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50_iteration_results.txt
56 lines (50 loc) · 2.31 KB
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50_iteration_results.txt
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50 Iteration Training Sample:
RMSE: 346.080311286
RMSE: 138.129349143
RMSE: 103.519895685
RMSE: 84.339332286
RMSE: 73.4693928671
RMSE: 68.2281676366
RMSE: 60.4131004645
RMSE: 54.3766451223
RMSE: 50.941729869
RMSE: 48.0712772137
RMSE: 43.7047073111
RMSE: 41.4189537516
RMSE: 39.9866778231
RMSE: 38.4824381935
...
...
RMSE: 16.359214588
RMSE: 13.5661520405
RMSE: 12.879886266
RMSE: 12.5135465636
RMSE: 12.3356170331
RMSE: 12.2750373731
RMSE: 12.0829875881
RMSE: 11.8814575051
RMSE: 11.4584965012
RMSE: 11.1954706716
RMSE: 10.9302024494
[Finished in 2234.167s]
Predicted: [ 1. 0. 0. 0. 0. 0. 0. 0. 0. 0.] ---> Actual: [1, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Predicted: [ 0. 0. 0. 0. 0. 1. 0. 0. 0. 0.] ---> Actual: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
Predicted: [ 1. 0. 0. 0. 0. 0. 0. 0. 0. 0.] ---> Actual: [1, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Predicted: [ 0. 0. 0. 1. 0. 0. 0. 0. 0. 0.] ---> Actual: [0, 0, 0, 1, 0, 0, 0, 0, 0, 0]
Predicted: [ 0. 0. 0. 1. 0. 0. 0. 0. 0. 0.] ---> Actual: [0, 0, 0, 1, 0, 0, 0, 0, 0, 0]
Predicted: [ 0. 0. 1. 0. 0. 0. 0. 0. 0. 0.] ---> Actual: [0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
Predicted: [ 0. 1. 0. 0. 0. 0. 0. 0. 0. 0.] ---> Actual: [0, 1, 0, 0, 0, 0, 0, 0, 0, 0]
Predicted: [ 0. 0. 0. 0. 0. 0. 0. 0. 0. 1.] ---> Actual: [0, 0, 0, 0, 0, 0, 0, 0, 0, 1]
Predicted: [ 0. 0. 0. 0. 0. 1. 0. 0. 0. 0.] ---> Actual: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
Predicted: [ 0. 0. 0. 0. 0. 1. 0. 0. 0. 0.] ---> Actual: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
Predicted: [ 1. 0. 0. 0. 0. 0. 0. 0. 0. 0.] ---> Actual: [1, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Predicted: [ 0. 0. 0. 0. 0. 1. 0. 0. 0. 0.] ---> Actual: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
Predicted: [ 0. 0. 1. 0. 0. 0. 0. 0. 0. 0.] ---> Actual: [0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
....
....
Predicted: [ 0. 0. 0. 0. 0. 1. 0. 0. 0. 0.] ---> Actual: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
Predicted: [ 0. 0. 0. 0. 0. 1. 0. 0. 0. 0.] ---> Actual: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
Predicted: [ 1. 0. 0. 0. 0. 0. 0. 0. 0. 0.] ---> Actual: [1, 0, 0, 0, 0, 0, 0, 0, 0, 0]
Predicted: [ 0. 0. 0. 0. 0. 1. 0. 0. 0. 0.] ---> Actual: [0, 0, 0, 0, 0, 1, 0, 0, 0, 0]
Predicted: [ 0. 0. 1. 0. 0. 0. 0. 0. 0. 0.] ---> Actual: [0, 0, 1, 0, 0, 0, 0, 0, 0, 0]
Total accuracy on test sample: 0.964941569282