Task
Supervised Classification on Speech

Supervised Classification on Speech

Task 167132 Supervised Classification Speech 1599 runs submitted
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Celine Verhoef 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, kb_relative_information_score: -21715.0863, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 1.3705, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.9944,
F M 6 years ago
ran flow sklearn.pipeline.Pipeline(Clas ... ation.KNeighborsClassifier)(2) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7601, f_measure: 0.9871, kappa: 0.581, kb_relative_information_score: 1476.9743, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9866, predictive_accuracy: 0.9878, prior_entropy: 0.1231, recall: 0.9878, relative_absolute_error: 0.3722, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1105, root_relative_squared_error: 0.8661,
Jorge Gomez 6 years ago
ran flow sklearn.pipeline.Pipeline(stan ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Ray Feng 6 years ago
ran flow sklearn.svm.classes.SVC(16) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Ray Feng 6 years ago
ran flow sklearn.svm.classes.SVC(16) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Ray Feng 6 years ago
ran flow sklearn.svm.classes.SVC(16) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Ray Feng 6 years ago
ran flow sklearn.svm.classes.SVC(16) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Ray Feng 6 years ago
ran flow sklearn.svm.classes.SVC(16) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Jorge Gomez 6 years ago
ran flow sklearn.pipeline.Pipeline(stan ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6316, f_measure: 0.9741, kappa: 0.24, kb_relative_information_score: -1166.6434, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9753, predictive_accuracy: 0.9729, prior_entropy: 0.1231, recall: 0.9729, relative_absolute_error: 0.827, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1647, root_relative_squared_error: 1.2911,
Jorge Gomez 6 years ago
ran flow sklearn.pipeline.Pipeline(stan ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.9714, kappa: 0.2112, kb_relative_information_score: -1935.6958, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9746, predictive_accuracy: 0.9685, prior_entropy: 0.1231, recall: 0.9685, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1774, root_relative_squared_error: 1.3906,
Ray Feng 6 years ago
ran flow sklearn.svm.classes.SVC(16) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Ray Feng 6 years ago
ran flow sklearn.svm.classes.SVC(16) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Sami Ozarik 6 years ago
ran flow imblearn.pipeline.Pipeline(ADA ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5228, kb_relative_information_score: -72163.0784, mean_absolute_error: 0.1082, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 3.2988, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1497, root_relative_squared_error: 1.1734,
Jorge Gomez 6 years ago
ran flow sklearn.pipeline.Pipeline(stan ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.9714, kappa: 0.2112, kb_relative_information_score: -1935.6958, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9746, predictive_accuracy: 0.9685, prior_entropy: 0.1231, recall: 0.9685, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1774, root_relative_squared_error: 1.3906,
Celine Verhoef 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7911, kb_relative_information_score: -21715.0863, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 1.3705, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.9944,
Sami Ozarik 6 years ago
ran flow imblearn.pipeline.Pipeline(ADA ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
Sami Ozarik 6 years ago
ran flow imblearn.pipeline.Pipeline(ADA ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8144, f_measure: 0.979, kappa: 0.1767, kb_relative_information_score: 743.5919, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9853, predictive_accuracy: 0.9851, prior_entropy: 0.1231, recall: 0.9851, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1181, root_relative_squared_error: 0.9256,
Sami Ozarik 6 years ago
ran flow imblearn.pipeline.Pipeline(ADA ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.9394, kappa: 0.0691, kb_relative_information_score: -20716.4961, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9716, predictive_accuracy: 0.9118, prior_entropy: 0.1231, recall: 0.9118, relative_absolute_error: 2.9069, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.2675, root_relative_squared_error: 2.0967,
Sami Ozarik 6 years ago
ran flow imblearn.pipeline.Pipeline(ADA ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.9406, kappa: 0.0662, kb_relative_information_score: -19563.6313, mean_absolute_error: 0.0915, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9713, predictive_accuracy: 0.914, prior_entropy: 0.1231, recall: 0.914, relative_absolute_error: 2.7902, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.2644, root_relative_squared_error: 2.0722,
Ray Feng 6 years ago
ran flow sklearn.svm.classes.SVC(16) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Sami Ozarik 6 years ago
ran flow imblearn.pipeline.Pipeline(ADA ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7938, f_measure: 0.9778, kappa: 0.2278, kb_relative_information_score: -4409.7232, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9757, predictive_accuracy: 0.9807, prior_entropy: 0.1231, recall: 0.9807, relative_absolute_error: 0.8048, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9959,
Ray Feng 6 years ago
ran flow sklearn.svm.classes.SVC(16) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Ray Feng 6 years ago
ran flow sklearn.pipeline.Pipeline(Knn= ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7706, kb_relative_information_score: -22428.437, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 1.3852, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1268, root_relative_squared_error: 0.9936,
Ray Feng 6 years ago
ran flow sklearn.pipeline.Pipeline(Knn= ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, kb_relative_information_score: -27790.9805, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 1.5048, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.126, root_relative_squared_error: 0.9878,
Ray Feng 6 years ago
ran flow sklearn.svm.classes.SVC(16) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Thomas Mulder 6 years ago
ran flow imblearn.pipeline.Pipeline(smo ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, kb_relative_information_score: -168759.0706, mean_absolute_error: 0.9425, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.0165, prior_entropy: 0.1231, recall: 0.0165, relative_absolute_error: 28.7325, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.9511, root_relative_squared_error: 7.4556,
Thomas Mulder 6 years ago
ran flow imblearn.pipeline.Pipeline(smo ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, kb_relative_information_score: -169366.0439, mean_absolute_error: 0.9557, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.0165, prior_entropy: 0.1231, recall: 0.0165, relative_absolute_error: 29.1345, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.9641, root_relative_squared_error: 7.5571,
Jorge Gomez 6 years ago
ran flow sklearn.pipeline.Pipeline(stan ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Thomas Mulder 6 years ago
ran flow imblearn.pipeline.Pipeline(smo ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.0027, kappa: 0, kb_relative_information_score: -167503.5525, mean_absolute_error: 0.9161, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9837, predictive_accuracy: 0.0176, prior_entropy: 0.1231, recall: 0.0176, relative_absolute_error: 27.9278, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.9254, root_relative_squared_error: 7.2539,
Thomas Mulder 6 years ago
ran flow imblearn.pipeline.Pipeline(smo ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.0011, kappa: 0, kb_relative_information_score: -168232.019, mean_absolute_error: 0.9313, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9837, predictive_accuracy: 0.0168, prior_entropy: 0.1231, recall: 0.0168, relative_absolute_error: 28.3891, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.9401, root_relative_squared_error: 7.3689,
Jeroen van Doorenmalen 6 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(10) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8089, f_measure: 0.9788, kappa: 0.2189, kb_relative_information_score: -3857.781, mean_absolute_error: 0.0254, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9773, predictive_accuracy: 0.9832, prior_entropy: 0.1231, recall: 0.9832, relative_absolute_error: 0.7757, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.9737,
Jeroen van Doorenmalen 6 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(10) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8015, f_measure: 0.9783, kappa: 0.2589, kb_relative_information_score: -3344.0125, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9765, predictive_accuracy: 0.9807, prior_entropy: 0.1231, recall: 0.9807, relative_absolute_error: 0.766, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1281, root_relative_squared_error: 1.0042,
Jeroen van Doorenmalen 6 years ago
ran flow sklearn.linear_model.logistic.LogisticRegression(10) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.9776, kappa: 0.2591, kb_relative_information_score: -2859.5951, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9762, predictive_accuracy: 0.9794, prior_entropy: 0.1231, recall: 0.9794, relative_absolute_error: 0.7662, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1339, root_relative_squared_error: 1.0495,
Jorge Gomez 6 years ago
ran flow sklearn.pipeline.Pipeline(stan ... vc=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Xinyi Kong 6 years ago
ran flow imblearn.pipeline.Pipeline(sca ... ation.KNeighborsClassifier)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.0027, kappa: 0, kb_relative_information_score: -166904.7652, mean_absolute_error: 0.9033, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9837, predictive_accuracy: 0.0176, prior_entropy: 0.1231, recall: 0.0176, relative_absolute_error: 27.5356, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.9124, root_relative_squared_error: 7.1517,
Jorge Gomez 6 years ago
ran flow sklearn.pipeline.Pipeline(stan ... vc=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6294, f_measure: 0.9714, kappa: 0.2112, kb_relative_information_score: -1935.6958, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9746, predictive_accuracy: 0.9685, prior_entropy: 0.1231, recall: 0.9685, relative_absolute_error: 0.9593, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1774, root_relative_squared_error: 1.3906,
Rob Teeuwen 6 years ago
ran flow sklearn.pipeline.Pipeline(scal ... vm=sklearn.svm.classes.SVC)(2) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Sami Ozarik 6 years ago
ran flow imblearn.pipeline.Pipeline(ADA ... er=sklearn.svm.classes.SVC)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4929, kb_relative_information_score: -84716.3129, mean_absolute_error: 0.1406, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 4.2857, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1699, root_relative_squared_error: 1.3317,
Jorge Gomez 6 years ago
ran flow sklearn.pipeline.Pipeline(stan ... est.RandomForestClassifier)(2) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5391, f_measure: 0.9746, kappa: 0.0236, kb_relative_information_score: -5908.0082, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9691, predictive_accuracy: 0.9813, prior_entropy: 0.1231, recall: 0.9813, relative_absolute_error: 1.0421, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1485, root_relative_squared_error: 1.1644,
Jorge Gomez 6 years ago
ran flow sklearn.pipeline.Pipeline(stan ... est.RandomForestClassifier)(2) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5411, f_measure: 0.9748, kappa: 0.0244, kb_relative_information_score: -5367.2166, mean_absolute_error: 0.0326, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9692, predictive_accuracy: 0.9816, prior_entropy: 0.1231, recall: 0.9816, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1462, root_relative_squared_error: 1.1459,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, kb_relative_information_score: -2355.5223, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9951,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, kb_relative_information_score: -2355.3987, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9951,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, kb_relative_information_score: -2355.6219, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9951,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, kb_relative_information_score: -2355.4415, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9951,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, kb_relative_information_score: -2355.5302, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9951,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, kb_relative_information_score: -2355.5113, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9951,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, kb_relative_information_score: -2358.0628, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9951,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, kb_relative_information_score: -2374.6984, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9863, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9951,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8371, kb_relative_information_score: -2409.2193, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9871, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9952,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, kb_relative_information_score: -2479.4703, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9885, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9952,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8311, kb_relative_information_score: -2629.0796, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9913, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9952,
Jorge Gomez 6 years ago
ran flow sklearn.pipeline.Pipeline(stan ... est.RandomForestClassifier)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.9701, kappa: -0.0129, kb_relative_information_score: -8024.5078, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.967, predictive_accuracy: 0.9731, prior_entropy: 0.1231, recall: 0.9731, relative_absolute_error: 1.2929, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1679, root_relative_squared_error: 1.316,
Jeroen van Doorenmalen 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(20) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, kb_relative_information_score: -23654.5415, mean_absolute_error: 0.0472, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 1.4382, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1245, root_relative_squared_error: 0.9756,
Jeroen van Doorenmalen 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(20) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8864, kb_relative_information_score: -24428.9459, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 1.446, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.9743,
Jeroen van Doorenmalen 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(20) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8758, kb_relative_information_score: -25615.9551, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 1.4637, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.125, root_relative_squared_error: 0.9798,
Jeroen van Doorenmalen 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(20) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, kb_relative_information_score: -22537.315, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 1.4165, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.9727,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8061, f_measure: 0.9756, kappa: 0.1445, kb_relative_information_score: -4472.9681, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9728, predictive_accuracy: 0.9791, prior_entropy: 0.1231, recall: 0.9791, relative_absolute_error: 0.8745, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1371, root_relative_squared_error: 1.0744,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8064, f_measure: 0.9756, kappa: 0.1445, kb_relative_information_score: -4458.3601, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9728, predictive_accuracy: 0.9791, prior_entropy: 0.1231, recall: 0.9791, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.137, root_relative_squared_error: 1.0739,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8292, f_measure: 0.9761, kappa: 0.1505, kb_relative_information_score: -4582.0141, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9732, predictive_accuracy: 0.9799, prior_entropy: 0.1231, recall: 0.9799, relative_absolute_error: 0.8471, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1338, root_relative_squared_error: 1.049,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.9755, kappa: 0.0531, kb_relative_information_score: -5318.3349, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9713, predictive_accuracy: 0.9821, prior_entropy: 0.1231, recall: 0.9821, relative_absolute_error: 0.8654, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.13, root_relative_squared_error: 1.0191,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8037, f_measure: 0.9751, kappa: -0.0005, kb_relative_information_score: -6933.5559, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9672, predictive_accuracy: 0.9832, prior_entropy: 0.1231, recall: 0.9832, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1274, root_relative_squared_error: 0.9986,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, kb_relative_information_score: -7005.6166, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9324, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9956,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8063, f_measure: 0.9756, kappa: 0.1445, kb_relative_information_score: -4523.0142, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9728, predictive_accuracy: 0.9791, prior_entropy: 0.1231, recall: 0.9791, relative_absolute_error: 0.8736, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1365, root_relative_squared_error: 1.0697,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.9756, kappa: 0.1445, kb_relative_information_score: -4512.2992, mean_absolute_error: 0.0286, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9728, predictive_accuracy: 0.9791, prior_entropy: 0.1231, recall: 0.9791, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1365, root_relative_squared_error: 1.0696,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.9764, kappa: 0.1547, kb_relative_information_score: -4653.3848, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9736, predictive_accuracy: 0.9805, prior_entropy: 0.1231, recall: 0.9805, relative_absolute_error: 0.8458, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.133, root_relative_squared_error: 1.0427,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.9749, kappa: 0.0252, kb_relative_information_score: -5375.6097, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9695, predictive_accuracy: 0.9818, prior_entropy: 0.1231, recall: 0.9818, relative_absolute_error: 0.8665, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1296, root_relative_squared_error: 1.0158,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, kb_relative_information_score: -6945.9099, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9206, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1273, root_relative_squared_error: 0.9981,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.827, kb_relative_information_score: -7010.5014, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.933, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9953,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8081, f_measure: 0.9764, kappa: 0.1547, kb_relative_information_score: -4947.2625, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9736, predictive_accuracy: 0.9805, prior_entropy: 0.1231, recall: 0.9805, relative_absolute_error: 0.8676, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1317, root_relative_squared_error: 1.0321,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8083, f_measure: 0.9764, kappa: 0.1547, kb_relative_information_score: -4956.4734, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9736, predictive_accuracy: 0.9805, prior_entropy: 0.1231, recall: 0.9805, relative_absolute_error: 0.868, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1317, root_relative_squared_error: 1.0321,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8314, f_measure: 0.9776, kappa: 0.1548, kb_relative_information_score: -5203.1544, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9758, predictive_accuracy: 0.9829, prior_entropy: 0.1231, recall: 0.9829, relative_absolute_error: 0.8448, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1277, root_relative_squared_error: 1.0012,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.9755, kappa: 0.0288, kb_relative_information_score: -5805.62, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9716, predictive_accuracy: 0.9829, prior_entropy: 0.1231, recall: 0.9829, relative_absolute_error: 0.8787, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.9968,
Irene Panuju 6 years ago
ran flow sklearn.pipeline.Pipeline(Scal ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.9756, kappa: 0.0297, kb_relative_information_score: -6671.66, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9729, predictive_accuracy: 0.9832, prior_entropy: 0.1231, recall: 0.9832, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.9748,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8046, kb_relative_information_score: -7015.6168, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9292, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.9944,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8277, kb_relative_information_score: -7019.4023, mean_absolute_error: 0.0308, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9388, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.9928,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, kb_relative_information_score: -6177.8656, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.9734,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8107, kb_relative_information_score: -6177.9477, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1242, root_relative_squared_error: 0.9734,
Jeroen van Doorenmalen 6 years ago
ran flow sklearn.neighbors.classification.KNeighborsClassifier(20) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8648, f_measure: 0.9764, kappa: 0.061, kb_relative_information_score: -17949.0995, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9787, predictive_accuracy: 0.9837, prior_entropy: 0.1231, recall: 0.9837, relative_absolute_error: 1.319, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.9685,
Irene Panuju 6 years ago
ran flow sklearn.pipeline.Pipeline(Scal ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.9756, kappa: 0.0297, kb_relative_information_score: -6671.6388, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9729, predictive_accuracy: 0.9832, prior_entropy: 0.1231, recall: 0.9832, relative_absolute_error: 0.9237, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1244, root_relative_squared_error: 0.9748,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, kb_relative_information_score: -6173.3986, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.9731,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, kb_relative_information_score: -6199.5676, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9407, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1255, root_relative_squared_error: 0.9835,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8077, kb_relative_information_score: -6220.2345, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.9902,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8298, kb_relative_information_score: -6058.6593, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.9901,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, kb_relative_information_score: -2831.3954, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.9945,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8097, kb_relative_information_score: -2830.8919, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9866, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1269, root_relative_squared_error: 0.9945,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, kb_relative_information_score: -2357.9212, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9859, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.127, root_relative_squared_error: 0.9951,
Jeroen van Doorenmalen 6 years ago
ran flow sklearn.svm.classes.SVC(16) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 707.9219, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1286, root_relative_squared_error: 1.0084,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, kb_relative_information_score: -2070.058, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1271, root_relative_squared_error: 0.9963,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8098, kb_relative_information_score: -1772.3155, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.9974,
Irene Panuju 6 years ago
ran flow sklearn.pipeline.Pipeline(Scal ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.9761, kappa: 0.0802, kb_relative_information_score: -5578.5633, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, precision: 0.9729, predictive_accuracy: 0.9824, prior_entropy: 0.1231, recall: 0.9824, relative_absolute_error: 0.8764, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.9784,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, kb_relative_information_score: -1673.4479, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9888, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.9974,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, kb_relative_information_score: -161.2351, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.9994,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.807, kb_relative_information_score: -161.2312, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.9994,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.826, kb_relative_information_score: -113.0298, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.9995,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8198, kb_relative_information_score: -79.1685, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.9996,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7896, kb_relative_information_score: -51.37, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.9997,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8072, kb_relative_information_score: -42.4591, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1275, root_relative_squared_error: 0.9997,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, kb_relative_information_score: 11.2468, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.9999,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7412, kb_relative_information_score: 11.221, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1276, root_relative_squared_error: 0.9999,
Jeroen Ubbink 6 years ago
ran flow sklearn.pipeline.Pipeline(dime ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set Speech
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, kb_relative_information_score: 11.2077, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1276, root_relative_squared_error: 1,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

estimation_procedure 10-fold Crossvalidation
evaluation_measures area_under_roc_curve
source_data Speech (1)
target_feature Target

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs