Task
Supervised Classification on ecoli

Supervised Classification on ecoli

Task 38 Supervised Classification ecoli 684 runs submitted
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  • basic study_1 study_107 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8512, kappa: 0.7817, kb_relative_information_score: 214.1644, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8702, predictive_accuracy: 0.8393, prior_entropy: 2.2353, recall: 0.8393, relative_absolute_error: 0.4532, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1859, root_relative_squared_error: 0.6165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.8332, kappa: 0.7744, kb_relative_information_score: 185.6635, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8377, predictive_accuracy: 0.8363, prior_entropy: 2.2353, recall: 0.8363, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1978, root_relative_squared_error: 0.6558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.8416, kappa: 0.7855, kb_relative_information_score: 244.1469, mean_absolute_error: 0.0561, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8386, predictive_accuracy: 0.8452, prior_entropy: 2.2353, recall: 0.8452, relative_absolute_error: 0.3067, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1701, root_relative_squared_error: 0.5639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8129, kappa: 0.7554, kb_relative_information_score: 251.4661, mean_absolute_error: 0.0492, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8078, predictive_accuracy: 0.8244, prior_entropy: 2.2353, recall: 0.8244, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.173, root_relative_squared_error: 0.5737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8088, kappa: 0.7433, kb_relative_information_score: 226.8283, mean_absolute_error: 0.0618, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8038, predictive_accuracy: 0.8155, prior_entropy: 2.2353, recall: 0.8155, relative_absolute_error: 0.3383, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.198, root_relative_squared_error: 0.6563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8332, kappa: 0.7744, kb_relative_information_score: 249.4211, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8377, predictive_accuracy: 0.8363, prior_entropy: 2.2353, recall: 0.8363, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.6032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8565, kappa: 0.8105, kb_relative_information_score: 203.4795, mean_absolute_error: 0.0892, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8542, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8421, kappa: 0.7888, kb_relative_information_score: 254.2818, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8416, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2169, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1863, root_relative_squared_error: 0.6177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9318, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 203.5059, mean_absolute_error: 0.0957, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.5234, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8062, kappa: 0.7359, kb_relative_information_score: 238.0284, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8067, predictive_accuracy: 0.8095, prior_entropy: 2.2353, recall: 0.8095, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.6358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 259.899, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 259.899, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2372, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9562, f_measure: 0.8062, kappa: 0.7359, kb_relative_information_score: 238.099, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8067, predictive_accuracy: 0.8095, prior_entropy: 2.2353, recall: 0.8095, relative_absolute_error: 0.3077, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.6349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8587, kappa: 0.8116, kb_relative_information_score: 252.6186, mean_absolute_error: 0.0519, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8612, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.2841, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.8533, kappa: 0.8056, kb_relative_information_score: 43.6275, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8485, predictive_accuracy: 0.8601, prior_entropy: 2.2353, recall: 0.8601, relative_absolute_error: 1.0375, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2944, root_relative_squared_error: 0.9761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8427, kappa: 0.7898, kb_relative_information_score: 245.0615, mean_absolute_error: 0.0535, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.838, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1703, root_relative_squared_error: 0.5646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8066, kappa: 0.7545, kb_relative_information_score: 211.9123, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8148, predictive_accuracy: 0.8274, prior_entropy: 2.2353, recall: 0.8274, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.2541, kb_relative_information_score: 0.1892, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8565, kappa: 0.8105, kb_relative_information_score: 250.5579, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8542, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8565, kappa: 0.8105, kb_relative_information_score: 250.5579, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8542, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8565, kappa: 0.8105, kb_relative_information_score: 250.5579, mean_absolute_error: 0.0518, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8542, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.2833, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.5664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8121, kappa: 0.75, kb_relative_information_score: 232.5435, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8529, kappa: 0.8001, kb_relative_information_score: 259.8008, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8635, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2374, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1645, root_relative_squared_error: 0.5454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.943, f_measure: 0.8029, kappa: 0.7617, kb_relative_information_score: 42.9956, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8169, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 1.0383, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.9784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8477, kappa: 0.8009, kb_relative_information_score: 206.7121, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8495, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.4952, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.5909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 260.0853, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8585, kappa: 0.8082, kb_relative_information_score: 258.5139, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8679, predictive_accuracy: 0.8601, prior_entropy: 2.2353, recall: 0.8601, relative_absolute_error: 0.2451, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.8029, kappa: 0.7617, kb_relative_information_score: 42.1009, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8169, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 1.0386, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8121, kappa: 0.75, kb_relative_information_score: 232.5435, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8029, kappa: 0.7617, kb_relative_information_score: 42.1009, mean_absolute_error: 0.1898, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8169, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 1.0386, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2952, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8554, kappa: 0.8096, kb_relative_information_score: 244.6217, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8501, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.8179, kappa: 0.7604, kb_relative_information_score: 235.765, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8119, predictive_accuracy: 0.8274, prior_entropy: 2.2353, recall: 0.8274, relative_absolute_error: 0.3558, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1822, root_relative_squared_error: 0.6039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8606, kappa: 0.8147, kb_relative_information_score: 236.6383, mean_absolute_error: 0.0655, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8555, predictive_accuracy: 0.8661, prior_entropy: 2.2353, recall: 0.8661, relative_absolute_error: 0.3581, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1686, root_relative_squared_error: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.8415, kappa: 0.79, kb_relative_information_score: 237.1912, mean_absolute_error: 0.0676, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8363, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.3697, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1699, root_relative_squared_error: 0.5634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8423, kappa: 0.7913, kb_relative_information_score: 238.1123, mean_absolute_error: 0.0613, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8385, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.3354, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8672, f_measure: 0.7902, kappa: 0.7143, kb_relative_information_score: 230.6068, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7894, predictive_accuracy: 0.7917, prior_entropy: 2.2353, recall: 0.7917, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.7566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8642, f_measure: 0.7902, kappa: 0.7098, kb_relative_information_score: 228.534, mean_absolute_error: 0.0528, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7924, predictive_accuracy: 0.7887, prior_entropy: 2.2353, recall: 0.7887, relative_absolute_error: 0.289, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.7896, kappa: 0.7126, kb_relative_information_score: 228.0895, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7891, predictive_accuracy: 0.7917, prior_entropy: 2.2353, recall: 0.7917, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.7566,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.855, f_measure: 0.7494, kappa: 0.6912, kb_relative_information_score: 212.7302, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7357, predictive_accuracy: 0.7798, prior_entropy: 2.2353, recall: 0.7798, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2346, root_relative_squared_error: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, kb_relative_information_score: 58.5877, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.2564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.8392, kappa: 0.7854, kb_relative_information_score: 247.7329, mean_absolute_error: 0.0387, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8418, predictive_accuracy: 0.8452, prior_entropy: 2.2353, recall: 0.8452, relative_absolute_error: 0.2117, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1967, root_relative_squared_error: 0.6521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9063, f_measure: 0.8497, kappa: 0.8012, kb_relative_information_score: 255.5731, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8455, predictive_accuracy: 0.8571, prior_entropy: 2.2353, recall: 0.8571, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.189, root_relative_squared_error: 0.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.903, f_measure: 0.8441, kappa: 0.79, kb_relative_information_score: 252.684, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8411, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.6458, usercpu_time_millis: 337.895, usercpu_time_millis_testing: 4.485, usercpu_time_millis_training: 333.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.859, f_measure: 0.7842, kappa: 0.7161, kb_relative_information_score: 226.3506, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7848, predictive_accuracy: 0.8006, prior_entropy: 2.2353, recall: 0.8006, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.7403, usercpu_time_millis: 78.78, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 78.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.8085, kappa: 0.7431, kb_relative_information_score: 240.0502, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8034, predictive_accuracy: 0.8155, prior_entropy: 2.2353, recall: 0.8155, relative_absolute_error: 0.2524, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2148, root_relative_squared_error: 0.7121, usercpu_time_millis: 0.881, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.8446, kappa: 0.7939, kb_relative_information_score: 254.5496, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8392, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6395, usercpu_time_millis: 14.723, usercpu_time_millis_testing: 2.536, usercpu_time_millis_training: 12.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9209, f_measure: 0.872, kappa: 0.8278, kb_relative_information_score: 267.7807, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8726, predictive_accuracy: 0.875, prior_entropy: 2.2353, recall: 0.875, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5861, usercpu_time_millis: 0.148, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9111, f_measure: 0.8558, kappa: 0.8094, kb_relative_information_score: 257.9167, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8517, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.185, root_relative_squared_error: 0.6134, usercpu_time_millis: 0.315, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.916, f_measure: 0.865, kappa: 0.8224, kb_relative_information_score: 264.3005, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8602, predictive_accuracy: 0.872, prior_entropy: 2.2353, recall: 0.872, relative_absolute_error: 0.175, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1789, root_relative_squared_error: 0.593, usercpu_time_millis: 2.27, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 2.015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9247, f_measure: 0.8792, kappa: 0.8425, kb_relative_information_score: 269.4756, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8747, predictive_accuracy: 0.8869, prior_entropy: 2.2353, recall: 0.8869, relative_absolute_error: 0.1547, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.5575, usercpu_time_millis: 2.952, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 2.721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2541, kb_relative_information_score: 58.5877, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3789, root_relative_squared_error: 1.2564, usercpu_time_millis: 0.286, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, f_measure: 0.7902, kappa: 0.7268, kb_relative_information_score: 226.9905, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.784, predictive_accuracy: 0.8065, prior_entropy: 2.2353, recall: 0.8065, relative_absolute_error: 0.2646, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.7291, usercpu_time_millis: 0.136, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8851, f_measure: 0.8168, kappa: 0.755, kb_relative_information_score: 238.0283, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8134, predictive_accuracy: 0.8244, prior_entropy: 2.2353, recall: 0.8244, relative_absolute_error: 0.2402, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.6947, usercpu_time_millis: 1.227, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.779, f_measure: 0.6287, kappa: 0.5382, kb_relative_information_score: 164.5098, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6181, predictive_accuracy: 0.6786, prior_entropy: 2.2353, recall: 0.6786, relative_absolute_error: 0.4396, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.9398, usercpu_time_millis: 1.448, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 0.886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8762, f_measure: 0.7822, kappa: 0.7324, kb_relative_information_score: 223.5394, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7841, predictive_accuracy: 0.8095, prior_entropy: 2.2353, recall: 0.8095, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.7235, usercpu_time_millis: 10.888, usercpu_time_millis_testing: 0.846, usercpu_time_millis_training: 10.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8915, f_measure: 0.8258, kappa: 0.7619, kb_relative_information_score: 244.0954, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8363, predictive_accuracy: 0.8274, prior_entropy: 2.2353, recall: 0.8274, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.6887, usercpu_time_millis: 0.373, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 0.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.2865, kappa: 0.0064, kb_relative_information_score: 31.0743, mean_absolute_error: 0.1741, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.2732, predictive_accuracy: 0.3036, prior_entropy: 2.2353, recall: 0.3036, relative_absolute_error: 0.9525, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.4173, root_relative_squared_error: 1.3834, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8894, f_measure: 0.8179, kappa: 0.7602, kb_relative_information_score: 241.8966, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8168, predictive_accuracy: 0.8274, prior_entropy: 2.2353, recall: 0.8274, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.6887, usercpu_time_millis: 0.626, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.846, kappa: 0.7949, kb_relative_information_score: 255.6277, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8413, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6395, usercpu_time_millis: 0.613, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.6946, kappa: 0.6442, kb_relative_information_score: 193.1226, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7283, predictive_accuracy: 0.756, prior_entropy: 2.2353, recall: 0.756, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.247, root_relative_squared_error: 0.8189, usercpu_time_millis: 0.075, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.8689, kappa: 0.8264, kb_relative_information_score: 264.8752, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8644, predictive_accuracy: 0.875, prior_entropy: 2.2353, recall: 0.875, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1768, root_relative_squared_error: 0.5861, usercpu_time_millis: 1.036, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 0.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.8296, kappa: 0.7783, kb_relative_information_score: 243.6768, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8314, predictive_accuracy: 0.8423, prior_entropy: 2.2353, recall: 0.8423, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6584, usercpu_time_millis: 0.315, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8238, f_measure: 0.7359, kappa: 0.6628, kb_relative_information_score: 204.3816, mean_absolute_error: 0.0573, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7683, predictive_accuracy: 0.7708, prior_entropy: 2.2353, recall: 0.7708, relative_absolute_error: 0.3134, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2394, root_relative_squared_error: 0.7936, usercpu_time_millis: 22.066, usercpu_time_millis_testing: 1.263, usercpu_time_millis_training: 20.803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8734, f_measure: 0.7969, kappa: 0.7247, kb_relative_information_score: 230.3364, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7955, predictive_accuracy: 0.8006, prior_entropy: 2.2353, recall: 0.8006, relative_absolute_error: 0.2727, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2233, root_relative_squared_error: 0.7403, usercpu_time_millis: 1.891, usercpu_time_millis_testing: 0.477, usercpu_time_millis_training: 1.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9055, f_measure: 0.8457, kappa: 0.794, kb_relative_information_score: 255.0485, mean_absolute_error: 0.0372, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8422, predictive_accuracy: 0.8512, prior_entropy: 2.2353, recall: 0.8512, relative_absolute_error: 0.2035, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.6395, usercpu_time_millis: 0.102, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.8121, kappa: 0.75, kb_relative_information_score: 236.9852, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.2442, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.7005, usercpu_time_millis: 1.849, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 1.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7954, kappa: 0.7216, kb_relative_information_score: 234.8147, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7939, predictive_accuracy: 0.7976, prior_entropy: 2.2353, recall: 0.7976, relative_absolute_error: 0.2768, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.7458, usercpu_time_millis: 1.56, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8542, f_measure: 0.7563, kappa: 0.7011, kb_relative_information_score: 215.5209, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7588, predictive_accuracy: 0.7917, prior_entropy: 2.2353, recall: 0.7917, relative_absolute_error: 0.2849, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.7566, usercpu_time_millis: 1.216, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.8711, kappa: 0.8304, kb_relative_information_score: 266.2663, mean_absolute_error: 0.0305, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8689, predictive_accuracy: 0.878, prior_entropy: 2.2353, recall: 0.878, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1747, root_relative_squared_error: 0.5791, usercpu_time_millis: 0.998, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2865, kappa: 0.0008, kb_relative_information_score: 50.1172, mean_absolute_error: 0.1533, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.2351, predictive_accuracy: 0.3869, prior_entropy: 2.2353, recall: 0.3869, relative_absolute_error: 0.8385, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3915, root_relative_squared_error: 1.298, usercpu_time_millis: 0.242, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.7565, kappa: 0.6664, kb_relative_information_score: 210.3186, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7783, predictive_accuracy: 0.756, prior_entropy: 2.2353, recall: 0.756, relative_absolute_error: 0.3338, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.247, root_relative_squared_error: 0.8189, usercpu_time_millis: 0.343, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9012, f_measure: 0.8402, kappa: 0.7889, kb_relative_information_score: 252.6276, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8359, predictive_accuracy: 0.8482, prior_entropy: 2.2353, recall: 0.8482, relative_absolute_error: 0.2076, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1948, root_relative_squared_error: 0.6458, usercpu_time_millis: 3.373, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 3.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8771, f_measure: 0.8104, kappa: 0.7368, kb_relative_information_score: 239.3534, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.814, predictive_accuracy: 0.8095, prior_entropy: 2.2353, recall: 0.8095, relative_absolute_error: 0.2605, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.7235, usercpu_time_millis: 0.995, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.8409, kappa: 0.7869, kb_relative_information_score: 251.5506, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8368, predictive_accuracy: 0.8452, prior_entropy: 2.2353, recall: 0.8452, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.5822, scimark_benchmark: 478.5354, usercpu_time_millis: 1890, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 1870,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8603, f_measure: 0.7954, kappa: 0.7216, kb_relative_information_score: 231.0104, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7939, predictive_accuracy: 0.7976, prior_entropy: 2.2353, recall: 0.7976, relative_absolute_error: 0.3005, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.7366, scimark_benchmark: 473.1656, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8933, f_measure: 0.8121, kappa: 0.75, kb_relative_information_score: 232.5435, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.807, predictive_accuracy: 0.8214, prior_entropy: 2.2353, recall: 0.8214, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.6583, scimark_benchmark: 473.1656, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.8487, kappa: 0.7988, kb_relative_information_score: 252.2239, mean_absolute_error: 0.049, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8438, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.268, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1677, root_relative_squared_error: 0.5559, scimark_benchmark: 1254.1389, usercpu_time_millis: 80, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.8332, kappa: 0.7744, kb_relative_information_score: 249.4211, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8377, predictive_accuracy: 0.8363, prior_entropy: 2.2353, recall: 0.8363, relative_absolute_error: 0.2601, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.6032, scimark_benchmark: 473.1656, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7525, f_measure: 0.5111, kappa: 0.449, kb_relative_information_score: 125.525, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.4228, predictive_accuracy: 0.6458, prior_entropy: 2.2353, recall: 0.6458, relative_absolute_error: 0.7066, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2551, root_relative_squared_error: 0.8458, scimark_benchmark: 479.2609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 260.0853, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5458, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.2541, kb_relative_information_score: 23.9834, mean_absolute_error: 0.1763, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2918, root_relative_squared_error: 0.9675, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8535, kappa: 0.8005, kb_relative_information_score: 260.0853, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8666, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.5458, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8115, kappa: 0.7495, kb_relative_information_score: 247.749, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8111, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5798, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.2541, kb_relative_information_score: 0.1892, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002, scimark_benchmark: 1241.5236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.2541, kb_relative_information_score: 0.1892, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.1811, predictive_accuracy: 0.4256, prior_entropy: 2.2353, recall: 0.4256, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.3017, root_relative_squared_error: 1.0002, scimark_benchmark: 1248.2165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.7565, kappa: 0.6664, kb_relative_information_score: 211.4927, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7783, predictive_accuracy: 0.756, prior_entropy: 2.2353, recall: 0.756, relative_absolute_error: 0.4068, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.6867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.7359, kappa: 0.6628, kb_relative_information_score: 168.5379, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7683, predictive_accuracy: 0.7708, prior_entropy: 2.2353, recall: 0.7708, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.7001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.7359, kappa: 0.6628, kb_relative_information_score: 168.5379, mean_absolute_error: 0.1075, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7683, predictive_accuracy: 0.7708, prior_entropy: 2.2353, recall: 0.7708, relative_absolute_error: 0.5882, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2112, root_relative_squared_error: 0.7001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.7878, kappa: 0.7229, kb_relative_information_score: 230.2674, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.7965, predictive_accuracy: 0.8036, prior_entropy: 2.2353, recall: 0.8036, relative_absolute_error: 0.3342, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.6321, scimark_benchmark: 906.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.8498, kappa: 0.7979, kb_relative_information_score: 246.016, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8473, predictive_accuracy: 0.8542, prior_entropy: 2.2353, recall: 0.8542, relative_absolute_error: 0.2702, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.5661, scimark_benchmark: 851.2074, usercpu_time_millis: 60, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9704, f_measure: 0.8115, kappa: 0.7495, kb_relative_information_score: 247.749, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8111, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2916, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.5798, scimark_benchmark: 941.6675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 938.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8236, kappa: 0.7635, kb_relative_information_score: 233.8264, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8288, predictive_accuracy: 0.8304, prior_entropy: 2.2353, recall: 0.8304, relative_absolute_error: 0.3404, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5797, scimark_benchmark: 941.6675, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.8159, kappa: 0.7561, kb_relative_information_score: 227.2224, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8152, predictive_accuracy: 0.8244, prior_entropy: 2.2353, recall: 0.8244, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.183, root_relative_squared_error: 0.6068, scimark_benchmark: 905.2959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9657, f_measure: 0.8554, kappa: 0.8096, kb_relative_information_score: 244.6217, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.8501, predictive_accuracy: 0.8631, prior_entropy: 2.2353, recall: 0.8631, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5502, scimark_benchmark: 931.771, usercpu_time_millis: 70, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 60,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.6842, kappa: 0.6528, kb_relative_information_score: 193.0772, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.6262, predictive_accuracy: 0.7589, prior_entropy: 2.2353, recall: 0.7589, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.8139, scimark_benchmark: 932.438, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.8111, kappa: 0.7487, kb_relative_information_score: 244.6539, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.1828, number_of_instances: 336, precision: 0.809, predictive_accuracy: 0.8185, prior_entropy: 2.2353, recall: 0.8185, relative_absolute_error: 0.2963, root_mean_prior_squared_error: 0.3016, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5796, scimark_benchmark: 974.2014, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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

OpenML bootcamp

From your own software

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

OpenML APIs