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Classifying test examples..rw%.8g:+1 %.8g:-1 %.8g:-1 %.8g:+1 %.8g %ld..done SVM-light %s: Support Vector Machine, classification module %s usage: svm_classify [options] example_file model_file output_file options: -h -> this help -v [0..3] -> verbosity level (default 2) -f [0,1] -> 0: old output format of V1.0 -> 1: output the value of decision function (default) Not enough input parameters! Output format can only take the values 0 or 1! Runtime (without IO) in cpu-seconds: %.2f Accuracy on test set: %.2f%% (%ld correct, %ld incorrect, %ld total) Precision/recall on test set: %.2f%%/%.2f%% ?{Gz?Y@ Copyright: Thorsten Joachims, thorsten@joachims.org This software is available for non-commercial use only. It must notbe modified and distributed without prior permission of the author.The author is not responsible for implications from the use of this%ld # number of training documents %ld # number of support vectors plus 1 %.8g # threshold b, each following line is a SV (starting with alpha*y) Error: Unknown kernel functionLine must start with label or 0!!! Slack-id must be greater or equal to 1!!! Feature numbers must be larger or equal to 1!!! Features must be in increasing order!!! Cannot parse feature/value pair!!! Not enough values in alpha file!Version of model-file does not match version of svm_classify! Parsing error while reading model file in SV %ld! %sOK. (%d support vectors read) Reading examples into memory... Parsing error in line %ld! %s Maximum feature number exceeds limit defined in MAXFEATNUM!software. Out of memory! Writing model file...SVM-light Version %s %ld # kernel type %ld # kernel parameter -d %.8g # kernel parameter -g %.8g # kernel parameter -s %.8g # kernel parameter -r %s# kernel parameter -u %ld # highest feature index %.32g #%s %ld:%.8g %lfqid:%ld%ssid:%ld%scost:%lf%s%ld:%lf%s'%s' in LINE: %s Reading alphas...%lf Reading model...%ld%*[^ ] %lf%*[^ ] %[^#]%*[^ ] Scanning examples...OK. 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