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)"

.93876560:4:7: .94205350:4:9: .94635210:5:8: .94458400:7:8: .94779640:8:3: .94803340:10:9: .95294760:5:1: .95752250:2:5: .95473810:5:9: .95122620:5:9:
.93876420:2:7: .94062720:10:9: .94615560:7:3: .94446170:8:8: .94772640:7:3: .94688730:4:9: .95286240:4:1: .95720470:5:5: .95433120:4:2: .94979370:7:8:
.93777480:7:7: .94060370:7:9: .94615560:8:3: .94402670:2:8: .94655780:10:3: .94675130:8:9: .95162280:2:1: .95694360:7:5: .94991940:7:9: .94902560:4:9:
.93776070:5:7: .93939890:8:9: .94506870:10:3: .94329890:10:8: .94638000:4:3: .94557010:2:9: .95046300:7:1: .95601420:4:5: .94985080:2:6: .94649570:100:7:
.93549740:8:3: .93937060:5:9: .94502200:4:8: .94328530:5:8: .94554150:2:3: .94550130:7:9: .94916430:8:1: .95428260:8:5: .94766500:10:9: .94615890:8:8:
.93325110:100:7: .93065150:2:3: .94364210:2:3: .94209480:4:8: .94449220:5:3: .94315870:5:9: .94779450:10:1: .95278400:10:5: .94740620:8:9: .94488060:10:8:
.93182370:10:7: .92934650:1:3: .93510030:100:3: .93792420:1:8: .94236470:1:5: .94186230:1:9: .94421600:1:1: .94775170:1:3: .94253700:1:2: .94410010:2:1:
.93150960:1:3: .92563990:100:3: .93240880:1:8: .93163520:100:8: .94102980:100:6: .93845830:100:2: .93175930:100:0: .94638890:100:5: .93882670:100:9: .94009960:1:1:
.89985460:0.1:7: .88539250:0.1:3: .91322030:0.1:8: .91230130:0.1:3: .90017420:0.1:3: .89949890:0.1:4: .88766800:0.1:9: .90272480:0.1:9: .89946910:0.1:6: .89388210:0.1:7:
.87649380:0.001:7: .86304400:0.001:3: .88453190:0.001:0: .88215840:0.001:3: .85404990:0.001:7: .87900240:0.001:4: .85636140:0.001:1: .87997890:0.001:9: .86505950:0.001:3: .85544740:0.001:1: