1. Each columns corresponds to a single run. 2. Each row of a column corresponds to a cross-validation split. 3. Each entry is of the form "validation set accuracy:svm C:ignore this (testing was done with the model which was trained on that split)" .91800870:10:8: .92564860:1:9: .92875730:4:6: .92413060:1:5: .90130180:100:4: .91792450:2:9: .92785840:10:2: .91518230:10:3: .90648540:2:7: .92590080:10:1: .91686940:5:8: .92434990:2:5: .92848260:10:6: .92011520:2:5: .90085890:2:8: .91553720:5:9: .92318270:8:2: .91496610:7:1: .90509290:5:7: .92531480:5:5: .91654820:8:8: .92359620:7:5: .92845780:7:6: .91542060:5:0: .89911210:1:2: .91415510:10:9: .92128450:5:9: .91238910:2:1: .90357790:4:7: .92396350:7:5: .91507770:7:8: .92159620:8:2: .92689530:8:6: .91218720:4:0: .89460430:4:2: .91220380:7:9: .91973450:7:9: .91187090:8:3: .90352420:8:7: .92396350:8:5: .91357650:4:8: .91848940:5:5: .92617470:2:6: .91117810:7:0: .89318990:7:2: .91044940:4:9: .91955160:4:9: .90886180:4:1: .90203170:10:7: .92384300:4:5: .91044010:2:8: .91778810:4:5: .92555410:5:6: .90882090:8:0: .89318990:8:2: .90977350:1:1: .91752040:1:9: .90820690:5:1: .90200910:7:7: .91851140:100:3: .90580750:1:8: .91699880:10:2: .92230900:1:6: .90855940:10:0: .89148760:10:2: .90920770:8:9: .91416990:2:9: .90632010:1:8: .90158950:1:7: .91734260:2:5: .88945420:100:8: .90920800:100:8: .91751140:0.001:6: .90787990:0.001:3: .89034940:5:2: .90060020:100:9: .90018160:100:9: .90272490:100:1: .90131340:100:7: .91600600:1:5: .87757430:0.001:8: .90700290:0.001:6: .91751140:0.1:6: .90787990:0.1:3: .88282500:0.001:8: .88886500:0.001:9: .89982820:0.001:9: .88145170:0.001:3: .88881260:0.001:9: .89950010:0.001:5: .87757430:0.1:8: .90700290:0.1:6: .90920040:100:6: .90196790:100:0: .88282500:0.1:8: .88886500:0.1:9: .89982820:0.1:9: .88145170:0.1:3: .88881260:0.1:9: .89950010:0.1:5: