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: 0.6853, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.7591, kappa: 0.2057, kb_relative_information_score: 126.0206, mean_absolute_error: 0.2558, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7528, predictive_accuracy: 0.7667, prior_entropy: 0.7088, recall: 0.7667, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4416, root_relative_squared_error: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7724, kappa: 0.2155, kb_relative_information_score: 171.7383, mean_absolute_error: 0.2618, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7632, predictive_accuracy: 0.796, prior_entropy: 0.7088, recall: 0.796, relative_absolute_error: 0.8388, 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: 0.6885, f_measure: 0.7688, kappa: 0.1975, kb_relative_information_score: 194.3111, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7595, predictive_accuracy: 0.7961, prior_entropy: 0.7088, recall: 0.7961, relative_absolute_error: 0.8358, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7748, kappa: 0.2337, kb_relative_information_score: 251.9779, mean_absolute_error: 0.2575, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7657, predictive_accuracy: 0.7927, prior_entropy: 0.7088, recall: 0.7927, relative_absolute_error: 0.8249, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.397, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6523, f_measure: 0.7649, kappa: 0.2136, kb_relative_information_score: 219.0338, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7564, predictive_accuracy: 0.777, prior_entropy: 0.7088, recall: 0.777, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4245, root_relative_squared_error: 1.0746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.7683, kappa: 0.1948, kb_relative_information_score: 190.1986, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7592, predictive_accuracy: 0.7966, prior_entropy: 0.7088, recall: 0.7966, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.392, root_relative_squared_error: 0.9924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.7706, kappa: 0.2221, kb_relative_information_score: 242.7956, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7611, predictive_accuracy: 0.7873, prior_entropy: 0.7088, recall: 0.7873, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4049, root_relative_squared_error: 1.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.7697, kappa: 0.2226, kb_relative_information_score: 220.2952, mean_absolute_error: 0.2562, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7605, predictive_accuracy: 0.7847, prior_entropy: 0.7088, recall: 0.7847, relative_absolute_error: 0.8209, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4088, root_relative_squared_error: 1.0348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.7696, kappa: 0.1995, kb_relative_information_score: 181.5817, mean_absolute_error: 0.2611, 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: 0.8366, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6807, f_measure: 0.7715, kappa: 0.2232, kb_relative_information_score: 226.9981, mean_absolute_error: 0.258, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.762, predictive_accuracy: 0.7891, prior_entropy: 0.7088, recall: 0.7891, relative_absolute_error: 0.8265, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4005, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6731, f_measure: 0.7723, kappa: 0.2305, kb_relative_information_score: 327.8227, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7633, predictive_accuracy: 0.7876, prior_entropy: 0.7088, recall: 0.7876, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4065, root_relative_squared_error: 1.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6892, f_measure: 0.7752, kappa: 0.229, kb_relative_information_score: 235.0155, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7662, predictive_accuracy: 0.7963, prior_entropy: 0.7088, recall: 0.7963, relative_absolute_error: 0.8297, 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: 0.6667, f_measure: 0.7701, kappa: 0.2284, kb_relative_information_score: 272.2315, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7616, predictive_accuracy: 0.7832, prior_entropy: 0.7088, recall: 0.7832, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4088, root_relative_squared_error: 1.0349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6601, f_measure: 0.7636, kappa: 0.2097, kb_relative_information_score: 231.9779, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7551, predictive_accuracy: 0.7756, prior_entropy: 0.7088, recall: 0.7756, relative_absolute_error: 0.8172, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4183, root_relative_squared_error: 1.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6882, f_measure: 0.7696, kappa: 0.1997, kb_relative_information_score: 191.2482, mean_absolute_error: 0.2609, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7608, predictive_accuracy: 0.7974, prior_entropy: 0.7088, recall: 0.7974, relative_absolute_error: 0.8359, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3931, root_relative_squared_error: 0.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6881, f_measure: 0.7691, kappa: 0.1967, kb_relative_information_score: 167.8251, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7603, predictive_accuracy: 0.7977, prior_entropy: 0.7088, recall: 0.7977, relative_absolute_error: 0.8393, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3924, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.7706, kappa: 0.2085, kb_relative_information_score: 209.3141, mean_absolute_error: 0.2603, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.761, predictive_accuracy: 0.7947, prior_entropy: 0.7088, recall: 0.7947, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7732, kappa: 0.2151, kb_relative_information_score: 228.9249, mean_absolute_error: 0.2616, 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: 0.8382, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.389, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.7706, kappa: 0.2278, kb_relative_information_score: 286.0203, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7618, predictive_accuracy: 0.7847, prior_entropy: 0.7088, recall: 0.7847, relative_absolute_error: 0.8144, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.412, root_relative_squared_error: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6283, f_measure: 0.7623, kappa: 0.2162, kb_relative_information_score: 349.9494, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7561, predictive_accuracy: 0.77, prior_entropy: 0.7088, recall: 0.77, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4463, root_relative_squared_error: 1.1299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7723, kappa: 0.2176, kb_relative_information_score: 171.3323, mean_absolute_error: 0.2607, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7628, predictive_accuracy: 0.7943, prior_entropy: 0.7088, recall: 0.7943, relative_absolute_error: 0.8353, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3945, root_relative_squared_error: 0.9987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.686, f_measure: 0.7711, kappa: 0.2097, kb_relative_information_score: 201.5128, mean_absolute_error: 0.2606, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7617, predictive_accuracy: 0.7956, prior_entropy: 0.7088, recall: 0.7956, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.9977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6613, f_measure: 0.7652, kappa: 0.2162, kb_relative_information_score: 179.0509, mean_absolute_error: 0.2564, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.757, predictive_accuracy: 0.7766, prior_entropy: 0.7088, recall: 0.7766, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4139, root_relative_squared_error: 1.0479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.7666, kappa: 0.2196, kb_relative_information_score: 242.1785, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7583, predictive_accuracy: 0.7784, prior_entropy: 0.7088, recall: 0.7784, relative_absolute_error: 0.8155, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4184, root_relative_squared_error: 1.0593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.7707, kappa: 0.22, kb_relative_information_score: 71.1, mean_absolute_error: 0.2601, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7611, predictive_accuracy: 0.7886, prior_entropy: 0.7088, recall: 0.7886, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4023, root_relative_squared_error: 1.0183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6521, f_measure: 0.7596, kappa: 0.2042, kb_relative_information_score: 184.657, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7525, predictive_accuracy: 0.7685, prior_entropy: 0.7088, recall: 0.7685, relative_absolute_error: 0.8179, 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: 0.6913, f_measure: 0.774, kappa: 0.2249, kb_relative_information_score: 219.4067, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7647, predictive_accuracy: 0.7949, prior_entropy: 0.7088, recall: 0.7949, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6445, f_measure: 0.7607, kappa: 0.2068, kb_relative_information_score: 149.2965, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7535, predictive_accuracy: 0.77, prior_entropy: 0.7088, recall: 0.77, relative_absolute_error: 0.8193, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4296, root_relative_squared_error: 1.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.62, f_measure: 0.7549, kappa: 0.1978, kb_relative_information_score: 220.3714, mean_absolute_error: 0.2551, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.75, predictive_accuracy: 0.7606, prior_entropy: 0.7088, recall: 0.7606, relative_absolute_error: 0.8174, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4533, root_relative_squared_error: 1.1476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.7689, kappa: 0.2259, kb_relative_information_score: 238.38, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7605, predictive_accuracy: 0.7814, prior_entropy: 0.7088, recall: 0.7814, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4116, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.7595, kappa: 0.2057, kb_relative_information_score: 54.1594, mean_absolute_error: 0.2574, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7529, predictive_accuracy: 0.7678, prior_entropy: 0.7088, recall: 0.7678, relative_absolute_error: 0.8246, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4254, root_relative_squared_error: 1.0768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.7735, kappa: 0.2285, kb_relative_information_score: 243.0085, mean_absolute_error: 0.2579, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7641, predictive_accuracy: 0.7916, prior_entropy: 0.7088, recall: 0.7916, relative_absolute_error: 0.8263, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3975, root_relative_squared_error: 1.0062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.77, kappa: 0.2275, kb_relative_information_score: 282.7979, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7614, predictive_accuracy: 0.7832, prior_entropy: 0.7088, recall: 0.7832, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4088, root_relative_squared_error: 1.0348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6432, f_measure: 0.7611, kappa: 0.2086, kb_relative_information_score: 126.0345, mean_absolute_error: 0.2563, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.754, predictive_accuracy: 0.7701, prior_entropy: 0.7088, recall: 0.7701, relative_absolute_error: 0.8213, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4311, root_relative_squared_error: 1.0914,

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