OpenML
Supervised Classification on vowel

Supervised Classification on vowel

Task 3022 Supervised Classification vowel 18971 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_50 study_7 study_98 study_99 under100k under1m
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18971 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9304, f_measure: 0.6541, kappa: 0.6189, kb_relative_information_score: 645.3744, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6563, predictive_accuracy: 0.6535, prior_entropy: 3.4594, recall: 0.6535, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.7358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.78, kappa: 0.7578, kb_relative_information_score: 767.1615, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7813, predictive_accuracy: 0.7798, prior_entropy: 3.4594, recall: 0.7798, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8424, kappa: 0.8267, kb_relative_information_score: 827.7994, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8429, predictive_accuracy: 0.8424, prior_entropy: 3.4594, recall: 0.8424, relative_absolute_error: 0.1733, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.5888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.5603, kappa: 0.5144, kb_relative_information_score: 546.3855, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.574, predictive_accuracy: 0.5586, prior_entropy: 3.4594, recall: 0.5586, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.2865, kappa: 0.3056, kb_relative_information_score: 371.7157, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3232, predictive_accuracy: 0.3687, prior_entropy: 3.4594, recall: 0.3687, relative_absolute_error: 0.8011, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.9023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.5126, kappa: 0.4767, kb_relative_information_score: 475.5849, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.528, predictive_accuracy: 0.5242, prior_entropy: 3.4594, recall: 0.5242, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.6838, kappa: 0.6533, kb_relative_information_score: 666.3509, mean_absolute_error: 0.0693, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6873, predictive_accuracy: 0.6848, prior_entropy: 3.4594, recall: 0.6848, relative_absolute_error: 0.419, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2079, root_relative_squared_error: 0.7234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.551, kappa: 0.5067, kb_relative_information_score: 540.978, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5515, prior_entropy: 3.4594, recall: 0.5515, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.689, kappa: 0.6589, kb_relative_information_score: 687.8203, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6903, predictive_accuracy: 0.6899, prior_entropy: 3.4594, recall: 0.6899, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9252, f_measure: 0.6422, kappa: 0.6078, kb_relative_information_score: 626.1989, mean_absolute_error: 0.0782, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.645, predictive_accuracy: 0.6434, prior_entropy: 3.4594, recall: 0.6434, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.7523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6224, kappa: 0.5856, kb_relative_information_score: 613.5146, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6256, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8512, f_measure: 0.4013, kappa: 0.4033, kb_relative_information_score: 418.8348, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4256, predictive_accuracy: 0.4576, prior_entropy: 3.4594, recall: 0.4576, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.8727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7764, f_measure: 0.1833, kappa: 0.21, kb_relative_information_score: 302.9552, mean_absolute_error: 0.1427, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1437, predictive_accuracy: 0.2818, prior_entropy: 3.4594, recall: 0.2818, relative_absolute_error: 0.8633, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2679, root_relative_squared_error: 0.932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9316, f_measure: 0.6654, kappa: 0.6333, kb_relative_information_score: 654.6681, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6677, predictive_accuracy: 0.6667, prior_entropy: 3.4594, recall: 0.6667, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.212, root_relative_squared_error: 0.7375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.551, kappa: 0.5067, kb_relative_information_score: 540.978, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5515, prior_entropy: 3.4594, recall: 0.5515, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.7441, kappa: 0.7178, kb_relative_information_score: 744.4257, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7466, predictive_accuracy: 0.7434, prior_entropy: 3.4594, recall: 0.7434, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.3953, kappa: 0.4011, kb_relative_information_score: 417.8893, mean_absolute_error: 0.1232, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3794, predictive_accuracy: 0.4556, prior_entropy: 3.4594, recall: 0.4556, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.8735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.6161, kappa: 0.5789, kb_relative_information_score: 601.6771, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6191, predictive_accuracy: 0.6172, prior_entropy: 3.4594, recall: 0.6172, relative_absolute_error: 0.513, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.221, root_relative_squared_error: 0.7687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6224, kappa: 0.5856, kb_relative_information_score: 613.5146, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6256, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.5335, kappa: 0.4933, kb_relative_information_score: 496.7613, mean_absolute_error: 0.1066, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5436, predictive_accuracy: 0.5394, prior_entropy: 3.4594, recall: 0.5394, relative_absolute_error: 0.6451, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.8338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.6603, kappa: 0.6278, kb_relative_information_score: 647.2471, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6619, predictive_accuracy: 0.6616, prior_entropy: 3.4594, recall: 0.6616, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.7349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.1878, kappa: 0.2444, kb_relative_information_score: 334.7372, mean_absolute_error: 0.1396, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.182, predictive_accuracy: 0.3131, prior_entropy: 3.4594, recall: 0.3131, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2658, root_relative_squared_error: 0.9246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.4566, kappa: 0.4322, kb_relative_information_score: 438.7809, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4776, predictive_accuracy: 0.4838, prior_entropy: 3.4594, recall: 0.4838, relative_absolute_error: 0.7186, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.8651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.5603, kappa: 0.5144, kb_relative_information_score: 546.3855, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.574, predictive_accuracy: 0.5586, prior_entropy: 3.4594, recall: 0.5586, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.4346, kappa: 0.4144, kb_relative_information_score: 426.6311, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4552, predictive_accuracy: 0.4677, prior_entropy: 3.4594, recall: 0.4677, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.5603, kappa: 0.5144, kb_relative_information_score: 546.3855, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.574, predictive_accuracy: 0.5586, prior_entropy: 3.4594, recall: 0.5586, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9195, f_measure: 0.8237, kappa: 0.8067, kb_relative_information_score: 817.0122, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.824, predictive_accuracy: 0.8242, prior_entropy: 3.4594, recall: 0.8242, relative_absolute_error: 0.1919, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.5989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.78, kappa: 0.7578, kb_relative_information_score: 767.1615, mean_absolute_error: 0.0466, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7813, predictive_accuracy: 0.7798, prior_entropy: 3.4594, recall: 0.7798, relative_absolute_error: 0.2819, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.184, root_relative_squared_error: 0.6399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7929, f_measure: 0.1867, kappa: 0.2356, kb_relative_information_score: 326.6948, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1457, predictive_accuracy: 0.3051, prior_entropy: 3.4594, recall: 0.3051, relative_absolute_error: 0.8499, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.9263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9093, f_measure: 0.5495, kappa: 0.5056, kb_relative_information_score: 533.5722, mean_absolute_error: 0.1001, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.566, predictive_accuracy: 0.5505, prior_entropy: 3.4594, recall: 0.5505, relative_absolute_error: 0.6054, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2334, root_relative_squared_error: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9016, f_measure: 0.5444, kappa: 0.51, kb_relative_information_score: 514.3019, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.552, predictive_accuracy: 0.5545, prior_entropy: 3.4594, recall: 0.5545, relative_absolute_error: 0.6293, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.8239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.5379, kappa: 0.4933, kb_relative_information_score: 518.5398, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5509, predictive_accuracy: 0.5394, prior_entropy: 3.4594, recall: 0.5394, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2368, root_relative_squared_error: 0.8237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.1778, kappa: 0.2422, kb_relative_information_score: 332.58, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1327, predictive_accuracy: 0.3111, prior_entropy: 3.4594, recall: 0.3111, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.7252, kappa: 0.6978, kb_relative_information_score: 700.7009, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7281, predictive_accuracy: 0.7253, prior_entropy: 3.4594, recall: 0.7253, relative_absolute_error: 0.3684, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.6946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.1893, kappa: 0.2233, kb_relative_information_score: 315.1212, mean_absolute_error: 0.1415, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1462, predictive_accuracy: 0.2939, prior_entropy: 3.4594, recall: 0.2939, relative_absolute_error: 0.8561, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.551, kappa: 0.5067, kb_relative_information_score: 540.978, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5515, prior_entropy: 3.4594, recall: 0.5515, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.4346, kappa: 0.4144, kb_relative_information_score: 426.6311, mean_absolute_error: 0.1207, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4552, predictive_accuracy: 0.4677, prior_entropy: 3.4594, recall: 0.4677, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.5129, kappa: 0.4744, kb_relative_information_score: 476.7194, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5276, predictive_accuracy: 0.5222, prior_entropy: 3.4594, recall: 0.5222, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.883, f_measure: 0.5072, kappa: 0.4689, kb_relative_information_score: 469.8237, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5218, predictive_accuracy: 0.5172, prior_entropy: 3.4594, recall: 0.5172, relative_absolute_error: 0.6808, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.8475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.5603, kappa: 0.5144, kb_relative_information_score: 546.3855, mean_absolute_error: 0.0961, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.574, predictive_accuracy: 0.5586, prior_entropy: 3.4594, recall: 0.5586, relative_absolute_error: 0.5815, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8635, f_measure: 0.4532, kappa: 0.43, kb_relative_information_score: 437.3528, mean_absolute_error: 0.1191, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4746, predictive_accuracy: 0.4818, prior_entropy: 3.4594, recall: 0.4818, relative_absolute_error: 0.7205, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2488, root_relative_squared_error: 0.8656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9158, f_measure: 0.5925, kappa: 0.5533, kb_relative_information_score: 560.949, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.598, predictive_accuracy: 0.5939, prior_entropy: 3.4594, recall: 0.5939, relative_absolute_error: 0.5545, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.7924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.5621, kappa: 0.5167, kb_relative_information_score: 545.8413, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.576, predictive_accuracy: 0.5606, prior_entropy: 3.4594, recall: 0.5606, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.8093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9352, f_measure: 0.6844, kappa: 0.6544, kb_relative_information_score: 682.8416, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6854, predictive_accuracy: 0.6859, prior_entropy: 3.4594, recall: 0.6859, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.206, root_relative_squared_error: 0.7166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.7441, kappa: 0.7178, kb_relative_information_score: 746.1736, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7466, predictive_accuracy: 0.7434, prior_entropy: 3.4594, recall: 0.7434, relative_absolute_error: 0.312, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1905, root_relative_squared_error: 0.6626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8853, f_measure: 0.5171, kappa: 0.4833, kb_relative_information_score: 479.9246, mean_absolute_error: 0.1127, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5323, predictive_accuracy: 0.5303, prior_entropy: 3.4594, recall: 0.5303, relative_absolute_error: 0.6818, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2418, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.7648, kappa: 0.7411, kb_relative_information_score: 742.0808, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7664, predictive_accuracy: 0.7646, prior_entropy: 3.4594, recall: 0.7646, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1907, root_relative_squared_error: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.146, kappa: 0.18, kb_relative_information_score: 278.5143, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1138, predictive_accuracy: 0.2545, prior_entropy: 3.4594, recall: 0.2545, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9159, f_measure: 0.5905, kappa: 0.5511, kb_relative_information_score: 559.7676, mean_absolute_error: 0.0919, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5958, predictive_accuracy: 0.5919, prior_entropy: 3.4594, recall: 0.5919, relative_absolute_error: 0.5557, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.7928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9298, f_measure: 0.6695, kappa: 0.6367, kb_relative_information_score: 657.0105, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6715, predictive_accuracy: 0.6697, prior_entropy: 3.4594, recall: 0.6697, relative_absolute_error: 0.4275, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.209, root_relative_squared_error: 0.7269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9126, f_measure: 0.5592, kappa: 0.5133, kb_relative_information_score: 546.8651, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5719, predictive_accuracy: 0.5576, prior_entropy: 3.4594, recall: 0.5576, relative_absolute_error: 0.5794, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.8091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6224, kappa: 0.5856, kb_relative_information_score: 613.5146, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6256, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.561, kappa: 0.5156, kb_relative_information_score: 549.1831, mean_absolute_error: 0.0955, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5747, predictive_accuracy: 0.5596, prior_entropy: 3.4594, recall: 0.5596, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.7253, kappa: 0.6978, kb_relative_information_score: 701.2667, mean_absolute_error: 0.0607, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7281, predictive_accuracy: 0.7253, prior_entropy: 3.4594, recall: 0.7253, relative_absolute_error: 0.3675, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1996, root_relative_squared_error: 0.6943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8836, f_measure: 0.5126, kappa: 0.4767, kb_relative_information_score: 475.5849, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.528, predictive_accuracy: 0.5242, prior_entropy: 3.4594, recall: 0.5242, relative_absolute_error: 0.685, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.5622, kappa: 0.5233, kb_relative_information_score: 521.9346, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5705, predictive_accuracy: 0.5667, prior_entropy: 3.4594, recall: 0.5667, relative_absolute_error: 0.6073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2342, root_relative_squared_error: 0.8146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8418, f_measure: 0.3371, kappa: 0.3367, kb_relative_information_score: 385.9243, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3438, predictive_accuracy: 0.397, prior_entropy: 3.4594, recall: 0.397, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.78, kappa: 0.7578, kb_relative_information_score: 767.6367, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7813, predictive_accuracy: 0.7798, prior_entropy: 3.4594, recall: 0.7798, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8867, f_measure: 0.5183, kappa: 0.48, kb_relative_information_score: 482.5363, mean_absolute_error: 0.112, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5329, predictive_accuracy: 0.5273, prior_entropy: 3.4594, recall: 0.5273, relative_absolute_error: 0.6775, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2414, root_relative_squared_error: 0.8399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6224, kappa: 0.5856, kb_relative_information_score: 613.5146, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6256, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.7085, kappa: 0.6789, kb_relative_information_score: 690.5168, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7123, predictive_accuracy: 0.7081, prior_entropy: 3.4594, recall: 0.7081, relative_absolute_error: 0.3875, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2024, root_relative_squared_error: 0.7042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.1778, kappa: 0.2422, kb_relative_information_score: 332.58, mean_absolute_error: 0.1399, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1327, predictive_accuracy: 0.3111, prior_entropy: 3.4594, recall: 0.3111, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.5129, kappa: 0.4744, kb_relative_information_score: 476.7194, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5276, predictive_accuracy: 0.5222, prior_entropy: 3.4594, recall: 0.5222, relative_absolute_error: 0.6828, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.8441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.551, kappa: 0.5067, kb_relative_information_score: 540.978, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5515, prior_entropy: 3.4594, recall: 0.5515, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.78, kappa: 0.7578, kb_relative_information_score: 767.6367, mean_absolute_error: 0.0465, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7813, predictive_accuracy: 0.7798, prior_entropy: 3.4594, recall: 0.7798, relative_absolute_error: 0.2815, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.6396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9296, f_measure: 0.677, kappa: 0.6467, kb_relative_information_score: 661.9773, mean_absolute_error: 0.0702, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6801, predictive_accuracy: 0.6788, prior_entropy: 3.4594, recall: 0.6788, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.7278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8465, f_measure: 0.3728, kappa: 0.3744, kb_relative_information_score: 404.8022, mean_absolute_error: 0.1255, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.364, predictive_accuracy: 0.4313, prior_entropy: 3.4594, recall: 0.4313, relative_absolute_error: 0.759, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.8826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8812, f_measure: 0.4952, kappa: 0.4522, kb_relative_information_score: 464.0926, mean_absolute_error: 0.1169, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4952, predictive_accuracy: 0.502, prior_entropy: 3.4594, recall: 0.502, relative_absolute_error: 0.7073, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.8533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9034, f_measure: 0.5315, kappa: 0.4867, kb_relative_information_score: 511.2112, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5429, predictive_accuracy: 0.5333, prior_entropy: 3.4594, recall: 0.5333, relative_absolute_error: 0.6308, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.8263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8019, kappa: 0.7822, kb_relative_information_score: 799.0293, mean_absolute_error: 0.038, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.8026, predictive_accuracy: 0.802, prior_entropy: 3.4594, recall: 0.802, relative_absolute_error: 0.2302, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.6142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.551, kappa: 0.5067, kb_relative_information_score: 540.978, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5515, prior_entropy: 3.4594, recall: 0.5515, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8073, f_measure: 0.2201, kappa: 0.26, kb_relative_information_score: 343.2374, mean_absolute_error: 0.1378, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.2875, predictive_accuracy: 0.3273, prior_entropy: 3.4594, recall: 0.3273, relative_absolute_error: 0.8336, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.9189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8455, f_measure: 0.3602, kappa: 0.3622, kb_relative_information_score: 400.5607, mean_absolute_error: 0.1264, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.3555, predictive_accuracy: 0.4202, prior_entropy: 3.4594, recall: 0.4202, relative_absolute_error: 0.7646, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2547, root_relative_squared_error: 0.8858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.5754, kappa: 0.5367, kb_relative_information_score: 532.4217, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5811, predictive_accuracy: 0.5788, prior_entropy: 3.4594, recall: 0.5788, relative_absolute_error: 0.5942, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.551, kappa: 0.5067, kb_relative_information_score: 540.978, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5515, prior_entropy: 3.4594, recall: 0.5515, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.582, kappa: 0.5422, kb_relative_information_score: 544.2876, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5878, predictive_accuracy: 0.5838, prior_entropy: 3.4594, recall: 0.5838, relative_absolute_error: 0.5773, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2303, root_relative_squared_error: 0.8012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.146, kappa: 0.18, kb_relative_information_score: 278.5143, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.1138, predictive_accuracy: 0.2545, prior_entropy: 3.4594, recall: 0.2545, relative_absolute_error: 0.8773, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2699, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.689, kappa: 0.6589, kb_relative_information_score: 687.8203, mean_absolute_error: 0.0657, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6903, predictive_accuracy: 0.6899, prior_entropy: 3.4594, recall: 0.6899, relative_absolute_error: 0.3976, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2048, root_relative_squared_error: 0.7123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6224, kappa: 0.5856, kb_relative_information_score: 613.5146, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6256, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9194, f_measure: 0.8237, kappa: 0.8067, kb_relative_information_score: 815.8281, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.824, predictive_accuracy: 0.8242, prior_entropy: 3.4594, recall: 0.8242, relative_absolute_error: 0.1927, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.6006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.551, kappa: 0.5067, kb_relative_information_score: 540.978, mean_absolute_error: 0.098, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5674, predictive_accuracy: 0.5515, prior_entropy: 3.4594, recall: 0.5515, relative_absolute_error: 0.5931, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6224, kappa: 0.5856, kb_relative_information_score: 613.5146, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6256, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.885, f_measure: 0.5137, kappa: 0.4733, kb_relative_information_score: 478.1966, mean_absolute_error: 0.1125, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.5286, predictive_accuracy: 0.5212, prior_entropy: 3.4594, recall: 0.5212, relative_absolute_error: 0.6807, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2423, root_relative_squared_error: 0.8429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.6224, kappa: 0.5856, kb_relative_information_score: 613.5146, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6256, predictive_accuracy: 0.6232, prior_entropy: 3.4594, recall: 0.6232, relative_absolute_error: 0.4971, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.7606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.788, kappa: 0.7667, kb_relative_information_score: 780.7101, mean_absolute_error: 0.0424, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.7893, predictive_accuracy: 0.7879, prior_entropy: 3.4594, recall: 0.7879, relative_absolute_error: 0.2565, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9293, f_measure: 0.651, kappa: 0.6156, kb_relative_information_score: 639.8189, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.6544, predictive_accuracy: 0.6505, prior_entropy: 3.4594, recall: 0.6505, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2129, root_relative_squared_error: 0.7405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8555, f_measure: 0.4255, kappa: 0.4133, kb_relative_information_score: 424.7638, mean_absolute_error: 0.1215, mean_prior_absolute_error: 0.1653, number_of_instances: 990, precision: 0.4355, predictive_accuracy: 0.4667, prior_entropy: 3.4594, recall: 0.4667, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.2875, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.8714,

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

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

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From your own software

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

OpenML APIs