adams.flow.transformer.WekaExperimentEvaluation
Generates evaluation output of an experiment that was run previously.
Flow input/output:
- input: weka.experiment.Experiment, weka.core.Instances
- output: java.lang.String
The logging level for outputting errors and debugging output.
command-line | -logging-level <OFF|SEVERE|WARNING|INFO|CONFIG|FINE|FINER|FINEST> |
default | WARNING |
min-user-mode | Expert |
The name of the actor.
command-line | -name <java.lang.String> |
default | WekaExperimentEvaluation |
The annotations to attach to this actor.
command-line | -annotation <adams.core.base.BaseAnnotation> |
default |
|
If set to true, transformation is skipped and the input token is just forwarded as it is.
command-line | -skip <boolean> |
default | false |
If set to true, the flow execution at this level gets stopped in case this actor encounters an error; the error gets propagated; useful for critical actors.
command-line | -stop-flow-on-error <boolean> |
default | false |
min-user-mode | Expert |
If enabled, then no errors are output in the console; Note: the enclosing actor handler must have this enabled as well.
command-line | -silent <boolean> |
default | false |
min-user-mode | Expert |
The testing algorithm to use for performing the evaluations.
command-line | -tester <weka.experiment.Tester> |
default | weka.experiment.PairedCorrectedTTester -R 0 -S 0.05 -result-matrix \"weka.experiment.ResultMatrixPlainText -mean-prec 2 -stddev-prec 2 -col-name-width 0 -row-name-width 25 -mean-width 0 -stddev-width 0 -sig-width 0 -count-width 5 -print-col-names -print-row-names -enum-col-names\" |
The field to base the comparison of algorithms on.
command-line | -comparison <Elapsed_Time_training|Elapsed_Time_testing|UserCPU_Time_training|UserCPU_Time_testing|Serialized_Model_Size|Serialized_Train_Set_Size|Serialized_Test_Set_Size|Number_of_training_instances|Number_of_testing_instances|Number_correct (nominal)|Number_incorrect (nominal)|Number_unclassified (nominal)|Percent_correct (nominal)|Percent_incorrect (nominal)|Percent_unclassified (nominal)|Kappa_statistic (nominal)|Mean_absolute_error|Root_mean_squared_error|Relative_absolute_error|Root_relative_squared_error|Correlation_coefficient (numeric)|SF_prior_entropy|SF_scheme_entropy|SF_entropy_gain|SF_mean_prior_entropy|SF_mean_scheme_entropy|SF_mean_entropy_gain|KB_information (nominal)|KB_mean_information (nominal)|KB_relative_information (nominal)|True_positive_rate (nominal)|Num_true_positives (nominal)|False_positive_rate (nominal)|Num_false_positives (nominal)|True_negative_rate (nominal)|Num_true_negatives (nominal)|False_negative_rate (nominal)|Num_false_negatives (nominal)|IR_precision (nominal)|IR_recall (nominal)|F_measure (nominal)|Matthews_correlation (nominal)|Area_under_ROC (nominal)|Area_under_PRC (nominal)|Weighted_avg_true_positive_rate (nominal)|Weighted_avg_false_positive_rate (nominal)|Weighted_avg_true_negative_rate (nominal)|Weighted_avg_false_negative_rate (nominal)|Weighted_avg_IR_precision (nominal)|Weighted_avg_IR_recall (nominal)|Weighted_avg_F_measure (nominal)|Weighted_avg_matthews_correlation (nominal)|Weighted_avg_area_under_ROC (nominal)|Weighted_avg_area_under_PRC (nominal)|Bias (numeric)|Mean squared logarithmic error (numeric)|R^2 (numeric)|Standard Deviation of Residuals (numeric)|Ratio of Performance to Deviation (numeric)> |
default | PERCENT_CORRECT |
The significance level (0-1).
command-line | -significance <double> |
default | 0.05 |
minimum | 1.0E-4 |
maximum | 0.9999 |
The index of the test base (normally the first classifier, ie '0').
command-line | -test <int> |
default | 0 |
minimum | 0 |
The list of fields that define a row (normally the dataset).
command-line | -row <adams.core.base.BaseString> [-row ...] |
default | Key_Dataset |
The list of fields that define a column (normally the schemes).
command-line | -col <adams.core.base.BaseString> [-col ...] |
default | Key_Scheme, Key_Scheme_options, Key_Scheme_version_ID |
If set to true, rows and columns will be swapped.
command-line | -swap <boolean> |
default | false |
The output format for generating the output.
command-line | -format <weka.experiment.ResultMatrix> |
default | weka.experiment.ResultMatrixPlainText -mean-prec 2 -stddev-prec 2 -col-name-width 0 -row-name-width 25 -mean-width 0 -stddev-width 0 -sig-width 0 -count-width 5 -print-col-names -print-row-names -enum-col-names |
If set to true, then a header describing the experiment evaluation will get output as well.
command-line | -header <boolean> |
default | true |