OpenML

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... t_centroid.NearestCentroid)(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7514, f_measure: 0.7498, kappa: 0.4444, kb_relative_information_score: 0.3225, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7393, number_of_instances: 27020, precision: 0.7854, predictive_accuracy: 0.7393, prior_entropy: 0.8732, relative_absolute_error: 0.6285, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5105, root_relative_squared_error: 1.1212, unweighted_recall: 0.7514,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... r_perceptron.MLPClassifier)(2) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9152, f_measure: 0.8469, kappa: 0.6296, kb_relative_information_score: 0.4737, mean_absolute_error: 0.2171, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8475, number_of_instances: 27020, precision: 0.8465, predictive_accuracy: 0.8475, prior_entropy: 0.8732, relative_absolute_error: 0.5235, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.7164, unweighted_recall: 0.8126,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... ation.KNeighborsClassifier)(2) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.857, kappa: 0.6517, kb_relative_information_score: 0.5609, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8587, number_of_instances: 27020, precision: 0.8563, predictive_accuracy: 0.8587, prior_entropy: 0.8732, relative_absolute_error: 0.4251, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.317, root_relative_squared_error: 0.6961, unweighted_recall: 0.8188,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... tic_gradient.SGDClassifier)(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.748, kappa: 0.381, kb_relative_information_score: 0.3603, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7539, number_of_instances: 27020, precision: 0.745, predictive_accuracy: 0.7539, prior_entropy: 0.8732, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0895, unweighted_recall: 0.6826,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... l._ridge.RidgeClassifierCV)(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6637, f_measure: 0.7388, kappa: 0.3518, kb_relative_information_score: 0.3496, mean_absolute_error: 0.2502, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7498, number_of_instances: 27020, precision: 0.7361, predictive_accuracy: 0.7498, prior_entropy: 0.8732, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5002, root_relative_squared_error: 1.0985, unweighted_recall: 0.6637,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... del._ridge.RidgeClassifier)(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.7391, kappa: 0.3526, kb_relative_information_score: 0.3501, mean_absolute_error: 0.25, mean_prior_absolute_error: 0.4147, weighted_recall: 0.75, number_of_instances: 27020, precision: 0.7363, predictive_accuracy: 0.75, prior_entropy: 0.8732, relative_absolute_error: 0.6029, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0981, unweighted_recall: 0.6642,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... del._perceptron.Perceptron)(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.599, f_measure: 0.6582, kappa: 0.1913, kb_relative_information_score: 0.0976, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4147, weighted_recall: 0.6528, number_of_instances: 27020, precision: 0.6652, predictive_accuracy: 0.6528, prior_entropy: 0.8732, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5892, root_relative_squared_error: 1.294, unweighted_recall: 0.599,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... assiveAggressiveClassifier)(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6198, f_measure: 0.7041, kappa: 0.2619, kb_relative_information_score: 0.2721, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7199, number_of_instances: 27020, precision: 0.6997, predictive_accuracy: 0.7199, prior_entropy: 0.8732, relative_absolute_error: 0.6753, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5292, root_relative_squared_error: 1.1622, unweighted_recall: 0.6198,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... istic.LogisticRegressionCV)(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7396, kappa: 0.3547, kb_relative_information_score: 0.2376, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7496, number_of_instances: 27020, precision: 0.7366, predictive_accuracy: 0.7496, prior_entropy: 0.8732, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, unweighted_recall: 0.6659,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... ogistic.LogisticRegression)(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8122, f_measure: 0.7395, kappa: 0.3545, kb_relative_information_score: 0.2375, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.4147, weighted_recall: 0.7496, number_of_instances: 27020, precision: 0.7365, predictive_accuracy: 0.7496, prior_entropy: 0.8732, relative_absolute_error: 0.7526, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8729, unweighted_recall: 0.6658,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... orest.ExtraTreesClassifier)(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8937, kappa: 0.7421, kb_relative_information_score: 0.5982, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8944, number_of_instances: 27020, precision: 0.8934, predictive_accuracy: 0.8944, prior_entropy: 0.8732, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.2767, root_relative_squared_error: 0.6076, unweighted_recall: 0.8663,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... _bagging.BaggingClassifier)(1) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9305, f_measure: 0.8757, kappa: 0.697, kb_relative_information_score: 0.5817, mean_absolute_error: 0.173, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8771, number_of_instances: 27020, precision: 0.8752, predictive_accuracy: 0.8771, prior_entropy: 0.8732, relative_absolute_error: 0.4172, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.6595, unweighted_recall: 0.8408,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... oosting.AdaBoostClassifier)(2) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8848, f_measure: 0.812, kappa: 0.5421, kb_relative_information_score: -0.2675, mean_absolute_error: 0.4742, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8141, number_of_instances: 27020, precision: 0.8107, predictive_accuracy: 0.8141, prior_entropy: 0.8732, relative_absolute_error: 1.1435, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0463, unweighted_recall: 0.7653,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(25) on task Supervised Classification on data set phoneme

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8192, f_measure: 0.8495, kappa: 0.6373, kb_relative_information_score: 0.6085, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4147, weighted_recall: 0.8494, number_of_instances: 27020, precision: 0.8496, predictive_accuracy: 0.8494, prior_entropy: 0.8732, relative_absolute_error: 0.3632, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.8523, unweighted_recall: 0.8192,

Takeaki Sakabe 12 months ago
ran flow sklearn.pipeline.Pipeline(impu ... r_perceptron.MLPClassifier)(2) on task Supervised Classification on data set mnist_784

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8112, kappa: 0.7919, kb_relative_information_score: 0.7866, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.1799, weighted_recall: 0.8128, number_of_instances: 350000, precision: 0.8108, predictive_accuracy: 0.8128, prior_entropy: 3.3198, relative_absolute_error: 0.3099, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5594, unweighted_recall: 0.81,

Juan Vicente Ventrone I. 12 months ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(29) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8796, kappa: 0.7327, kb_relative_information_score: 0.5976, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.456, weighted_recall: 0.8815, number_of_instances: 19020, precision: 0.8812, predictive_accuracy: 0.8815, prior_entropy: 0.9355, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6261, unweighted_recall: 0.8562,

Jaime Ferreira 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(28) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8807, kappa: 0.735, kb_relative_information_score: 0.5986, mean_absolute_error: 0.1938, mean_prior_absolute_error: 0.456, weighted_recall: 0.8827, number_of_instances: 19020, precision: 0.8826, predictive_accuracy: 0.8827, prior_entropy: 0.9355, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6255, unweighted_recall: 0.8568,

LUCAS TRAN 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(29) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8791, kappa: 0.7316, kb_relative_information_score: 0.5968, mean_absolute_error: 0.1946, mean_prior_absolute_error: 0.456, weighted_recall: 0.881, number_of_instances: 19020, precision: 0.8806, predictive_accuracy: 0.881, prior_entropy: 0.9355, relative_absolute_error: 0.4267, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6269, unweighted_recall: 0.8558,

Juan Alvarez 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(28) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8793, kappa: 0.7322, kb_relative_information_score: 0.597, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.456, weighted_recall: 0.8812, number_of_instances: 19020, precision: 0.8809, predictive_accuracy: 0.8812, prior_entropy: 0.9355, relative_absolute_error: 0.426, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2996, root_relative_squared_error: 0.6275, unweighted_recall: 0.856,

ALEJANDRO REYNOSO 1 year ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(19) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7305, kappa: 0.3933, kb_relative_information_score: 0.2715, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7438, number_of_instances: 7680, precision: 0.7363, predictive_accuracy: 0.7438, prior_entropy: 0.9331, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8836, unweighted_recall: 0.6828,

ALEJANDRO REYNOSO 1 year ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(19) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7801, f_measure: 0.7305, kappa: 0.3933, kb_relative_information_score: 0.2715, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4545, weighted_recall: 0.7438, number_of_instances: 7680, precision: 0.7363, predictive_accuracy: 0.7438, prior_entropy: 0.9331, relative_absolute_error: 0.7298, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4211, root_relative_squared_error: 0.8836, unweighted_recall: 0.6828,

ALEJANDRO REYNOSO 1 year ago
ran flow sklearn.neighbors._classification.KNeighborsClassifier(19) on task Supervised Classification on data set diabetes

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7378, f_measure: 0.7123, kappa: 0.3578, kb_relative_information_score: 0.249, mean_absolute_error: 0.3359, mean_prior_absolute_error: 0.4545, weighted_recall: 0.718, number_of_instances: 7680, precision: 0.7104, predictive_accuracy: 0.718, prior_entropy: 0.9331, relative_absolute_error: 0.739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4473, root_relative_squared_error: 0.9384, unweighted_recall: 0.6729,

seonyoung Kim 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(26) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9639, kappa: 0.9599, kb_relative_information_score: 0.9622, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, weighted_recall: 0.9639, number_of_instances: 10992, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 3.3208, relative_absolute_error: 0.0401, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.085, root_relative_squared_error: 0.2833, unweighted_recall: 0.9638,

Juheon Kwak 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... es.DecisionTreeClassifier)(26) on task Supervised Classification on data set pendigits

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.964, kappa: 0.96, kb_relative_information_score: 0.9623, mean_absolute_error: 0.0072, mean_prior_absolute_error: 0.18, weighted_recall: 0.964, number_of_instances: 10992, precision: 0.964, predictive_accuracy: 0.964, prior_entropy: 3.3208, relative_absolute_error: 0.04, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.283, unweighted_recall: 0.9639,

Juheon Kwak 1 year ago
ran flow sklearn.ensemble._forest.RandomForestClassifier(29) on task Supervised Classification on data set MagicTelescope

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8794, kappa: 0.7324, kb_relative_information_score: 0.5969, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, weighted_recall: 0.8814, number_of_instances: 19020, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9355, relative_absolute_error: 0.4264, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2995, root_relative_squared_error: 0.6273, unweighted_recall: 0.8559,

Takeaki Sakabe 1 year ago
ran flow sklearn.pipeline.Pipeline(impu ... lasses.ExtraTreeClassifier)(1) on task Supervised Classification on data set phoneme