The arboretum procedure
§ PROC DMNEURL: Approximation to PROC NEURAL
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16 § PROC DMNEURL: Approximation to PROC NEURAL Run Activation SSE RMSE Accuracy 1 SQUARE 6.68237E11 10589 33.925841 2 TANH 6.74156E11 10635 30.776431 4 LOGIST 6.74885E11 10641 30.492000 8 EXP 6.77111E11 10659 30.503925 3 ARCTAN 6.78503E11 10670 29.832932 6 SIN 6.81758E11 10695 29.402115 5 GAUSS 7.02918E11 10860 21.174016 7 COS 7.04934E11 10876 20.022492 The second stage (stage=1) starts with selecting the best principal components for predicting the residual:
Now a maximum of 5 iterations is needed for convergence: ------------ Optimization Cycle (Stage=1) -------------- ------------ Activation= SQUARE (Stage=1) -------------- NOTE: ABSGCONV convergence criterion satisfied. SQUARE: Iter=1 Crit=0.00675824: SSE=6.35237E11 Acc= 39.9782 ------------ Activation= TANH (Stage=1) ---------------- NOTE: ABSGCONV convergence criterion satisfied. TANH: Iter=4 Crit=0.00677155: SSE=6.36489E11 Acc= 40.1296 ------------ Activation= ARCTAN (Stage=1) -------------- NOTE: ABSGCONV convergence criterion satisfied. ARCTAN: Iter=4 Crit=0.00675928: SSE=6.35335E11 Acc= 41.0832 ------------ Activation= LOGIST (Stage=1) -------------- NOTE: ABSGCONV convergence criterion satisfied. LOGIST: Iter=5 Crit=0.00676491: SSE=6.35864E11 Acc= 41.1768 ------------ Activation= GAUSS (Stage=1) --------------- NOTE: ABSGCONV convergence criterion satisfied. GAUSS: Iter=5 Crit=0.00701114: SSE=6.59009E11 Acc= 37.5715 ------------ Activation= SIN (Stage=1) ----------------- NOTE: ABSGCONV convergence criterion satisfied. SIN: Iter=4 Crit=0.00676857: SSE=6.36208E11 Acc= 40.1257 ------------ Activation= COS (Stage=1) ----------------- NOTE: ABSGCONV convergence criterion satisfied. COS: Iter=5 Crit=0.00699351: SSE=6.57351E11 Acc= 36.1925 ------------ Activation= EXP (Stage=1) ----------------- NOTE: ABSGCONV convergence criterion satisfied. EXP: Iter=1 Crit=0.00676817: SSE= 6.3617E11 Acc= 40.3710 Purpose of PROC DMNEURL § 17 The RMSE dropped from 10589 to 10294: Goodness-of-Fit Criteria (Ordered by SSE, Stage 1) Run Activation SSE RMSE Accuracy 1 SQUARE 6.31521E11 10294 41.275893 3 ARCTAN 6.32669E11 10303 40.218692 8 EXP 6.32795E11 10304 40.947613 6 SIN 6.32908E11 10305 40.499603 2 TANH 6.3331E11 10308 40.464591 4 LOGIST 6.33355E11 10309 40.566497 7 COS 6.56699E11 10497 36.381117 5 GAUSS 6.58666E11 10513 37.785522 The third stage starts with selecting the best eigenvectors for prediction of the resid- uals of the last stage:
Now, the maximum of iterations is four! ------------ Optimization Cycle (Stage=2) -------------- ------------ Activation= SQUARE (Stage=2) -------------- NOTE: ABSGCONV convergence criterion satisfied. SQUARE: Iter=1 Crit=0.00652258: SSE=6.13086E11 Acc= 42.4729 ------------ Activation= TANH (Stage=2) ---------------- NOTE: ABSGCONV convergence criterion satisfied. TANH: Iter=3 Crit=0.00650972: SSE=6.11878E11 Acc= 41.5654 ------------ Activation= ARCTAN (Stage=2) -------------- NOTE: ABSGCONV convergence criterion satisfied. ARCTAN: Iter=3 Crit=0.00650403: SSE=6.11342E11 Acc= 42.2974 ------------ Activation= LOGIST (Stage=2) -------------- NOTE: ABSGCONV convergence criterion satisfied. LOGIST: Iter=4 Crit=0.00641908: SSE=6.03358E11 Acc= 43.3779 ------------ Activation= GAUSS (Stage=2) --------------- NOTE: ABSGCONV convergence criterion satisfied. GAUSS: Iter=2 Crit=0.00671802: SSE=6.31456E11 Acc= 41.2660 ------------ Activation= SIN (Stage=2) ----------------- NOTE: ABSGCONV convergence criterion satisfied. SIN: Iter=4 Crit=0.00651654: SSE=6.12519E11 Acc= 41.9809 ------------ Activation= COS (Stage=2) ----------------- NOTE: ABSGCONV convergence criterion satisfied. Yüklə 3,07 Mb. Dostları ilə paylaş:
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