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3x3_result_opportunity_18.txt
88 lines (60 loc) · 8.2 KB
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3x3_result_opportunity_18.txt
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str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(n_hidden)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 14 0.869032 (0.88346374, 'iter: 85') 0.861768854056 (0.87233420972124942, 'iter: 87')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(n_hidden)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 28 0.856623 (0.89088213, 'iter: 80') 0.863015030268 (0.89076276373501095, 'iter: 80')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(n_hidden)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 56 0.878608 (0.89816564, 'iter: 46') 0.872565015629 (0.88956013398434275, 'iter: 46')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(n_hidden)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 128 0.870111 (0.89910978, 'iter: 44') 0.873806007081 (0.89158159699059514, 'iter: 54')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(n_hidden)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 256 0.871459 (0.88589155, 'iter: 50') 0.869258934278 (0.882839989028, 'iter: 44')
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 0.1 0.843135 (0.85352039, 'iter: 36') 0.790921583826 (0.79696809083851672, 'iter: 28')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 0.3 0.840167 (0.87550581, 'iter: 91') 0.83783592693 (0.86934371222182871, 'iter: 84')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 0.5 0.880766 (0.89317507, 'iter: 86') 0.875196543679 (0.89038782602386657, 'iter: 88')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 0.6 0.837874 (0.8889938, 'iter: 25') 0.846625554326 (0.88152944420842994, 'iter: 71')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 0.7 0.879552 (0.88953334, 'iter: 39') 0.879483389001 (0.8892230696411505, 'iter: 48')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 0.8 0.878069 (0.88656598, 'iter: 45') 0.87467315025 (0.88383185403210007, 'iter: 45')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 0.9 0.848125 (0.89034259, 'iter: 89') 0.860522935038 (0.88601266217116537, 'iter: 54')
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.07 0.005 0.5 0.833019 (0.8330186, 'iter: 99') 0.757133621276 (0.75713362127574013, 'iter: 99')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.01 0.005 0.5 0.845697 (0.85878068, 'iter: 52') 0.788049258348 (0.80360824045936352, 'iter: 52')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.0007 0.005 0.5 0.869976 (0.89007282, 'iter: 81') 0.87286373086 (0.88642196020033415, 'iter: 96')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.0001 0.005 0.5 0.860534 (0.86323172, 'iter: 85') 0.839996137146 (0.83999613714561017, 'iter: 99')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.007 0.005 0.5 0.839358 (0.86363637, 'iter: 60') 0.824652319708 (0.84832210392137275, 'iter: 47')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.005 0.005 0.5 0.872269 (0.88818449, 'iter: 80') 0.867632772721 (0.87548380889957067, 'iter: 85')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.003 0.005 0.5 0.851767 (0.8742919, 'iter: 66') 0.841525039545 (0.8634590684518233, 'iter: 89')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 0.5 0.875371 (0.89128673, 'iter: 77') 0.872889900312 (0.888520476190099, 'iter: 76')
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.007 0.5 0.5 0.833019 (0.8330186, 'iter: 99') 0.757133621276 (0.75713362127574013, 'iter: 99')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.007 0.1 0.5 0.792015 (0.84353924, 'iter: 81') 0.770196591684 (0.78296952465395631, 'iter: 19')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.007 0.05 0.5 0.806987 (0.84380901, 'iter: 2') 0.780898142496 (0.80671739786667618, 'iter: 14')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.007 0.01 0.5 0.822228 (0.8598597, 'iter: 38') 0.792659450213 (0.82793396922924622, 'iter: 38')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.007 0.005 0.5 0.859455 (0.86930132, 'iter: 70') 0.847336284998 (0.85443746477006732, 'iter: 70')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.007 0.001 0.5 0.862018 (0.87523603, 'iter: 96') 0.864149402341 (0.87386384613488755, 'iter: 96')
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(keep_prob_for_dropout)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.007 0.0005 0.5 0.875506 (0.88670081, 'iter: 98') 0.86980134262 (0.8818472924191112, 'iter: 98')
---------------------------------------------------------------------------------------------------------------------------------------------------------------------------
str(learning_rate)+' '+str(lambda_loss_amount)+' '+str(accuracy_out)+' '+str(best_accuracy)+' '+str(f1_score_out)+' '+str(best_f1_score)
0.001 0.005 0.874368 (0.89801902, 'iter: 50') 0.876803471919 (0.89344693082510784, 'iter: 50')