OpenML
Supervised Classification on cjs

Supervised Classification on cjs

Task 14967 Supervised Classification cjs 10700 runs submitted
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  • OpenML100 study_107 study_123 study_14
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10700 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.8405, kappa: 0.8043, kb_relative_information_score: 2249.3812, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8419, predictive_accuracy: 0.8398, prior_entropy: 2.5207, recall: 0.8398, relative_absolute_error: 0.2248, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.181, root_relative_squared_error: 0.4901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8415, kappa: 0.804, kb_relative_information_score: 2274.0013, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8466, predictive_accuracy: 0.8394, prior_entropy: 2.5207, recall: 0.8394, relative_absolute_error: 0.2179, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8909, kappa: 0.866, kb_relative_information_score: 2404.544, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8919, predictive_accuracy: 0.8902, prior_entropy: 2.5207, recall: 0.8902, relative_absolute_error: 0.1653, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.4344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8869, kappa: 0.8614, kb_relative_information_score: 2417.514, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8881, predictive_accuracy: 0.8866, prior_entropy: 2.5207, recall: 0.8866, relative_absolute_error: 0.1603, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.9275, kappa: 0.9113, kb_relative_information_score: 2566.7451, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9278, predictive_accuracy: 0.9274, prior_entropy: 2.5207, recall: 0.9274, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.139, root_relative_squared_error: 0.3763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9224, kappa: 0.9052, kb_relative_information_score: 2540.7627, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9225, predictive_accuracy: 0.9224, prior_entropy: 2.5207, recall: 0.9224, relative_absolute_error: 0.1039, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1357, root_relative_squared_error: 0.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8514, kappa: 0.8179, kb_relative_information_score: 2311.3374, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8525, predictive_accuracy: 0.8509, prior_entropy: 2.5207, recall: 0.8509, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8409, kappa: 0.8052, kb_relative_information_score: 2273.2262, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8428, predictive_accuracy: 0.8405, prior_entropy: 2.5207, recall: 0.8405, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.4876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8797, kappa: 0.8519, kb_relative_information_score: 2372.4293, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8826, predictive_accuracy: 0.8788, prior_entropy: 2.5207, recall: 0.8788, relative_absolute_error: 0.1767, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.4399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.8877, kappa: 0.8623, kb_relative_information_score: 2437.5807, mean_absolute_error: 0.0413, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8887, predictive_accuracy: 0.8873, prior_entropy: 2.5207, recall: 0.8873, relative_absolute_error: 0.1514, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8535, kappa: 0.8201, kb_relative_information_score: 2303.7886, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8551, predictive_accuracy: 0.8526, prior_entropy: 2.5207, recall: 0.8526, relative_absolute_error: 0.209, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.4802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8996, kappa: 0.8769, kb_relative_information_score: 2442.8816, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9005, predictive_accuracy: 0.8991, prior_entropy: 2.5207, recall: 0.8991, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.8869, kappa: 0.8619, kb_relative_information_score: 2427.2845, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8872, predictive_accuracy: 0.887, prior_entropy: 2.5207, recall: 0.887, relative_absolute_error: 0.1535, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1572, root_relative_squared_error: 0.4256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.8363, kappa: 0.7993, kb_relative_information_score: 2231.7665, mean_absolute_error: 0.0651, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8391, predictive_accuracy: 0.8355, prior_entropy: 2.5207, recall: 0.8355, relative_absolute_error: 0.2385, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1878, root_relative_squared_error: 0.5083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.9197, kappa: 0.902, kb_relative_information_score: 2535.8509, mean_absolute_error: 0.0296, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9198, predictive_accuracy: 0.9199, prior_entropy: 2.5207, recall: 0.9199, relative_absolute_error: 0.1085, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1383, root_relative_squared_error: 0.3744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8484, kappa: 0.8147, kb_relative_information_score: 2289.3874, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8487, predictive_accuracy: 0.8484, prior_entropy: 2.5207, recall: 0.8484, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8781, kappa: 0.8499, kb_relative_information_score: 2393.6148, mean_absolute_error: 0.0469, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8804, predictive_accuracy: 0.877, prior_entropy: 2.5207, recall: 0.877, relative_absolute_error: 0.1717, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1638, root_relative_squared_error: 0.4435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9053, kappa: 0.8835, kb_relative_information_score: 2485.1598, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9065, predictive_accuracy: 0.9045, prior_entropy: 2.5207, recall: 0.9045, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.147, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.9497, kappa: 0.9384, kb_relative_information_score: 2623.4246, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9501, predictive_accuracy: 0.9496, prior_entropy: 2.5207, recall: 0.9496, relative_absolute_error: 0.0721, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1191, root_relative_squared_error: 0.3226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8712, kappa: 0.8419, kb_relative_information_score: 2357.4953, mean_absolute_error: 0.0505, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8731, predictive_accuracy: 0.8705, prior_entropy: 2.5207, recall: 0.8705, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1689, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8857, kappa: 0.8602, kb_relative_information_score: 2406.7097, mean_absolute_error: 0.0441, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.886, predictive_accuracy: 0.8856, prior_entropy: 2.5207, recall: 0.8856, relative_absolute_error: 0.1617, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.973, f_measure: 0.8283, kappa: 0.7891, kb_relative_information_score: 2221.0572, mean_absolute_error: 0.0663, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8304, predictive_accuracy: 0.8273, prior_entropy: 2.5207, recall: 0.8273, relative_absolute_error: 0.2428, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1883, root_relative_squared_error: 0.5099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9191, kappa: 0.9012, kb_relative_information_score: 2530.7023, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9194, predictive_accuracy: 0.9192, prior_entropy: 2.5207, recall: 0.9192, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1386, root_relative_squared_error: 0.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9155, kappa: 0.8972, kb_relative_information_score: 2530.5602, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9157, predictive_accuracy: 0.916, prior_entropy: 2.5207, recall: 0.916, relative_absolute_error: 0.1113, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9256, kappa: 0.9087, kb_relative_information_score: 2544.3604, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9263, predictive_accuracy: 0.9253, prior_entropy: 2.5207, recall: 0.9253, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1317, root_relative_squared_error: 0.3566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9374, kappa: 0.9235, kb_relative_information_score: 2581.2702, mean_absolute_error: 0.0238, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9379, predictive_accuracy: 0.9374, prior_entropy: 2.5207, recall: 0.9374, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.3429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.981, f_measure: 0.9331, kappa: 0.9183, kb_relative_information_score: 2587.2483, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9335, predictive_accuracy: 0.9331, prior_entropy: 2.5207, recall: 0.9331, relative_absolute_error: 0.0852, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1258, root_relative_squared_error: 0.3404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9262, kappa: 0.91, kb_relative_information_score: 2559.551, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9263, predictive_accuracy: 0.9263, prior_entropy: 2.5207, recall: 0.9263, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1328, root_relative_squared_error: 0.3596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9707, kappa: 0.9642, kb_relative_information_score: 2700.1406, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9707, predictive_accuracy: 0.9707, prior_entropy: 2.5207, recall: 0.9707, relative_absolute_error: 0.0363, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.099, root_relative_squared_error: 0.2681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.927, kappa: 0.9109, kb_relative_information_score: 2548.0426, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9273, predictive_accuracy: 0.927, prior_entropy: 2.5207, recall: 0.927, relative_absolute_error: 0.1035, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1353, root_relative_squared_error: 0.3663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8968, kappa: 0.873, kb_relative_information_score: 2438.3165, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8986, predictive_accuracy: 0.8959, prior_entropy: 2.5207, recall: 0.8959, relative_absolute_error: 0.1499, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8431, kappa: 0.807, kb_relative_information_score: 2270.5899, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8452, predictive_accuracy: 0.8419, prior_entropy: 2.5207, recall: 0.8419, relative_absolute_error: 0.2215, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1796, root_relative_squared_error: 0.4863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9054, kappa: 0.8839, kb_relative_information_score: 2487.4057, mean_absolute_error: 0.0351, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9062, predictive_accuracy: 0.9049, prior_entropy: 2.5207, recall: 0.9049, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8865, kappa: 0.861, kb_relative_information_score: 2417.7158, mean_absolute_error: 0.0438, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8878, predictive_accuracy: 0.8863, prior_entropy: 2.5207, recall: 0.8863, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1591, root_relative_squared_error: 0.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9391, kappa: 0.9257, kb_relative_information_score: 2599.356, mean_absolute_error: 0.0215, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9392, predictive_accuracy: 0.9392, prior_entropy: 2.5207, recall: 0.9392, relative_absolute_error: 0.0789, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.123, root_relative_squared_error: 0.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9278, kappa: 0.9118, kb_relative_information_score: 2567.0943, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.928, predictive_accuracy: 0.9278, prior_entropy: 2.5207, recall: 0.9278, relative_absolute_error: 0.0933, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8788, kappa: 0.8507, kb_relative_information_score: 2394.3855, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8811, predictive_accuracy: 0.8777, prior_entropy: 2.5207, recall: 0.8777, relative_absolute_error: 0.1715, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.4429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9026, kappa: 0.881, kb_relative_information_score: 2476.6262, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.903, predictive_accuracy: 0.9027, prior_entropy: 2.5207, recall: 0.9027, relative_absolute_error: 0.1346, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1487, root_relative_squared_error: 0.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8785, kappa: 0.851, kb_relative_information_score: 2373.7422, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.88, predictive_accuracy: 0.878, prior_entropy: 2.5207, recall: 0.878, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.4392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8372, kappa: 0.8026, kb_relative_information_score: 2252.3019, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8365, predictive_accuracy: 0.8387, prior_entropy: 2.5207, recall: 0.8387, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.8409, kappa: 0.8052, kb_relative_information_score: 2273.2262, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8428, predictive_accuracy: 0.8405, prior_entropy: 2.5207, recall: 0.8405, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1801, root_relative_squared_error: 0.4876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9692, f_measure: 0.9456, kappa: 0.9336, kb_relative_information_score: 2620.4477, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9457, predictive_accuracy: 0.9456, prior_entropy: 2.5207, recall: 0.9456, relative_absolute_error: 0.0661, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8346, kappa: 0.7967, kb_relative_information_score: 2245.4881, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8378, predictive_accuracy: 0.8333, prior_entropy: 2.5207, recall: 0.8333, relative_absolute_error: 0.2312, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9184, kappa: 0.9003, kb_relative_information_score: 2530.2145, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9186, predictive_accuracy: 0.9185, prior_entropy: 2.5207, recall: 0.9185, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9819, f_measure: 0.8532, kappa: 0.82, kb_relative_information_score: 2312.6162, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8542, predictive_accuracy: 0.8526, prior_entropy: 2.5207, recall: 0.8526, relative_absolute_error: 0.1998, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9667, kappa: 0.9594, kb_relative_information_score: 2687.514, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 2.5207, recall: 0.9667, relative_absolute_error: 0.0418, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.2683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9072, kappa: 0.8865, kb_relative_information_score: 2487.3232, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.908, predictive_accuracy: 0.907, prior_entropy: 2.5207, recall: 0.907, relative_absolute_error: 0.1291, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1449, root_relative_squared_error: 0.3924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9508, kappa: 0.9397, kb_relative_information_score: 2622.2248, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.951, predictive_accuracy: 0.9506, prior_entropy: 2.5207, recall: 0.9506, relative_absolute_error: 0.073, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.3159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.8512, kappa: 0.8175, kb_relative_information_score: 2311.3976, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8524, predictive_accuracy: 0.8505, prior_entropy: 2.5207, recall: 0.8505, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.177, root_relative_squared_error: 0.4792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9773, f_measure: 0.9187, kappa: 0.9008, kb_relative_information_score: 2531.8988, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9189, predictive_accuracy: 0.9188, prior_entropy: 2.5207, recall: 0.9188, relative_absolute_error: 0.1102, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.3759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9718, kappa: 0.9655, kb_relative_information_score: 2705.2062, mean_absolute_error: 0.01, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9719, predictive_accuracy: 0.9717, prior_entropy: 2.5207, recall: 0.9717, relative_absolute_error: 0.0365, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0844, root_relative_squared_error: 0.2285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9188, kappa: 0.9011, kb_relative_information_score: 2531.7702, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9189, predictive_accuracy: 0.9192, prior_entropy: 2.5207, recall: 0.9192, relative_absolute_error: 0.1099, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.3781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9309, kappa: 0.9157, kb_relative_information_score: 2561.8182, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9311, predictive_accuracy: 0.931, prior_entropy: 2.5207, recall: 0.931, relative_absolute_error: 0.095, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9053, kappa: 0.8843, kb_relative_information_score: 2480.001, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9069, predictive_accuracy: 0.9052, prior_entropy: 2.5207, recall: 0.9052, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1491, root_relative_squared_error: 0.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.946, kappa: 0.934, kb_relative_information_score: 2604.7434, mean_absolute_error: 0.0214, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9463, predictive_accuracy: 0.946, prior_entropy: 2.5207, recall: 0.946, relative_absolute_error: 0.0784, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1205, root_relative_squared_error: 0.3263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9849, f_measure: 0.9053, kappa: 0.8835, kb_relative_information_score: 2480.4036, mean_absolute_error: 0.0364, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9072, predictive_accuracy: 0.9045, prior_entropy: 2.5207, recall: 0.9045, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8706, kappa: 0.8414, kb_relative_information_score: 2365.6536, mean_absolute_error: 0.0503, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8719, predictive_accuracy: 0.8702, prior_entropy: 2.5207, recall: 0.8702, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.4558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9533, kappa: 0.9428, kb_relative_information_score: 2636.2763, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9536, predictive_accuracy: 0.9531, prior_entropy: 2.5207, recall: 0.9531, relative_absolute_error: 0.0657, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.3075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.8691, kappa: 0.8395, kb_relative_information_score: 2347.4227, mean_absolute_error: 0.0507, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8705, predictive_accuracy: 0.8687, prior_entropy: 2.5207, recall: 0.8687, relative_absolute_error: 0.1858, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.167, root_relative_squared_error: 0.4521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9379, kappa: 0.924, kb_relative_information_score: 2587.9268, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9382, predictive_accuracy: 0.9378, prior_entropy: 2.5207, recall: 0.9378, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1234, root_relative_squared_error: 0.3341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9313, kappa: 0.9161, kb_relative_information_score: 2568.7604, mean_absolute_error: 0.0257, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9319, predictive_accuracy: 0.9313, prior_entropy: 2.5207, recall: 0.9313, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1314, root_relative_squared_error: 0.3558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9143, kappa: 0.8955, kb_relative_information_score: 2518.0823, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9145, predictive_accuracy: 0.9145, prior_entropy: 2.5207, recall: 0.9145, relative_absolute_error: 0.1157, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.3851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8671, kappa: 0.8363, kb_relative_information_score: 2341.484, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8695, predictive_accuracy: 0.8659, prior_entropy: 2.5207, recall: 0.8659, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9166, kappa: 0.8978, kb_relative_information_score: 2518.161, mean_absolute_error: 0.0317, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9174, predictive_accuracy: 0.9163, prior_entropy: 2.5207, recall: 0.9163, relative_absolute_error: 0.1163, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9191, kappa: 0.9012, kb_relative_information_score: 2530.7418, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9193, predictive_accuracy: 0.9192, prior_entropy: 2.5207, recall: 0.9192, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.3776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.8372, kappa: 0.8026, kb_relative_information_score: 2252.3019, mean_absolute_error: 0.0611, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8365, predictive_accuracy: 0.8387, prior_entropy: 2.5207, recall: 0.8387, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1824, root_relative_squared_error: 0.4937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9813, f_measure: 0.9485, kappa: 0.9371, kb_relative_information_score: 2628.3504, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9486, predictive_accuracy: 0.9485, prior_entropy: 2.5207, recall: 0.9485, relative_absolute_error: 0.067, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1165, root_relative_squared_error: 0.3155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9707, kappa: 0.9642, kb_relative_information_score: 2700.0671, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9708, predictive_accuracy: 0.9707, prior_entropy: 2.5207, recall: 0.9707, relative_absolute_error: 0.037, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.2649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9357, kappa: 0.9214, kb_relative_information_score: 2580.5533, mean_absolute_error: 0.0242, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.936, predictive_accuracy: 0.9356, prior_entropy: 2.5207, recall: 0.9356, relative_absolute_error: 0.0887, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1256, root_relative_squared_error: 0.3402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9414, kappa: 0.9283, kb_relative_information_score: 2603.6028, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9416, predictive_accuracy: 0.9413, prior_entropy: 2.5207, recall: 0.9413, relative_absolute_error: 0.0805, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.3255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.9575, kappa: 0.948, kb_relative_information_score: 2653.8074, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9576, predictive_accuracy: 0.9574, prior_entropy: 2.5207, recall: 0.9574, relative_absolute_error: 0.0586, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8785, kappa: 0.8503, kb_relative_information_score: 2394.0844, mean_absolute_error: 0.0468, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8807, predictive_accuracy: 0.8773, prior_entropy: 2.5207, recall: 0.8773, relative_absolute_error: 0.1716, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.8892, kappa: 0.8642, kb_relative_information_score: 2423.6077, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8899, predictive_accuracy: 0.8888, prior_entropy: 2.5207, recall: 0.8888, relative_absolute_error: 0.1533, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1575, root_relative_squared_error: 0.4264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8783, kappa: 0.8506, kb_relative_information_score: 2375.4699, mean_absolute_error: 0.0476, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8795, predictive_accuracy: 0.8777, prior_entropy: 2.5207, recall: 0.8777, relative_absolute_error: 0.1746, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1635, root_relative_squared_error: 0.4426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9747, f_measure: 0.8935, kappa: 0.8698, kb_relative_information_score: 2449.703, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8941, predictive_accuracy: 0.8934, prior_entropy: 2.5207, recall: 0.8934, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.4198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.927, kappa: 0.9109, kb_relative_information_score: 2549.3559, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9272, predictive_accuracy: 0.927, prior_entropy: 2.5207, recall: 0.927, relative_absolute_error: 0.1031, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.135, root_relative_squared_error: 0.3654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8359, kappa: 0.7993, kb_relative_information_score: 2244.5844, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8368, predictive_accuracy: 0.8358, prior_entropy: 2.5207, recall: 0.8358, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.8996, kappa: 0.8769, kb_relative_information_score: 2442.8087, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9005, predictive_accuracy: 0.8991, prior_entropy: 2.5207, recall: 0.8991, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1524, root_relative_squared_error: 0.4125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.8316, kappa: 0.7934, kb_relative_information_score: 2246.3279, mean_absolute_error: 0.0631, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8335, predictive_accuracy: 0.8308, prior_entropy: 2.5207, recall: 0.8308, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1845, root_relative_squared_error: 0.4996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9827, f_measure: 0.8996, kappa: 0.8769, kb_relative_information_score: 2442.9274, mean_absolute_error: 0.0404, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9005, predictive_accuracy: 0.8991, prior_entropy: 2.5207, recall: 0.8991, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.9583, kappa: 0.9489, kb_relative_information_score: 2653.7157, mean_absolute_error: 0.0159, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9584, predictive_accuracy: 0.9582, prior_entropy: 2.5207, recall: 0.9582, relative_absolute_error: 0.0583, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.886, kappa: 0.8598, kb_relative_information_score: 2413.2604, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8876, predictive_accuracy: 0.8852, prior_entropy: 2.5207, recall: 0.8852, relative_absolute_error: 0.16, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1601, root_relative_squared_error: 0.4333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9402, kappa: 0.927, kb_relative_information_score: 2601.1301, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9402, predictive_accuracy: 0.9403, prior_entropy: 2.5207, recall: 0.9403, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1236, root_relative_squared_error: 0.3345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9801, f_measure: 0.8477, kappa: 0.8134, kb_relative_information_score: 2280.881, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8486, predictive_accuracy: 0.8473, prior_entropy: 2.5207, recall: 0.8473, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9742, f_measure: 0.9339, kappa: 0.9192, kb_relative_information_score: 2588.7664, mean_absolute_error: 0.0227, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9342, predictive_accuracy: 0.9338, prior_entropy: 2.5207, recall: 0.9338, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.9139, kappa: 0.8951, kb_relative_information_score: 2518.2954, mean_absolute_error: 0.0316, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9141, predictive_accuracy: 0.9142, prior_entropy: 2.5207, recall: 0.9142, relative_absolute_error: 0.1156, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.3843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9349, kappa: 0.9204, kb_relative_information_score: 2600.6377, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9352, predictive_accuracy: 0.9349, prior_entropy: 2.5207, recall: 0.9349, relative_absolute_error: 0.0778, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.132, root_relative_squared_error: 0.3573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8359, kappa: 0.7993, kb_relative_information_score: 2244.5844, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8368, predictive_accuracy: 0.8358, prior_entropy: 2.5207, recall: 0.8358, relative_absolute_error: 0.2258, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.182, root_relative_squared_error: 0.4928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9053, kappa: 0.8843, kb_relative_information_score: 2479.9848, mean_absolute_error: 0.0356, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9069, predictive_accuracy: 0.9052, prior_entropy: 2.5207, recall: 0.9052, relative_absolute_error: 0.1306, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.149, root_relative_squared_error: 0.4034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.9187, kappa: 0.9008, kb_relative_information_score: 2530.5205, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9189, predictive_accuracy: 0.9188, prior_entropy: 2.5207, recall: 0.9188, relative_absolute_error: 0.1109, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.9274, kappa: 0.9113, kb_relative_information_score: 2568.5674, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9275, predictive_accuracy: 0.9274, prior_entropy: 2.5207, recall: 0.9274, relative_absolute_error: 0.0926, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.3731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9489, kappa: 0.9375, kb_relative_information_score: 2624.1106, mean_absolute_error: 0.0195, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9491, predictive_accuracy: 0.9489, prior_entropy: 2.5207, recall: 0.9489, relative_absolute_error: 0.0715, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1187, root_relative_squared_error: 0.3212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8706, kappa: 0.8414, kb_relative_information_score: 2365.4366, mean_absolute_error: 0.0504, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8719, predictive_accuracy: 0.8702, prior_entropy: 2.5207, recall: 0.8702, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.4559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8279, kappa: 0.7893, kb_relative_information_score: 2244.6274, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8296, predictive_accuracy: 0.8276, prior_entropy: 2.5207, recall: 0.8276, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.5038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9293, kappa: 0.9135, kb_relative_information_score: 2564.9363, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.9299, predictive_accuracy: 0.9292, prior_entropy: 2.5207, recall: 0.9292, relative_absolute_error: 0.0959, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1329, root_relative_squared_error: 0.3599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8873, kappa: 0.8619, kb_relative_information_score: 2436.2718, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8882, predictive_accuracy: 0.887, prior_entropy: 2.5207, recall: 0.887, relative_absolute_error: 0.1518, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.157, root_relative_squared_error: 0.4251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8859, kappa: 0.8599, kb_relative_information_score: 2391.1637, mean_absolute_error: 0.0461, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8877, predictive_accuracy: 0.8852, prior_entropy: 2.5207, recall: 0.8852, relative_absolute_error: 0.1691, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1607, root_relative_squared_error: 0.435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8785, kappa: 0.851, kb_relative_information_score: 2373.7422, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.88, predictive_accuracy: 0.878, prior_entropy: 2.5207, recall: 0.878, relative_absolute_error: 0.176, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1622, root_relative_squared_error: 0.4392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.879, kappa: 0.851, kb_relative_information_score: 2370.8598, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.8818, predictive_accuracy: 0.878, prior_entropy: 2.5207, recall: 0.878, relative_absolute_error: 0.1769, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1626, root_relative_squared_error: 0.4401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9579, kappa: 0.9485, kb_relative_information_score: 2653.7537, mean_absolute_error: 0.016, mean_prior_absolute_error: 0.2729, number_of_instances: 2796, precision: 0.958, predictive_accuracy: 0.9578, prior_entropy: 2.5207, recall: 0.9578, relative_absolute_error: 0.0587, root_mean_prior_squared_error: 0.3694, root_mean_squared_error: 0.1086, root_relative_squared_error: 0.2941,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs