6319 2742 weka.FilteredClassifier_AdaBoostM1_J48 weka.classifiers.meta.FilteredClassifier 1 Weka_3.8.1_12647 Weka implementation of FilteredClassifier 2017-04-17T20:18:00 English Weka_3.8.1 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). -doNotMakeSplitPointActualValue flag Do not make split point actual value. A flag Laplace smoothing for predicted probabilities. B flag Use binary splits only. C option Set confidence threshold for pruning. (default 0.25) D flag Output binary attributes for discretized attributes. E flag Use better encoding of split point for MDL. F option weka.filters.supervised.attribute.Discretize -R first-last -precision 6 Full class name of filter to use, followed by filter options. eg: "weka.filters.unsupervised.attribute.Remove -V -R 1,2" J flag Do not use MDL correction for info gain on numeric attributes. K flag Use Kononenko's MDL criterion. L flag Do not clean up after the tree has been built. M option Set minimum number of instances per leaf. (default 2) N option Set number of folds for reduced error pruning. One fold is used as pruning set. (default 3) O flag Do not collapse tree. Q option Seed for random data shuffling (default 1). R flag Use reduced error pruning. S flag Do not perform subtree raising. U flag Use unpruned tree. V flag Invert matching sense of column indexes. W baselearner weka.classifiers.meta.AdaBoostM1 Full name of base classifier. (default: weka.classifiers.trees.J48) Y flag Use bin numbers rather than ranges for discretized attributes. batch-size option The desired batch size for batch prediction (default 100). num-decimal-places option The number of decimal places for the output of numbers in the model (default 2). output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console precision option Precision for bin boundary labels. (default = 6 decimal places). W 6236 2793 weka.AdaBoostM1_J48 weka.classifiers.meta.AdaBoostM1 5 Weka_3.8.1_10969 Yoav Freund, Robert E. Schapire: Experiments with a new boosting algorithm. In: Thirteenth International Conference on Machine Learning, San Francisco, 148-156, 1996. 2017-04-15T17:07:22 English Weka_3.8.1 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). I option 10 Number of iterations. (current value 10) P option 100 Percentage of weight mass to base training on. (default 100, reduce to around 90 speed up) Q flag Use resampling for boosting. S option 1 Random number seed. (default 1) W baselearner weka.classifiers.trees.J48 Full name of base classifier. (default: weka.classifiers.trees.DecisionStump) batch-size option The desired batch size for batch prediction (default 100). num-decimal-places option The number of decimal places for the output of numbers in the model (default 2). output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console W 5886 2 weka.J48 weka.classifiers.trees.J48 38 Weka_3.8.1_11194 Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA. 2017-03-22T19:30:11 English Weka_3.8.1 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). -doNotMakeSplitPointActualValue flag Do not make split point actual value. A flag Laplace smoothing for predicted probabilities. B flag Use binary splits only. C option 0.25 Set confidence threshold for pruning. (default 0.25) J flag Do not use MDL correction for info gain on numeric attributes. L flag Do not clean up after the tree has been built. M option 2 Set minimum number of instances per leaf. (default 2) N option Set number of folds for reduced error pruning. One fold is used as pruning set. (default 3) O flag Do not collapse tree. Q option Seed for random data shuffling (default 1). R flag Use reduced error pruning. S flag Do not perform subtree raising. U flag Use unpruned tree. batch-size option The desired batch size for batch prediction (default 100). num-decimal-places option The number of decimal places for the output of numbers in the model (default 2). output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console Verified_Supervised_Classification weka weka_3.8.1 https://api.openml.org/data/download/4655903/weka.classifiers.trees.J487911117620192862098.class class 801ce6ea67763ab4a02e41f41a6b4310 Verified_Supervised_Classification weka weka_3.8.1 https://api.openml.org/data/download/5034382/weka.classifiers.meta.AdaBoostM12378439374715926533.class class 13e2a6320035048d20d94d80fe3de77c Verified_Supervised_Classification weka weka_3.8.1