OpenML
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
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20384 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9143, f_measure: 0.89, kappa: 0.8336, kb_relative_information_score: 0.8437, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8905, predictive_accuracy: 0.8906, prior_entropy: 1.7146, recall: 0.8906, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9141, kappa: 0.8702, kb_relative_information_score: 0.8794, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9142, predictive_accuracy: 0.9142, prior_entropy: 1.7146, recall: 0.9142, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.9172, kappa: 0.8748, kb_relative_information_score: 0.8831, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9173, predictive_accuracy: 0.9173, prior_entropy: 1.7146, recall: 0.9173, relative_absolute_error: 0.1248, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2033, root_relative_squared_error: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9104, kappa: 0.8645, kb_relative_information_score: 0.874, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9105, predictive_accuracy: 0.9106, prior_entropy: 1.7146, recall: 0.9106, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.5197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9168, f_measure: 0.8929, kappa: 0.8379, kb_relative_information_score: 0.8477, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8932, predictive_accuracy: 0.8933, prior_entropy: 1.7146, recall: 0.8933, relative_absolute_error: 0.161, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2309, root_relative_squared_error: 0.5675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.8912, kappa: 0.8352, kb_relative_information_score: 0.8452, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8918, predictive_accuracy: 0.8917, prior_entropy: 1.7146, recall: 0.8917, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9144, kappa: 0.8706, kb_relative_information_score: 0.8791, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9145, predictive_accuracy: 0.9146, prior_entropy: 1.7146, recall: 0.9146, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9144, kappa: 0.8706, kb_relative_information_score: 0.8788, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9146, predictive_accuracy: 0.9146, prior_entropy: 1.7146, recall: 0.9146, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.9137, kappa: 0.8695, kb_relative_information_score: 0.8783, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9139, predictive_accuracy: 0.9139, prior_entropy: 1.7146, recall: 0.9139, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8897, f_measure: 0.8443, kappa: 0.7512, kb_relative_information_score: 0.7692, mean_absolute_error: 0.0855, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8777, predictive_accuracy: 0.829, prior_entropy: 1.7146, recall: 0.829, relative_absolute_error: 0.2581, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.7185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9155, kappa: 0.8723, kb_relative_information_score: 0.8812, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9156, predictive_accuracy: 0.9157, prior_entropy: 1.7146, recall: 0.9157, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.932, f_measure: 0.9123, kappa: 0.8674, kb_relative_information_score: 0.8756, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9125, predictive_accuracy: 0.9126, prior_entropy: 1.7146, recall: 0.9126, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.8512, kappa: 0.7624, kb_relative_information_score: 0.7817, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8829, predictive_accuracy: 0.8367, prior_entropy: 1.7146, recall: 0.8367, relative_absolute_error: 0.2465, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2858, root_relative_squared_error: 0.7022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9131, kappa: 0.8687, kb_relative_information_score: 0.8774, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9133, predictive_accuracy: 0.9133, prior_entropy: 1.7146, recall: 0.9133, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9142, kappa: 0.8704, kb_relative_information_score: 0.8789, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9143, predictive_accuracy: 0.9144, prior_entropy: 1.7146, recall: 0.9144, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9127, f_measure: 0.8858, kappa: 0.8278, kb_relative_information_score: 0.8396, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8858, predictive_accuracy: 0.8864, prior_entropy: 1.7146, recall: 0.8864, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2384, root_relative_squared_error: 0.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9344, f_measure: 0.9152, kappa: 0.8717, kb_relative_information_score: 0.8805, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9152, predictive_accuracy: 0.9153, prior_entropy: 1.7146, recall: 0.9153, relative_absolute_error: 0.1278, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.5056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9155, f_measure: 0.8918, kappa: 0.8362, kb_relative_information_score: 0.8454, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8925, predictive_accuracy: 0.8924, prior_entropy: 1.7146, recall: 0.8924, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2319, root_relative_squared_error: 0.5699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.823, kappa: 0.728, kb_relative_information_score: 0.7485, mean_absolute_error: 0.0923, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8434, predictive_accuracy: 0.8154, prior_entropy: 1.7146, recall: 0.8154, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3038, root_relative_squared_error: 0.7465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.8039, kappa: 0.6882, kb_relative_information_score: 0.712, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8512, predictive_accuracy: 0.7821, prior_entropy: 1.7146, recall: 0.7821, relative_absolute_error: 0.329, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3301, root_relative_squared_error: 0.8112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.8913, kappa: 0.8355, kb_relative_information_score: 0.8448, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8918, predictive_accuracy: 0.8919, prior_entropy: 1.7146, recall: 0.8919, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2325, root_relative_squared_error: 0.5714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9341, f_measure: 0.9144, kappa: 0.8707, kb_relative_information_score: 0.8795, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9145, predictive_accuracy: 0.9146, prior_entropy: 1.7146, recall: 0.9146, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.8913, kappa: 0.8356, kb_relative_information_score: 0.8466, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8916, predictive_accuracy: 0.8917, prior_entropy: 1.7146, recall: 0.8917, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9122, kappa: 0.8674, kb_relative_information_score: 0.8766, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9123, predictive_accuracy: 0.9124, prior_entropy: 1.7146, recall: 0.9124, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.5143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.9099, kappa: 0.8638, kb_relative_information_score: 0.8726, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9103, predictive_accuracy: 0.9102, prior_entropy: 1.7146, recall: 0.9102, relative_absolute_error: 0.1356, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2119, root_relative_squared_error: 0.5207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8879, kappa: 0.831, kb_relative_information_score: 0.8432, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.888, predictive_accuracy: 0.8884, prior_entropy: 1.7146, recall: 0.8884, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2362, root_relative_squared_error: 0.5805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9147, kappa: 0.8711, kb_relative_information_score: 0.8792, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.915, predictive_accuracy: 0.915, prior_entropy: 1.7146, recall: 0.915, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9142, kappa: 0.8704, kb_relative_information_score: 0.8794, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9143, predictive_accuracy: 0.9144, prior_entropy: 1.7146, recall: 0.9144, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9167, f_measure: 0.8916, kappa: 0.8363, kb_relative_information_score: 0.8467, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8917, predictive_accuracy: 0.892, prior_entropy: 1.7146, recall: 0.892, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2323, root_relative_squared_error: 0.5709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9323, f_measure: 0.9123, kappa: 0.8676, kb_relative_information_score: 0.8762, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9125, predictive_accuracy: 0.9126, prior_entropy: 1.7146, recall: 0.9126, relative_absolute_error: 0.132, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2091, root_relative_squared_error: 0.5138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9133, kappa: 0.8689, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9134, predictive_accuracy: 0.9135, prior_entropy: 1.7146, recall: 0.9135, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.208, root_relative_squared_error: 0.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9148, kappa: 0.8713, kb_relative_information_score: 0.8806, mean_absolute_error: 0.0425, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9149, predictive_accuracy: 0.915, prior_entropy: 1.7146, recall: 0.915, relative_absolute_error: 0.1284, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.5067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9139, kappa: 0.8699, kb_relative_information_score: 0.8794, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.914, predictive_accuracy: 0.914, prior_entropy: 1.7146, recall: 0.914, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9103, kappa: 0.8645, kb_relative_information_score: 0.8732, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9105, predictive_accuracy: 0.9106, prior_entropy: 1.7146, recall: 0.9106, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.5197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9133, f_measure: 0.8887, kappa: 0.8316, kb_relative_information_score: 0.8415, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8892, predictive_accuracy: 0.8893, prior_entropy: 1.7146, recall: 0.8893, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.5781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9332, f_measure: 0.9135, kappa: 0.8693, kb_relative_information_score: 0.8786, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9136, predictive_accuracy: 0.9137, prior_entropy: 1.7146, recall: 0.9137, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.784, kappa: 0.6405, kb_relative_information_score: 0.6597, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8696, predictive_accuracy: 0.7425, prior_entropy: 1.7146, recall: 0.7425, relative_absolute_error: 0.3887, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.8818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.8847, kappa: 0.8261, kb_relative_information_score: 0.8378, mean_absolute_error: 0.0575, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8846, predictive_accuracy: 0.8851, prior_entropy: 1.7146, recall: 0.8851, relative_absolute_error: 0.1735, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2397, root_relative_squared_error: 0.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.9122, kappa: 0.8673, kb_relative_information_score: 0.8757, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9123, predictive_accuracy: 0.9124, prior_entropy: 1.7146, recall: 0.9124, relative_absolute_error: 0.1322, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.5143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9142, f_measure: 0.8886, kappa: 0.8316, kb_relative_information_score: 0.8435, mean_absolute_error: 0.0555, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8887, predictive_accuracy: 0.8889, prior_entropy: 1.7146, recall: 0.8889, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.5791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.913, f_measure: 0.8881, kappa: 0.8308, kb_relative_information_score: 0.841, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8886, predictive_accuracy: 0.8887, prior_entropy: 1.7146, recall: 0.8887, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.5796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.931, f_measure: 0.9104, kappa: 0.8646, kb_relative_information_score: 0.8744, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9104, predictive_accuracy: 0.9106, prior_entropy: 1.7146, recall: 0.9106, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.5197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9107, kappa: 0.865, kb_relative_information_score: 0.8737, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9109, predictive_accuracy: 0.9109, prior_entropy: 1.7146, recall: 0.9109, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.211, root_relative_squared_error: 0.5186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8661, f_measure: 0.8097, kappa: 0.6999, kb_relative_information_score: 0.7228, mean_absolute_error: 0.1043, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8501, predictive_accuracy: 0.7914, prior_entropy: 1.7146, recall: 0.7914, relative_absolute_error: 0.3148, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.7936,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9147, f_measure: 0.8906, kappa: 0.8344, kb_relative_information_score: 0.8435, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8911, predictive_accuracy: 0.8911, prior_entropy: 1.7146, recall: 0.8911, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9331, f_measure: 0.914, kappa: 0.8699, kb_relative_information_score: 0.8781, mean_absolute_error: 0.0429, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9143, predictive_accuracy: 0.9142, prior_entropy: 1.7146, recall: 0.9142, relative_absolute_error: 0.1295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.5089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.7983, kappa: 0.6815, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1113, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8445, predictive_accuracy: 0.7775, prior_entropy: 1.7146, recall: 0.7775, relative_absolute_error: 0.3359, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3335, root_relative_squared_error: 0.8196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8709, f_measure: 0.817, kappa: 0.7106, kb_relative_information_score: 0.7343, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8563, predictive_accuracy: 0.7991, prior_entropy: 1.7146, recall: 0.7991, relative_absolute_error: 0.3032, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3169, root_relative_squared_error: 0.7788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9329, f_measure: 0.9132, kappa: 0.8687, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9133, predictive_accuracy: 0.9133, prior_entropy: 1.7146, recall: 0.9133, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9334, f_measure: 0.9135, kappa: 0.8693, kb_relative_information_score: 0.8779, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9136, predictive_accuracy: 0.9137, prior_entropy: 1.7146, recall: 0.9137, relative_absolute_error: 0.1303, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.5105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9308, f_measure: 0.9103, kappa: 0.8645, kb_relative_information_score: 0.8741, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9105, predictive_accuracy: 0.9106, prior_entropy: 1.7146, recall: 0.9106, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.5197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.89, kappa: 0.8336, kb_relative_information_score: 0.8434, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8905, predictive_accuracy: 0.8906, prior_entropy: 1.7146, recall: 0.8906, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9144, kappa: 0.8705, kb_relative_information_score: 0.8785, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9146, predictive_accuracy: 0.9146, prior_entropy: 1.7146, recall: 0.9146, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.9117, kappa: 0.8664, kb_relative_information_score: 0.8752, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9119, predictive_accuracy: 0.9118, prior_entropy: 1.7146, recall: 0.9118, relative_absolute_error: 0.1331, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.21, root_relative_squared_error: 0.5159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9139, kappa: 0.8699, kb_relative_information_score: 0.8791, mean_absolute_error: 0.043, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.914, predictive_accuracy: 0.914, prior_entropy: 1.7146, recall: 0.914, relative_absolute_error: 0.1298, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.5094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.8138, kappa: 0.7065, kb_relative_information_score: 0.728, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8515, predictive_accuracy: 0.7969, prior_entropy: 1.7146, recall: 0.7969, relative_absolute_error: 0.3065, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3187, root_relative_squared_error: 0.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8793, f_measure: 0.8291, kappa: 0.735, kb_relative_information_score: 0.7555, mean_absolute_error: 0.0906, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8542, predictive_accuracy: 0.8187, prior_entropy: 1.7146, recall: 0.8187, relative_absolute_error: 0.2736, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.7398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.881, f_measure: 0.8326, kappa: 0.7398, kb_relative_information_score: 0.758, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8565, predictive_accuracy: 0.8226, prior_entropy: 1.7146, recall: 0.8226, relative_absolute_error: 0.2678, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.7319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8256, kappa: 0.7289, kb_relative_information_score: 0.7425, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8454, predictive_accuracy: 0.8165, prior_entropy: 1.7146, recall: 0.8165, relative_absolute_error: 0.2769, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3029, root_relative_squared_error: 0.7443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9148, f_measure: 0.8905, kappa: 0.8344, kb_relative_information_score: 0.8446, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.891, predictive_accuracy: 0.8911, prior_entropy: 1.7146, recall: 0.8911, relative_absolute_error: 0.1643, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.5733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9142, kappa: 0.8704, kb_relative_information_score: 0.8796, mean_absolute_error: 0.0428, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9144, predictive_accuracy: 0.9144, prior_entropy: 1.7146, recall: 0.9144, relative_absolute_error: 0.1292, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2069, root_relative_squared_error: 0.5084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9141, f_measure: 0.8892, kappa: 0.8324, kb_relative_information_score: 0.8427, mean_absolute_error: 0.0552, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8894, predictive_accuracy: 0.8897, prior_entropy: 1.7146, recall: 0.8897, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.5772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9137, kappa: 0.8695, kb_relative_information_score: 0.8782, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9138, predictive_accuracy: 0.9139, prior_entropy: 1.7146, recall: 0.9139, relative_absolute_error: 0.13, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2075, root_relative_squared_error: 0.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8168, f_measure: 0.7401, kappa: 0.5797, kb_relative_information_score: 0.6011, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8396, predictive_accuracy: 0.6937, prior_entropy: 1.7146, recall: 0.6937, relative_absolute_error: 0.4623, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.9616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9103, kappa: 0.8646, kb_relative_information_score: 0.8742, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9104, predictive_accuracy: 0.9106, prior_entropy: 1.7146, recall: 0.9106, relative_absolute_error: 0.135, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.5197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.9153, kappa: 0.872, kb_relative_information_score: 0.8799, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9155, predictive_accuracy: 0.9155, prior_entropy: 1.7146, recall: 0.9155, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2055, root_relative_squared_error: 0.5051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9151, f_measure: 0.8909, kappa: 0.8347, kb_relative_information_score: 0.8441, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8913, predictive_accuracy: 0.8913, prior_entropy: 1.7146, recall: 0.8913, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9144, f_measure: 0.8901, kappa: 0.8336, kb_relative_information_score: 0.8435, mean_absolute_error: 0.0547, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8906, predictive_accuracy: 0.8906, prior_entropy: 1.7146, recall: 0.8906, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2339, root_relative_squared_error: 0.5748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.9131, kappa: 0.8687, kb_relative_information_score: 0.8776, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9133, predictive_accuracy: 0.9133, prior_entropy: 1.7146, recall: 0.9133, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.934, f_measure: 0.9146, kappa: 0.8709, kb_relative_information_score: 0.8797, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9147, predictive_accuracy: 0.9148, prior_entropy: 1.7146, recall: 0.9148, relative_absolute_error: 0.1286, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.5073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.912, kappa: 0.8669, kb_relative_information_score: 0.8752, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9122, predictive_accuracy: 0.9122, prior_entropy: 1.7146, recall: 0.9122, relative_absolute_error: 0.1325, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2095, root_relative_squared_error: 0.5149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9107, f_measure: 0.8824, kappa: 0.8227, kb_relative_information_score: 0.8338, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8824, predictive_accuracy: 0.8829, prior_entropy: 1.7146, recall: 0.8829, relative_absolute_error: 0.1768, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.242, root_relative_squared_error: 0.5947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9315, f_measure: 0.9119, kappa: 0.8666, kb_relative_information_score: 0.875, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9121, predictive_accuracy: 0.912, prior_entropy: 1.7146, recall: 0.912, relative_absolute_error: 0.1328, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.5154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9131, kappa: 0.8686, kb_relative_information_score: 0.8771, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9133, predictive_accuracy: 0.9133, prior_entropy: 1.7146, recall: 0.9133, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9292, f_measure: 0.9088, kappa: 0.8621, kb_relative_information_score: 0.8703, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9091, predictive_accuracy: 0.9091, prior_entropy: 1.7146, recall: 0.9091, relative_absolute_error: 0.1372, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2132, root_relative_squared_error: 0.5239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.9115, kappa: 0.8663, kb_relative_information_score: 0.8753, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9116, predictive_accuracy: 0.9117, prior_entropy: 1.7146, recall: 0.9117, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2102, root_relative_squared_error: 0.5165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9126, kappa: 0.8679, kb_relative_information_score: 0.8777, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9127, predictive_accuracy: 0.9128, prior_entropy: 1.7146, recall: 0.9128, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2089, root_relative_squared_error: 0.5132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9175, f_measure: 0.8944, kappa: 0.84, kb_relative_information_score: 0.8496, mean_absolute_error: 0.0526, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8949, predictive_accuracy: 0.8948, prior_entropy: 1.7146, recall: 0.8948, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2294, root_relative_squared_error: 0.5636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.843, f_measure: 0.7776, kappa: 0.6429, kb_relative_information_score: 0.6662, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8438, predictive_accuracy: 0.7467, prior_entropy: 1.7146, recall: 0.7467, relative_absolute_error: 0.3824, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.8745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9338, f_measure: 0.9144, kappa: 0.8706, kb_relative_information_score: 0.8786, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9145, predictive_accuracy: 0.9146, prior_entropy: 1.7146, recall: 0.9146, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.5078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9132, f_measure: 0.8887, kappa: 0.8315, kb_relative_information_score: 0.8408, mean_absolute_error: 0.0554, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8893, predictive_accuracy: 0.8893, prior_entropy: 1.7146, recall: 0.8893, relative_absolute_error: 0.1671, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2353, root_relative_squared_error: 0.5781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9345, f_measure: 0.9155, kappa: 0.8723, kb_relative_information_score: 0.8808, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9156, predictive_accuracy: 0.9157, prior_entropy: 1.7146, recall: 0.9157, relative_absolute_error: 0.1273, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.5045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.9107, kappa: 0.865, kb_relative_information_score: 0.874, mean_absolute_error: 0.0445, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9109, predictive_accuracy: 0.9109, prior_entropy: 1.7146, recall: 0.9109, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.211, root_relative_squared_error: 0.5186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9765, kappa: 0.9646, kb_relative_information_score: 0.9442, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 1.7146, recall: 0.9765, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.2244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9722, kappa: 0.958, kb_relative_information_score: 0.9587, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9723, predictive_accuracy: 0.9721, prior_entropy: 1.7146, recall: 0.9721, relative_absolute_error: 0.0485, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1116, root_relative_squared_error: 0.2741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 0.9929, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7146, recall: 0.9958, relative_absolute_error: 0.0072, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0439, root_relative_squared_error: 0.1079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9804, kappa: 0.9704, kb_relative_information_score: 0.9729, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9804, predictive_accuracy: 0.9804, prior_entropy: 1.7146, recall: 0.9804, relative_absolute_error: 0.0297, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0921, root_relative_squared_error: 0.2264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 0.9959, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7146, recall: 0.9978, relative_absolute_error: 0.0054, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0287, root_relative_squared_error: 0.0706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9811, kappa: 0.9715, kb_relative_information_score: 0.9732, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 1.7146, recall: 0.9811, relative_absolute_error: 0.0294, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.2256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9564, kappa: 0.934, kb_relative_information_score: 0.7165, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9573, predictive_accuracy: 0.9566, prior_entropy: 1.7146, recall: 0.9566, relative_absolute_error: 0.4012, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1915, root_relative_squared_error: 0.4705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8979, kappa: 0.8465, kb_relative_information_score: 0.7711, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9008, predictive_accuracy: 0.8974, prior_entropy: 1.7146, recall: 0.8974, relative_absolute_error: 0.3143, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9916, kappa: 0.9873, kb_relative_information_score: 0.9869, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9916, predictive_accuracy: 0.9916, prior_entropy: 1.7146, recall: 0.9916, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0606, root_relative_squared_error: 0.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9901, kappa: 0.985, kb_relative_information_score: 0.9801, mean_absolute_error: 0.0089, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9901, predictive_accuracy: 0.9901, prior_entropy: 1.7146, recall: 0.9901, relative_absolute_error: 0.0267, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, kappa: -0.0005, kb_relative_information_score: 0.0769, mean_absolute_error: 0.3263, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, predictive_accuracy: 0.3473, prior_entropy: 1.7146, recall: 0.3473, relative_absolute_error: 0.9852, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.5713, root_relative_squared_error: 1.4038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9972, kappa: 0.9958, kb_relative_information_score: 0.9948, mean_absolute_error: 0.0019, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9973, predictive_accuracy: 0.9973, prior_entropy: 1.7146, recall: 0.9973, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0346, root_relative_squared_error: 0.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 0.9967, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7146, recall: 0.9978, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0316, root_relative_squared_error: 0.0776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9769, kappa: 0.9651, kb_relative_information_score: 0.9656, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9769, predictive_accuracy: 0.9769, prior_entropy: 1.7146, recall: 0.9769, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.087, root_relative_squared_error: 0.2137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 0.9946, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7146, recall: 0.998, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0292, root_relative_squared_error: 0.0718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 0.9932, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7146, recall: 0.9956, relative_absolute_error: 0.0067, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.1127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9808, kappa: 0.9709, kb_relative_information_score: 0.9732, mean_absolute_error: 0.0098, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9808, predictive_accuracy: 0.9808, prior_entropy: 1.7146, recall: 0.9808, relative_absolute_error: 0.0295, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.2265,

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