6432 2749 weka.RandomizableFilteredClassifier_Stacking_SMO weka.classifiers.meta.RandomizableFilteredClassifier 1 Weka_3.9.1_9117 Weka implementation of RandomizableFilteredClassifier 2017-04-21T12:10:33 English Weka_3.9.1 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). A flag The nearest neighbour search algorithm to use (default: weka.core.neighboursearch.LinearNNSearch). D option The distribution to use for calculating the random matrix. Sparse1 is: sqrt(3)*{-1 with prob(1/6), 0 with prob(2/3), +1 with prob(1/6)} Sparse2 is: {-1 with prob(1/2), +1 with prob(1/2)} E flag Minimise mean squared error rather than mean absolute error when using -X option with numeric prediction. F option weka.filters.unsupervised.attribute.RandomProjection -N 10 -R 42 -D Sparse1 Full class name of filter to use, followed by filter options. eg: "weka.filters.unsupervised.attribute.Remove -V -R 1,2" I flag Weight neighbours by the inverse of their distance (use when k > 1) K option Number of nearest neighbours (k) used in classification. (Default = 1) M flag Replace missing values using the ReplaceMissingValues filter N option The number of dimensions (attributes) the data should be reduced to (default 10; exclusive of the class attribute, if it is set). P option The percentage of dimensions (attributes) the data should be reduced to (exclusive of the class attribute, if it is set). The -N option is ignored if this option is present and is greater than zero. R flag The random seed for the random number generator used for calculating the random matrix (default 42). S option 1 Random number seed. (default 1) W baselearner weka.classifiers.meta.Stacking Full name of base classifier. (default: weka.classifiers.lazy.IBk) X flag Select the number of nearest neighbours between 1 and the k value specified using hold-one-out evaluation on the training data (use when k > 1) 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 6422 2749 weka.Stacking_SMO weka.classifiers.meta.Stacking 2 Weka_3.9.1_12205 David H. Wolpert (1992). Stacked generalization. Neural Networks. 5:241-259. 2017-04-21T11:41:18 English Weka_3.9.1 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). B baselearner weka.classifiers.functions.SMO -C 1.0 -L 0.001 -P 1.0E-12 -N 0 -V -1 -W 1 -K "weka.classifiers.functions.supportVector.RBFKernel -G 0.01 -C 250007" -calibrator "weka.classifiers.functions.Logistic -R 1.0E-8 -M -1 -num-decimal-places 4" Full class name of classifier to include, followed by scheme options. May be specified multiple times. (default: "weka.classifiers.rules.ZeroR") M flag true Full name of meta classifier, followed by options. (default: "weka.classifiers.rules.Zero") S option 1 Random number seed. (default 1) X option 10 Sets the number of cross-validation folds. 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). num-slots option 1 Number of execution slots. (default 1 - i.e. no parallelism) output-debug-info flag If set, classifier is run in debug mode and may output additional info to the console B 6423 2749 weka.SMO weka.classifiers.functions.SMO 3 Weka_3.9.1_12558 J. Platt: Fast Training of Support Vector Machines using Sequential Minimal Optimization. In B. Schoelkopf and C. Burges and A. Smola, editors, Advances in Kernel Methods - Support Vector Learning, 1998. S.S. Keerthi, S.K. Shevade, C. Bhattacharyya, K.R.K. Murthy (2001). Improvements to Platt's SMO Algorithm for SVM Classifier Design. Neural Computation. 13(3):637-649. Trevor Hastie, Robert Tibshirani: Classification by Pairwise Coupling. In: Advances in Neural Information Processing Systems, 1998. 2017-04-21T11:41:18 English Weka_3.9.1 -do-not-check-capabilities flag If set, classifier capabilities are not checked before classifier is built (use with caution). C option 1.0 The complexity constant C. (default 1) E option The Exponent to use. (default: 1.0) K option weka.classifiers.functions.supportVector.PolyKernel -E 1.0 -C 250007 The Kernel to use. (default: weka.classifiers.functions.supportVector.PolyKernel) L option 0.001 The tolerance parameter. (default 1.0e-3) M flag Fit calibration models to SVM outputs. N option 0 Whether to 0=normalize/1=standardize/2=neither. (default 0=normalize) P option 1.0E-12 The epsilon for round-off error. (default 1.0e-12) R option Set the ridge in the log-likelihood. V option -1 The number of folds for the internal cross-validation. (default -1, use training data) W option 1 The random number seed. (default 1) batch-size option The desired batch size for batch prediction (default 100). calibrator flag true Full name of calibration model, followed by options. (default: "weka.classifiers.functions.Logistic") no-checks flag Turns off all checks - use with caution! Turning them off assumes that data is purely numeric, doesn't contain any missing values, and has a nominal class. Turning them off also means that no header information will be stored if the machine is linear. Finally, it also assumes that no instance has a weight equal to 0. (default: checks on) 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 weka weka_3.9.1 Verified_Supervised_Classification weka weka_3.9.1 https://api.openml.org/data/download/5115726/weka.classifiers.meta.Stacking4197903226761739069.class class cf47d1dfd30feb73d9f81c1d00462cc9 Verified_Supervised_Classification weka weka_3.9.1 https://api.openml.org/data/download/5115874/weka.classifiers.meta.RandomizableFilteredClassifier269752201769390293.class class 6562444b61dfad7409e229c92992e4dd