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
Category: Operant learning
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