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Eric Klingensmith
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Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set analcatdata_dmft
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5827, f_measure: 0.1905, kappa: 0.0514, kb_relative_information_score: 0.0784, mean_absolute_error: 0.2722, mean_prior_absolute_error: 0.2774, number_of_instances: 797, precision: 0.2181, predictive_accuracy: 0.2108, prior_entropy: 2.5803, recall: 0.2108, relative_absolute_error: 0.9812, root_mean_prior_squared_error: 0.3724, root_mean_squared_error: 0.3709, root_relative_squared_error: 0.996,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set analcatdata_authorship
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9845, kappa: 0.9775, kb_relative_information_score: 0.9763, mean_absolute_error: 0.008, mean_prior_absolute_error: 0.3439, number_of_instances: 841, precision: 0.9846, predictive_accuracy: 0.9845, prior_entropy: 1.7874, recall: 0.9845, relative_absolute_error: 0.0233, root_mean_prior_squared_error: 0.4146, root_mean_squared_error: 0.087, root_relative_squared_error: 0.21,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set isolet
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.8414, kappa: 0.8374, kb_relative_information_score: 0.8453, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8582, predictive_accuracy: 0.8437, prior_entropy: 4.7004, recall: 0.8437, relative_absolute_error: 0.1623, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.5644,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set vowel
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.6583, kappa: 0.6244, kb_relative_information_score: 0.67, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6627, predictive_accuracy: 0.6586, prior_entropy: 3.4594, recall: 0.6586, relative_absolute_error: 0.4962, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2035, root_relative_squared_error: 0.7079,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set satimage
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8037, kappa: 0.7502, kb_relative_information_score: 0.7692, mean_absolute_error: 0.0683, mean_prior_absolute_error: 0.2701, number_of_instances: 6430, precision: 0.8195, predictive_accuracy: 0.7958, prior_entropy: 2.4834, recall: 0.7958, relative_absolute_error: 0.2528, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.6953,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set electricity
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7055, kappa: 0.4088, kb_relative_information_score: 0.391, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7706, predictive_accuracy: 0.7306, prior_entropy: 0.9835, recall: 0.7306, relative_absolute_error: 0.6168, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4577, root_relative_squared_error: 0.926,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set vehicle
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7744, f_measure: 0.4274, kappa: 0.2821, kb_relative_information_score: 0.348, mean_absolute_error: 0.2807, mean_prior_absolute_error: 0.3748, number_of_instances: 846, precision: 0.521, predictive_accuracy: 0.4574, prior_entropy: 1.9991, recall: 0.4574, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4329, root_mean_squared_error: 0.4599, root_relative_squared_error: 1.0622,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set tic-tac-toe
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.6538, kappa: 0.2393, kb_relative_information_score: 0.1054, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.453, number_of_instances: 958, precision: 0.7657, predictive_accuracy: 0.7171, prior_entropy: 0.931, recall: 0.7171, relative_absolute_error: 0.9031, root_mean_prior_squared_error: 0.4759, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9379,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set splice
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9198, kappa: 0.8705, kb_relative_information_score: 0.8804, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.4101, number_of_instances: 3190, precision: 0.9267, predictive_accuracy: 0.9185, prior_entropy: 1.4802, recall: 0.9185, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.4528, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.475,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set spambase
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8205, kappa: 0.6439, kb_relative_information_score: 0.6104, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4776, number_of_instances: 4601, precision: 0.8584, predictive_accuracy: 0.8187, prior_entropy: 0.9674, recall: 0.8187, relative_absolute_error: 0.3822, root_mean_prior_squared_error: 0.4886, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8696,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set diabetes
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8127, f_measure: 0.7559, kappa: 0.4572, kb_relative_information_score: 0.3634, mean_absolute_error: 0.2876, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7547, predictive_accuracy: 0.7591, prior_entropy: 0.9331, recall: 0.7591, relative_absolute_error: 0.6328, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4222, root_relative_squared_error: 0.8859,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set pendigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.8537, kappa: 0.841, kb_relative_information_score: 0.8532, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.18, number_of_instances: 10992, precision: 0.8629, predictive_accuracy: 0.8569, prior_entropy: 3.3208, recall: 0.8569, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.5357,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set credit-g
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7634, f_measure: 0.7347, kappa: 0.3858, kb_relative_information_score: 0.2146, mean_absolute_error: 0.3168, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.7444, predictive_accuracy: 0.729, prior_entropy: 0.8813, recall: 0.729, relative_absolute_error: 0.754, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9714,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set optdigits
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.7071, kappa: 0.6851, kb_relative_information_score: 0.712, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.18, number_of_instances: 5620, precision: 0.8181, predictive_accuracy: 0.7165, prior_entropy: 3.3218, recall: 0.7165, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.773,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set cmc
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6659, f_measure: 0.4694, kappa: 0.2172, kb_relative_information_score: 0.2227, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4308, number_of_instances: 1473, precision: 0.5103, predictive_accuracy: 0.4684, prior_entropy: 1.539, recall: 0.4684, relative_absolute_error: 0.8653, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4816, root_relative_squared_error: 1.0376,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set mfeat-zernike
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.7328, kappa: 0.7044, kb_relative_information_score: 0.7579, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7326, predictive_accuracy: 0.734, prior_entropy: 3.3219, recall: 0.734, relative_absolute_error: 0.2966, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2027, root_relative_squared_error: 0.6758,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set mfeat-morphological
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, kappa: 0.5583, kb_relative_information_score: 0.6163, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.18, number_of_instances: 2000, predictive_accuracy: 0.6025, prior_entropy: 3.3219, recall: 0.6025, relative_absolute_error: 0.4503, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2549, root_relative_squared_error: 0.8498,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set mfeat-karhunen
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9353, kappa: 0.9278, kb_relative_information_score: 0.9355, mean_absolute_error: 0.0136, 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: 0.0757, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.3519,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set mfeat-fourier
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.7598, kappa: 0.7322, kb_relative_information_score: 0.7731, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.18, number_of_instances: 2000, precision: 0.7664, predictive_accuracy: 0.759, prior_entropy: 3.3219, recall: 0.759, relative_absolute_error: 0.2681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1992, root_relative_squared_error: 0.6641,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set mfeat-factors
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9241, kappa: 0.9156, kb_relative_information_score: 0.9214, mean_absolute_error: 0.0153, 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: 0.0848, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1218, root_relative_squared_error: 0.406,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set balance-scale
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, kappa: 0.8279, kb_relative_information_score: 0.4844, mean_absolute_error: 0.2074, mean_prior_absolute_error: 0.3798, number_of_instances: 625, predictive_accuracy: 0.9072, prior_entropy: 1.3181, recall: 0.9072, relative_absolute_error: 0.546, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.2746, root_relative_squared_error: 0.6303,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set letter
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.6392, kappa: 0.6277, kb_relative_information_score: 0.6887, mean_absolute_error: 0.0318, mean_prior_absolute_error: 0.074, number_of_instances: 20000, precision: 0.6557, predictive_accuracy: 0.6421, prior_entropy: 4.6998, recall: 0.6421, relative_absolute_error: 0.43, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.7248,
Eric Klingensmith 5 years ago
ran flow sklearn.pipeline.Pipeline(stan ... arn.naive_bayes.GaussianNB)(2) on task Supervised Classification on data set kr-vs-kp
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8889, f_measure: 0.5234, kappa: 0.1821, kb_relative_information_score: 0.2075, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.499, number_of_instances: 3196, precision: 0.767, predictive_accuracy: 0.6061, prior_entropy: 0.9986, recall: 0.6061, relative_absolute_error: 0.7921, root_mean_prior_squared_error: 0.4995, root_mean_squared_error: 0.6253, root_relative_squared_error: 1.2518,