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Janikow Kevin Heard Maciej Faifer Eryn Cantrell St. Louis, MO 63121 janikow@umsl.edu %smain.cErrorERROR: cannot open event file %s is finished. %s.events.genPreprocessor finished...Reading event file '%s' ... Building tree ... Pruning tree ... fid.cERROR: cannot open test file%s.tests.genstdoutf1Build=%s %*s[%s=%s] : IN=%.2f PN=%.2f : %.5s=%.2f f2Build=%s %*sWghts: %5d %*s%5d: %.3f .chitablebuildTree.c%lfshortlongPrinting %s tree ---TREE : T-norm is %s []---------------- Total_Leaves=%d ---------- makeFuzSet.cusedAttrsC != NULLNo events to build tree from%s%d%s.gen%d %s %d %d %d %d %.4f %.4f %s %s %.4f %.4f %.4f %.4f %d %d Success.Clustering... Safe merging... Merging... fuzzyMatch.cWrong infIntConflict for INF2Wrong infIntConflict for INF1Wrong infIntConflict for INF0Wrong infIntConflict for INF3RSF_denum != 0 ---INFO--- T-norm for f1 to build tree%-30s %s T-norm for f2 to build treeMethod of inferenceUsing weight in infernece NoYesNumber of events%-30s %d Number of attributesNumber of decisionsIN to stop expansion%-30s %.3f PN to stop expansionGain to stop expansion of varminInfPNminInfPkNQtminInfPKappaNQtFuzzify unrecognized event%-30s %s, degree=%dFuzzify level to start atUse file %s for testing Interactive testing No Chi-squared test Rchi=%.2f Print %s tree Print tree to file: %s Not printing tree Not using spreadsheet file yesnoCFK ---DECISIONS--- ---ATTRIBUTES--- ---EVENTS---y bars= %s:%.4f x%-4d%s %.4f=> %s : %.4f || mi[%d]=%.4f attr[%d] : K[%d]=%.4f set.cERROR: invalid input databestmcgallmaxxmaxxkbprodmindprodsetexample noneERROR: Invalid option "%s"%.3fio.cERROR: i nvalid input datatestWingz.cERROR: file existsWriting to %s file %.4f STATISTICS NumTestingEvents=%d Unclassified=%d Classified=%d Correct=%d Incorrect=%d PercentCorrect=%.2f test.cw+Example%-8s%-8.8sClassActualDelta:Best%-13s%-10s%-10s%-sDecision%-10s%-10sx%-7dNOT RECOGNIZED****%-8s%-8s%-13s%-10.10s%-10.10s%-8.3f%-.3f:%-7s%-8.7sN/A* %6.3f NumWithoutDecision=%d x%d : Event not recognized, sorry=> %s:%.4f | pruning.ctree->children[i] != NULLtree -> children[0] != NULLtree -> children[i] != NULLmodifyEvents.c%d %d -1.0%s %f %f %s %f x_makeGroups.cEvent: %s x_readEvents.c Running folds through FID...outTest%s_k%d_%soutTree %s [FILE:%s @LINE:%d] x_tools.c%s_k%s_testing%s_k%s_trainingNumTestingEvents=%3.3f Unclassified=%3.3f Classified=%3.3f Correct=%3.3f Incorrect=%3.3f NumWithoutDecision=%3.3f PercentCorrect=%3.2f Total_Leaves=%3.3f Mathematics and Computer Science, UMSL http://www.cs.umsl.edu/~janikow/fid/ **%s %s help** Usage without cross-validation: %s 1 [options] Usage with cross-validation: %s [options] Note: set k-value = 1 to run without cross validation Note: filenames must not exceed 50 characters in length To see help again at any time, run: %s help ERROR: Invalid number of command line argumentsERROR: attribute file name too longERROR: cannot open attribute fileERROR: event file name too longERROR: parameter file name too longERROR: cannot open parameter fileERROR: k-value specified is out of valid range (1-99) or not an integerERROR: file label for output too long %s is finished with %d-fold cross-validation. Reading parameter file '%s' ... Parsing FID command line options ... Reading attribute file '%s' ... Writing modified events (with noise and/or missing values) to new event file: '%s' ... Stopping FID after noise and missing values have been added to training data.Writing modified test events (with noise and/or missing values) to new test file: '%s' ... ERROR: cannot open tree output fileRS=%.3f rs=%.3f bestDec=%d %*sERROR: cannot open chi-square table filePrinting %s tree to file '%s' ... Stopping criteria: minIN=%.1f minBuildPN=%.1f minGain=%.1f Using IV method to reduce gain for large domains area should not be used as a weight for nominal decisionsInvalid inference for nominal decisionsinvalid inference type for nominal decisionsInvalid in-leaf resolution type for external method 1Invalid in-leaf resolution type for external method 2invalid inference type for nominal decision variablesInvalid in leaf resolution type for external method 3Invalid in leaf resolution type for external method 4Invalid external method for set-based inferencesInference 1 is not appropriate for nominal decisionsInvalid in leaf resolution type for external method 1Invalid in leaf resolution type for external method 2Inference 2 is not appropriate for nominal decisionsInvalid external method for example based inferenceERROR: Cross-check numAttributes failedUnknown values not allowed for decision values of training examplesGenerating fuzzy sets ... Please wait ... Writing new attribute information to '%s.gen' ... ERROR: cannot create new attribute fileundoPartitions.posCutsAttr != NULLGenerating fuzzy sets... Please wait... usePl and usePkL cannot be used both in INF0 exemplar basedusePl and usePkL cannot be used both in INF2 exemplar basedT-norm for f1 used in inferenceT-norm for f2 used in inferenceMethod used to resolve internal conflictsMethod used to resolve external conflictsUsing PkL as weight in inference Using PL as weight in inference Using ratio of PkL to PL as weight in inference Using area as weight in inference Stretch domain for delta for set inferences?Reduce gain for larger domainsNoise added to training data. Noise added to test data (only attributes used by tree were modified in test data). Noise Prob: %.3f. Noise Level: %.3f. Noise added to linear and nominal attributes Noise added to nominal attributes only Noise added to linear attributes only Missing values added to training data. Missing values added to test data (only attributes used by tree were modified). Missing Value Probability: %.3f. Stop After Inducer option selected: FID stopped after noise and missing values added to training data. Save testing results to file %s Testing results will go to stdout Using significance level of %s for chi-squared test Saving results to spreadsheet file %s Randomize the random seed? %s %4d: %10s = %.2f %.2f %.2f %.2f | area=%.4f centroid=%.4f %s is %s: %d linguistic values %4d: %10s = %.2f %.2f %.2f %.2f | area=%.4f centroid=%.4f ERROR: cannot allocate storage ERROR: memory allocation failed Unknown classes for nominal attributes has not been implemented yetAttrs file: minNumLingVals>MaxNumLingVals for one of the attrs WARNING: attr %s value %s has 0.00 area%c%c WARNING: dec %s has 0.00 area%c%c Decision value exceeds valid rangeERROR: invalid linguistic value for decisionERROR: Nominal decision with non-fuzzy valueERROR: linguistic names are not valid when fuzzy sets are unknownEvent value exceeds valid rangeERROR: invalid linguistic value for attributeERROR: Nominal attribute with non-fuzzy valueERROR: Cross-check numAttributes failedUnknown values not allowed for decision values of training examplesERROR: invalid value for event fileERROR: invalid value for internal conflict typeERROR: invalid value for T-norm typeERROR: invalid value for inference kindERROR: end of file reached before all parameters were readERROR: no value specified for parameter %sERROR: invalid value for type of tree to printERROR: Value with no option specifiedERROR: option was specified but no value was providedERROR: failed reading a stringERROR: error in attributes number chanck in test fileERROR: could not open for writingReading test events from file '%s' ERROR: error in attributes number check in test fileERROR: could not open for writingand writing test results to '%s' ... * Denotes examples which were classified incorrectly. Error follows if decision is a numerical value do you have an event to recognize? [0:no 1:yes]: Give the event (%d attribute values in (-1..1) or linguistic values : ERROR: Cross-check numAttributes failedUnknown values not allowed for decision values of training examplesERROR: The specified k-value must be <= the number of events.ERROR: Ran out of memory while creating k-groups for cross validation Partitioning events into k-folds...ERROR: event file is empty or an error was encountered reading itERROR: number of lines read in event file after first line does not match specified number of events ------------------------------ FID Output for k=%d ------------------------------ ERROR: Could not open one of the needed files to average cross validation results Creating training and testing files... -------------------------------------------------------------------------------- Computing cross validation results ... Writing results to file '%s' ...k-value (number of folds): %d AVERAGED STATISTICS (over %d runs) ??@@@@??>B?@@@??HCBB??>FB58EGr??,eX??fc]F?,eX58EGr?il7?Q?? @$)&)6)F)V)f)v)))))))))**&*6*F*V*f*v*********++&+6+F+V+f+v+++  ` `D D d  `$```$`ojo#oH''`(o``>h+Set-basedExample-basedInference 1Inference 2Inference 3Inference 4best leafcenter of gravitymax-center of gravityall leavesmax xmax x and KMinimumProductBounded ProductDrastic ProductBestN/ANominalLinearUnusedrandomivfuzstoplevelfuzstartlevelf1buildf2buildf1inff2infinfkindinternalexternalusepklusepluseareauseratiouseweightstretchtreetreeouttestintestoutspreadminbuildinminbuildpnmininfpnmininfpknqtmingainchirchidiscrettypeclusterstopmergestoppmininfpkappanqtcfkpruningoffstopafterinducermissingvalueaddnoiseNONE10%5%2.5%1%`VMbP?{Gzt?{Gz??????@Q@p= ף@p= ף@ffffff?{Gz?zG??(8D$d #h# $ ' ' ) +```al@Ph$lH P X   !" 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