Issue | #Downvotes for this reason | By |
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W | weka.CostSensitiveClassifier_SimpleLogistic(2) | Full name of base classifier. (default: weka.classifiers.functions.LinearRegression) |
-do-not-check-capabilities | If set, classifier capabilities are not checked before classifier is built (use with caution). | |
C | Do not try to eliminate colinear attributes. | |
E | Determines the parameter used for evaluation: CC = Correlation coefficient MCC = Matthews correlation coefficient RMSE = Root mean squared error RRSE = Root relative squared error MAE = Mean absolute error RAE = Root absolute error COMB = Combined = (1-abs(CC)) + RRSE + RAE ACC = Accuracy KAP = Kappa PREC = Precision (per class) WPREC = Weighted precision REC = Recall (per class) WREC = Weighted recall AUC = Area under ROC (per class) WAUC = Weighted area under ROC PRC = Area under PRC (per class) WPRC = Weighted area under PRC FM = F-Measure (per class) WFM = Weighted F-Measure TPR = True positive rate (per class) TNR = True negative rate (per class) FPR = False positive rate (per class) FNR = False negative rate (per class) (default: CC) | default: CC |
R | Set ridge parameter (default 1.0e-8). | |
S | Random number seed. (default 1) | default: 1 |
W | Full name of base classifier. (default: weka.classifiers.functions.LinearRegression) | default: weka.classifiers.meta.CostSensitiveClassifier |
additional-stats | Output additional statistics. | |
algorithm | A search algorithm. | default: weka.classifiers.meta.multisearch.DefaultSearch -sample-size 100.0 -initial-folds 2 -subsequent-folds 10 -initial-test-set . -subsequent-test-set . -num-slots 1 |
batch-size | The desired batch size for batch prediction (default 100). | |
class-label | The class label index to retrieve the metric for (if applicable). | default: 1 |
log-file | The log file to log the messages to. (default: none) | default: C:\Program Files\Weka-3-8 |
minimal | Conserve memory, don't keep dataset header and means/stdevs. Model cannot be printed out if this option is enabled. (default: keep data) | |
num-decimal-places | The number of decimal places for the output of numbers in the model (default 2). | |
output-debug-info | If set, classifier is run in debug mode and may output additional info to the console | |
search | A property search setup. |