.csv (instances and predictions
of the testing file).
Method Summary |
private void |
analyzePredictionsFile()
Computes statistics accuracy of NBC NCC and Bma by analyzing the predictions saved on a temporary file; then,
saves to file the computed indicators (fold by fold); parse the indicator file and allocates all the indicators into arrays. |
private void |
parseIndicatorFile()
|
private void |
parseNbcNccPrediction(java.util.StringTokenizer st)
Reads and evaluates a single Ncc prediction retrieved from the prediction file, and updates the indexes
referring to NBC accuracy when NCC precise/imprecise |
private void |
parseNbcPrediction(java.lang.String currentToken)
Reads and assesses a single Nbc prediction retrieved from the prediction file; its accuracy or not on the supplied instance
is tracked by the member variable nbcAccCurrentInst |
private void |
resetCounters()
Set all counters to 0 |
private void |
saveTmpStats(java.io.BufferedWriter out)
Saves to a temporary file the performance indicators (a row for each single training/testing experiment), to be later averaged |
private void |
writeConfMatrix(java.lang.String classifier)
Writes confusion matrix to file, preceeding it by a title which depends on the classifier
parameter (nbc or ncc2); the confusion matrix is appended into a an already existing file (if the file is
not existing, it is created) |
private void |
writeOutputFiles()
Parses the temporary file where performance indicators (measured fold by fold) have been stored ,
and produces the output files, i.e, resultsTable and confusionMatrix. |
private void |
writeStdDev(double[] array,
java.io.BufferedWriter out,
java.text.DecimalFormat formatter)
|
Methods inherited from class java.lang.Object |
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
actualClass
private int actualClass
aNbcAcc
private double[] aNbcAcc
aNccI
private double[] aNccI
aNccOutputSize
private double[] aNccOutputSize
aNccP
private double[] aNccP
aNccPrec
private double[] aNccPrec
aNccSetAcc
private double[] aNccSetAcc
aNccSingleAcc
private double[] aNccSingleAcc
indicatorsFile
private java.lang.String indicatorsFile
- Temporary file, where the performance indicators are saved fold-by-fold
instancesCounter
private int instancesCounter
nbcAccCurrentInst
private java.lang.Boolean nbcAccCurrentInst
nbcAccNccImprecise
private int nbcAccNccImprecise
nbcAccNccprecise
private int nbcAccNccprecise
nbcAccurate
private int nbcAccurate
nbcConfMatrix
private int[][] nbcConfMatrix
nccConfMatrix
private int[][] nccConfMatrix
nccImprecise
private int nccImprecise
nccImpreciseOutputSize
private int nccImpreciseOutputSize
nccPrecise
private int nccPrecise
nccPreciseAccurate
private int nccPreciseAccurate
nccSetAccurate
private int nccSetAccurate
numClasses
private int numClasses
numRuns
private int numRuns
- how many training/testing experiments (1 for testing, num runs*num folds for CV) the predictions saved to file reg
Jncc.ResultsReporter
Jncc.ResultsReporter()
- Constructor
analyzePredictionsFile
private void analyzePredictionsFile()
- Computes statistics accuracy of NBC NCC and Bma by analyzing the predictions saved on a temporary file; then,
saves to file the computed indicators (fold by fold); parse the indicator file and allocates all the indicators into arrays.
Then, both prediction file and indicator file are deleted.
The file is expected to be made up by many rows arranged as follows:
FoldNumber | Actual Class | NBC prediction | NCC prediction (nc cols) | Bma prediction(1 col) | Bma num of significant models (1 col)
where nc is the number of classes.
parseIndicatorFile
private void parseIndicatorFile()
parseNbcNccPrediction
private void parseNbcNccPrediction(java.util.StringTokenizer st)
- Reads and evaluates a single Ncc prediction retrieved from the prediction file, and updates the indexes
referring to NBC accuracy when NCC precise/imprecise
parseNbcPrediction
private void parseNbcPrediction(java.lang.String currentToken)
- Reads and assesses a single Nbc prediction retrieved from the prediction file; its accuracy or not on the supplied instance
is tracked by the member variable nbcAccCurrentInst
resetCounters
private void resetCounters()
- Set all counters to 0
saveTmpStats
private void saveTmpStats(java.io.BufferedWriter out)
- Saves to a temporary file the performance indicators (a row for each single training/testing experiment), to be later averaged
writeConfMatrix
private void writeConfMatrix(java.lang.String classifier)
- Writes confusion matrix to file, preceeding it by a title which depends on the classifier
parameter (nbc or ncc2); the confusion matrix is appended into a an already existing file (if the file is
not existing, it is created)
writeOutputFiles
private void writeOutputFiles()
- Parses the temporary file where performance indicators (measured fold by fold) have been stored ,
and produces the output files, i.e, resultsTable and confusionMatrix.
The resultsTable creates , a row of indicators for each data set;
confusion matrices are instead appended into a single file.
writeStdDev
private void writeStdDev(double[] array,
java.io.BufferedWriter out,
java.text.DecimalFormat formatter)