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Michel Lang 7 years ago
ran flow mlr.classif.rpart(41) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8702, f_measure: 0.9048, kappa: 0.7641, kb_relative_information_score: 648.5042, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.9044, predictive_accuracy: 0.9076, prior_entropy: 1.2149, recall: 0.9076, relative_absolute_error: 0.2294, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.1755, root_relative_squared_error: 0.6798, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.217,
Michel Lang 9 years ago
ran flow weka.REPTree(1) on task Learning Curve on data set autos
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): mean_absolute_error(1, 1, 0), predictive_accuracy(1, 1, 0), root_mean_squared_error(1, 1, 0), prior_entropy(1, 1, 0), total_cost(1, 1, 0), root_relative_squared_error(1, 1, 0), area_under_roc_curve(1, 1, 0), mean_prior_absolute_error(1, 1, 0), average_cost(1, 1, 0), number_of_instances(1, 1, 0), recall(1, 1, 0), kb_relative_information_score(1, 1, 0), kappa(1, 1, 0), root_mean_prior_squared_error(1, 1, 0), relative_absolute_error(1, 1, 0), mean_absolute_error(1, 1, 1), predictive_accuracy(1, 1, 1), root_mean_squared_error(1, 1, 1), prior_entropy(1, 1, 1), total_cost(1, 1, 1), f_measure(1, 1, 1), root_relative_squared_error(1, 1, 1), area_under_roc_curve(1, 1, 1), mean_prior_absolute_error(1, 1, 1), precision(1, 1, 1), average_cost(1, 1, 1), number_of_instances(1, 1, 1), recall(1, 1, 1), kb_relative_information_score(1, 1, 1), kappa(1, 1, 1), root_mean_prior_squared_error(1, 1, ... (message cut-off due to excessive length)
Michel Lang 9 years ago
ran flow classif.randomForest(46) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9233, f_measure: 0.8977, kappa: 0.8471, kb_relative_information_score: 42.1546, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9068, predictive_accuracy: 0.898, prior_entropy: 1.585, recall: 0.898, relative_absolute_error: 0.1531, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.5533, usercpu_time_millis: 0.087, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.071,
Michel Lang 9 years ago
ran flow classif.rpart(42) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9592, kappa: 0.9388, kb_relative_information_score: 46.2619, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.4444, number_of_instances: 49, precision: 0.9637, predictive_accuracy: 0.9592, prior_entropy: 1.585, recall: 0.9592, relative_absolute_error: 0.0612, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3499, usercpu_time_millis: 0.067, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.055,
Michel Lang 9 years ago
ran flow weka.REPTree(1) on task Learning Curve on data set autos
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): mean_absolute_error(1, 1, 0), predictive_accuracy(1, 1, 0), root_mean_squared_error(1, 1, 0), prior_entropy(1, 1, 0), total_cost(1, 1, 0), root_relative_squared_error(1, 1, 0), area_under_roc_curve(1, 1, 0), mean_prior_absolute_error(1, 1, 0), average_cost(1, 1, 0), number_of_instances(1, 1, 0), recall(1, 1, 0), kb_relative_information_score(1, 1, 0), kappa(1, 1, 0), root_mean_prior_squared_error(1, 1, 0), relative_absolute_error(1, 1, 0), mean_absolute_error(1, 1, 1), predictive_accuracy(1, 1, 1), root_mean_squared_error(1, 1, 1), prior_entropy(1, 1, 1), total_cost(1, 1, 1), f_measure(1, 1, 1), root_relative_squared_error(1, 1, 1), area_under_roc_curve(1, 1, 1), mean_prior_absolute_error(1, 1, 1), precision(1, 1, 1), average_cost(1, 1, 1), number_of_instances(1, 1, 1), recall(1, 1, 1), kb_relative_information_score(1, 1, 1), kappa(1, 1, 1), root_mean_prior_squared_error(1, 1, ... (message cut-off due to excessive length)
Michel Lang 9 years ago
ran flow weka.REPTree(1) on task Learning Curve on data set autos
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): mean_absolute_error(1, 1, 0), predictive_accuracy(1, 1, 0), root_mean_squared_error(1, 1, 0), prior_entropy(1, 1, 0), total_cost(1, 1, 0), root_relative_squared_error(1, 1, 0), area_under_roc_curve(1, 1, 0), mean_prior_absolute_error(1, 1, 0), average_cost(1, 1, 0), number_of_instances(1, 1, 0), recall(1, 1, 0), kb_relative_information_score(1, 1, 0), kappa(1, 1, 0), root_mean_prior_squared_error(1, 1, 0), relative_absolute_error(1, 1, 0), mean_absolute_error(1, 1, 1), predictive_accuracy(1, 1, 1), root_mean_squared_error(1, 1, 1), prior_entropy(1, 1, 1), total_cost(1, 1, 1), f_measure(1, 1, 1), root_relative_squared_error(1, 1, 1), area_under_roc_curve(1, 1, 1), mean_prior_absolute_error(1, 1, 1), precision(1, 1, 1), average_cost(1, 1, 1), number_of_instances(1, 1, 1), recall(1, 1, 1), kb_relative_information_score(1, 1, 1), kappa(1, 1, 1), root_mean_prior_squared_error(1, 1, ... (message cut-off due to excessive length)
Michel Lang 9 years ago
ran flow weka.REPTree(1) on task Learning Curve on data set autos
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): mean_absolute_error(1, 1, 0), predictive_accuracy(1, 1, 0), root_mean_squared_error(1, 1, 0), prior_entropy(1, 1, 0), total_cost(1, 1, 0), root_relative_squared_error(1, 1, 0), area_under_roc_curve(1, 1, 0), mean_prior_absolute_error(1, 1, 0), average_cost(1, 1, 0), number_of_instances(1, 1, 0), recall(1, 1, 0), kb_relative_information_score(1, 1, 0), kappa(1, 1, 0), root_mean_prior_squared_error(1, 1, 0), relative_absolute_error(1, 1, 0), mean_absolute_error(1, 1, 1), predictive_accuracy(1, 1, 1), root_mean_squared_error(1, 1, 1), prior_entropy(1, 1, 1), total_cost(1, 1, 1), f_measure(1, 1, 1), root_relative_squared_error(1, 1, 1), area_under_roc_curve(1, 1, 1), mean_prior_absolute_error(1, 1, 1), precision(1, 1, 1), average_cost(1, 1, 1), number_of_instances(1, 1, 1), recall(1, 1, 1), kb_relative_information_score(1, 1, 1), kappa(1, 1, 1), root_mean_prior_squared_error(1, 1, ... (message cut-off due to excessive length)
Michel Lang 9 years ago
ran flow weka.REPTree(1) on task Learning Curve on data set autos
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, kappa: 0.4917, kb_relative_information_score: 1063.2986, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, predictive_accuracy: 0.6146, prior_entropy: 2.3268, recall: 0.6146, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.846,
Michel Lang 9 years ago
ran flow classif.randomForest(43) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: Error in training the model: Error in na.fail.default(structure(list(class = structure(c(2L, 2L, 2L, : missing values in object Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.tested_negative).
Michel Lang 9 years ago
ran flow classif.randomForest(43) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: Error in training the model: Error in na.fail.default(structure(list(class = structure(c(2L, 2L, 2L, : missing values in object Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.tested_negative).
Michel Lang 9 years ago
ran flow weka.REPTree(1) on task Learning Curve on data set autos
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, kappa: 0.4917, kb_relative_information_score: 1063.2986, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, predictive_accuracy: 0.6146, prior_entropy: 2.3268, recall: 0.6146, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.846,
Michel Lang 9 years ago
ran flow weka.REPTree(1) on task Learning Curve on data set autos
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, kappa: 0.4917, kb_relative_information_score: 1063.2986, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, predictive_accuracy: 0.6146, prior_entropy: 2.3268, recall: 0.6146, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.846,
Michel Lang 9 years ago
ran flow classif.randomForest(46) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: Error in training the model: Error in na.fail.default(structure(list(class = structure(c(2L, 2L, 2L, : missing values in object Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.tested_negative).
Michel Lang 9 years ago
ran flow classif.randomForest(43) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: Error in training the model: Error in na.fail.default(structure(list(class = structure(c(2L, 2L, 2L, : missing values in object Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.tested_negative).
Michel Lang 9 years ago
ran flow classif.randomForest(46) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: Error in training the model: Error in na.fail.default(structure(list(class = structure(c(2L, 2L, 2L, : missing values in object Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.tested_negative).
Michel Lang 9 years ago
ran flow classif.randomForest(46) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: Error in training the model: Error in na.fail.default(structure(list(class = structure(c(2L, 2L, 2L, : missing values in object Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.tested_negative).
Michel Lang 9 years ago
ran flow classif.randomForest(46) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Client side error: Error in training the model: Error in na.fail.default(structure(list(class = structure(c(2L, 2L, 2L, : missing values in object Evaluation Engine Exception: Prediction file contains missing values for important attribute (confidence.tested_negative).
Michel Lang 9 years ago
ran flow weka.REPTree(1) on task Learning Curve on data set autos
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): mean_absolute_error(1, 1, 0), predictive_accuracy(1, 1, 0), root_mean_squared_error(1, 1, 0), prior_entropy(1, 1, 0), total_cost(1, 1, 0), root_relative_squared_error(1, 1, 0), area_under_roc_curve(1, 1, 0), mean_prior_absolute_error(1, 1, 0), average_cost(1, 1, 0), number_of_instances(1, 1, 0), recall(1, 1, 0), kb_relative_information_score(1, 1, 0), kappa(1, 1, 0), root_mean_prior_squared_error(1, 1, 0), relative_absolute_error(1, 1, 0), mean_absolute_error(1, 1, 1), predictive_accuracy(1, 1, 1), root_mean_squared_error(1, 1, 1), prior_entropy(1, 1, 1), total_cost(1, 1, 1), f_measure(1, 1, 1), root_relative_squared_error(1, 1, 1), area_under_roc_curve(1, 1, 1), mean_prior_absolute_error(1, 1, 1), precision(1, 1, 1), average_cost(1, 1, 1), number_of_instances(1, 1, 1), recall(1, 1, 1), kb_relative_information_score(1, 1, 1), kappa(1, 1, 1), root_mean_prior_squared_error(1, 1, ... (message cut-off due to excessive length)
Michel Lang 9 years ago
ran flow weka.REPTree(1) on task Learning Curve on data set autos
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, kappa: 0.4917, kb_relative_information_score: 1063.2986, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, predictive_accuracy: 0.6146, prior_entropy: 2.3268, recall: 0.6146, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.846,
Michel Lang 9 years ago
ran flow weka.REPTree(1) on task Learning Curve on data set autos
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, kappa: 0.4917, kb_relative_information_score: 1063.2986, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, predictive_accuracy: 0.6146, prior_entropy: 2.3268, recall: 0.6146, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.846,
Michel Lang 9 years ago
ran flow weka.REPTree(1) on task Learning Curve on data set autos
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, kappa: 0.4917, kb_relative_information_score: 1063.2986, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, predictive_accuracy: 0.6146, prior_entropy: 2.3268, recall: 0.6146, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.846,
Michel Lang 9 years ago
ran flow weka.REPTree(1) on task Learning Curve on data set autos
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): mean_absolute_error(1, 1, 0), predictive_accuracy(1, 1, 0), root_mean_squared_error(1, 1, 0), prior_entropy(1, 1, 0), total_cost(1, 1, 0), root_relative_squared_error(1, 1, 0), area_under_roc_curve(1, 1, 0), mean_prior_absolute_error(1, 1, 0), average_cost(1, 1, 0), number_of_instances(1, 1, 0), recall(1, 1, 0), kb_relative_information_score(1, 1, 0), kappa(1, 1, 0), root_mean_prior_squared_error(1, 1, 0), relative_absolute_error(1, 1, 0), mean_absolute_error(1, 1, 1), predictive_accuracy(1, 1, 1), root_mean_squared_error(1, 1, 1), prior_entropy(1, 1, 1), total_cost(1, 1, 1), f_measure(1, 1, 1), root_relative_squared_error(1, 1, 1), area_under_roc_curve(1, 1, 1), mean_prior_absolute_error(1, 1, 1), precision(1, 1, 1), average_cost(1, 1, 1), number_of_instances(1, 1, 1), recall(1, 1, 1), kb_relative_information_score(1, 1, 1), kappa(1, 1, 1), root_mean_prior_squared_error(1, 1, ... (message cut-off due to excessive length)
Michel Lang 9 years ago
ran flow weka.REPTree(1) on task Learning Curve on data set autos
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, kappa: 0.4917, kb_relative_information_score: 1063.2986, mean_absolute_error: 0.1271, mean_prior_absolute_error: 0.2209, number_of_instances: 2050, predictive_accuracy: 0.6146, prior_entropy: 2.3268, recall: 0.6146, relative_absolute_error: 0.5752, root_mean_prior_squared_error: 0.3318, root_mean_squared_error: 0.2807, root_relative_squared_error: 0.846,
Michel Lang 9 years ago
ran flow classif.randomForest(58) on task Supervised Classification on data set boston
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.102, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.091,
Michel Lang 9 years ago
ran flow classif.randomForest(58) on task Supervised Classification on data set boston
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.8812, kappa: 0.7548, kb_relative_information_score: 380.5459, mean_absolute_error: 0.1186, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9782, recall: 0.8814, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3444, root_relative_squared_error: 0.6994, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.089,
Michel Lang 9 years ago
ran flow classif.logreg(12) on task Supervised Classification on data set boston
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.085, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.07,
Michel Lang 9 years ago
ran flow classif.logreg(12) on task Supervised Classification on data set boston
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.873, kappa: 0.7373, kb_relative_information_score: 372.1882, mean_absolute_error: 0.1265, mean_prior_absolute_error: 0.4849, number_of_instances: 506, precision: 0.8732, predictive_accuracy: 0.8735, prior_entropy: 0.9782, recall: 0.8735, relative_absolute_error: 0.2608, root_mean_prior_squared_error: 0.4924, root_mean_squared_error: 0.3556, root_relative_squared_error: 0.7223, usercpu_time_millis: 0.14, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.054,
Michel Lang 9 years ago
ran flow mlr.classif.rpart(11) on task Supervised Classification on data set lymph
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.7727, kappa: 0.5865, kb_relative_information_score: 77.9417, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.7571, predictive_accuracy: 0.7905, prior_entropy: 1.2818, recall: 0.7905, relative_absolute_error: 0.3912, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.3236, root_relative_squared_error: 0.8892, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.102,
Michel Lang 6 years ago
ran flow mlr.classif.rpart(27) on task Supervised Classification on data set bridges
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Attribute confidence.WOOD not found among predictions.
Michel Lang 8 years ago
ran flow mlr.classif.rpart.tuned(4) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 134.9402, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.469,
Michel Lang 8 years ago
ran flow mlr.classif.rpart.tuned(4) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 134.9402, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.469,
Michel Lang 8 years ago
ran flow mlr.classif.rpart.tuned(4) on task Supervised Classification on data set iris
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9267, kappa: 0.89, kb_relative_information_score: 134.9402, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9268, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.11, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.469,
Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7637, f_measure: 0.6345, kappa: 0.5255, kb_relative_information_score: 5508.286, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6351, predictive_accuracy: 0.6383, prior_entropy: 2.1936, recall: 0.6383, relative_absolute_error: 0.4721, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.9717,
Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(78) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.4092, kappa: 0.2705, kb_relative_information_score: 3212.5156, mean_absolute_error: 0.2118, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.4214, predictive_accuracy: 0.4706, prior_entropy: 2.1936, recall: 0.4706, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.4602, root_relative_squared_error: 1.1756,
Michel Lang 8 years ago
ran flow mlr.classif.ranger.preproc.preproc.tuned(69) on task Supervised Classification on data set GesturePhaseSegmentationProcessed
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.6678, kappa: 0.5709, kb_relative_information_score: 5837.3681, mean_absolute_error: 0.1282, mean_prior_absolute_error: 0.3065, number_of_instances: 9873, precision: 0.6869, predictive_accuracy: 0.6794, prior_entropy: 2.1936, recall: 0.6794, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.3915, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.9148,
Michel Lang 8 years ago
ran flow mlr.classif.svm.preproc.preproc.tuned(81) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 1078.9385, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.9931, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
Michel Lang 8 years ago
ran flow mlr.classif.kknn.preproc.preproc.tuned(1) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 1078.8957, mean_absolute_error: 0.0002, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.9931, recall: 0.9991, relative_absolute_error: 0.0011, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0152, root_relative_squared_error: 0.046,
Michel Lang 8 years ago
ran flow mlr.classif.glmnet.preproc.preproc.tuned(79) on task Supervised Classification on data set MiceProtein
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9226, kappa: 0.912, kb_relative_information_score: 989.4886, mean_absolute_error: 0.0192, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9274, predictive_accuracy: 0.9231, prior_entropy: 2.9931, recall: 0.9231, relative_absolute_error: 0.0879, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.4194,
Michel Lang 8 years ago
ran flow mlr.classif.rpart.preproc.preproc.tuned(88) on task Supervised Classification on data set Amazon_employee_access
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5902, f_measure: 0.9285, kappa: 0.2473, kb_relative_information_score: 6947.4186, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.1091, number_of_instances: 32769, precision: 0.9236, predictive_accuracy: 0.9401, prior_entropy: 0.3191, recall: 0.9401, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.2335, root_mean_squared_error: 0.2448, root_relative_squared_error: 1.048,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set anneal
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.2877, kappa: 0.2118, kb_relative_information_score: -321.9056, mean_absolute_error: 0.2205, mean_prior_absolute_error: 0.1343, number_of_instances: 898, precision: 0.8083, predictive_accuracy: 0.3385, prior_entropy: 1.2149, recall: 0.3385, relative_absolute_error: 1.6417, root_mean_prior_squared_error: 0.2582, root_mean_squared_error: 0.4696, root_relative_squared_error: 1.8185,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, f_measure: 0.8744, kappa: 0.7483, kb_relative_information_score: 2391.7083, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.8746, predictive_accuracy: 0.8745, prior_entropy: 0.9986, recall: 0.8745, relative_absolute_error: 0.2514, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.3542, root_relative_squared_error: 0.7091,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8139, f_measure: 0.6392, kappa: 0.6277, kb_relative_information_score: 12747.6832, mean_absolute_error: 0.0275, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6558, predictive_accuracy: 0.6421, prior_entropy: 4.6998, recall: 0.6421, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.8629,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9139, f_measure: 0.8702, kappa: 0.8279, kb_relative_information_score: 470.02, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.3798, number_of_instances: 625, precision: 0.8361, predictive_accuracy: 0.9072, prior_entropy: 1.3212, recall: 0.9072, relative_absolute_error: 0.1629, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.571,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9241, kappa: 0.9156, kb_relative_information_score: 1841.0449, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9252, predictive_accuracy: 0.924, prior_entropy: 3.3219, recall: 0.924, relative_absolute_error: 0.0844, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.411,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.7602, kappa: 0.7328, kb_relative_information_score: 1496.9906, mean_absolute_error: 0.0481, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7668, predictive_accuracy: 0.7595, prior_entropy: 3.3219, recall: 0.7595, relative_absolute_error: 0.2672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2193, root_relative_squared_error: 0.7311,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set breast-w
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9602, kappa: 0.9127, kb_relative_information_score: 634.0831, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.452, number_of_instances: 699, precision: 0.9616, predictive_accuracy: 0.9599, prior_entropy: 0.9297, recall: 0.9599, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2001, root_relative_squared_error: 0.4211,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9353, kappa: 0.9278, kb_relative_information_score: 1864.0515, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9371, predictive_accuracy: 0.935, prior_entropy: 3.3219, recall: 0.935, relative_absolute_error: 0.0722, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.114, root_relative_squared_error: 0.3801,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7875, f_measure: 0.5479, kappa: 0.575, kb_relative_information_score: 1199.9955, mean_absolute_error: 0.0765, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.5771, predictive_accuracy: 0.6175, prior_entropy: 3.3219, recall: 0.6175, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2766, root_relative_squared_error: 0.922,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set mfeat-pixel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9406, kappa: 0.9339, kb_relative_information_score: 1875.5549, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.9418, predictive_accuracy: 0.9405, prior_entropy: 3.3219, recall: 0.9405, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1091, root_relative_squared_error: 0.3636,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set car
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.8519, kappa: 0.678, kb_relative_information_score: 1076.031, mean_absolute_error: 0.0706, mean_prior_absolute_error: 0.229, number_of_instances: 1728, precision: 0.8556, predictive_accuracy: 0.8588, prior_entropy: 1.2099, recall: 0.8588, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.3381, root_mean_squared_error: 0.2657, root_relative_squared_error: 0.7859,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8528, f_measure: 0.734, kappa: 0.7056, kb_relative_information_score: 1445.7485, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.734, predictive_accuracy: 0.735, prior_entropy: 3.3219, recall: 0.735, relative_absolute_error: 0.2944, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.7674,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6236, f_measure: 0.5008, kappa: 0.241, kb_relative_information_score: 425.5219, mean_absolute_error: 0.3358, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5165, predictive_accuracy: 0.4963, prior_entropy: 1.5392, recall: 0.4963, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5795, root_relative_squared_error: 1.2486,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set mushroom
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9379, f_measure: 0.9396, kappa: 0.8792, kb_relative_information_score: 7146.1756, mean_absolute_error: 0.0601, mean_prior_absolute_error: 0.4994, number_of_instances: 8124, precision: 0.9449, predictive_accuracy: 0.9399, prior_entropy: 0.9991, recall: 0.9399, relative_absolute_error: 0.1203, root_mean_prior_squared_error: 0.4997, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.4905,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9065, f_measure: 0.8335, kappa: 0.813, kb_relative_information_score: 4632.2204, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8664, predictive_accuracy: 0.8317, prior_entropy: 3.3218, recall: 0.8317, relative_absolute_error: 0.187, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.6116,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set credit-approval
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.7623, kappa: 0.5212, kb_relative_information_score: 368.395, mean_absolute_error: 0.229, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.7884, predictive_accuracy: 0.771, prior_entropy: 0.9913, recall: 0.771, relative_absolute_error: 0.4636, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4785, root_relative_squared_error: 0.9629,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.7423, kappa: 0.3725, kb_relative_information_score: 361.4067, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7394, predictive_accuracy: 0.75, prior_entropy: 0.8818, recall: 0.75, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0911,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8533, kappa: 0.8406, kb_relative_information_score: 9337.7468, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8626, predictive_accuracy: 0.8565, prior_entropy: 3.3208, recall: 0.8565, relative_absolute_error: 0.1594, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.5647,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set segment
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.7773, kappa: 0.7631, kb_relative_information_score: 1803.8469, mean_absolute_error: 0.058, mean_prior_absolute_error: 0.2449, number_of_instances: 2310, precision: 0.8122, predictive_accuracy: 0.797, prior_entropy: 2.8074, recall: 0.797, relative_absolute_error: 0.2369, root_mean_prior_squared_error: 0.3499, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.6883,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, f_measure: 0.7571, kappa: 0.4596, kb_relative_information_score: 346.4262, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7559, predictive_accuracy: 0.7604, prior_entropy: 0.9335, recall: 0.7604, relative_absolute_error: 0.5271, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4895, root_relative_squared_error: 1.0269,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set soybean
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9132, kappa: 0.904, kb_relative_information_score: 628.759, mean_absolute_error: 0.0092, mean_prior_absolute_error: 0.0961, number_of_instances: 683, precision: 0.9288, predictive_accuracy: 0.9122, prior_entropy: 3.8572, recall: 0.9122, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.2191, root_mean_squared_error: 0.0962, root_relative_squared_error: 0.4389,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7116, kappa: 0.4608, kb_relative_information_score: 1792.1818, mean_absolute_error: 0.2858, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8042, predictive_accuracy: 0.7142, prior_entropy: 0.9674, recall: 0.7142, relative_absolute_error: 0.5985, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.5346, root_relative_squared_error: 1.0941,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.9555, kappa: 0.9276, kb_relative_information_score: 2970.7923, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9555, predictive_accuracy: 0.9555, prior_entropy: 1.4804, recall: 0.9555, relative_absolute_error: 0.0724, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.1723, root_relative_squared_error: 0.3805,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6348, f_measure: 0.6846, kappa: 0.2881, kb_relative_information_score: 292.933, mean_absolute_error: 0.3017, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.6845, predictive_accuracy: 0.6983, prior_entropy: 0.9312, recall: 0.6983, relative_absolute_error: 0.6659, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.5492, root_relative_squared_error: 1.1542,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.4243, kappa: 0.279, kb_relative_information_score: 292.6917, mean_absolute_error: 0.2725, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.5184, predictive_accuracy: 0.4551, prior_entropy: 1.9991, recall: 0.4551, relative_absolute_error: 0.7269, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.522, root_relative_squared_error: 1.2057,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set waveform-5000
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.7877, kappa: 0.6999, kb_relative_information_score: 3632.8179, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.4444, number_of_instances: 5000, precision: 0.8341, predictive_accuracy: 0.7996, prior_entropy: 1.5849, recall: 0.7996, relative_absolute_error: 0.3006, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.3655, root_relative_squared_error: 0.7754,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7044, kappa: 0.4068, kb_relative_information_score: 19999.6587, mean_absolute_error: 0.2702, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7701, predictive_accuracy: 0.7298, prior_entropy: 0.9835, recall: 0.7298, relative_absolute_error: 0.553, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5198, root_relative_squared_error: 1.0517,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8036, kappa: 0.75, kb_relative_information_score: 4926.8134, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8193, predictive_accuracy: 0.7956, prior_entropy: 2.4836, recall: 0.7956, relative_absolute_error: 0.2522, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.261, root_relative_squared_error: 0.7102,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set abalone
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5669, f_measure: 0.2026, kappa: 0.1357, kb_relative_information_score: 761.6306, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.0618, number_of_instances: 4177, precision: 0.1934, predictive_accuracy: 0.2339, prior_entropy: 3.6268, recall: 0.2339, relative_absolute_error: 0.8551, root_mean_prior_squared_error: 0.1757, root_mean_squared_error: 0.2299, root_relative_squared_error: 1.3081,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set eucalyptus
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.5005, kappa: 0.3706, kb_relative_information_score: 306.7086, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.3132, number_of_instances: 736, precision: 0.6335, predictive_accuracy: 0.5054, prior_entropy: 2.2629, recall: 0.5054, relative_absolute_error: 0.6316, root_mean_prior_squared_error: 0.3957, root_mean_squared_error: 0.4448, root_relative_squared_error: 1.124,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set Australian
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7846, f_measure: 0.7939, kappa: 0.5826, kb_relative_information_score: 407.0648, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.494, number_of_instances: 690, precision: 0.8075, predictive_accuracy: 0.7986, prior_entropy: 0.9913, recall: 0.7986, relative_absolute_error: 0.4078, root_mean_prior_squared_error: 0.497, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9032,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set sick
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.9249, kappa: 0.4788, kb_relative_information_score: -362.846, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9487, predictive_accuracy: 0.9115, prior_entropy: 0.3333, recall: 0.9115, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2976, root_relative_squared_error: 1.2411,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.6221, kappa: 0.5856, kb_relative_information_score: 602.1742, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6262, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4144, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.9104,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set isolet
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9256, f_measure: 0.8556, kappa: 0.8513, kb_relative_information_score: 6668.4834, mean_absolute_error: 0.011, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8671, predictive_accuracy: 0.857, prior_entropy: 4.7004, recall: 0.857, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.5454,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set scene
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.7221, kappa: 0.3259, kb_relative_information_score: -678.8923, mean_absolute_error: 0.3145, mean_prior_absolute_error: 0.2942, number_of_instances: 2407, precision: 0.8494, predictive_accuracy: 0.6855, prior_entropy: 0.6786, recall: 0.6855, relative_absolute_error: 1.0691, root_mean_prior_squared_error: 0.3834, root_mean_squared_error: 0.5608, root_relative_squared_error: 1.4627,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set monks-problems-1
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7464, f_measure: 0.729, kappa: 0.4928, kb_relative_information_score: 274, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.5, number_of_instances: 556, precision: 0.8317, predictive_accuracy: 0.7464, prior_entropy: 1, recall: 0.7464, relative_absolute_error: 0.5072, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5036, root_relative_squared_error: 1.0072,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set monks-problems-2
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4759, f_measure: 0.5059, kappa: -0.0614, kb_relative_information_score: 79.5578, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4246, predictive_accuracy: 0.6256, prior_entropy: 0.9279, recall: 0.6256, relative_absolute_error: 0.8306, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.6119, root_relative_squared_error: 1.2891,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set monks-problems-3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 513.905, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set webdata_wXa
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7247, f_measure: 0.6563, kappa: 0.3081, kb_relative_information_score: -5056.2909, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.3648, number_of_instances: 36974, precision: 0.8123, predictive_accuracy: 0.6318, prior_entropy: 0.7951, recall: 0.6318, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4271, root_mean_squared_error: 0.6068, root_relative_squared_error: 1.4207,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set JapaneseVowels
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.8578, kappa: 0.839, kb_relative_information_score: 8427.2955, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.1962, number_of_instances: 9961, precision: 0.8612, predictive_accuracy: 0.8579, prior_entropy: 3.1321, recall: 0.8579, relative_absolute_error: 0.1609, root_mean_prior_squared_error: 0.3132, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.5673,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set synthetic_control
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9429, kappa: 0.932, kb_relative_information_score: 562.5403, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.2778, number_of_instances: 600, precision: 0.9507, predictive_accuracy: 0.9433, prior_entropy: 2.585, recall: 0.9433, relative_absolute_error: 0.068, root_mean_prior_squared_error: 0.3727, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.3688,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set tr45.wc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0013, kappa: 0, kb_relative_information_score: -19.1748, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.172, number_of_instances: 690, precision: 0.0007, predictive_accuracy: 0.0261, prior_entropy: 3.0415, recall: 0.0261, relative_absolute_error: 1.1321, root_mean_prior_squared_error: 0.2932, root_mean_squared_error: 0.4413, root_relative_squared_error: 1.5053,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set oh15.wc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5052, f_measure: 0.0251, kappa: 0.0104, kb_relative_information_score: 30.9442, mean_absolute_error: 0.186, mean_prior_absolute_error: 0.1768, number_of_instances: 913, precision: 0.0314, predictive_accuracy: 0.0701, prior_entropy: 3.2121, recall: 0.0701, relative_absolute_error: 1.0522, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.4313, root_relative_squared_error: 1.4508,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set fbis.wc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.118, kappa: 0.075, kb_relative_information_score: 174.3012, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1047, number_of_instances: 2463, precision: 0.7364, predictive_accuracy: 0.1015, prior_entropy: 3.5848, recall: 0.1015, relative_absolute_error: 1.0091, root_mean_prior_squared_error: 0.2288, root_mean_squared_error: 0.3251, root_relative_squared_error: 1.4209,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set oh0.wc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.0349, kappa: 0.0356, kb_relative_information_score: 55.0228, mean_absolute_error: 0.1827, mean_prior_absolute_error: 0.1749, number_of_instances: 1003, precision: 0.0415, predictive_accuracy: 0.0867, prior_entropy: 3.1536, recall: 0.0867, relative_absolute_error: 1.044, root_mean_prior_squared_error: 0.2957, root_mean_squared_error: 0.4274, root_relative_squared_error: 1.4452,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set la2s.wc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5253, f_measure: 0.0486, kappa: 0.05, kb_relative_information_score: 183.4612, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.2655, number_of_instances: 3075, precision: 0.17, predictive_accuracy: 0.1343, prior_entropy: 2.4305, recall: 0.1343, relative_absolute_error: 1.0869, root_mean_prior_squared_error: 0.3643, root_mean_squared_error: 0.5372, root_relative_squared_error: 1.4744,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set oh5.wc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.0316, kappa: 0.0148, kb_relative_information_score: 41.8639, mean_absolute_error: 0.1839, mean_prior_absolute_error: 0.1775, number_of_instances: 918, precision: 0.066, predictive_accuracy: 0.0806, prior_entropy: 3.2382, recall: 0.0806, relative_absolute_error: 1.0358, root_mean_prior_squared_error: 0.2979, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.4394,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set la1s.wc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.0368, kappa: 0.0107, kb_relative_information_score: 78.4914, mean_absolute_error: 0.2949, mean_prior_absolute_error: 0.2665, number_of_instances: 3204, precision: 0.1731, predictive_accuracy: 0.1152, prior_entropy: 2.4437, recall: 0.1152, relative_absolute_error: 1.1066, root_mean_prior_squared_error: 0.365, root_mean_squared_error: 0.5431, root_relative_squared_error: 1.4878,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set ohscal.wc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5133, f_measure: 0.0368, kappa: 0.0262, kb_relative_information_score: 655.1186, mean_absolute_error: 0.1822, mean_prior_absolute_error: 0.1787, number_of_instances: 11162, precision: 0.0598, predictive_accuracy: 0.0889, prior_entropy: 3.2759, recall: 0.0889, relative_absolute_error: 1.0196, root_mean_prior_squared_error: 0.2989, root_mean_squared_error: 0.4269, root_relative_squared_error: 1.428,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set oh10.wc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5063, f_measure: 0.0126, kappa: 0.0127, kb_relative_information_score: 35.9841, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.1768, number_of_instances: 1050, precision: 0.0073, predictive_accuracy: 0.0686, prior_entropy: 3.2054, recall: 0.0686, relative_absolute_error: 1.0538, root_mean_prior_squared_error: 0.2973, root_mean_squared_error: 0.4316, root_relative_squared_error: 1.4519,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set irish
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.98, kappa: 0.9595, kb_relative_information_score: 479.5998, mean_absolute_error: 0.02, mean_prior_absolute_error: 0.4938, number_of_instances: 500, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.991, recall: 0.98, relative_absolute_error: 0.0405, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.2846,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9881, kappa: 0.9827, kb_relative_information_score: 827.2323, mean_absolute_error: 0.0059, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9882, predictive_accuracy: 0.9881, prior_entropy: 1.7898, recall: 0.9881, relative_absolute_error: 0.0173, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.0771, root_relative_squared_error: 0.186,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, f_measure: 0.2053, kappa: 0.0536, kb_relative_information_score: 104.7518, mean_absolute_error: 0.2627, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2039, predictive_accuracy: 0.212, prior_entropy: 2.5803, recall: 0.212, relative_absolute_error: 0.9468, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.5125, root_relative_squared_error: 1.3761,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set profb
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5592, f_measure: 0.6263, kappa: 0.1352, kb_relative_information_score: 138.1532, mean_absolute_error: 0.3363, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6292, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5799, root_relative_squared_error: 1.2302,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set collins
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.8636, kappa: 0.8504, kb_relative_information_score: 424.1518, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.1212, number_of_instances: 500, precision: 0.8661, predictive_accuracy: 0.864, prior_entropy: 3.6642, recall: 0.864, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.246, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.5473,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set sylva_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5302, f_measure: 0.1181, kappa: 0.0079, kb_relative_information_score: -141647.1102, mean_absolute_error: 0.8798, mean_prior_absolute_error: 0.1156, number_of_instances: 14395, precision: 0.9403, predictive_accuracy: 0.1202, prior_entropy: 0.3338, recall: 0.1202, relative_absolute_error: 7.6125, root_mean_prior_squared_error: 0.2403, root_mean_squared_error: 0.938, root_relative_squared_error: 3.9028,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set gina_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7831, f_measure: 0.783, kappa: 0.5675, kb_relative_information_score: 1971.396, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4999, number_of_instances: 3468, precision: 0.7894, predictive_accuracy: 0.7843, prior_entropy: 0.9998, recall: 0.7843, relative_absolute_error: 0.4315, root_mean_prior_squared_error: 0.4999, root_mean_squared_error: 0.4644, root_relative_squared_error: 0.929,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set ada_agnostic
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7539, f_measure: 0.7002, kappa: 0.3711, kb_relative_information_score: 172.6069, mean_absolute_error: 0.3211, mean_prior_absolute_error: 0.3732, number_of_instances: 4562, precision: 0.8207, predictive_accuracy: 0.6789, prior_entropy: 0.8085, recall: 0.6789, relative_absolute_error: 0.8605, root_mean_prior_squared_error: 0.4319, root_mean_squared_error: 0.5667, root_relative_squared_error: 1.312,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set mozilla4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7418, f_measure: 0.6978, kappa: 0.4078, kb_relative_information_score: 4045.2385, mean_absolute_error: 0.3099, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7864, predictive_accuracy: 0.6901, prior_entropy: 0.9135, recall: 0.6901, relative_absolute_error: 0.7024, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5567, root_relative_squared_error: 1.1853,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set pc4
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6747, f_measure: 0.8672, kappa: 0.3661, kb_relative_information_score: 321.4666, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.2148, number_of_instances: 1458, precision: 0.8644, predictive_accuracy: 0.8704, prior_entropy: 0.5368, recall: 0.8704, relative_absolute_error: 0.6036, root_mean_prior_squared_error: 0.3274, root_mean_squared_error: 0.36, root_relative_squared_error: 1.0998,
Michel Lang 8 years ago
ran flow mlr.classif.naiveBayes.preproc.preproc(4) on task Supervised Classification on data set pc3
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.5485, kappa: 0.0825, kb_relative_information_score: -4482.6846, mean_absolute_error: 0.5374, mean_prior_absolute_error: 0.1842, number_of_instances: 1563, precision: 0.8756, predictive_accuracy: 0.4626, prior_entropy: 0.478, recall: 0.4626, relative_absolute_error: 2.9179, root_mean_prior_squared_error: 0.3031, root_mean_squared_error: 0.7331, root_relative_squared_error: 2.4184,