Task
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 19004 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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19004 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6339, f_measure: 0.7562, kappa: 0.1999, kb_relative_information_score: 112.642, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7508, predictive_accuracy: 0.7627, prior_entropy: 0.7088, recall: 0.7627, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.438, root_relative_squared_error: 1.1088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.7582, kappa: 0.2108, kb_relative_information_score: 195.328, mean_absolute_error: 0.2538, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.754, predictive_accuracy: 0.7631, prior_entropy: 0.7088, recall: 0.7631, relative_absolute_error: 0.8132, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4427, root_relative_squared_error: 1.1206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7715, kappa: 0.2141, kb_relative_information_score: 194.2862, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7619, predictive_accuracy: 0.794, prior_entropy: 0.7088, recall: 0.794, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.7624, kappa: 0.2144, kb_relative_information_score: 282.2193, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7557, predictive_accuracy: 0.771, prior_entropy: 0.7088, recall: 0.771, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4317, root_relative_squared_error: 1.0927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6665, f_measure: 0.7714, kappa: 0.2308, kb_relative_information_score: 341.1838, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7627, predictive_accuracy: 0.7851, prior_entropy: 0.7088, recall: 0.7851, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4112, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.7596, kappa: 0.2128, kb_relative_information_score: 188.76, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7547, predictive_accuracy: 0.7653, prior_entropy: 0.7088, recall: 0.7653, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4521, root_relative_squared_error: 1.1444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6845, f_measure: 0.772, kappa: 0.2119, kb_relative_information_score: 204.1164, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.763, predictive_accuracy: 0.7971, prior_entropy: 0.7088, recall: 0.7971, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.394, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.7702, kappa: 0.2066, kb_relative_information_score: 217.2525, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7606, predictive_accuracy: 0.7948, prior_entropy: 0.7088, recall: 0.7948, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6382, f_measure: 0.7609, kappa: 0.2178, kb_relative_information_score: 288.1998, mean_absolute_error: 0.2517, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7562, predictive_accuracy: 0.7663, prior_entropy: 0.7088, recall: 0.7663, relative_absolute_error: 0.8064, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4368, root_relative_squared_error: 1.1057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.7626, kappa: 0.2134, kb_relative_information_score: 212.3203, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7556, predictive_accuracy: 0.7718, prior_entropy: 0.7088, recall: 0.7718, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4296, root_relative_squared_error: 1.0875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.7624, kappa: 0.2132, kb_relative_information_score: 255.0752, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7554, predictive_accuracy: 0.7713, prior_entropy: 0.7088, recall: 0.7713, relative_absolute_error: 0.8115, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4298, root_relative_squared_error: 1.0879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.7707, kappa: 0.2135, kb_relative_information_score: 169.482, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7609, predictive_accuracy: 0.7922, prior_entropy: 0.7088, recall: 0.7922, relative_absolute_error: 0.8314, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3973, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6529, f_measure: 0.7639, kappa: 0.2146, kb_relative_information_score: 199.5297, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7562, predictive_accuracy: 0.7742, prior_entropy: 0.7088, recall: 0.7742, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.0647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7683, kappa: 0.1955, kb_relative_information_score: 167.8727, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.759, predictive_accuracy: 0.796, prior_entropy: 0.7088, recall: 0.796, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.644, f_measure: 0.7624, kappa: 0.2134, kb_relative_information_score: 152.6983, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7555, predictive_accuracy: 0.7712, prior_entropy: 0.7088, recall: 0.7712, relative_absolute_error: 0.8204, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4296, root_relative_squared_error: 1.0875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6513, f_measure: 0.7647, kappa: 0.2172, kb_relative_information_score: 115.5167, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.757, predictive_accuracy: 0.7749, prior_entropy: 0.7088, recall: 0.7749, relative_absolute_error: 0.8234, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4206, root_relative_squared_error: 1.0648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6451, f_measure: 0.7623, kappa: 0.2131, kb_relative_information_score: 197.7841, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7554, predictive_accuracy: 0.7712, prior_entropy: 0.7088, recall: 0.7712, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4302, root_relative_squared_error: 1.0891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.7623, kappa: 0.2095, kb_relative_information_score: 152.22, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7546, predictive_accuracy: 0.7727, prior_entropy: 0.7088, recall: 0.7727, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4235, root_relative_squared_error: 1.0721,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.7722, kappa: 0.2147, kb_relative_information_score: 230.9624, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7629, predictive_accuracy: 0.7959, prior_entropy: 0.7088, recall: 0.7959, relative_absolute_error: 0.8305, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3955, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.77, kappa: 0.212, kb_relative_information_score: 109.749, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7601, predictive_accuracy: 0.7911, prior_entropy: 0.7088, recall: 0.7911, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3994, root_relative_squared_error: 1.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.7708, kappa: 0.2134, kb_relative_information_score: 161.7203, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.761, predictive_accuracy: 0.7925, prior_entropy: 0.7088, recall: 0.7925, relative_absolute_error: 0.8316, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3976, root_relative_squared_error: 1.0065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6151, f_measure: 0.7577, kappa: 0.2112, kb_relative_information_score: 343.4066, mean_absolute_error: 0.2526, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.754, predictive_accuracy: 0.7618, prior_entropy: 0.7088, recall: 0.7618, relative_absolute_error: 0.8092, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4614, root_relative_squared_error: 1.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7717, kappa: 0.2145, kb_relative_information_score: 160.0688, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7622, predictive_accuracy: 0.7944, prior_entropy: 0.7088, recall: 0.7944, relative_absolute_error: 0.8376, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.7709, kappa: 0.2213, kb_relative_information_score: 153.1279, mean_absolute_error: 0.2584, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7614, predictive_accuracy: 0.7886, prior_entropy: 0.7088, recall: 0.7886, relative_absolute_error: 0.8279, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4005, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.7712, kappa: 0.2095, kb_relative_information_score: 214.1028, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7619, predictive_accuracy: 0.7959, prior_entropy: 0.7088, recall: 0.7959, relative_absolute_error: 0.8343, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.772, kappa: 0.2287, kb_relative_information_score: 205.1791, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7629, predictive_accuracy: 0.7878, prior_entropy: 0.7088, recall: 0.7878, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4039, root_relative_squared_error: 1.0225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6037, f_measure: 0.7572, kappa: 0.2152, kb_relative_information_score: 471.3589, mean_absolute_error: 0.251, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7551, predictive_accuracy: 0.7595, prior_entropy: 0.7088, recall: 0.7595, relative_absolute_error: 0.8041, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.2093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6586, f_measure: 0.7683, kappa: 0.226, kb_relative_information_score: 273.1352, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7603, predictive_accuracy: 0.7799, prior_entropy: 0.7088, recall: 0.7799, relative_absolute_error: 0.8139, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4174, root_relative_squared_error: 1.0567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.762, kappa: 0.2125, kb_relative_information_score: 163.8142, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7552, predictive_accuracy: 0.7708, prior_entropy: 0.7088, recall: 0.7708, relative_absolute_error: 0.8178, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4219, root_relative_squared_error: 1.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6811, f_measure: 0.772, kappa: 0.2146, kb_relative_information_score: 183.0261, mean_absolute_error: 0.2602, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7626, predictive_accuracy: 0.7953, prior_entropy: 0.7088, recall: 0.7953, relative_absolute_error: 0.8337, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3959, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6945, f_measure: 0.7736, kappa: 0.2185, kb_relative_information_score: 243.1695, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7647, predictive_accuracy: 0.7976, prior_entropy: 0.7088, recall: 0.7976, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3908, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.658, f_measure: 0.766, kappa: 0.221, kb_relative_information_score: 172.5622, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7583, predictive_accuracy: 0.7765, prior_entropy: 0.7088, recall: 0.7765, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4189, root_relative_squared_error: 1.0605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7697, kappa: 0.2055, kb_relative_information_score: 198.8141, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.76, predictive_accuracy: 0.794, prior_entropy: 0.7088, recall: 0.794, relative_absolute_error: 0.8344, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6434, f_measure: 0.7634, kappa: 0.2145, kb_relative_information_score: 240.5514, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.756, predictive_accuracy: 0.7731, prior_entropy: 0.7088, recall: 0.7731, relative_absolute_error: 0.8135, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4288, root_relative_squared_error: 1.0855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.7728, kappa: 0.2193, kb_relative_information_score: 197.3094, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7635, predictive_accuracy: 0.7949, prior_entropy: 0.7088, recall: 0.7949, relative_absolute_error: 0.8333, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6787, f_measure: 0.77, kappa: 0.2107, kb_relative_information_score: 148.5796, mean_absolute_error: 0.2592, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.76, predictive_accuracy: 0.7916, prior_entropy: 0.7088, recall: 0.7916, relative_absolute_error: 0.8304, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3988, root_relative_squared_error: 1.0097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6714, f_measure: 0.7698, kappa: 0.2175, kb_relative_information_score: 233.2266, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7601, predictive_accuracy: 0.7876, prior_entropy: 0.7088, recall: 0.7876, relative_absolute_error: 0.8216, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4051, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7723, kappa: 0.217, kb_relative_information_score: 174.0109, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7628, predictive_accuracy: 0.7947, prior_entropy: 0.7088, recall: 0.7947, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6689, f_measure: 0.7703, kappa: 0.2237, kb_relative_information_score: 244.3695, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7611, predictive_accuracy: 0.7859, prior_entropy: 0.7088, recall: 0.7859, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4084, root_relative_squared_error: 1.0338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, f_measure: 0.7548, kappa: 0.1966, kb_relative_information_score: 201.0728, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7497, predictive_accuracy: 0.7608, prior_entropy: 0.7088, recall: 0.7608, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4487, root_relative_squared_error: 1.1358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6522, f_measure: 0.7613, kappa: 0.2016, kb_relative_information_score: 104.7433, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7526, predictive_accuracy: 0.7735, prior_entropy: 0.7088, recall: 0.7735, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4194, root_relative_squared_error: 1.0618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6518, f_measure: 0.7624, kappa: 0.2094, kb_relative_information_score: 109.5992, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7546, predictive_accuracy: 0.7728, prior_entropy: 0.7088, recall: 0.7728, relative_absolute_error: 0.822, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4208, root_relative_squared_error: 1.0653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6433, f_measure: 0.7598, kappa: 0.2041, kb_relative_information_score: 130.5958, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7526, predictive_accuracy: 0.7689, prior_entropy: 0.7088, recall: 0.7689, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4341, root_relative_squared_error: 1.0989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.7648, kappa: 0.214, kb_relative_information_score: 251.9005, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7565, predictive_accuracy: 0.7766, prior_entropy: 0.7088, recall: 0.7766, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.0738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.7712, kappa: 0.21, kb_relative_information_score: 173.988, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7618, predictive_accuracy: 0.7956, prior_entropy: 0.7088, recall: 0.7956, relative_absolute_error: 0.8365, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3947, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6247, f_measure: 0.755, kappa: 0.2022, kb_relative_information_score: 118.5377, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7512, predictive_accuracy: 0.7591, prior_entropy: 0.7088, recall: 0.7591, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4479, root_relative_squared_error: 1.1338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.7588, kappa: 0.2064, kb_relative_information_score: 167.6561, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7529, predictive_accuracy: 0.7659, prior_entropy: 0.7088, recall: 0.7659, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4414, root_relative_squared_error: 1.1173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.593, f_measure: 0.7561, kappa: 0.2168, kb_relative_information_score: 619.8478, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7556, predictive_accuracy: 0.7565, prior_entropy: 0.7088, recall: 0.7565, relative_absolute_error: 0.8006, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4931, root_relative_squared_error: 1.2483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.7708, kappa: 0.229, kb_relative_information_score: 280.0911, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7621, predictive_accuracy: 0.7845, prior_entropy: 0.7088, recall: 0.7845, relative_absolute_error: 0.8154, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4117, root_relative_squared_error: 1.0422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6775, f_measure: 0.7709, kappa: 0.2219, kb_relative_information_score: 122.5328, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7614, predictive_accuracy: 0.7882, prior_entropy: 0.7088, recall: 0.7882, relative_absolute_error: 0.8297, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4015, root_relative_squared_error: 1.0164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6209, f_measure: 0.7578, kappa: 0.2087, kb_relative_information_score: 244.1104, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7533, predictive_accuracy: 0.7629, prior_entropy: 0.7088, recall: 0.7629, relative_absolute_error: 0.8148, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4576, root_relative_squared_error: 1.1584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.7585, kappa: 0.2024, kb_relative_information_score: 117.9431, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7518, predictive_accuracy: 0.7667, prior_entropy: 0.7088, recall: 0.7667, relative_absolute_error: 0.8211, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4243, root_relative_squared_error: 1.0741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.7684, kappa: 0.1933, kb_relative_information_score: 275.3078, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7598, predictive_accuracy: 0.798, prior_entropy: 0.7088, recall: 0.798, relative_absolute_error: 0.8339, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6653, f_measure: 0.7716, kappa: 0.2303, kb_relative_information_score: 289.1419, mean_absolute_error: 0.2544, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7627, predictive_accuracy: 0.7859, prior_entropy: 0.7088, recall: 0.7859, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4118, root_relative_squared_error: 1.0425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.7588, kappa: 0.2119, kb_relative_information_score: 398.7317, mean_absolute_error: 0.2508, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7543, predictive_accuracy: 0.7639, prior_entropy: 0.7088, recall: 0.7639, relative_absolute_error: 0.8036, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4632, root_relative_squared_error: 1.1727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.7702, kappa: 0.2184, kb_relative_information_score: 185.5314, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7605, predictive_accuracy: 0.7882, prior_entropy: 0.7088, recall: 0.7882, relative_absolute_error: 0.8295, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4011, root_relative_squared_error: 1.0154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.7728, kappa: 0.2282, kb_relative_information_score: 334.3388, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7635, predictive_accuracy: 0.79, prior_entropy: 0.7088, recall: 0.79, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4036, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.7681, kappa: 0.2224, kb_relative_information_score: 216.2346, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7596, predictive_accuracy: 0.781, prior_entropy: 0.7088, recall: 0.781, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4135, root_relative_squared_error: 1.0468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.7619, kappa: 0.2125, kb_relative_information_score: 39.1045, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7551, predictive_accuracy: 0.7704, prior_entropy: 0.7088, recall: 0.7704, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4254, root_relative_squared_error: 1.0769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7703, kappa: 0.21, kb_relative_information_score: 127.0492, mean_absolute_error: 0.2621, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7604, predictive_accuracy: 0.7928, prior_entropy: 0.7088, recall: 0.7928, relative_absolute_error: 0.8399, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7715, kappa: 0.2127, kb_relative_information_score: 170.8769, mean_absolute_error: 0.2605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7621, predictive_accuracy: 0.795, prior_entropy: 0.7088, recall: 0.795, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3962, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.772, kappa: 0.2256, kb_relative_information_score: 312.1704, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7626, predictive_accuracy: 0.7892, prior_entropy: 0.7088, recall: 0.7892, relative_absolute_error: 0.8169, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4034, root_relative_squared_error: 1.0213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6716, f_measure: 0.7698, kappa: 0.2188, kb_relative_information_score: 284.0005, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7602, predictive_accuracy: 0.787, prior_entropy: 0.7088, recall: 0.787, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4059, root_relative_squared_error: 1.0276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.7649, kappa: 0.2129, kb_relative_information_score: 238.2958, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7563, predictive_accuracy: 0.7773, prior_entropy: 0.7088, recall: 0.7773, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.416, root_relative_squared_error: 1.0531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7734, kappa: 0.2232, kb_relative_information_score: 199.4762, mean_absolute_error: 0.2597, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7641, predictive_accuracy: 0.7944, prior_entropy: 0.7088, recall: 0.7944, relative_absolute_error: 0.8321, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3942, root_relative_squared_error: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.7597, kappa: 0.2069, kb_relative_information_score: 210.2745, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7532, predictive_accuracy: 0.7678, prior_entropy: 0.7088, recall: 0.7678, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4306, root_relative_squared_error: 1.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.7713, kappa: 0.2301, kb_relative_information_score: 298.685, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7625, predictive_accuracy: 0.7852, prior_entropy: 0.7088, recall: 0.7852, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4116, root_relative_squared_error: 1.0421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.7739, kappa: 0.2202, kb_relative_information_score: 198.0203, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7649, predictive_accuracy: 0.7974, prior_entropy: 0.7088, recall: 0.7974, relative_absolute_error: 0.837, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.617, f_measure: 0.759, kappa: 0.2192, kb_relative_information_score: 389.0796, mean_absolute_error: 0.2503, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7564, predictive_accuracy: 0.7617, prior_entropy: 0.7088, recall: 0.7617, relative_absolute_error: 0.8018, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4601, root_relative_squared_error: 1.1647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6844, f_measure: 0.7722, kappa: 0.2158, kb_relative_information_score: 225.716, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7628, predictive_accuracy: 0.7952, prior_entropy: 0.7088, recall: 0.7952, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3955, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.7723, kappa: 0.2141, kb_relative_information_score: 224.6762, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7631, predictive_accuracy: 0.7964, prior_entropy: 0.7088, recall: 0.7964, relative_absolute_error: 0.8377, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.9907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.7694, kappa: 0.2215, kb_relative_information_score: 229.9756, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7601, predictive_accuracy: 0.7845, prior_entropy: 0.7088, recall: 0.7845, relative_absolute_error: 0.8198, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4085, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6047, f_measure: 0.7609, kappa: 0.2161, kb_relative_information_score: 530.1905, mean_absolute_error: 0.2487, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7558, predictive_accuracy: 0.7668, prior_entropy: 0.7088, recall: 0.7668, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.2022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6707, f_measure: 0.7685, kappa: 0.2139, kb_relative_information_score: 247.1469, mean_absolute_error: 0.2572, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7586, predictive_accuracy: 0.7858, prior_entropy: 0.7088, recall: 0.7858, relative_absolute_error: 0.8241, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4071, root_relative_squared_error: 1.0304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6994, f_measure: 0.7732, kappa: 0.2151, kb_relative_information_score: 276.5771, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7646, predictive_accuracy: 0.7986, prior_entropy: 0.7088, recall: 0.7986, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3886, root_relative_squared_error: 0.9838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.7709, kappa: 0.2112, kb_relative_information_score: 197.1849, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7613, predictive_accuracy: 0.7941, prior_entropy: 0.7088, recall: 0.7941, relative_absolute_error: 0.833, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.396, root_relative_squared_error: 1.0025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.7694, kappa: 0.209, kb_relative_information_score: 112.3821, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7593, predictive_accuracy: 0.7909, prior_entropy: 0.7088, recall: 0.7909, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3995, root_relative_squared_error: 1.0113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.7596, kappa: 0.2096, kb_relative_information_score: 222.9296, mean_absolute_error: 0.2536, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7539, predictive_accuracy: 0.7664, prior_entropy: 0.7088, recall: 0.7664, relative_absolute_error: 0.8124, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4408, root_relative_squared_error: 1.1158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.772, kappa: 0.2157, kb_relative_information_score: 192.615, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7626, predictive_accuracy: 0.7947, prior_entropy: 0.7088, recall: 0.7947, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7731, kappa: 0.2161, kb_relative_information_score: 198.1437, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7642, predictive_accuracy: 0.7976, prior_entropy: 0.7088, recall: 0.7976, relative_absolute_error: 0.8396, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3915, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7719, kappa: 0.2249, kb_relative_information_score: 226.4136, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7625, predictive_accuracy: 0.7894, prior_entropy: 0.7088, recall: 0.7894, relative_absolute_error: 0.8256, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4005, root_relative_squared_error: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.7725, kappa: 0.2285, kb_relative_information_score: 275.1838, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7633, predictive_accuracy: 0.7892, prior_entropy: 0.7088, recall: 0.7892, relative_absolute_error: 0.8229, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4028, root_relative_squared_error: 1.0196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.7612, kappa: 0.2093, kb_relative_information_score: 125.5838, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7542, predictive_accuracy: 0.7701, prior_entropy: 0.7088, recall: 0.7701, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4296, root_relative_squared_error: 1.0875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6805, f_measure: 0.7701, kappa: 0.2081, kb_relative_information_score: 171.2674, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7603, predictive_accuracy: 0.7936, prior_entropy: 0.7088, recall: 0.7936, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3964, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6621, f_measure: 0.7636, kappa: 0.211, kb_relative_information_score: 202.6454, mean_absolute_error: 0.256, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7554, predictive_accuracy: 0.7751, prior_entropy: 0.7088, recall: 0.7751, relative_absolute_error: 0.8201, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4135, root_relative_squared_error: 1.0467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6675, f_measure: 0.7686, kappa: 0.2222, kb_relative_information_score: 294.3401, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7598, predictive_accuracy: 0.7822, prior_entropy: 0.7088, recall: 0.7822, relative_absolute_error: 0.8175, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4086, root_relative_squared_error: 1.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6878, f_measure: 0.7681, kappa: 0.1955, kb_relative_information_score: 176.6156, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7587, predictive_accuracy: 0.7955, prior_entropy: 0.7088, recall: 0.7955, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3937, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6194, f_measure: 0.7587, kappa: 0.2137, kb_relative_information_score: 254.5518, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7548, predictive_accuracy: 0.7631, prior_entropy: 0.7088, recall: 0.7631, relative_absolute_error: 0.8114, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4547, root_relative_squared_error: 1.1511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6332, f_measure: 0.7619, kappa: 0.2154, kb_relative_information_score: 174.0565, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7558, predictive_accuracy: 0.7693, prior_entropy: 0.7088, recall: 0.7693, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4404, root_relative_squared_error: 1.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6669, f_measure: 0.7715, kappa: 0.2306, kb_relative_information_score: 315.6787, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7627, predictive_accuracy: 0.7855, prior_entropy: 0.7088, recall: 0.7855, relative_absolute_error: 0.8129, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4115, root_relative_squared_error: 1.0418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7736, kappa: 0.2234, kb_relative_information_score: 291.4958, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7642, predictive_accuracy: 0.7947, prior_entropy: 0.7088, recall: 0.7947, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6725, f_measure: 0.7708, kappa: 0.2204, kb_relative_information_score: 86.5754, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7612, predictive_accuracy: 0.7888, prior_entropy: 0.7088, recall: 0.7888, relative_absolute_error: 0.8327, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4021, root_relative_squared_error: 1.018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.7615, kappa: 0.2083, kb_relative_information_score: 87.0888, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.754, predictive_accuracy: 0.7712, prior_entropy: 0.7088, recall: 0.7712, relative_absolute_error: 0.8232, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4229, root_relative_squared_error: 1.0704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.7626, kappa: 0.2051, kb_relative_information_score: 195.956, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7538, predictive_accuracy: 0.7753, prior_entropy: 0.7088, recall: 0.7753, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4182, root_relative_squared_error: 1.0586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6372, f_measure: 0.7576, kappa: 0.206, kb_relative_information_score: 276.6509, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7526, predictive_accuracy: 0.7634, prior_entropy: 0.7088, recall: 0.7634, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.437, root_relative_squared_error: 1.1063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.68, f_measure: 0.7705, kappa: 0.2126, kb_relative_information_score: 157.54, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7607, predictive_accuracy: 0.7921, prior_entropy: 0.7088, recall: 0.7921, relative_absolute_error: 0.8318, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3977, root_relative_squared_error: 1.0067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.7736, kappa: 0.2338, kb_relative_information_score: 270.3784, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7646, predictive_accuracy: 0.7894, prior_entropy: 0.7088, recall: 0.7894, relative_absolute_error: 0.8221, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4026, root_relative_squared_error: 1.0192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6351, f_measure: 0.7626, kappa: 0.2177, kb_relative_information_score: 252.2703, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7566, predictive_accuracy: 0.7701, prior_entropy: 0.7088, recall: 0.7701, relative_absolute_error: 0.8102, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4396, root_relative_squared_error: 1.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6467, f_measure: 0.7627, kappa: 0.2115, kb_relative_information_score: 143.9735, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7551, predictive_accuracy: 0.7726, prior_entropy: 0.7088, recall: 0.7726, relative_absolute_error: 0.8212, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4269, root_relative_squared_error: 1.0808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.7637, kappa: 0.2175, kb_relative_information_score: 147.5456, mean_absolute_error: 0.2552, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7568, predictive_accuracy: 0.7727, prior_entropy: 0.7088, recall: 0.7727, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4235, root_relative_squared_error: 1.0721,

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

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

OpenML APIs