out-f2j.log

----- Run 1
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 115s (114506360463ns)
Elapsed time for Model Test: 0s (38181525ns)
Test set accuracy = 0.972972972972973
----- Run 2
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 111s (110906196689ns)
Elapsed time for Model Test: 0s (38047893ns)
Test set accuracy = 0.972972972972973
----- Run 3
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 111s (110585014148ns)
Elapsed time for Model Test: 0s (50310890ns)
Test set accuracy = 0.972972972972973
----- Run 4
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 113s (112786512571ns)
Elapsed time for Model Test: 0s (39682051ns)
Test set accuracy = 0.972972972972973
----- Run 5
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 110s (109644028887ns)
Elapsed time for Model Test: 0s (43937838ns)
Test set accuracy = 0.972972972972973
----- Run 6
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 111s (111080064315ns)
Elapsed time for Model Test: 0s (47603125ns)
Test set accuracy = 0.972972972972973
----- Run 7
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 110s (110447604070ns)
Elapsed time for Model Test: 0s (44323512ns)
Test set accuracy = 0.972972972972973
----- Run 8
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 115s (114793529076ns)
Elapsed time for Model Test: 0s (44643903ns)
Test set accuracy = 0.972972972972973
----- Run 9
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 114s (113693218332ns)
Elapsed time for Model Test: 0s (49444095ns)
Test set accuracy = 0.972972972972973
----- Run 10
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 113s (113408641962ns)
Elapsed time for Model Test: 0s (48842389ns)
Test set accuracy = 0.972972972972973

out-vector.log

----- Run 1
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 83s (82650121385ns)
Elapsed time for Model Test: 0s (39556222ns)
Test set accuracy = 0.972972972972973
----- Run 2
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 77s (76931967955ns)
Elapsed time for Model Test: 0s (37608029ns)
Test set accuracy = 0.972972972972973
----- Run 3
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 78s (77618727679ns)
Elapsed time for Model Test: 0s (39731426ns)
Test set accuracy = 0.972972972972973
----- Run 4
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 82s (82394676484ns)
Elapsed time for Model Test: 0s (42499723ns)
Test set accuracy = 0.972972972972973
----- Run 5
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 82s (82214589058ns)
Elapsed time for Model Test: 0s (39317330ns)
Test set accuracy = 0.972972972972973
----- Run 6
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 84s (84354820241ns)
Elapsed time for Model Test: 0s (42221826ns)
Test set accuracy = 0.972972972972973
----- Run 7
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 82s (81550730966ns)
Elapsed time for Model Test: 0s (44108624ns)
Test set accuracy = 0.972972972972973
----- Run 8
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 81s (81494593148ns)
Elapsed time for Model Test: 0s (43537526ns)
Test set accuracy = 0.972972972972973
----- Run 9
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 80s (79904021608ns)
Elapsed time for Model Test: 0s (43824326ns)
Test set accuracy = 0.972972972972973
----- Run 10
root
 |-- label: double (nullable = true)
 |-- features: vector (nullable = true)

train head: [0.0,(4,[0,1,2,3],[-0.666667,-0.583333,0.186441,0.333333])]
Elapsed time for Model Training: 81s (81481344761ns)
Elapsed time for Model Test: 0s (41294231ns)
Test set accuracy = 0.972972972972973