leake
	explanation is an inference procedure
	different for each <audience,goals, backgroundK>

BSC perspective
	perspectives, each with
		objectives (highest-level concepts)
		measures   (some subset of which are the observables)
		targets    (measure OP threshold)
		initiative (what are we doing about this)
tufte
	informative diagrams
	space shuttle example
		skew the example with correlated columns

information smaller than data
	must apply some bias to reduce it
	bias makes us blind, bias lets us see (the future)
dimensionality reduction
	e.g. remove correlated columns
	e.g. remove non-informative attributes

validation
	best: on new data
	worst: on old data (can't predict error on new data)
	middle: cross-val
		jack-knifing: leave one out
		bootstrap: 66% random samples
			- note, trick: boosting- focus on prior
				mis-classified examples
		10-way: usual
		3-way: for small data sets