Number of training examples:     100
Number of validation examples:  5000 (for model selection)
Number of test examples:       10000

Full model selection results:
Cross validation was done for C (C%f).
The accuracy (c:%f), error rate (w:%f), false positives (fp:%f), true positives (tp:%f) is shown on the validation set.
The optimal bias term (thresh*:%f) for the validation data is shown. This treshhold was used on the test set.
The model with highest accuracy was chosen.


ag_svm_val_C0.001_tr100_r1.out:of 5000 samples (c:0.798800,w:0.201200,fp:0.061938,tp:0.568471,tresh*:-0.99850124741269042)
ag_svm_val_C0.001_tr100_r2.out:of 5000 samples (c:0.856800,w:0.143200,fp:0.130252,tp:0.835782,tresh*:-0.99854816451235306)
ag_svm_val_C0.001_tr100_r3.out:of 5000 samples (c:0.856600,w:0.143400,fp:0.074788,tp:0.748194,tresh*:-0.99810817549676045)
ag_svm_val_C0.001_tr100_r4.out:of 5000 samples (c:0.822800,w:0.177200,fp:0.090467,tp:0.683194,tresh*:-0.99838320949558035)
ag_svm_val_C0.001_tr100_r5.out:of 4999 samples (c:0.848570,w:0.151430,fp:0.074431,tp:0.721041,tresh*:-0.99854999620832019)
ag_svm_val_C0.1_tr100_r1.out:of 5000 samples (c:0.798800,w:0.201200,fp:0.061938,tp:0.568471,tresh*:-0.85012530826673394)
ag_svm_val_C0.1_tr100_r2.out:of 5000 samples (c:0.856800,w:0.143200,fp:0.130252,tp:0.835782,tresh*:-0.85481417540299054)
ag_svm_val_C0.1_tr100_r3.out:of 5000 samples (c:0.856600,w:0.143400,fp:0.074788,tp:0.748194,tresh*:-0.81081613656706786)
ag_svm_val_C0.1_tr100_r4.out:of 5000 samples (c:0.822800,w:0.177200,fp:0.090467,tp:0.683194,tresh*:-0.8383213451191005)
ag_svm_val_C0.1_tr100_r5.out:of 4999 samples (c:0.848570,w:0.151430,fp:0.074431,tp:0.721041,tresh*:-0.85500039022090468)
ag_svm_val_C100_tr100_r1.out:of 5000 samples (c:0.783600,w:0.216400,fp:0.149872,tp:0.673567,tresh*:-0.31336415767566256)
ag_svm_val_C100_tr100_r2.out:of 5000 samples (c:0.821400,w:0.178600,fp:0.120556,tp:0.727177,tresh*:-0.27860580975938182)
ag_svm_val_C100_tr100_r3.out:of 5000 samples (c:0.838800,w:0.161200,fp:0.117570,tp:0.769866,tresh*:-0.34044571917757854)
ag_svm_val_C100_tr100_r4.out:of 5000 samples (c:0.811800,w:0.188200,fp:0.127756,tp:0.714509,tresh*:-0.30894411411690981)
ag_svm_val_C100_tr100_r5.out:of 4999 samples (c:0.837768,w:0.162232,fp:0.091755,tp:0.721041,tresh*:-0.1824167188796299)
ag_svm_val_C10_tr100_r1.out:of 5000 samples (c:0.783600,w:0.216400,fp:0.149872,tp:0.673567,tresh*:-0.31336412335663522)
ag_svm_val_C10_tr100_r2.out:of 5000 samples (c:0.821400,w:0.178600,fp:0.120556,tp:0.727177,tresh*:-0.27860558076391445)
ag_svm_val_C10_tr100_r3.out:of 5000 samples (c:0.838800,w:0.161200,fp:0.117570,tp:0.769866,tresh*:-0.34044576727052089)
ag_svm_val_C10_tr100_r4.out:of 5000 samples (c:0.811800,w:0.188200,fp:0.127756,tp:0.714509,tresh*:-0.30894411032919444)
ag_svm_val_C10_tr100_r5.out:of 4999 samples (c:0.837768,w:0.162232,fp:0.091755,tp:0.721041,tresh*:-0.18241710044680035)
ag_svm_val_C1_tr100_r1.out:of 5000 samples (c:0.787600,w:0.212400,fp:0.060976,tp:0.537155,tresh*:-0.19162312143202009)
ag_svm_val_C1_tr100_r2.out:of 5000 samples (c:0.824200,w:0.175800,fp:0.123465,tp:0.739244,tresh*:-0.32426171496322298)
ag_svm_val_C1_tr100_r3.out:of 5000 samples (c:0.862800,w:0.137200,fp:0.091117,tp:0.789990,tresh*:-0.34587752179986697)
ag_svm_val_C1_tr100_r4.out:of 5000 samples (c:0.819200,w:0.180800,fp:0.118029,tp:0.718163,tresh*:-0.32590184476898398)
ag_svm_val_C1_tr100_r5.out:of 4999 samples (c:0.839768,w:0.160232,fp:0.085018,tp:0.715197,tresh*:-0.19633832009505345)
ag_svm_val_C2_tr100_r1.out:of 5000 samples (c:0.783600,w:0.216400,fp:0.149872,tp:0.673567,tresh*:-0.31336395255429328)
ag_svm_val_C2_tr100_r2.out:of 5000 samples (c:0.821400,w:0.178600,fp:0.120556,tp:0.727177,tresh*:-0.27860573913999553)
ag_svm_val_C2_tr100_r3.out:of 5000 samples (c:0.843800,w:0.156200,fp:0.114631,tp:0.778122,tresh*:-0.33710349888443658)
ag_svm_val_C2_tr100_r4.out:of 5000 samples (c:0.811200,w:0.188800,fp:0.127108,tp:0.711900,tresh*:-0.3091396853666919)
ag_svm_val_C2_tr100_r5.out:of 4999 samples (c:0.838368,w:0.161632,fp:0.092397,tp:0.723698,tresh*:-0.1823633952542015)
ag_svm_val_C4_tr100_r1.out:of 5000 samples (c:0.783600,w:0.216400,fp:0.149872,tp:0.673567,tresh*:-0.31336389402102127)
ag_svm_val_C4_tr100_r2.out:of 5000 samples (c:0.821400,w:0.178600,fp:0.120556,tp:0.727177,tresh*:-0.27860578293965288)
ag_svm_val_C4_tr100_r3.out:of 5000 samples (c:0.838800,w:0.161200,fp:0.117570,tp:0.769866,tresh*:-0.34044610278340881)
ag_svm_val_C4_tr100_r4.out:of 5000 samples (c:0.811800,w:0.188200,fp:0.127756,tp:0.714509,tresh*:-0.30894392267462767)
ag_svm_val_C4_tr100_r5.out:of 4999 samples (c:0.837768,w:0.162232,fp:0.091755,tp:0.721041,tresh*:-0.18241668411840795)
ag_svm_val_C5_tr100_r1.out:of 5000 samples (c:0.783600,w:0.216400,fp:0.149872,tp:0.673567,tresh*:-0.31336389753255678)
ag_svm_val_C5_tr100_r2.out:of 5000 samples (c:0.821400,w:0.178600,fp:0.120556,tp:0.727177,tresh*:-0.27860564433059981)
ag_svm_val_C5_tr100_r3.out:of 5000 samples (c:0.838800,w:0.161200,fp:0.117570,tp:0.769866,tresh*:-0.34044610475848835)
ag_svm_val_C5_tr100_r4.out:of 5000 samples (c:0.811800,w:0.188200,fp:0.127756,tp:0.714509,tresh*:-0.3089440471941467)
ag_svm_val_C5_tr100_r5.out:of 4999 samples (c:0.837768,w:0.162232,fp:0.091755,tp:0.721041,tresh*:-0.18241709500279207)
ag_svm_val_C7_tr100_r1.out:of 5000 samples (c:0.783600,w:0.216400,fp:0.149872,tp:0.673567,tresh*:-0.31336395144091139)
ag_svm_val_C7_tr100_r2.out:of 5000 samples (c:0.821400,w:0.178600,fp:0.120556,tp:0.727177,tresh*:-0.27860557808794018)
ag_svm_val_C7_tr100_r3.out:of 5000 samples (c:0.838800,w:0.161200,fp:0.117570,tp:0.769866,tresh*:-0.34044603078911673)
ag_svm_val_C7_tr100_r4.out:of 5000 samples (c:0.811800,w:0.188200,fp:0.127756,tp:0.714509,tresh*:-0.30894405920154328)
ag_svm_val_C7_tr100_r5.out:of 4999 samples (c:0.837768,w:0.162232,fp:0.091755,tp:0.721041,tresh*:-0.18241672727661568)
ag_svm_val_C8_tr100_r1.out:of 5000 samples (c:0.783600,w:0.216400,fp:0.149872,tp:0.673567,tresh*:-0.31336395195314792)
ag_svm_val_C8_tr100_r2.out:of 5000 samples (c:0.821400,w:0.178600,fp:0.120556,tp:0.727177,tresh*:-0.27860557869909691)
ag_svm_val_C8_tr100_r3.out:of 5000 samples (c:0.838800,w:0.161200,fp:0.117570,tp:0.769866,tresh*:-0.34044576758073763)
ag_svm_val_C8_tr100_r4.out:of 5000 samples (c:0.811800,w:0.188200,fp:0.127756,tp:0.714509,tresh*:-0.30894383815494192)
ag_svm_val_C8_tr100_r5.out:of 4999 samples (c:0.837768,w:0.162232,fp:0.091755,tp:0.721041,tresh*:-0.18241675906140578)

Best models:

ag_svm_val_C0.001_tr100_r1.out:of 5000 samples (c:0.798800,w:0.201200,fp:0.061938,tp:0.568471,tresh*:-0.99850124741269042)
ag_svm_val_C0.001_tr100_r2.out:of 5000 samples (c:0.856800,w:0.143200,fp:0.130252,tp:0.835782,tresh*:-0.99854816451235306)
ag_svm_val_C1_tr100_r3.out:of 5000 samples (c:0.862800,w:0.137200,fp:0.091117,tp:0.789990,tresh*:-0.34587752179986697)
ag_svm_val_C0.001_tr100_r4.out:of 5000 samples (c:0.822800,w:0.177200,fp:0.090467,tp:0.683194,tresh*:-0.99838320949558035)
ag_svm_val_C0.001_tr100_r5.out:of 4999 samples (c:0.848570,w:0.151430,fp:0.074431,tp:0.721041,tresh*:-0.99854999620832019)