Task
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 14231 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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14231 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6171, f_measure: 0.7529, kappa: 0.198, kb_relative_information_score: 148.1839, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7498, predictive_accuracy: 0.7563, prior_entropy: 0.7088, recall: 0.7563, relative_absolute_error: 0.8168, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4572, root_relative_squared_error: 1.1574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.7621, kappa: 0.2081, kb_relative_information_score: 96.4507, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7542, predictive_accuracy: 0.7726, prior_entropy: 0.7088, recall: 0.7726, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4202, root_relative_squared_error: 1.0637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.641, f_measure: 0.7634, kappa: 0.2157, kb_relative_information_score: 178.9233, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7563, predictive_accuracy: 0.7727, prior_entropy: 0.7088, recall: 0.7727, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4311, root_relative_squared_error: 1.0914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.7709, kappa: 0.2206, kb_relative_information_score: 83.9252, mean_absolute_error: 0.2599, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7613, predictive_accuracy: 0.7889, prior_entropy: 0.7088, recall: 0.7889, relative_absolute_error: 0.8328, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4016, root_relative_squared_error: 1.0166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.7739, kappa: 0.2171, kb_relative_information_score: 208.6865, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7656, predictive_accuracy: 0.7996, prior_entropy: 0.7088, recall: 0.7996, relative_absolute_error: 0.8395, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3891, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.764, kappa: 0.2122, kb_relative_information_score: 174.3571, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7558, predictive_accuracy: 0.7756, prior_entropy: 0.7088, recall: 0.7756, relative_absolute_error: 0.8194, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4264, root_relative_squared_error: 1.0794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6789, f_measure: 0.7703, kappa: 0.219, kb_relative_information_score: 209.5301, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7606, predictive_accuracy: 0.7881, prior_entropy: 0.7088, recall: 0.7881, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4013, root_relative_squared_error: 1.0158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.7683, kappa: 0.1962, kb_relative_information_score: 148.655, mean_absolute_error: 0.2616, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.759, predictive_accuracy: 0.7957, prior_entropy: 0.7088, recall: 0.7957, relative_absolute_error: 0.8381, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.7685, kappa: 0.1931, kb_relative_information_score: 254.0562, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.76, predictive_accuracy: 0.7983, prior_entropy: 0.7088, recall: 0.7983, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6213, f_measure: 0.7566, kappa: 0.208, kb_relative_information_score: 190.4384, mean_absolute_error: 0.2547, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.753, predictive_accuracy: 0.7606, prior_entropy: 0.7088, recall: 0.7606, relative_absolute_error: 0.8162, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4529, root_relative_squared_error: 1.1465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.7723, kappa: 0.2144, kb_relative_information_score: 158.0042, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7632, predictive_accuracy: 0.7964, prior_entropy: 0.7088, recall: 0.7964, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.7711, kappa: 0.2221, kb_relative_information_score: 98.762, mean_absolute_error: 0.2595, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7615, predictive_accuracy: 0.7885, prior_entropy: 0.7088, recall: 0.7885, relative_absolute_error: 0.8315, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.402, root_relative_squared_error: 1.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.773, kappa: 0.2161, kb_relative_information_score: 245.9797, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.764, predictive_accuracy: 0.7972, prior_entropy: 0.7088, recall: 0.7972, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.391, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6249, f_measure: 0.7562, kappa: 0.2023, kb_relative_information_score: 279.9233, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7514, predictive_accuracy: 0.7618, prior_entropy: 0.7088, recall: 0.7618, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4493, root_relative_squared_error: 1.1374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.7696, kappa: 0.1995, kb_relative_information_score: 206.0495, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7608, predictive_accuracy: 0.7975, prior_entropy: 0.7088, recall: 0.7975, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6203, f_measure: 0.7568, kappa: 0.2106, kb_relative_information_score: 218.0198, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7538, predictive_accuracy: 0.76, prior_entropy: 0.7088, recall: 0.76, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.461, root_relative_squared_error: 1.1671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7614, kappa: 0.2083, kb_relative_information_score: 186.806, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.754, predictive_accuracy: 0.771, prior_entropy: 0.7088, recall: 0.771, relative_absolute_error: 0.8171, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4298, root_relative_squared_error: 1.088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6907, f_measure: 0.7722, kappa: 0.2165, kb_relative_information_score: 178.8425, mean_absolute_error: 0.261, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7628, predictive_accuracy: 0.7948, prior_entropy: 0.7088, recall: 0.7948, relative_absolute_error: 0.8361, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.7639, kappa: 0.2181, kb_relative_information_score: 223.3191, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.757, predictive_accuracy: 0.7729, prior_entropy: 0.7088, recall: 0.7729, relative_absolute_error: 0.8145, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4286, root_relative_squared_error: 1.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.691, f_measure: 0.768, kappa: 0.1949, kb_relative_information_score: 185.8535, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7585, predictive_accuracy: 0.7954, prior_entropy: 0.7088, recall: 0.7954, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.9925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.7706, kappa: 0.2197, kb_relative_information_score: 105.5608, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7609, predictive_accuracy: 0.7884, prior_entropy: 0.7088, recall: 0.7884, relative_absolute_error: 0.8307, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4014, root_relative_squared_error: 1.0161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6954, f_measure: 0.7694, kappa: 0.1959, kb_relative_information_score: 247.097, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7613, predictive_accuracy: 0.7993, prior_entropy: 0.7088, recall: 0.7993, relative_absolute_error: 0.836, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3897, root_relative_squared_error: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.7719, kappa: 0.2275, kb_relative_information_score: 214.6604, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7627, predictive_accuracy: 0.7881, prior_entropy: 0.7088, recall: 0.7881, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.764, kappa: 0.2123, kb_relative_information_score: 165.7985, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7558, predictive_accuracy: 0.7755, prior_entropy: 0.7088, recall: 0.7755, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4195, root_relative_squared_error: 1.0619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6043, f_measure: 0.762, kappa: 0.2195, kb_relative_information_score: 528.1611, mean_absolute_error: 0.2485, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7569, predictive_accuracy: 0.7681, prior_entropy: 0.7088, recall: 0.7681, relative_absolute_error: 0.7962, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4745, root_relative_squared_error: 1.2011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7725, kappa: 0.2151, kb_relative_information_score: 215.2713, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7633, predictive_accuracy: 0.7964, prior_entropy: 0.7088, recall: 0.7964, relative_absolute_error: 0.8384, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.9908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6491, f_measure: 0.762, kappa: 0.2121, kb_relative_information_score: 108.3791, mean_absolute_error: 0.2565, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7551, predictive_accuracy: 0.7709, prior_entropy: 0.7088, recall: 0.7709, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4242, root_relative_squared_error: 1.0739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.7692, kappa: 0.2087, kb_relative_information_score: 126.2885, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7591, predictive_accuracy: 0.7904, prior_entropy: 0.7088, recall: 0.7904, relative_absolute_error: 0.8323, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3991, root_relative_squared_error: 1.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6541, f_measure: 0.7615, kappa: 0.2023, kb_relative_information_score: 171.2056, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7528, predictive_accuracy: 0.7737, prior_entropy: 0.7088, recall: 0.7737, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4186, root_relative_squared_error: 1.0596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.648, f_measure: 0.7596, kappa: 0.2054, kb_relative_information_score: 108.9037, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7528, predictive_accuracy: 0.7681, prior_entropy: 0.7088, recall: 0.7681, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4249, root_relative_squared_error: 1.0756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6593, f_measure: 0.7643, kappa: 0.2114, kb_relative_information_score: 169.9103, mean_absolute_error: 0.2568, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7558, predictive_accuracy: 0.7767, prior_entropy: 0.7088, recall: 0.7767, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4171, root_relative_squared_error: 1.0558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6874, f_measure: 0.7684, kappa: 0.1966, kb_relative_information_score: 179.1556, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.759, predictive_accuracy: 0.7957, prior_entropy: 0.7088, recall: 0.7957, relative_absolute_error: 0.8368, 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: 0.6925, f_measure: 0.7735, kappa: 0.2183, kb_relative_information_score: 235.3581, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7646, predictive_accuracy: 0.7975, prior_entropy: 0.7088, recall: 0.7975, relative_absolute_error: 0.8368, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.391, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7687, kappa: 0.1959, kb_relative_information_score: 182.6144, mean_absolute_error: 0.2617, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7598, predictive_accuracy: 0.7972, prior_entropy: 0.7088, recall: 0.7972, relative_absolute_error: 0.8385, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3922, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7742, kappa: 0.2308, kb_relative_information_score: 273.2913, mean_absolute_error: 0.2571, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.765, predictive_accuracy: 0.7925, prior_entropy: 0.7088, recall: 0.7925, relative_absolute_error: 0.8237, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6411, f_measure: 0.76, kappa: 0.2052, kb_relative_information_score: 162.974, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7529, predictive_accuracy: 0.769, prior_entropy: 0.7088, recall: 0.769, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.1021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6925, f_measure: 0.7732, kappa: 0.217, kb_relative_information_score: 227.9995, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7643, predictive_accuracy: 0.7975, prior_entropy: 0.7088, recall: 0.7975, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.391, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.7626, kappa: 0.2173, kb_relative_information_score: 225.7672, mean_absolute_error: 0.2532, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7565, predictive_accuracy: 0.7702, prior_entropy: 0.7088, recall: 0.7702, relative_absolute_error: 0.8111, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4394, root_relative_squared_error: 1.1124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6896, f_measure: 0.7692, kappa: 0.1988, kb_relative_information_score: 196.2077, mean_absolute_error: 0.2608, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7602, predictive_accuracy: 0.7968, prior_entropy: 0.7088, recall: 0.7968, relative_absolute_error: 0.8356, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.7711, kappa: 0.2235, kb_relative_information_score: 256.8439, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7616, predictive_accuracy: 0.7879, prior_entropy: 0.7088, recall: 0.7879, relative_absolute_error: 0.8196, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4043, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.667, f_measure: 0.7693, kappa: 0.2264, kb_relative_information_score: 251.6672, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7608, predictive_accuracy: 0.7821, prior_entropy: 0.7088, recall: 0.7821, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.409, root_relative_squared_error: 1.0353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.7695, kappa: 0.2169, kb_relative_information_score: 222.2973, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7598, predictive_accuracy: 0.7871, prior_entropy: 0.7088, recall: 0.7871, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4056, root_relative_squared_error: 1.0268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6733, f_measure: 0.7711, kappa: 0.2204, kb_relative_information_score: 193.2738, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7615, predictive_accuracy: 0.7896, prior_entropy: 0.7088, recall: 0.7896, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4036, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6768, f_measure: 0.7693, kappa: 0.2089, kb_relative_information_score: 125.0598, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7592, predictive_accuracy: 0.7907, prior_entropy: 0.7088, recall: 0.7907, relative_absolute_error: 0.8322, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3994, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6307, f_measure: 0.761, kappa: 0.2107, kb_relative_information_score: 253.9269, mean_absolute_error: 0.2527, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7545, predictive_accuracy: 0.7692, prior_entropy: 0.7088, recall: 0.7692, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4418, root_relative_squared_error: 1.1184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6692, f_measure: 0.7689, kappa: 0.2155, kb_relative_information_score: 231.7498, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7592, predictive_accuracy: 0.7862, prior_entropy: 0.7088, recall: 0.7862, relative_absolute_error: 0.8248, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4069, root_relative_squared_error: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.768, kappa: 0.1944, kb_relative_information_score: 192.0437, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7587, predictive_accuracy: 0.7959, prior_entropy: 0.7088, recall: 0.7959, relative_absolute_error: 0.8371, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.9919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.7739, kappa: 0.225, kb_relative_information_score: 198.4438, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7646, predictive_accuracy: 0.7947, prior_entropy: 0.7088, recall: 0.7947, relative_absolute_error: 0.8323, 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: 0.6899, f_measure: 0.7721, kappa: 0.2169, kb_relative_information_score: 165.8901, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7626, predictive_accuracy: 0.7941, prior_entropy: 0.7088, recall: 0.7941, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3946, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6026, f_measure: 0.7564, kappa: 0.2166, kb_relative_information_score: 389.5248, mean_absolute_error: 0.253, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7555, predictive_accuracy: 0.7573, prior_entropy: 0.7088, recall: 0.7573, relative_absolute_error: 0.8106, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.485, root_relative_squared_error: 1.2276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7724, kappa: 0.2144, kb_relative_information_score: 167.0183, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7633, predictive_accuracy: 0.7966, prior_entropy: 0.7088, recall: 0.7966, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6853, f_measure: 0.7741, kappa: 0.2306, kb_relative_information_score: 256.1088, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7649, predictive_accuracy: 0.7924, prior_entropy: 0.7088, recall: 0.7924, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3972, root_relative_squared_error: 1.0056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7746, kappa: 0.2269, kb_relative_information_score: 245.4321, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7655, predictive_accuracy: 0.7958, prior_entropy: 0.7088, recall: 0.7958, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.7715, kappa: 0.226, kb_relative_information_score: 222.7753, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7622, predictive_accuracy: 0.7877, prior_entropy: 0.7088, recall: 0.7877, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6711, f_measure: 0.7713, kappa: 0.225, kb_relative_information_score: 213.1428, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.762, predictive_accuracy: 0.7877, prior_entropy: 0.7088, recall: 0.7877, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4043, root_relative_squared_error: 1.0234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6404, f_measure: 0.7575, kappa: 0.2043, kb_relative_information_score: 319.5697, mean_absolute_error: 0.2521, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7521, predictive_accuracy: 0.7638, prior_entropy: 0.7088, recall: 0.7638, relative_absolute_error: 0.8076, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4361, root_relative_squared_error: 1.1039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6525, f_measure: 0.7616, kappa: 0.2024, kb_relative_information_score: 144.5641, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7529, predictive_accuracy: 0.774, prior_entropy: 0.7088, recall: 0.774, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4188, root_relative_squared_error: 1.0603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.758, kappa: 0.209, kb_relative_information_score: 178.3592, mean_absolute_error: 0.2546, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7535, predictive_accuracy: 0.7633, prior_entropy: 0.7088, recall: 0.7633, relative_absolute_error: 0.8157, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4566, root_relative_squared_error: 1.1559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.655, f_measure: 0.7651, kappa: 0.2179, kb_relative_information_score: 173.0535, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7574, predictive_accuracy: 0.7757, prior_entropy: 0.7088, recall: 0.7757, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4197, root_relative_squared_error: 1.0624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.7613, kappa: 0.2091, kb_relative_information_score: 143.9171, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7542, predictive_accuracy: 0.7704, prior_entropy: 0.7088, recall: 0.7704, relative_absolute_error: 0.8207, 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: 0.6787, f_measure: 0.7701, kappa: 0.2109, kb_relative_information_score: 154.3185, mean_absolute_error: 0.2591, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7602, predictive_accuracy: 0.7919, prior_entropy: 0.7088, recall: 0.7919, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3985, root_relative_squared_error: 1.0088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6253, f_measure: 0.7586, kappa: 0.2111, kb_relative_information_score: 147.3683, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7541, predictive_accuracy: 0.7638, prior_entropy: 0.7088, recall: 0.7638, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.444, root_relative_squared_error: 1.1239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.7744, kappa: 0.2319, kb_relative_information_score: 261.7451, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7652, predictive_accuracy: 0.7924, prior_entropy: 0.7088, recall: 0.7924, relative_absolute_error: 0.8247, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3968, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6592, f_measure: 0.7677, kappa: 0.2248, kb_relative_information_score: 268.4165, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7598, predictive_accuracy: 0.7788, prior_entropy: 0.7088, recall: 0.7788, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.418, root_relative_squared_error: 1.0582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.7687, kappa: 0.1959, kb_relative_information_score: 192.5826, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7598, predictive_accuracy: 0.7972, prior_entropy: 0.7088, recall: 0.7972, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3916, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.7718, kappa: 0.2161, kb_relative_information_score: 170.8782, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7622, predictive_accuracy: 0.7938, prior_entropy: 0.7088, recall: 0.7938, relative_absolute_error: 0.8354, 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: 0.6721, f_measure: 0.7712, kappa: 0.2216, kb_relative_information_score: 154.3335, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7616, predictive_accuracy: 0.7891, prior_entropy: 0.7088, recall: 0.7891, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4041, root_relative_squared_error: 1.0229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.7573, kappa: 0.2025, kb_relative_information_score: 246.0256, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7516, predictive_accuracy: 0.764, prior_entropy: 0.7088, recall: 0.764, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4512, root_relative_squared_error: 1.1423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.7713, kappa: 0.2224, kb_relative_information_score: 279.2068, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7617, predictive_accuracy: 0.789, prior_entropy: 0.7088, recall: 0.789, relative_absolute_error: 0.819, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4044, root_relative_squared_error: 1.0236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.7724, kappa: 0.2154, kb_relative_information_score: 171.766, mean_absolute_error: 0.2619, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7631, predictive_accuracy: 0.7959, prior_entropy: 0.7088, recall: 0.7959, relative_absolute_error: 0.8391, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3928, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.7714, kappa: 0.2224, kb_relative_information_score: 154.9898, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7618, predictive_accuracy: 0.7892, prior_entropy: 0.7088, recall: 0.7892, relative_absolute_error: 0.8269, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.404, root_relative_squared_error: 1.0226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6772, f_measure: 0.7738, kappa: 0.233, kb_relative_information_score: 304.2704, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7647, predictive_accuracy: 0.7904, prior_entropy: 0.7088, recall: 0.7904, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4019, root_relative_squared_error: 1.0175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.7714, kappa: 0.2226, kb_relative_information_score: 185.3706, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7619, predictive_accuracy: 0.7893, prior_entropy: 0.7088, recall: 0.7893, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4037, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.65, f_measure: 0.7653, kappa: 0.2219, kb_relative_information_score: 194.1756, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7583, predictive_accuracy: 0.7745, prior_entropy: 0.7088, recall: 0.7745, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4231, root_relative_squared_error: 1.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6182, f_measure: 0.7555, kappa: 0.2001, kb_relative_information_score: 96.2282, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7507, predictive_accuracy: 0.761, prior_entropy: 0.7088, recall: 0.761, relative_absolute_error: 0.8233, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.454, root_relative_squared_error: 1.1492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.7707, kappa: 0.2191, kb_relative_information_score: 124.0186, mean_absolute_error: 0.2586, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.761, predictive_accuracy: 0.789, prior_entropy: 0.7088, recall: 0.789, relative_absolute_error: 0.8286, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4046, root_relative_squared_error: 1.0242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.7696, kappa: 0.1995, kb_relative_information_score: 201.1327, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7608, predictive_accuracy: 0.7975, prior_entropy: 0.7088, recall: 0.7975, relative_absolute_error: 0.8352, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7682, kappa: 0.1957, kb_relative_information_score: 175.0743, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7588, 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: 0.3938, root_relative_squared_error: 0.9969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.7717, kappa: 0.2134, kb_relative_information_score: 185.5774, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7623, predictive_accuracy: 0.7952, prior_entropy: 0.7088, recall: 0.7952, relative_absolute_error: 0.8333, 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: 0.667, f_measure: 0.7723, kappa: 0.2341, kb_relative_information_score: 342.3434, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7637, predictive_accuracy: 0.7859, prior_entropy: 0.7088, recall: 0.7859, relative_absolute_error: 0.8109, 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: 0.6768, f_measure: 0.7703, kappa: 0.2113, kb_relative_information_score: 124.7763, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7605, predictive_accuracy: 0.7923, prior_entropy: 0.7088, recall: 0.7923, relative_absolute_error: 0.8342, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3979, root_relative_squared_error: 1.0073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6549, f_measure: 0.7661, kappa: 0.2203, kb_relative_information_score: 169.8166, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7582, predictive_accuracy: 0.7769, prior_entropy: 0.7088, recall: 0.7769, relative_absolute_error: 0.8207, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4192, root_relative_squared_error: 1.0612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, f_measure: 0.7691, kappa: 0.2215, kb_relative_information_score: 257.8602, mean_absolute_error: 0.2561, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.76, predictive_accuracy: 0.7838, prior_entropy: 0.7088, recall: 0.7838, relative_absolute_error: 0.8205, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.408, root_relative_squared_error: 1.0327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.7588, kappa: 0.2049, kb_relative_information_score: 240.6749, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7525, predictive_accuracy: 0.7665, prior_entropy: 0.7088, recall: 0.7665, relative_absolute_error: 0.814, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4384, root_relative_squared_error: 1.1099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6823, f_measure: 0.7746, kappa: 0.2314, kb_relative_information_score: 246.0095, mean_absolute_error: 0.2577, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7654, predictive_accuracy: 0.7933, prior_entropy: 0.7088, recall: 0.7933, relative_absolute_error: 0.8257, 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: 0.6839, f_measure: 0.7719, kappa: 0.2138, kb_relative_information_score: 240.302, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7626, predictive_accuracy: 0.7956, prior_entropy: 0.7088, recall: 0.7956, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3951, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6696, f_measure: 0.7697, kappa: 0.2219, kb_relative_information_score: 280.4254, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7604, predictive_accuracy: 0.785, prior_entropy: 0.7088, recall: 0.785, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4079, root_relative_squared_error: 1.0325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.7606, kappa: 0.208, kb_relative_information_score: 118.6752, mean_absolute_error: 0.2559, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7537, predictive_accuracy: 0.7694, prior_entropy: 0.7088, recall: 0.7694, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4348, root_relative_squared_error: 1.1007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.7737, kappa: 0.2193, kb_relative_information_score: 196.4986, mean_absolute_error: 0.2612, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7648, predictive_accuracy: 0.7975, prior_entropy: 0.7088, recall: 0.7975, relative_absolute_error: 0.8369, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3923, root_relative_squared_error: 0.9932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7714, kappa: 0.2104, kb_relative_information_score: 213.0612, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7621, predictive_accuracy: 0.796, prior_entropy: 0.7088, recall: 0.796, relative_absolute_error: 0.8348, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3939, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.7688, kappa: 0.1944, kb_relative_information_score: 250.3603, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7604, predictive_accuracy: 0.7985, prior_entropy: 0.7088, recall: 0.7985, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3898, root_relative_squared_error: 0.9868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6583, f_measure: 0.7638, kappa: 0.2091, kb_relative_information_score: 145.232, mean_absolute_error: 0.2569, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7551, predictive_accuracy: 0.7763, prior_entropy: 0.7088, recall: 0.7763, relative_absolute_error: 0.8231, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4199, root_relative_squared_error: 1.0629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6917, f_measure: 0.7753, kappa: 0.2294, kb_relative_information_score: 237.132, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7663, predictive_accuracy: 0.7962, prior_entropy: 0.7088, recall: 0.7962, relative_absolute_error: 0.8298, 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: 0.6212, f_measure: 0.7594, kappa: 0.2142, kb_relative_information_score: 378.2776, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.755, predictive_accuracy: 0.7644, prior_entropy: 0.7088, recall: 0.7644, relative_absolute_error: 0.8057, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4563, root_relative_squared_error: 1.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.69, f_measure: 0.7758, kappa: 0.2309, kb_relative_information_score: 242.1787, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7669, predictive_accuracy: 0.7968, prior_entropy: 0.7088, recall: 0.7968, relative_absolute_error: 0.8298, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.7732, kappa: 0.222, kb_relative_information_score: 247.023, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7639, predictive_accuracy: 0.7945, prior_entropy: 0.7088, recall: 0.7945, relative_absolute_error: 0.8292, 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: 0.6626, f_measure: 0.7674, kappa: 0.2187, kb_relative_information_score: 210.3604, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7585, predictive_accuracy: 0.7808, prior_entropy: 0.7088, recall: 0.7808, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4139, root_relative_squared_error: 1.0478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.763, kappa: 0.208, kb_relative_information_score: 93.634, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7545, predictive_accuracy: 0.7748, prior_entropy: 0.7088, recall: 0.7748, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.415, root_relative_squared_error: 1.0505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6459, f_measure: 0.7613, kappa: 0.2106, kb_relative_information_score: 162.1289, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7545, predictive_accuracy: 0.7699, prior_entropy: 0.7088, recall: 0.7699, relative_absolute_error: 0.8189, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4289, root_relative_squared_error: 1.0858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.7684, kappa: 0.1957, kb_relative_information_score: 183.1634, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7591, predictive_accuracy: 0.7961, prior_entropy: 0.7088, recall: 0.7961, relative_absolute_error: 0.8377, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9934,

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