ServerRun 37788
Creatorchuertas
Programminimalist-boost
DatasetPlancarta r16.0
Task typeMulticlassClassification
Created3y159d ago
Failed! Action_stop
Note: this page autoupdates while a run is in progress
(see end of log file)
11h4m
296M
MulticlassClassification
11h4m
0s

Log file

... (lines omitted) ...
iteration:608 feature:466 threshold:0.2255 min-objective:0.999275
iteration:609 feature:604 threshold:0.869 min-objective:0.999277
iteration:610 feature:312 threshold:0.1475 min-objective:0.999281
iteration:611 feature:245 threshold:0.2005 min-objective:0.99928
iteration:612 feature:415 threshold:0.9985 min-objective:0.99929
iteration:613 feature:384 threshold:0.0085 min-objective:0.999296
iteration:614 feature:390 threshold:0.8655 min-objective:0.999294
iteration:615 feature:479 threshold:0.015 min-objective:0.999291
iteration:616 feature:221 threshold:0.2235 min-objective:0.999303
iteration:617 feature:227 threshold:0.492 min-objective:0.999279
iteration:618 feature:514 threshold:0.1225 min-objective:0.999298
iteration:619 feature:27 threshold:0.9335 min-objective:0.9993
iteration:620 feature:417 threshold:0.0255 min-objective:0.999298
iteration:621 feature:532 threshold:0.9045 min-objective:0.999298
iteration:622 feature:575 threshold:0.2955 min-objective:0.999267
iteration:623 feature:387 threshold:0.0075 min-objective:0.999294
iteration:624 feature:306 threshold:0.8235 min-objective:0.999299
iteration:625 feature:470 threshold:0.8005 min-objective:0.9993
iteration:626 feature:480 threshold:0.8105 min-objective:0.999267
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iteration:937 feature:66 threshold:0.3025 min-objective:0.999484
iteration:938 feature:391 threshold:0.0145 min-objective:0.999493
iteration:939 feature:339 threshold:0.178 min-objective:0.999491
iteration:940 feature:480 threshold:0.9975 min-objective:0.999493
iteration:941 feature:500 threshold:0.555 min-objective:0.999495
iteration:942 feature:411 threshold:0.785 min-objective:0.999492
iteration:943 feature:429 threshold:0.7155 min-objective:0.99949
iteration:944 feature:202 threshold:0.2655 min-objective:0.99949
iteration:945 feature:417 threshold:0.9995 min-objective:0.999486
iteration:946 feature:241 threshold:0.9905 min-objective:0.999488
iteration:947 feature:168 threshold:0.6185 min-objective:0.999486
iteration:948 feature:184 threshold:0.2245 min-objective:0.999492
iteration:949 feature:229 threshold:0.0915 min-objective:0.999487
iteration:950 feature:440 threshold:0.8125 min-objective:0.999491
iteration:951 feature:149 threshold:0.1185 min-objective:0.999489
iteration:952 feature:267 threshold:0.307 min-objective:0.999488
iteration:953 feature:193 threshold:0.214 min-objective:0.999489
iteration:954 feature:404 threshold:0.0225 min-objective:0.999491
iteration:955 feature:618 threshold:0.1605 min-objective:0.999493
iteration:956 feature:380 threshold:0.2275 min-objective:0.999493
iteration:957 feature:478 threshold:0.0815 min-objective:0.999488
iteration:958 feature:313 threshold:0.0535 min-objective:0.999496
iteration:959 feature:518 threshold:0.3195 min-objective:0.999503
iteration:960 feature:73 threshold:0.1755 min-objective:0.999506
iteration:961 feature:28 threshold:0.879 min-objective:0.9995
iteration:962 feature:307 threshold:0.0845 min-objective:0.999498
iteration:963 feature:516 threshold:0.9975 min-objective:0.999495
iteration:964 feature:357 threshold:0.9965 min-objective:0.999507
iteration:965 feature:387 threshold:0.0035 min-objective:0.9995
iteration:966 feature:563 threshold:0.9245 min-objective:0.999507
iteration:967 feature:423 threshold:0.0545 min-objective:0.999507
iteration:968 feature:401 threshold:0.9785 min-objective:0.999507
iteration:969 feature:508 threshold:0.4695 min-objective:0.999501
iteration:970 feature:523 threshold:0.7555 min-objective:0.999502
iteration:971 feature:507 threshold:0.1495 min-objective:0.999502
iteration:972 feature:488 threshold:0.4695 min-objective:0.999508
iteration:973 feature:393 threshold:0.693 min-objective:0.999504
iteration:974 feature:401 threshold:0.1595 min-objective:0.999502
iteration:975 feature:421 threshold:0.0175 min-objective:0.999499
iteration:976 feature:425 threshold:0.0235 min-objective:0.999503
iteration:977 feature:420 threshold:0.6515 min-objective:0.999505
iteration:978 feature:506 threshold:0.9995 min-objective:0.999505
iteration:979 feature:408 threshold:0.2685 min-objective:0.999502
iteration:980 feature:446 threshold:0.0655 min-objective:0.999511
iteration:981 feature:470 threshold:0.6915 min-objective:0.999488
iteration:982 feature:382 threshold:0.3935 min-objective:0.999502
iteration:983 feature:115 threshold:0.238 min-objective:0.999501
iteration:984 feature:569 threshold:0.4155 min-objective:0.999503
iteration:985 feature:416 threshold:0.0035 min-objective:0.999513
iteration:986 feature:589 threshold:0.9735 min-objective:0.99951
iteration:987 feature:475 threshold:0.189 min-objective:0.999516
iteration:988 feature:396 threshold:0.9965 min-objective:0.999509
iteration:989 feature:394 threshold:0.6055 min-objective:0.999495
iteration:990 feature:379 threshold:0.0085 min-objective:0.99951
iteration:991 feature:243 threshold:0.3825 min-objective:0.999511
iteration:992 feature:389 threshold:0.4055 min-objective:0.999514
iteration:993 feature:26 threshold:0.3565 min-objective:0.999514
iteration:994 feature:244 threshold:0.1755 min-objective:0.999502
iteration:995 feature:271 threshold:0.9345 min-objective:0.999506
iteration:996 feature:189 threshold:0.8875 min-objective:0.99951
iteration:997 feature:360 threshold:0.9535 min-objective:0.999514
iteration:998 feature:414 threshold:0.9745 min-objective:0.999517
iteration:999 feature:430 threshold:0.7115 min-objective:0.999507
=== END program1: ./run learn ../dataset2/train --- OK [39855s]

===== 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 [4s]
=== START program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out
./run: line 3: 13629 Segmentation fault      ./predict model.txt < $2 > $3
=== END program1: ./run predict ../program0/evalTrain.in ../program0/evalTrain.out --- FAILED [0s]

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