Task
Supervised Classification on isolet

Supervised Classification on isolet

Task 3481 Supervised Classification isolet 12191 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_41 study_99 under100k
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12191 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8173, kappa: 0.8095, kb_relative_information_score: 6565.8727, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8189, predictive_accuracy: 0.8169, prior_entropy: 4.7004, recall: 0.8169, relative_absolute_error: 0.2253, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.5323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8207, kappa: 0.8135, kb_relative_information_score: 6531.1611, mean_absolute_error: 0.0155, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8215, predictive_accuracy: 0.8207, prior_entropy: 4.7004, recall: 0.8207, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.5402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8104, kappa: 0.8025, kb_relative_information_score: 6434.2508, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8119, predictive_accuracy: 0.8101, prior_entropy: 4.7004, recall: 0.8101, relative_absolute_error: 0.2496, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.825, kappa: 0.8178, kb_relative_information_score: 6598.8287, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8257, predictive_accuracy: 0.8248, prior_entropy: 4.7004, recall: 0.8248, relative_absolute_error: 0.2086, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.102, root_relative_squared_error: 0.5303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.8125, kappa: 0.8047, kb_relative_information_score: 6315.3932, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8132, predictive_accuracy: 0.8122, prior_entropy: 4.7004, recall: 0.8122, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.6249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.818, kappa: 0.8102, kb_relative_information_score: 6574.5535, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8195, predictive_accuracy: 0.8175, prior_entropy: 4.7004, recall: 0.8175, relative_absolute_error: 0.2202, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8225, kappa: 0.815, kb_relative_information_score: 6593.136, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8234, predictive_accuracy: 0.8221, prior_entropy: 4.7004, recall: 0.8221, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.102, root_relative_squared_error: 0.5306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.8117, kappa: 0.8038, kb_relative_information_score: 6511.3495, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8131, predictive_accuracy: 0.8113, prior_entropy: 4.7004, recall: 0.8113, relative_absolute_error: 0.2414, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.5395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9594, f_measure: 0.8158, kappa: 0.8082, kb_relative_information_score: 6548.6241, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8171, predictive_accuracy: 0.8156, prior_entropy: 4.7004, recall: 0.8156, relative_absolute_error: 0.2313, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.5327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8086, kappa: 0.801, kb_relative_information_score: 6420.694, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8096, predictive_accuracy: 0.8086, prior_entropy: 4.7004, recall: 0.8086, relative_absolute_error: 0.2536, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.81, kappa: 0.8021, kb_relative_information_score: 6432.6513, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8114, predictive_accuracy: 0.8097, prior_entropy: 4.7004, recall: 0.8097, relative_absolute_error: 0.25, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.5455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8137, kappa: 0.8058, kb_relative_information_score: 6530.4689, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8152, predictive_accuracy: 0.8133, prior_entropy: 4.7004, recall: 0.8133, relative_absolute_error: 0.2367, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8278, kappa: 0.8205, kb_relative_information_score: 6599.2097, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8288, predictive_accuracy: 0.8274, prior_entropy: 4.7004, recall: 0.8274, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.5334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9552, f_measure: 0.8171, kappa: 0.8093, kb_relative_information_score: 6570.5361, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8186, predictive_accuracy: 0.8166, prior_entropy: 4.7004, recall: 0.8166, relative_absolute_error: 0.2211, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.5334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8195, kappa: 0.8122, kb_relative_information_score: 6531.3272, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.82, predictive_accuracy: 0.8194, prior_entropy: 4.7004, recall: 0.8194, relative_absolute_error: 0.2139, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.5392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.812, kappa: 0.8041, kb_relative_information_score: 6514.1872, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8136, predictive_accuracy: 0.8116, prior_entropy: 4.7004, recall: 0.8116, relative_absolute_error: 0.2423, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.5382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9555, f_measure: 0.8173, kappa: 0.8099, kb_relative_information_score: 6488.339, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8181, predictive_accuracy: 0.8172, prior_entropy: 4.7004, recall: 0.8172, relative_absolute_error: 0.2365, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.5393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9343, f_measure: 0.8272, kappa: 0.8201, kb_relative_information_score: 6575.3436, mean_absolute_error: 0.014, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8282, predictive_accuracy: 0.827, prior_entropy: 4.7004, recall: 0.827, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.5448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9272, f_measure: 0.8168, kappa: 0.8095, kb_relative_information_score: 6489.1241, mean_absolute_error: 0.0148, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8182, predictive_accuracy: 0.8169, prior_entropy: 4.7004, recall: 0.8169, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8148, kappa: 0.8074, kb_relative_information_score: 6483.0727, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8156, predictive_accuracy: 0.8148, prior_entropy: 4.7004, recall: 0.8148, relative_absolute_error: 0.2352, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.5404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8245, kappa: 0.8174, kb_relative_information_score: 6581.1635, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8257, predictive_accuracy: 0.8244, prior_entropy: 4.7004, recall: 0.8244, relative_absolute_error: 0.1954, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8148, kappa: 0.8071, kb_relative_information_score: 6549.7057, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.816, predictive_accuracy: 0.8145, prior_entropy: 4.7004, recall: 0.8145, relative_absolute_error: 0.231, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1025, root_relative_squared_error: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8159, kappa: 0.8085, kb_relative_information_score: 6489.2424, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8167, predictive_accuracy: 0.8158, prior_entropy: 4.7004, recall: 0.8158, relative_absolute_error: 0.2348, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1039, root_relative_squared_error: 0.5402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8131, kappa: 0.8057, kb_relative_information_score: 6454.0811, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8141, predictive_accuracy: 0.8131, prior_entropy: 4.7004, recall: 0.8131, relative_absolute_error: 0.2445, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1045, root_relative_squared_error: 0.5436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8273, kappa: 0.8202, kb_relative_information_score: 6520.5782, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8282, predictive_accuracy: 0.8271, prior_entropy: 4.7004, recall: 0.8271, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1079, root_relative_squared_error: 0.5609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8186, kappa: 0.8111, kb_relative_information_score: 6501.8831, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8196, predictive_accuracy: 0.8184, prior_entropy: 4.7004, recall: 0.8184, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8121, kappa: 0.8042, kb_relative_information_score: 6517.9108, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8137, predictive_accuracy: 0.8117, prior_entropy: 4.7004, recall: 0.8117, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.5375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8156, kappa: 0.8082, kb_relative_information_score: 6493.8707, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8164, predictive_accuracy: 0.8156, prior_entropy: 4.7004, recall: 0.8156, relative_absolute_error: 0.2337, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.5393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9264, f_measure: 0.8135, kappa: 0.8059, kb_relative_information_score: 6459.1414, mean_absolute_error: 0.0149, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8145, predictive_accuracy: 0.8134, prior_entropy: 4.7004, recall: 0.8134, relative_absolute_error: 0.2015, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1082, root_relative_squared_error: 0.5625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9566, f_measure: 0.8147, kappa: 0.8074, kb_relative_information_score: 6466.1313, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8156, predictive_accuracy: 0.8148, prior_entropy: 4.7004, recall: 0.8148, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.936, f_measure: 0.817, kappa: 0.8098, kb_relative_information_score: 6516.5123, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8179, predictive_accuracy: 0.8171, prior_entropy: 4.7004, recall: 0.8171, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.5469,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9616, f_measure: 0.8132, kappa: 0.8054, kb_relative_information_score: 6534.1828, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8146, predictive_accuracy: 0.8129, prior_entropy: 4.7004, recall: 0.8129, relative_absolute_error: 0.2363, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.5346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.8183, kappa: 0.8109, kb_relative_information_score: 6503.0055, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8193, predictive_accuracy: 0.8181, prior_entropy: 4.7004, recall: 0.8181, relative_absolute_error: 0.2297, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.5375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.83, kappa: 0.823, kb_relative_information_score: 6594.9429, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8308, predictive_accuracy: 0.8298, prior_entropy: 4.7004, recall: 0.8298, relative_absolute_error: 0.197, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.5376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9626, f_measure: 0.8124, kappa: 0.8045, kb_relative_information_score: 6519.562, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.814, predictive_accuracy: 0.812, prior_entropy: 4.7004, recall: 0.812, relative_absolute_error: 0.2417, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9479, f_measure: 0.8282, kappa: 0.821, kb_relative_information_score: 6598.6527, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8292, predictive_accuracy: 0.8279, prior_entropy: 4.7004, recall: 0.8279, relative_absolute_error: 0.2062, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.5341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8195, kappa: 0.8121, kb_relative_information_score: 6507.0344, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8205, predictive_accuracy: 0.8193, prior_entropy: 4.7004, recall: 0.8193, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.103, root_relative_squared_error: 0.5358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9512, f_measure: 0.8262, kappa: 0.819, kb_relative_information_score: 6608.3416, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.827, predictive_accuracy: 0.826, prior_entropy: 4.7004, recall: 0.826, relative_absolute_error: 0.2077, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1017, root_relative_squared_error: 0.5287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8115, kappa: 0.8035, kb_relative_information_score: 6511.7795, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8131, predictive_accuracy: 0.8111, prior_entropy: 4.7004, recall: 0.8111, relative_absolute_error: 0.2431, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8123, kappa: 0.8043, kb_relative_information_score: 6517.9522, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8139, predictive_accuracy: 0.8119, prior_entropy: 4.7004, recall: 0.8119, relative_absolute_error: 0.2422, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.5372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8203, kappa: 0.8129, kb_relative_information_score: 6509.5973, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8213, predictive_accuracy: 0.8201, prior_entropy: 4.7004, recall: 0.8201, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.103, root_relative_squared_error: 0.5355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9484, f_measure: 0.8207, kappa: 0.8135, kb_relative_information_score: 6521.3701, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8215, predictive_accuracy: 0.8207, prior_entropy: 4.7004, recall: 0.8207, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.5381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8131, kappa: 0.8057, kb_relative_information_score: 6449.6612, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8141, predictive_accuracy: 0.8131, prior_entropy: 4.7004, recall: 0.8131, relative_absolute_error: 0.2446, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9575, f_measure: 0.8102, kappa: 0.8025, kb_relative_information_score: 6434.8238, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8114, predictive_accuracy: 0.8101, prior_entropy: 4.7004, recall: 0.8101, relative_absolute_error: 0.2476, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.5463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8188, kappa: 0.811, kb_relative_information_score: 6569.6336, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8202, predictive_accuracy: 0.8183, prior_entropy: 4.7004, recall: 0.8183, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.5325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9563, f_measure: 0.8143, kappa: 0.807, kb_relative_information_score: 6457.5573, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8152, predictive_accuracy: 0.8144, prior_entropy: 4.7004, recall: 0.8144, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8116, kappa: 0.8037, kb_relative_information_score: 6510.9533, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8132, predictive_accuracy: 0.8112, prior_entropy: 4.7004, recall: 0.8112, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9391, f_measure: 0.82, kappa: 0.8129, kb_relative_information_score: 6513.225, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8207, predictive_accuracy: 0.8201, prior_entropy: 4.7004, recall: 0.8201, relative_absolute_error: 0.2121, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.8195, kappa: 0.8123, kb_relative_information_score: 6519.4838, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8204, predictive_accuracy: 0.8195, prior_entropy: 4.7004, recall: 0.8195, relative_absolute_error: 0.2255, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1031, root_relative_squared_error: 0.5361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8305, kappa: 0.8234, kb_relative_information_score: 6590.1241, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8313, predictive_accuracy: 0.8302, prior_entropy: 4.7004, recall: 0.8302, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.821, kappa: 0.8138, kb_relative_information_score: 6523.9849, mean_absolute_error: 0.0165, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8218, predictive_accuracy: 0.821, prior_entropy: 4.7004, recall: 0.821, relative_absolute_error: 0.2229, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.5365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8175, kappa: 0.8098, kb_relative_information_score: 6568.8148, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8189, predictive_accuracy: 0.8171, prior_entropy: 4.7004, recall: 0.8171, relative_absolute_error: 0.2245, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.5316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8189, kappa: 0.8111, kb_relative_information_score: 6573.3757, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8204, predictive_accuracy: 0.8184, prior_entropy: 4.7004, recall: 0.8184, relative_absolute_error: 0.2199, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1023, root_relative_squared_error: 0.5318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.809, kappa: 0.8014, kb_relative_information_score: 6425.0193, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.81, predictive_accuracy: 0.809, prior_entropy: 4.7004, recall: 0.809, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.105, root_relative_squared_error: 0.5461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.8161, kappa: 0.8087, kb_relative_information_score: 6493.3543, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8169, predictive_accuracy: 0.8161, prior_entropy: 4.7004, recall: 0.8161, relative_absolute_error: 0.2339, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.5393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9549, f_measure: 0.8187, kappa: 0.811, kb_relative_information_score: 6574.8848, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8201, predictive_accuracy: 0.8183, prior_entropy: 4.7004, recall: 0.8183, relative_absolute_error: 0.2204, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.5316,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.817, kappa: 0.8095, kb_relative_information_score: 6441.8862, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8184, predictive_accuracy: 0.8169, prior_entropy: 4.7004, recall: 0.8169, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.11, root_relative_squared_error: 0.5719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9274, f_measure: 0.818, kappa: 0.8109, kb_relative_information_score: 6492.0619, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8192, predictive_accuracy: 0.8181, prior_entropy: 4.7004, recall: 0.8181, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1074, root_relative_squared_error: 0.5584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8287, kappa: 0.8214, kb_relative_information_score: 6595.508, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.83, predictive_accuracy: 0.8283, prior_entropy: 4.7004, recall: 0.8283, relative_absolute_error: 0.2028, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.103, root_relative_squared_error: 0.5358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9244, f_measure: 0.8274, kappa: 0.8202, kb_relative_information_score: 6528.539, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8286, predictive_accuracy: 0.8271, prior_entropy: 4.7004, recall: 0.8271, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1076, root_relative_squared_error: 0.5598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.819, kappa: 0.8115, kb_relative_information_score: 6503.9516, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.82, predictive_accuracy: 0.8188, prior_entropy: 4.7004, recall: 0.8188, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.5365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9235, f_measure: 0.8127, kappa: 0.8049, kb_relative_information_score: 6426.0451, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8138, predictive_accuracy: 0.8124, prior_entropy: 4.7004, recall: 0.8124, relative_absolute_error: 0.2029, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.5699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8134, kappa: 0.8059, kb_relative_information_score: 6449.8205, mean_absolute_error: 0.0181, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8144, predictive_accuracy: 0.8134, prior_entropy: 4.7004, recall: 0.8134, relative_absolute_error: 0.2453, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1047, root_relative_squared_error: 0.5446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.8115, kappa: 0.8035, kb_relative_information_score: 6509.9486, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8131, predictive_accuracy: 0.8111, prior_entropy: 4.7004, recall: 0.8111, relative_absolute_error: 0.243, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1036, root_relative_squared_error: 0.5388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.8203, kappa: 0.8131, kb_relative_information_score: 6536.5942, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8208, predictive_accuracy: 0.8203, prior_entropy: 4.7004, recall: 0.8203, relative_absolute_error: 0.2135, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1034, root_relative_squared_error: 0.5379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.8196, kappa: 0.8122, kb_relative_information_score: 6502.8384, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8207, predictive_accuracy: 0.8194, prior_entropy: 4.7004, recall: 0.8194, relative_absolute_error: 0.2301, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.8245, kappa: 0.8171, kb_relative_information_score: 6563.7837, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8256, predictive_accuracy: 0.8242, prior_entropy: 4.7004, recall: 0.8242, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.105, root_relative_squared_error: 0.5462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9579, f_measure: 0.8099, kappa: 0.8022, kb_relative_information_score: 6433.3246, mean_absolute_error: 0.0184, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8111, predictive_accuracy: 0.8098, prior_entropy: 4.7004, recall: 0.8098, relative_absolute_error: 0.2483, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.5468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8202, kappa: 0.8127, kb_relative_information_score: 6463.1719, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8219, predictive_accuracy: 0.8199, prior_entropy: 4.7004, recall: 0.8199, relative_absolute_error: 0.1941, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.5697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9322, f_measure: 0.8288, kappa: 0.8218, kb_relative_information_score: 6571.0543, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8299, predictive_accuracy: 0.8287, prior_entropy: 4.7004, recall: 0.8287, relative_absolute_error: 0.1868, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.5466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8163, kappa: 0.8089, kb_relative_information_score: 6517.1706, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8175, predictive_accuracy: 0.8162, prior_entropy: 4.7004, recall: 0.8162, relative_absolute_error: 0.2042, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1054, root_relative_squared_error: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.8137, kappa: 0.8063, kb_relative_information_score: 6455.5842, mean_absolute_error: 0.018, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8147, predictive_accuracy: 0.8138, prior_entropy: 4.7004, recall: 0.8138, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.5447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9469, f_measure: 0.8191, kappa: 0.8118, kb_relative_information_score: 6520.6539, mean_absolute_error: 0.0163, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8198, predictive_accuracy: 0.819, prior_entropy: 4.7004, recall: 0.819, relative_absolute_error: 0.2203, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.5395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8228, kappa: 0.8154, kb_relative_information_score: 6590.2138, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8237, predictive_accuracy: 0.8225, prior_entropy: 4.7004, recall: 0.8225, relative_absolute_error: 0.211, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.5327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9415, f_measure: 0.8309, kappa: 0.8237, kb_relative_information_score: 6591.8119, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8321, predictive_accuracy: 0.8304, prior_entropy: 4.7004, recall: 0.8304, relative_absolute_error: 0.1984, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1033, root_relative_squared_error: 0.5374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.8141, kappa: 0.8065, kb_relative_information_score: 6548.2716, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8153, predictive_accuracy: 0.8139, prior_entropy: 4.7004, recall: 0.8139, relative_absolute_error: 0.2278, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.5351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8145, kappa: 0.8069, kb_relative_information_score: 6547.0816, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8156, predictive_accuracy: 0.8143, prior_entropy: 4.7004, recall: 0.8143, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.5352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.818, kappa: 0.8103, kb_relative_information_score: 6567.6007, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8195, predictive_accuracy: 0.8176, prior_entropy: 4.7004, recall: 0.8176, relative_absolute_error: 0.2242, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1024, root_relative_squared_error: 0.5323,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.8173, kappa: 0.8101, kb_relative_information_score: 6515.0987, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.818, predictive_accuracy: 0.8174, prior_entropy: 4.7004, recall: 0.8174, relative_absolute_error: 0.203, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.5496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.8157, kappa: 0.8083, kb_relative_information_score: 6472.4648, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8166, predictive_accuracy: 0.8157, prior_entropy: 4.7004, recall: 0.8157, relative_absolute_error: 0.2409, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.8284, kappa: 0.821, kb_relative_information_score: 6452.3987, mean_absolute_error: 0.0132, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8297, predictive_accuracy: 0.8279, prior_entropy: 4.7004, recall: 0.8279, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1136, root_relative_squared_error: 0.5908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9327, f_measure: 0.8156, kappa: 0.8085, kb_relative_information_score: 6500.2383, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8165, predictive_accuracy: 0.8158, prior_entropy: 4.7004, recall: 0.8158, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.5519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.828, kappa: 0.8207, kb_relative_information_score: 6598.3015, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.829, predictive_accuracy: 0.8276, prior_entropy: 4.7004, recall: 0.8276, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1026, root_relative_squared_error: 0.5334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.8256, kappa: 0.8185, kb_relative_information_score: 6528.5497, mean_absolute_error: 0.0137, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8267, predictive_accuracy: 0.8254, prior_entropy: 4.7004, recall: 0.8254, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8286, kappa: 0.8215, kb_relative_information_score: 6584.3973, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8295, predictive_accuracy: 0.8284, prior_entropy: 4.7004, recall: 0.8284, relative_absolute_error: 0.199, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.5393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8137, kappa: 0.8058, kb_relative_information_score: 6533.5393, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8152, predictive_accuracy: 0.8133, prior_entropy: 4.7004, recall: 0.8133, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1027, root_relative_squared_error: 0.5342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9471, f_measure: 0.8211, kappa: 0.8138, kb_relative_information_score: 6529.4387, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8218, predictive_accuracy: 0.821, prior_entropy: 4.7004, recall: 0.821, relative_absolute_error: 0.2193, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.5364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.925, f_measure: 0.8178, kappa: 0.8105, kb_relative_information_score: 6480.4585, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8192, predictive_accuracy: 0.8178, prior_entropy: 4.7004, recall: 0.8178, relative_absolute_error: 0.1972, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9161, f_measure: 0.8264, kappa: 0.819, kb_relative_information_score: 6475.2898, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8281, predictive_accuracy: 0.826, prior_entropy: 4.7004, recall: 0.826, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1111, root_relative_squared_error: 0.5777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.8196, kappa: 0.8122, kb_relative_information_score: 6503.4662, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8206, predictive_accuracy: 0.8194, prior_entropy: 4.7004, recall: 0.8194, relative_absolute_error: 0.2298, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1032, root_relative_squared_error: 0.5368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9524, f_measure: 0.8235, kappa: 0.8161, kb_relative_information_score: 6596.4039, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8245, predictive_accuracy: 0.8231, prior_entropy: 4.7004, recall: 0.8231, relative_absolute_error: 0.2118, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.5293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8295, kappa: 0.8223, kb_relative_information_score: 6587.0806, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8306, predictive_accuracy: 0.8292, prior_entropy: 4.7004, recall: 0.8292, relative_absolute_error: 0.1943, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.104, root_relative_squared_error: 0.5409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9188, f_measure: 0.8132, kappa: 0.8055, kb_relative_information_score: 6429.2444, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8146, predictive_accuracy: 0.813, prior_entropy: 4.7004, recall: 0.813, relative_absolute_error: 0.1979, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1103, root_relative_squared_error: 0.5737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8109, kappa: 0.8033, kb_relative_information_score: 6439.5248, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8121, predictive_accuracy: 0.8108, prior_entropy: 4.7004, recall: 0.8108, relative_absolute_error: 0.2477, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1049, root_relative_squared_error: 0.5453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8299, kappa: 0.8229, kb_relative_information_score: 6587.4564, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8307, predictive_accuracy: 0.8297, prior_entropy: 4.7004, recall: 0.8297, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.5426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9109, f_measure: 0.8134, kappa: 0.8058, kb_relative_information_score: 6386.5711, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8149, predictive_accuracy: 0.8133, prior_entropy: 4.7004, recall: 0.8133, relative_absolute_error: 0.1953, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1141, root_relative_squared_error: 0.5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.8174, kappa: 0.8099, kb_relative_information_score: 6489.2873, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8182, predictive_accuracy: 0.8172, prior_entropy: 4.7004, recall: 0.8172, relative_absolute_error: 0.2364, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1037, root_relative_squared_error: 0.5391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.953, f_measure: 0.8194, kappa: 0.8119, kb_relative_information_score: 6511.7384, mean_absolute_error: 0.0169, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8203, predictive_accuracy: 0.8192, prior_entropy: 4.7004, recall: 0.8192, relative_absolute_error: 0.2289, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1028, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.813, kappa: 0.8053, kb_relative_information_score: 6537.671, mean_absolute_error: 0.0173, mean_prior_absolute_error: 0.074, number_of_instances: 7797, precision: 0.8143, predictive_accuracy: 0.8127, prior_entropy: 4.7004, recall: 0.8127, relative_absolute_error: 0.2338, root_mean_prior_squared_error: 0.1923, root_mean_squared_error: 0.1029, root_relative_squared_error: 0.5353,

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

OpenML APIs