summary of self learning test data, and standardize data

on Monday, April 10th, 2017 1:19 | by Weitian Sun

PKG-rover:

N = 24

pretest1 : -0.58

training1:0.53

training2:0.64

test1:0.22

training3:0.82

training4:0.84

test2:0.23

Standardization: ALL data +2?, then (test2-pretest)/pretest

standardized test2: 0.71

PKG-sitter:

N = 10

pretest1 : -0.24

training1:0.37

training2:0.58

test1:0.20

training3:0.75

training4:0.72

test2:0.41

standardized test2: 0.48

WTB:

N = 13

pretest1 : -0.46

training1:0.70

training2:0.73

test1:-0.01

training3:0.76

training4:0.81

test2:0.16

standardized test2: 0.57

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Category: Operant learning

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