots
weka.gui.visualize.VisualizePanel.MarginCurve.XDimension=Margin
weka.gui.visualize.VisualizePanel.MarginCurve.YDimension=Cumulative
weka.gui.visualize.VisualizePanel.MarginCurve.ColourDimension=Margin