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Choosing the best set of hyperparameters based on:
algorithm
days
yesterday
the past
exponential
the average over the
caret
n days
moving average
whole training set
1
10.66
10.60
10.67
10.58
10.51
lm
3
10.75
10.72
10.84
10.69
10.69
7
10.78
10.90
10.83
10.87
10.77
1
12.50
10.68
11.12
10.68
10.89
gbm
3
12.49
10.58
10.92
10.50
10.78
7
12.11
10.73
11.03
10.57
10.72
1
10.72
10.51
10.59
10.51
10.51
glmnet
3
10.85
10.69
10.74
10.69
10.69
7
10.86
10.76
10.84
10.76
10.76
1
12.81
12.57
12.62
12.77
12.36
knn
3
12.85
12.58
12.78
12.87
12.51
7
12.65
12.45
12.41
12.47
12.33
1
11.09
10.84
11.04
11.55
10.89
rf
3
10.98
10.80
10.83
11.85
10.78
7
10.92
10.78
10.79
11.99
10.72
