 | Run 12309 |
| Creator | yorinasub17 |
| Program | boostexter |
| Dataset | primary-tumor |
| Task type | MulticlassClassification |
| Created | 28d16h ago |
| Download | Login required! |
Done! 
| 5s | |
| 35M | |
| MulticlassClassification | |
| 5s | |
| 0.257 | |
| 0s | |
| 0.578 | |
| 0s |
Log file
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0.108328 test= nan train= 0.2573840 rnd 847: wh-err= 0.999990 th-err= 0.108327 test= nan train= 0.2573840 rnd 848: wh-err= 0.999995 th-err= 0.108327 test= nan train= 0.2573840 rnd 849: wh-err= 0.999996 th-err= 0.108326 test= nan train= 0.2573840 rnd 850: wh-err= 0.999998 th-err= 0.108326 test= nan train= 0.2573840 rnd 851: wh-err= 0.999998 th-err= 0.108326 test= nan train= 0.2573840 rnd 852: wh-err= 0.999999 th-err= 0.108326 test= nan train= 0.2573840 rnd 853: wh-err= 0.999998 th-err= 0.108326 test= nan train= 0.2573840 rnd 854: wh-err= 0.999995 th-err= 0.108325 test= nan train= 0.2573840 rnd 855: wh-err= 0.999990 th-err= 0.108324 test= nan train= 0.2573840 rnd 856: wh-err= 0.999976 th-err= 0.108321 test= nan train= 0.2573840 rnd 857: wh-err= 0.999989 th-err= 0.108320 test= nan train= 0.2573840 rnd 858: wh-err= 0.999996 th-err= 0.108320 test= nan train= 0.2573840 rnd 859: wh-err= 0.999998 th-err= 0.108319 test= nan train= 0.2573840 rnd 860: wh-err= 0.999997 th-err= 0.108319 test= nan train= 0.2573840 rnd 861: wh-err= 0.999996 th-err= 0.108319 test= nan train= 0.2573840 rnd 862: wh-err= 0.999998 th-err= 0.108318 test= nan train= 0.2573840 rnd 863: wh-err= 0.999997 th-err= 0.108318 test= nan train= 0.2573840 rnd 864: wh-err= 0.999991 th-err= 0.108317 test= nan train= 0.2573840 rnd 865: wh-err= 0.999981 th-err= 0.108315 test= nan train= 0.2573840 rnd 866: wh-err= 0.999985 th-err= 0.108313 test= nan train= 0.2573840 rnd 867: wh-err= 0.999995 th-err= 0.108313 test= nan train= 0.2573840 rnd 868: wh-err= 0.999985 th-err= 0.108311 test= nan train= 0.2573840 rnd 869: wh-err= 0.999995 th-err= 0.108311 test= nan train= 0.2573840 rnd 870: wh-err= 0.999998 th-err= 0.108311 test= nan train= 0.2573840 rnd 871: wh-err= 0.999997 th-err= 0.108310 test= nan train= 0.2573840 rnd 872: wh-err= 0.999996 th-err= 0.108310 test= nan train= 0.2573840 rnd 873: wh-err= 0.999999 th-err= 0.108310 test= nan train= 0.2573840 rnd 874: wh-err= 0.999998 th-err= 0.108309 test= nan train= 0.2573840 rnd 875: wh-err= 0.999998 th-err= 0.108309 test= nan train= 0.2573840 rnd 876: wh-err= 0.999999 th-err= 0.108309 test= nan train= 0.2573840 rnd 877: wh-err= 0.999998 th-err= 0.108309 test= nan train= 0.2573840 rnd 878: wh-err= 0.999999 th-err= 0.108309 test= nan train= 0.2573840 rnd 879: wh-err= 0.999996 th-err= 0.108308 test= nan train= 0.2573840 rnd 880: wh-err= 0.999991 th-err= 0.108307 test= nan train= 0.2573840 rnd 881: wh-err= 0.999995 th-err= 0.108307 test= nan train= 0.2573840 rnd 882: wh-err= 0.999996 th-err= 0.108306 test= nan train= 0.2573840 rnd 883: wh-err= 0.999990 th-err= 0.108305 test= nan train= 0.2573840 rnd 884: wh-err= 0.999979 th-err= 0.108303 test= nan train= 0.2573840 rnd 885: wh-err= 0.999986 th-err= 0.108302 test= nan train= 0.2573840 rnd 886: wh-err= 0.999998 th-err= 0.108301 test= nan train= 0.2573840 rnd 887: wh-err= 0.999999 th-err= 0.108301 test= nan train= 0.2573840 rnd 888: wh-err= 0.999981 th-err= 0.108299 test= nan train= 0.2573840 rnd 889: wh-err= 0.999983 th-err= 0.108297 test= nan train= 0.2573840 rnd 890: wh-err= 0.999994 th-err= 0.108297 test= nan train= 0.2573840 rnd 891: wh-err= 0.999996 th-err= 0.108296 test= nan train= 0.2573840 rnd 892: wh-err= 0.999996 th-err= 0.108296 test= nan train= 0.2573840 rnd 893: wh-err= 0.999995 th-err= 0.108295 test= nan train= 0.2573840 rnd 894: wh-err= 0.999998 th-err= 0.108295 test= nan train= 0.2573840 rnd 895: wh-err= 0.999998 th-err= 0.108295 test= nan train= 0.2573840 rnd 896: wh-err= 0.999998 th-err= 0.108295 test= nan train= 0.2573840 rnd 897: wh-err= 0.999998 th-err= 0.108294 test= nan train= 0.2573840 rnd 898: wh-err= 0.999997 th-err= 0.108294 test= nan train= 0.2573840 rnd 899: wh-err= 0.999991 th-err= 0.108293 test= nan train= 0.2573840 rnd 900: wh-err= 0.999991 th-err= 0.108292 test= nan train= 0.2573840 rnd 901: wh-err= 0.999995 th-err= 0.108292 test= nan train= 0.2573840 rnd 902: wh-err= 0.999999 th-err= 0.108292 test= nan train= 0.2573840 rnd 903: wh-err= 0.999991 th-err= 0.108291 test= nan train= 0.2573840 rnd 904: wh-err= 0.999996 th-err= 0.108290 test= nan train= 0.2573840 rnd 905: wh-err= 0.999996 th-err= 0.108290 test= nan train= 0.2573840 rnd 906: wh-err= 0.999996 th-err= 0.108289 test= nan train= 0.2573840 rnd 907: wh-err= 0.999998 th-err= 0.108289 test= nan train= 0.2573840 rnd 908: wh-err= 0.999998 th-err= 0.108289 test= nan train= 0.2573840 rnd 909: wh-err= 0.999998 th-err= 0.108289 test= nan train= 0.2573840 rnd 910: wh-err= 0.999999 th-err= 0.108289 test= nan train= 0.2573840 rnd 911: wh-err= 0.999998 th-err= 0.108288 test= nan train= 0.2573840 rnd 912: wh-err= 0.999997 th-err= 0.108288 test= nan train= 0.2573840 rnd 913: wh-err= 0.999982 th-err= 0.108286 test= nan train= 0.2573840 rnd 914: wh-err= 0.999982 th-err= 0.108284 test= nan train= 0.2573840 rnd 915: wh-err= 0.999986 th-err= 0.108283 test= nan train= 0.2573840 rnd 916: wh-err= 0.999997 th-err= 0.108282 test= nan train= 0.2573840 rnd 917: wh-err= 0.999996 th-err= 0.108282 test= nan train= 0.2573840 rnd 918: wh-err= 0.999990 th-err= 0.108281 test= nan train= 0.2573840 rnd 919: wh-err= 0.999993 th-err= 0.108280 test= nan train= 0.2573840 rnd 920: wh-err= 0.999997 th-err= 0.108280 test= nan train= 0.2573840 rnd 921: wh-err= 0.999997 th-err= 0.108280 test= nan train= 0.2573840 rnd 922: wh-err= 0.999998 th-err= 0.108279 test= nan train= 0.2573840 rnd 923: wh-err= 0.999998 th-err= 0.108279 test= nan train= 0.2573840 rnd 924: wh-err= 0.999998 th-err= 0.108279 test= nan train= 0.2573840 rnd 925: wh-err= 0.999996 th-err= 0.108279 test= nan train= 0.2573840 rnd 926: wh-err= 0.999991 th-err= 0.108278 test= nan train= 0.2573840 rnd 927: wh-err= 0.999997 th-err= 0.108277 test= nan train= 0.2573840 rnd 928: wh-err= 0.999996 th-err= 0.108277 test= nan train= 0.2573840 rnd 929: wh-err= 0.999992 th-err= 0.108276 test= nan train= 0.2573840 rnd 930: wh-err= 0.999998 th-err= 0.108276 test= nan train= 0.2573840 rnd 931: wh-err= 0.999983 th-err= 0.108274 test= nan train= 0.2573840 rnd 932: wh-err= 0.999987 th-err= 0.108273 test= nan train= 0.2573840 rnd 933: wh-err= 0.999996 th-err= 0.108272 test= nan train= 0.2573840 rnd 934: wh-err= 0.999999 th-err= 0.108272 test= nan train= 0.2573840 rnd 935: wh-err= 0.999997 th-err= 0.108272 test= nan train= 0.2573840 rnd 936: wh-err= 0.999996 th-err= 0.108271 test= nan train= 0.2573840 rnd 937: wh-err= 0.999998 th-err= 0.108271 test= nan train= 0.2573840 rnd 938: wh-err= 0.999999 th-err= 0.108271 test= nan train= 0.2573840 rnd 939: wh-err= 0.999998 th-err= 0.108271 test= nan train= 0.2573840 rnd 940: wh-err= 0.999998 th-err= 0.108271 test= nan train= 0.2573840 rnd 941: wh-err= 0.999998 th-err= 0.108270 test= nan train= 0.2573840 rnd 942: wh-err= 0.999998 th-err= 0.108270 test= nan train= 0.2573840 rnd 943: wh-err= 0.999999 th-err= 0.108270 test= nan train= 0.2573840 rnd 944: wh-err= 0.999989 th-err= 0.108269 test= nan train= 0.2573840 rnd 945: wh-err= 0.999982 th-err= 0.108267 test= nan train= 0.2573840 rnd 946: wh-err= 0.999984 th-err= 0.108265 test= nan train= 0.2573840 rnd 947: wh-err= 0.999995 th-err= 0.108265 test= nan train= 0.2573840 rnd 948: wh-err= 0.999997 th-err= 0.108264 test= nan train= 0.2573840 rnd 949: wh-err= 0.999995 th-err= 0.108264 test= nan train= 0.2573840 rnd 950: wh-err= 0.999997 th-err= 0.108263 test= nan train= 0.2573840 rnd 951: wh-err= 0.999992 th-err= 0.108263 test= nan train= 0.2573840 rnd 952: wh-err= 0.999993 th-err= 0.108262 test= nan train= 0.2573840 rnd 953: wh-err= 0.999997 th-err= 0.108261 test= nan train= 0.2573840 rnd 954: wh-err= 0.999998 th-err= 0.108261 test= nan train= 0.2573840 rnd 955: wh-err= 0.999984 th-err= 0.108260 test= nan train= 0.2573840 rnd 956: wh-err= 0.999988 th-err= 0.108258 test= nan train= 0.2573840 rnd 957: wh-err= 0.999999 th-err= 0.108258 test= nan train= 0.2573840 rnd 958: wh-err= 0.999998 th-err= 0.108258 test= nan train= 0.2573840 rnd 959: wh-err= 0.999999 th-err= 0.108258 test= nan train= 0.2573840 rnd 960: wh-err= 0.999997 th-err= 0.108257 test= nan train= 0.2573840 rnd 961: wh-err= 0.999996 th-err= 0.108257 test= nan train= 0.2573840 rnd 962: wh-err= 0.999998 th-err= 0.108257 test= nan train= 0.2573840 rnd 963: wh-err= 0.999999 th-err= 0.108257 test= nan train= 0.2573840 rnd 964: wh-err= 0.999993 th-err= 0.108256 test= nan train= 0.2573840 rnd 965: wh-err= 0.999997 th-err= 0.108255 test= nan train= 0.2573840 rnd 966: wh-err= 0.999998 th-err= 0.108255 test= nan train= 0.2573840 rnd 967: wh-err= 0.999997 th-err= 0.108255 test= nan train= 0.2573840 rnd 968: wh-err= 0.999997 th-err= 0.108255 test= nan train= 0.2573840 rnd 969: wh-err= 0.999999 th-err= 0.108255 test= nan train= 0.2573840 rnd 970: wh-err= 0.999999 th-err= 0.108254 test= nan train= 0.2573840 rnd 971: wh-err= 0.999998 th-err= 0.108254 test= nan train= 0.2573840 rnd 972: wh-err= 0.999999 th-err= 0.108254 test= nan train= 0.2573840 rnd 973: wh-err= 0.999999 th-err= 0.108254 test= nan train= 0.2573840 rnd 974: wh-err= 0.999998 th-err= 0.108254 test= nan train= 0.2573840 rnd 975: wh-err= 0.999997 th-err= 0.108254 test= nan train= 0.2573840 rnd 976: wh-err= 0.999992 th-err= 0.108253 test= nan train= 0.2573840 rnd 977: wh-err= 0.999983 th-err= 0.108251 test= nan train= 0.2573840 rnd 978: wh-err= 0.999997 th-err= 0.108250 test= nan train= 0.2573840 rnd 979: wh-err= 0.999988 th-err= 0.108249 test= nan train= 0.2573840 rnd 980: wh-err= 0.999982 th-err= 0.108247 test= nan train= 0.2573840 rnd 981: wh-err= 0.999988 th-err= 0.108246 test= nan train= 0.2573840 rnd 982: wh-err= 0.999997 th-err= 0.108246 test= nan train= 0.2573840 rnd 983: wh-err= 0.999999 th-err= 0.108246 test= nan train= 0.2573840 rnd 984: wh-err= 0.999997 th-err= 0.108245 test= nan train= 0.2573840 rnd 985: wh-err= 0.999994 th-err= 0.108245 test= nan train= 0.2573840 rnd 986: wh-err= 0.999993 th-err= 0.108244 test= nan train= 0.2573840 rnd 987: wh-err= 0.999996 th-err= 0.108243 test= nan train= 0.2573840 rnd 988: wh-err= 0.999997 th-err= 0.108243 test= nan train= 0.2573840 rnd 989: wh-err= 0.999999 th-err= 0.108243 test= nan train= 0.2573840 rnd 990: wh-err= 0.999999 th-err= 0.108243 test= nan train= 0.2573840 rnd 991: wh-err= 0.999998 th-err= 0.108243 test= nan train= 0.2573840 rnd 992: wh-err= 0.999999 th-err= 0.108242 test= nan train= 0.2573840 rnd 993: wh-err= 0.999998 th-err= 0.108242 test= nan train= 0.2573840 rnd 994: wh-err= 0.999984 th-err= 0.108240 test= nan train= 0.2573840 rnd 995: wh-err= 0.999993 th-err= 0.108240 test= nan train= 0.2573840 rnd 996: wh-err= 0.999996 th-err= 0.108239 test= nan train= 0.2573840 rnd 997: wh-err= 0.999997 th-err= 0.108239 test= nan train= 0.2573840 rnd 998: wh-err= 0.999998 th-err= 0.108239 test= nan train= 0.2573840 rnd 999: wh-err= 0.999999 th-err= 0.108239 test= nan train= 0.2573840 rnd 1000: wh-err= 0.999990 th-err= 0.108237 test= nan train= 0.2573840 === END program1: ./run learn ../dataset2/train --- OK [5s] ===== MAIN: predict/evaluate on train data ===== === START program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in === END program3: ./run stripLabels ../dataset2/train ../program0/evalTrain.in --- OK [0s] === START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out Copyright 2001 AT&T. All rights reserved. Test error = 237.000000 / 237 = 1.000000 === END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- OK [0s] === START program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out === END program4: ./run evaluate ../dataset2/train ../program0/evalTrain.out --- OK [0s] ===== MAIN: predict/evaluate on test data ===== === START program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in === END program3: ./run stripLabels ../dataset2/test ../program0/evalTest.in --- OK [1s] === START program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out Copyright 2001 AT&T. All rights reserved. Test error = 102.000000 / 102 = 1.000000 === END program1: ./run predict ../program0/evalTest.in ../program0/evalTest.out --- OK [0s] === START program4: ./run evaluate ../dataset2/test ../program0/evalTest.out === END program4: ./run evaluate ../dataset2/test ../program0/evalTest.out --- OK [0s] real 0m5.891s user 0m2.164s sys 0m0.128s
Run specification 
Results
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