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results_log.txt
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results_log.txt
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FEATURE_TYPE=unigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.957678355502 Precision=0.968215158924 Fscore=0.962917933131 Accuracy=0.962064676617
VAL : Recall=0.672941176471 Precision=0.654462242563 Fscore=0.663573085847 Accuracy=0.639303482587
TEST : Recall=0.698337292162 Precision=0.715328467153 Fscore=0.706730769231 Accuracy=0.696517412935
FEATURE_TYPE=unigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.954050785973 Precision=0.976485148515 Fscore=0.965137614679 Accuracy=0.964552238806
VAL : Recall=0.663529411765 Precision=0.651270207852 Fscore=0.657342657343 Accuracy=0.634328358209
TEST : Recall=0.695961995249 Precision=0.716381418093 Fscore=0.706024096386 Accuracy=0.696517412935
FEATURE_TYPE=unigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.960096735187 Precision=0.974233128834 Fscore=0.967113276492 Accuracy=0.966417910448
VAL : Recall=0.675294117647 Precision=0.655251141553 Fscore=0.665121668598 Accuracy=0.640547263682
TEST : Recall=0.693586698337 Precision=0.717444717445 Fscore=0.705314009662 Accuracy=0.696517412935
FEATURE_TYPE=unigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.956469165659 Precision=0.969362745098 Fscore=0.96287279367 Accuracy=0.962064676617
VAL : Recall=0.677647058824 Precision=0.648648648649 Fscore=0.662830840046 Accuracy=0.635572139303
TEST : Recall=0.70783847981 Precision=0.709523809524 Fscore=0.708680142687 Accuracy=0.695273631841
FEATURE_TYPE=unigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.915356711004 Precision=0.988250652742 Fscore=0.950408035154 Accuracy=0.950870646766
VAL : Recall=0.625882352941 Precision=0.658415841584 Fscore=0.641737032569 Accuracy=0.630597014925
TEST : Recall=0.657957244656 Precision=0.712082262211 Fscore=0.683950617284 Accuracy=0.681592039801
FEATURE_TYPE=unigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.955259975816 Precision=0.983810709838 Fscore=0.969325153374 Accuracy=0.968905472637
VAL : Recall=0.656470588235 Precision=0.66270783848 Fscore=0.659574468085 Accuracy=0.641791044776
TEST : Recall=0.684085510689 Precision=0.72 Fscore=0.701583434836 Accuracy=0.695273631841
FEATURE_TYPE=unigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.651753325272 Precision=1.0 Fscore=0.789165446559 Accuracy=0.820895522388
VAL : Recall=0.432941176471 Precision=0.733067729084 Fscore=0.544378698225 Accuracy=0.616915422886
TEST : Recall=0.472684085511 Precision=0.792828685259 Fscore=0.592261904762 Accuracy=0.6592039801
FEATURE_TYPE=unigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.869407496977 Precision=0.998611111111 Fscore=0.929541047188 Accuracy=0.932213930348
VAL : Recall=0.578823529412 Precision=0.687150837989 Fscore=0.628352490421 Accuracy=0.638059701493
TEST : Recall=0.612826603325 Precision=0.761061946903 Fscore=0.678947368421 Accuracy=0.696517412935
FEATURE_TYPE=unigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.957678355502 Precision=0.968215158924 Fscore=0.962917933131 Accuracy=0.962064676617
VAL : Recall=0.672941176471 Precision=0.654462242563 Fscore=0.663573085847 Accuracy=0.639303482587
TEST : Recall=0.698337292162 Precision=0.715328467153 Fscore=0.706730769231 Accuracy=0.696517412935
FEATURE_TYPE=unigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.954050785973 Precision=0.976485148515 Fscore=0.965137614679 Accuracy=0.964552238806
VAL : Recall=0.663529411765 Precision=0.651270207852 Fscore=0.657342657343 Accuracy=0.634328358209
TEST : Recall=0.695961995249 Precision=0.716381418093 Fscore=0.706024096386 Accuracy=0.696517412935
FEATURE_TYPE=unigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.960096735187 Precision=0.974233128834 Fscore=0.967113276492 Accuracy=0.966417910448
VAL : Recall=0.675294117647 Precision=0.655251141553 Fscore=0.665121668598 Accuracy=0.640547263682
TEST : Recall=0.693586698337 Precision=0.717444717445 Fscore=0.705314009662 Accuracy=0.696517412935
FEATURE_TYPE=unigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.956469165659 Precision=0.969362745098 Fscore=0.96287279367 Accuracy=0.962064676617
VAL : Recall=0.677647058824 Precision=0.648648648649 Fscore=0.662830840046 Accuracy=0.635572139303
TEST : Recall=0.70783847981 Precision=0.709523809524 Fscore=0.708680142687 Accuracy=0.695273631841
FEATURE_TYPE=unigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.915356711004 Precision=0.988250652742 Fscore=0.950408035154 Accuracy=0.950870646766
VAL : Recall=0.625882352941 Precision=0.658415841584 Fscore=0.641737032569 Accuracy=0.630597014925
TEST : Recall=0.657957244656 Precision=0.712082262211 Fscore=0.683950617284 Accuracy=0.681592039801
FEATURE_TYPE=unigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.955259975816 Precision=0.983810709838 Fscore=0.969325153374 Accuracy=0.968905472637
VAL : Recall=0.656470588235 Precision=0.66270783848 Fscore=0.659574468085 Accuracy=0.641791044776
TEST : Recall=0.684085510689 Precision=0.72 Fscore=0.701583434836 Accuracy=0.695273631841
FEATURE_TYPE=unigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.651753325272 Precision=1.0 Fscore=0.789165446559 Accuracy=0.820895522388
VAL : Recall=0.432941176471 Precision=0.733067729084 Fscore=0.544378698225 Accuracy=0.616915422886
TEST : Recall=0.472684085511 Precision=0.792828685259 Fscore=0.592261904762 Accuracy=0.6592039801
FEATURE_TYPE=unigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.869407496977 Precision=0.998611111111 Fscore=0.929541047188 Accuracy=0.932213930348
VAL : Recall=0.578823529412 Precision=0.687150837989 Fscore=0.628352490421 Accuracy=0.638059701493
TEST : Recall=0.612826603325 Precision=0.761061946903 Fscore=0.678947368421 Accuracy=0.696517412935
FEATURE_TYPE=bigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.957678355502 Precision=0.968215158924 Fscore=0.962917933131 Accuracy=0.962064676617
VAL : Recall=0.672941176471 Precision=0.654462242563 Fscore=0.663573085847 Accuracy=0.639303482587
TEST : Recall=0.698337292162 Precision=0.715328467153 Fscore=0.706730769231 Accuracy=0.696517412935
FEATURE_TYPE=bigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.954050785973 Precision=0.976485148515 Fscore=0.965137614679 Accuracy=0.964552238806
VAL : Recall=0.663529411765 Precision=0.651270207852 Fscore=0.657342657343 Accuracy=0.634328358209
TEST : Recall=0.695961995249 Precision=0.716381418093 Fscore=0.706024096386 Accuracy=0.696517412935
FEATURE_TYPE=bigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.960096735187 Precision=0.974233128834 Fscore=0.967113276492 Accuracy=0.966417910448
VAL : Recall=0.675294117647 Precision=0.655251141553 Fscore=0.665121668598 Accuracy=0.640547263682
TEST : Recall=0.693586698337 Precision=0.717444717445 Fscore=0.705314009662 Accuracy=0.696517412935
FEATURE_TYPE=bigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.956469165659 Precision=0.969362745098 Fscore=0.96287279367 Accuracy=0.962064676617
VAL : Recall=0.677647058824 Precision=0.648648648649 Fscore=0.662830840046 Accuracy=0.635572139303
TEST : Recall=0.70783847981 Precision=0.709523809524 Fscore=0.708680142687 Accuracy=0.695273631841
FEATURE_TYPE=bigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.915356711004 Precision=0.988250652742 Fscore=0.950408035154 Accuracy=0.950870646766
VAL : Recall=0.625882352941 Precision=0.658415841584 Fscore=0.641737032569 Accuracy=0.630597014925
TEST : Recall=0.657957244656 Precision=0.712082262211 Fscore=0.683950617284 Accuracy=0.681592039801
FEATURE_TYPE=bigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.955259975816 Precision=0.983810709838 Fscore=0.969325153374 Accuracy=0.968905472637
VAL : Recall=0.656470588235 Precision=0.66270783848 Fscore=0.659574468085 Accuracy=0.641791044776
TEST : Recall=0.684085510689 Precision=0.72 Fscore=0.701583434836 Accuracy=0.695273631841
FEATURE_TYPE=bigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.651753325272 Precision=1.0 Fscore=0.789165446559 Accuracy=0.820895522388
VAL : Recall=0.432941176471 Precision=0.733067729084 Fscore=0.544378698225 Accuracy=0.616915422886
TEST : Recall=0.472684085511 Precision=0.792828685259 Fscore=0.592261904762 Accuracy=0.6592039801
FEATURE_TYPE=bigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.869407496977 Precision=0.998611111111 Fscore=0.929541047188 Accuracy=0.932213930348
VAL : Recall=0.578823529412 Precision=0.687150837989 Fscore=0.628352490421 Accuracy=0.638059701493
TEST : Recall=0.612826603325 Precision=0.761061946903 Fscore=0.678947368421 Accuracy=0.696517412935
FEATURE_TYPE=bigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.957678355502 Precision=0.968215158924 Fscore=0.962917933131 Accuracy=0.962064676617
VAL : Recall=0.672941176471 Precision=0.654462242563 Fscore=0.663573085847 Accuracy=0.639303482587
TEST : Recall=0.698337292162 Precision=0.715328467153 Fscore=0.706730769231 Accuracy=0.696517412935
FEATURE_TYPE=bigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.954050785973 Precision=0.976485148515 Fscore=0.965137614679 Accuracy=0.964552238806
VAL : Recall=0.663529411765 Precision=0.651270207852 Fscore=0.657342657343 Accuracy=0.634328358209
TEST : Recall=0.695961995249 Precision=0.716381418093 Fscore=0.706024096386 Accuracy=0.696517412935
FEATURE_TYPE=bigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.960096735187 Precision=0.974233128834 Fscore=0.967113276492 Accuracy=0.966417910448
VAL : Recall=0.675294117647 Precision=0.655251141553 Fscore=0.665121668598 Accuracy=0.640547263682
TEST : Recall=0.693586698337 Precision=0.717444717445 Fscore=0.705314009662 Accuracy=0.696517412935
FEATURE_TYPE=bigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.956469165659 Precision=0.969362745098 Fscore=0.96287279367 Accuracy=0.962064676617
VAL : Recall=0.677647058824 Precision=0.648648648649 Fscore=0.662830840046 Accuracy=0.635572139303
TEST : Recall=0.70783847981 Precision=0.709523809524 Fscore=0.708680142687 Accuracy=0.695273631841
FEATURE_TYPE=bigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.915356711004 Precision=0.988250652742 Fscore=0.950408035154 Accuracy=0.950870646766
VAL : Recall=0.625882352941 Precision=0.658415841584 Fscore=0.641737032569 Accuracy=0.630597014925
TEST : Recall=0.657957244656 Precision=0.712082262211 Fscore=0.683950617284 Accuracy=0.681592039801
FEATURE_TYPE=bigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.955259975816 Precision=0.983810709838 Fscore=0.969325153374 Accuracy=0.968905472637
VAL : Recall=0.656470588235 Precision=0.66270783848 Fscore=0.659574468085 Accuracy=0.641791044776
TEST : Recall=0.684085510689 Precision=0.72 Fscore=0.701583434836 Accuracy=0.695273631841
FEATURE_TYPE=bigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.651753325272 Precision=1.0 Fscore=0.789165446559 Accuracy=0.820895522388
VAL : Recall=0.432941176471 Precision=0.733067729084 Fscore=0.544378698225 Accuracy=0.616915422886
TEST : Recall=0.472684085511 Precision=0.792828685259 Fscore=0.592261904762 Accuracy=0.6592039801
FEATURE_TYPE=bigram BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.869407496977 Precision=0.998611111111 Fscore=0.929541047188 Accuracy=0.932213930348
VAL : Recall=0.578823529412 Precision=0.687150837989 Fscore=0.628352490421 Accuracy=0.638059701493
TEST : Recall=0.612826603325 Precision=0.761061946903 Fscore=0.678947368421 Accuracy=0.696517412935
FEATURE_TYPE=both BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.957678355502 Precision=0.968215158924 Fscore=0.962917933131 Accuracy=0.962064676617
VAL : Recall=0.672941176471 Precision=0.654462242563 Fscore=0.663573085847 Accuracy=0.639303482587
TEST : Recall=0.698337292162 Precision=0.715328467153 Fscore=0.706730769231 Accuracy=0.696517412935
FEATURE_TYPE=both BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.954050785973 Precision=0.976485148515 Fscore=0.965137614679 Accuracy=0.964552238806
VAL : Recall=0.663529411765 Precision=0.651270207852 Fscore=0.657342657343 Accuracy=0.634328358209
TEST : Recall=0.695961995249 Precision=0.716381418093 Fscore=0.706024096386 Accuracy=0.696517412935
FEATURE_TYPE=both BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.960096735187 Precision=0.974233128834 Fscore=0.967113276492 Accuracy=0.966417910448
VAL : Recall=0.675294117647 Precision=0.655251141553 Fscore=0.665121668598 Accuracy=0.640547263682
TEST : Recall=0.693586698337 Precision=0.717444717445 Fscore=0.705314009662 Accuracy=0.696517412935
FEATURE_TYPE=both BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.956469165659 Precision=0.969362745098 Fscore=0.96287279367 Accuracy=0.962064676617
VAL : Recall=0.677647058824 Precision=0.648648648649 Fscore=0.662830840046 Accuracy=0.635572139303
TEST : Recall=0.70783847981 Precision=0.709523809524 Fscore=0.708680142687 Accuracy=0.695273631841
FEATURE_TYPE=both BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.915356711004 Precision=0.988250652742 Fscore=0.950408035154 Accuracy=0.950870646766
VAL : Recall=0.625882352941 Precision=0.658415841584 Fscore=0.641737032569 Accuracy=0.630597014925
TEST : Recall=0.657957244656 Precision=0.712082262211 Fscore=0.683950617284 Accuracy=0.681592039801
FEATURE_TYPE=both BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.955259975816 Precision=0.983810709838 Fscore=0.969325153374 Accuracy=0.968905472637
VAL : Recall=0.656470588235 Precision=0.66270783848 Fscore=0.659574468085 Accuracy=0.641791044776
TEST : Recall=0.684085510689 Precision=0.72 Fscore=0.701583434836 Accuracy=0.695273631841
FEATURE_TYPE=both BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.651753325272 Precision=1.0 Fscore=0.789165446559 Accuracy=0.820895522388
VAL : Recall=0.432941176471 Precision=0.733067729084 Fscore=0.544378698225 Accuracy=0.616915422886
TEST : Recall=0.472684085511 Precision=0.792828685259 Fscore=0.592261904762 Accuracy=0.6592039801
FEATURE_TYPE=both BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.869407496977 Precision=0.998611111111 Fscore=0.929541047188 Accuracy=0.932213930348
VAL : Recall=0.578823529412 Precision=0.687150837989 Fscore=0.628352490421 Accuracy=0.638059701493
TEST : Recall=0.612826603325 Precision=0.761061946903 Fscore=0.678947368421 Accuracy=0.696517412935
FEATURE_TYPE=both BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.957678355502 Precision=0.968215158924 Fscore=0.962917933131 Accuracy=0.962064676617
VAL : Recall=0.672941176471 Precision=0.654462242563 Fscore=0.663573085847 Accuracy=0.639303482587
TEST : Recall=0.698337292162 Precision=0.715328467153 Fscore=0.706730769231 Accuracy=0.696517412935
FEATURE_TYPE=both BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.954050785973 Precision=0.976485148515 Fscore=0.965137614679 Accuracy=0.964552238806
VAL : Recall=0.663529411765 Precision=0.651270207852 Fscore=0.657342657343 Accuracy=0.634328358209
TEST : Recall=0.695961995249 Precision=0.716381418093 Fscore=0.706024096386 Accuracy=0.696517412935
FEATURE_TYPE=both BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.960096735187 Precision=0.974233128834 Fscore=0.967113276492 Accuracy=0.966417910448
VAL : Recall=0.675294117647 Precision=0.655251141553 Fscore=0.665121668598 Accuracy=0.640547263682
TEST : Recall=0.693586698337 Precision=0.717444717445 Fscore=0.705314009662 Accuracy=0.696517412935
FEATURE_TYPE=both BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.956469165659 Precision=0.969362745098 Fscore=0.96287279367 Accuracy=0.962064676617
VAL : Recall=0.677647058824 Precision=0.648648648649 Fscore=0.662830840046 Accuracy=0.635572139303
TEST : Recall=0.70783847981 Precision=0.709523809524 Fscore=0.708680142687 Accuracy=0.695273631841
FEATURE_TYPE=both BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.915356711004 Precision=0.988250652742 Fscore=0.950408035154 Accuracy=0.950870646766
VAL : Recall=0.625882352941 Precision=0.658415841584 Fscore=0.641737032569 Accuracy=0.630597014925
TEST : Recall=0.657957244656 Precision=0.712082262211 Fscore=0.683950617284 Accuracy=0.681592039801
FEATURE_TYPE=both BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.955259975816 Precision=0.983810709838 Fscore=0.969325153374 Accuracy=0.968905472637
VAL : Recall=0.656470588235 Precision=0.66270783848 Fscore=0.659574468085 Accuracy=0.641791044776
TEST : Recall=0.684085510689 Precision=0.72 Fscore=0.701583434836 Accuracy=0.695273631841
FEATURE_TYPE=both BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.651753325272 Precision=1.0 Fscore=0.789165446559 Accuracy=0.820895522388
VAL : Recall=0.432941176471 Precision=0.733067729084 Fscore=0.544378698225 Accuracy=0.616915422886
TEST : Recall=0.472684085511 Precision=0.792828685259 Fscore=0.592261904762 Accuracy=0.6592039801
FEATURE_TYPE=both BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.869407496977 Precision=0.998611111111 Fscore=0.929541047188 Accuracy=0.932213930348
VAL : Recall=0.578823529412 Precision=0.687150837989 Fscore=0.628352490421 Accuracy=0.638059701493
TEST : Recall=0.612826603325 Precision=0.761061946903 Fscore=0.678947368421 Accuracy=0.696517412935
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.721886336155 Precision=0.715827338129 Fscore=0.718844069837 Accuracy=0.709577114428
VAL : Recall=0.52 Precision=0.533816425121 Fscore=0.526817640048 Accuracy=0.506218905473
TEST : Recall=0.572446555819 Precision=0.530837004405 Fscore=0.550857142857 Accuracy=0.511194029851
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.721886336155 Precision=0.715827338129 Fscore=0.718844069837 Accuracy=0.709577114428
VAL : Recall=0.52 Precision=0.533816425121 Fscore=0.526817640048 Accuracy=0.506218905473
TEST : Recall=0.572446555819 Precision=0.530837004405 Fscore=0.550857142857 Accuracy=0.511194029851
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.62515114873 Precision=0.751453488372 Fscore=0.682508250825 Accuracy=0.700870646766
VAL : Recall=0.388235294118 Precision=0.518867924528 Fscore=0.444145356662 Accuracy=0.48631840796
TEST : Recall=0.444180522565 Precision=0.52676056338 Fscore=0.481958762887 Accuracy=0.5
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.683192261185 Precision=0.730918499353 Fscore=0.70625 Accuracy=0.707711442786
VAL : Recall=0.484705882353 Precision=0.535064935065 Fscore=0.508641975309 Accuracy=0.504975124378
TEST : Recall=0.541567695962 Precision=0.532710280374 Fscore=0.537102473498 Accuracy=0.511194029851
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.00483675937122 Precision=0.8 Fscore=0.00961538461538 Accuracy=0.487562189055
VAL : Division by Zero !
TEST : Recall=0.0142517814727 Precision=0.666666666667 Fscore=0.0279069767442 Accuracy=0.480099502488
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.331318016929 Precision=0.845679012346 Fscore=0.476107732407 Accuracy=0.625
VAL : Recall=0.167058823529 Precision=0.529850746269 Fscore=0.254025044723 Accuracy=0.481343283582
TEST : Recall=0.242280285036 Precision=0.576271186441 Fscore=0.341137123746 Accuracy=0.509950248756
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Division by Zero !
VAL : Division by Zero !
TEST : Recall=0.00237529691211 Precision=1.0 Fscore=0.00473933649289 Accuracy=0.477611940299
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Division by Zero !
VAL : Division by Zero !
TEST : Recall=0.00237529691211 Precision=1.0 Fscore=0.00473933649289 Accuracy=0.477611940299
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.721886336155 Precision=0.715827338129 Fscore=0.718844069837 Accuracy=0.709577114428
VAL : Recall=0.52 Precision=0.533816425121 Fscore=0.526817640048 Accuracy=0.506218905473
TEST : Recall=0.572446555819 Precision=0.530837004405 Fscore=0.550857142857 Accuracy=0.511194029851
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.721886336155 Precision=0.715827338129 Fscore=0.718844069837 Accuracy=0.709577114428
VAL : Recall=0.52 Precision=0.533816425121 Fscore=0.526817640048 Accuracy=0.506218905473
TEST : Recall=0.572446555819 Precision=0.530837004405 Fscore=0.550857142857 Accuracy=0.511194029851
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.62515114873 Precision=0.751453488372 Fscore=0.682508250825 Accuracy=0.700870646766
VAL : Recall=0.388235294118 Precision=0.518867924528 Fscore=0.444145356662 Accuracy=0.48631840796
TEST : Recall=0.444180522565 Precision=0.52676056338 Fscore=0.481958762887 Accuracy=0.5
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=1 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.683192261185 Precision=0.730918499353 Fscore=0.70625 Accuracy=0.707711442786
VAL : Recall=0.484705882353 Precision=0.535064935065 Fscore=0.508641975309 Accuracy=0.504975124378
TEST : Recall=0.541567695962 Precision=0.532710280374 Fscore=0.537102473498 Accuracy=0.511194029851
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Recall=0.00483675937122 Precision=0.8 Fscore=0.00961538461538 Accuracy=0.487562189055
VAL : Division by Zero !
TEST : Recall=0.0142517814727 Precision=0.666666666667 Fscore=0.0279069767442 Accuracy=0.480099502488
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Recall=0.331318016929 Precision=0.845679012346 Fscore=0.476107732407 Accuracy=0.625
VAL : Recall=0.167058823529 Precision=0.529850746269 Fscore=0.254025044723 Accuracy=0.481343283582
TEST : Recall=0.242280285036 Precision=0.576271186441 Fscore=0.341137123746 Accuracy=0.509950248756
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.1
TRAIN: Division by Zero !
VAL : Division by Zero !
TEST : Recall=0.00237529691211 Precision=1.0 Fscore=0.00473933649289 Accuracy=0.477611940299
FEATURE_TYPE=word2vec BOOLEAN_FEATURES=1 LEARNING_TYPE=avgP MARGIN=50 MAX_ITERATION=50 LEARNING_RATE=0.3
TRAIN: Division by Zero !
VAL : Division by Zero !
TEST : Recall=0.00237529691211 Precision=1.0 Fscore=0.00473933649289 Accuracy=0.477611940299BEST train param:
FEATURE_TYPE=unigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.3BEST val param:
FEATURE_TYPE=unigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=10 MAX_ITERATION=50 LEARNING_RATE=0.3BEST test param:
FEATURE_TYPE=unigram BOOLEAN_FEATURES=0 LEARNING_TYPE=avgP MARGIN=0 MAX_ITERATION=50 LEARNING_RATE=0.1