OpenML
Supervised Classification on pc1

Supervised Classification on pc1

Task 3918 Supervised Classification pc1 147053 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_98 study_99 under100k under1m
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147053 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.9047, kappa: 0.1422, kb_relative_information_score: -302.7034, mean_absolute_error: 0.1004, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8952, predictive_accuracy: 0.9225, prior_entropy: 0.3667, recall: 0.9225, relative_absolute_error: 0.7731, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.245, root_relative_squared_error: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.778, f_measure: 0.9082, kappa: 0.1586, kb_relative_information_score: -357.5933, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9022, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2457, root_relative_squared_error: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.9018, kappa: 0.2076, kb_relative_information_score: -320.3252, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8979, predictive_accuracy: 0.9062, prior_entropy: 0.3667, recall: 0.9062, relative_absolute_error: 0.7825, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7459, f_measure: 0.9092, kappa: 0.247, kb_relative_information_score: -389.8944, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9038, predictive_accuracy: 0.9161, prior_entropy: 0.3667, recall: 0.9161, relative_absolute_error: 0.7974, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7342, f_measure: 0.9058, kappa: 0.2087, kb_relative_information_score: -328.9711, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8992, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2555, root_relative_squared_error: 1.0053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.767, f_measure: 0.9163, kappa: 0.3263, kb_relative_information_score: -126.6878, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9134, predictive_accuracy: 0.9197, prior_entropy: 0.3667, recall: 0.9197, relative_absolute_error: 0.694, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7487, f_measure: 0.9062, kappa: 0.2407, kb_relative_information_score: -235.0785, mean_absolute_error: 0.0978, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9023, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2626, root_relative_squared_error: 1.0332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7649, f_measure: 0.9027, kappa: 0.1706, kb_relative_information_score: -393.5614, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8947, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.8015, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6624, f_measure: 0.8989, kappa: 0.2037, kb_relative_information_score: -182.3235, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8972, predictive_accuracy: 0.9008, prior_entropy: 0.3667, recall: 0.9008, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.3007, root_relative_squared_error: 1.1831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.9023, kappa: 0.1413, kb_relative_information_score: -412.0004, mean_absolute_error: 0.106, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8924, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.8161, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.25, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7779, f_measure: 0.9082, kappa: 0.1586, kb_relative_information_score: -412.069, mean_absolute_error: 0.1044, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9022, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.8039, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7795, f_measure: 0.9111, kappa: 0.1828, kb_relative_information_score: -346.0497, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.908, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7814, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.9551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -359.6309, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.9642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.773, f_measure: 0.9051, kappa: 0.1808, kb_relative_information_score: -357.1383, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8968, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.7879, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2472, root_relative_squared_error: 0.9723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7389, f_measure: 0.9151, kappa: 0.3143, kb_relative_information_score: -78.3503, mean_absolute_error: 0.0894, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9119, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.6884, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2613, root_relative_squared_error: 1.0279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.9107, kappa: 0.2809, kb_relative_information_score: -132.6225, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9074, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2742, root_relative_squared_error: 1.0788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7561, f_measure: 0.9099, kappa: 0.2498, kb_relative_information_score: -375.0412, mean_absolute_error: 0.1023, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9043, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2496, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7889, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: -368.3745, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -359.4262, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7891, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2448, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7553, f_measure: 0.9086, kappa: 0.2441, kb_relative_information_score: -312.0156, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9033, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.767, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.9807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7891, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -360.8289, mean_absolute_error: 0.1018, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.9082, kappa: 0.1586, kb_relative_information_score: -375.7249, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9022, predictive_accuracy: 0.9279, prior_entropy: 0.3667, recall: 0.9279, relative_absolute_error: 0.7898, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.9626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.91, kappa: 0.2645, kb_relative_information_score: -288.7781, mean_absolute_error: 0.0998, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9057, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.7682, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.254, root_relative_squared_error: 0.9992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7717, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: -370.0173, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2455, root_relative_squared_error: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7436, f_measure: 0.9084, kappa: 0.2282, kb_relative_information_score: -338.4595, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.902, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.7762, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2516, root_relative_squared_error: 0.9899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.9111, kappa: 0.1828, kb_relative_information_score: -374.6312, mean_absolute_error: 0.1025, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.908, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7894, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.9643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7765, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -364.5812, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7928, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.9651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.9036, kappa: 0.137, kb_relative_information_score: -326.0789, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8935, predictive_accuracy: 0.9206, prior_entropy: 0.3667, recall: 0.9206, relative_absolute_error: 0.7787, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.246, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -389.1264, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2444, root_relative_squared_error: 0.9615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.9042, kappa: 0.1853, kb_relative_information_score: -310.4393, mean_absolute_error: 0.1, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8965, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.7696, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2478, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.741, f_measure: 0.9018, kappa: 0.2076, kb_relative_information_score: -294.5437, mean_absolute_error: 0.1007, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8979, predictive_accuracy: 0.9062, prior_entropy: 0.3667, recall: 0.9062, relative_absolute_error: 0.7752, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2557, root_relative_squared_error: 1.0059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7668, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -383.1777, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7926, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.9099, kappa: 0.2498, kb_relative_information_score: -392.4415, mean_absolute_error: 0.1033, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9043, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.7951, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.9059, kappa: 0.2172, kb_relative_information_score: -281.8799, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2543, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7796, f_measure: 0.9065, kappa: 0.1502, kb_relative_information_score: -314.8517, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8983, predictive_accuracy: 0.9252, prior_entropy: 0.3667, recall: 0.9252, relative_absolute_error: 0.7758, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7593, f_measure: 0.9035, kappa: 0.1463, kb_relative_information_score: -371.813, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8937, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -439.1535, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2484, root_relative_squared_error: 0.9771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.781, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -378.2914, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2458, root_relative_squared_error: 0.9671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.9086, kappa: 0.2441, kb_relative_information_score: -380.9967, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9033, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.7946, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7357, f_measure: 0.9043, kappa: 0.2254, kb_relative_information_score: -145.9226, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9003, predictive_accuracy: 0.9089, prior_entropy: 0.3667, recall: 0.9089, relative_absolute_error: 0.7284, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2619, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7894, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: -371.4769, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.9053, kappa: 0.1448, kb_relative_information_score: -398.0914, mean_absolute_error: 0.1039, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8962, predictive_accuracy: 0.9234, prior_entropy: 0.3667, recall: 0.9234, relative_absolute_error: 0.7998, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7626, f_measure: 0.9125, kappa: 0.2832, kb_relative_information_score: -234.8984, mean_absolute_error: 0.0966, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9082, predictive_accuracy: 0.9179, prior_entropy: 0.3667, recall: 0.9179, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2585, root_relative_squared_error: 1.0169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.9125, kappa: 0.2832, kb_relative_information_score: -167.7395, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9082, predictive_accuracy: 0.9179, prior_entropy: 0.3667, recall: 0.9179, relative_absolute_error: 0.7199, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2547, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7374, f_measure: 0.9157, kappa: 0.3232, kb_relative_information_score: -193.9304, mean_absolute_error: 0.0954, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9129, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.9982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.9107, kappa: 0.2743, kb_relative_information_score: -304.3028, mean_absolute_error: 0.0999, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9068, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.7692, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.9036, kappa: 0.215, kb_relative_information_score: -226.7832, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8991, predictive_accuracy: 0.9089, prior_entropy: 0.3667, recall: 0.9089, relative_absolute_error: 0.7468, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2641, root_relative_squared_error: 1.0388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.73, f_measure: 0.9057, kappa: 0.2453, kb_relative_information_score: -281.5517, mean_absolute_error: 0.1012, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9027, predictive_accuracy: 0.9089, prior_entropy: 0.3667, recall: 0.9089, relative_absolute_error: 0.7788, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2715, root_relative_squared_error: 1.0681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.9013, kappa: 0.2052, kb_relative_information_score: -354.283, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8976, predictive_accuracy: 0.9053, prior_entropy: 0.3667, recall: 0.9053, relative_absolute_error: 0.8186, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2745, root_relative_squared_error: 1.0799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7667, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -390.3001, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8972, predictive_accuracy: 0.9243, prior_entropy: 0.3667, recall: 0.9243, relative_absolute_error: 0.7938, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2476, root_relative_squared_error: 0.9739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7481, f_measure: 0.9022, kappa: 0.1682, kb_relative_information_score: -406.102, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8942, predictive_accuracy: 0.9125, prior_entropy: 0.3667, recall: 0.9125, relative_absolute_error: 0.8061, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2511, root_relative_squared_error: 0.9879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.9078, kappa: 0.2254, kb_relative_information_score: -360.6083, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9015, predictive_accuracy: 0.9161, prior_entropy: 0.3667, recall: 0.9161, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -359.5782, mean_absolute_error: 0.102, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.9548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.9102, kappa: 0.2368, kb_relative_information_score: -326.8843, mean_absolute_error: 0.0995, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9197, prior_entropy: 0.3667, recall: 0.9197, relative_absolute_error: 0.7657, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2505, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7444, f_measure: 0.9081, kappa: 0.2489, kb_relative_information_score: -301.2924, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9036, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7669, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.9844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.75, f_measure: 0.9059, kappa: 0.1475, kb_relative_information_score: -396.3419, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8972, predictive_accuracy: 0.9243, prior_entropy: 0.3667, recall: 0.9243, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.9802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7614, f_measure: 0.9051, kappa: 0.1808, kb_relative_information_score: -371.8829, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8968, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.7933, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.9763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.9076, kappa: 0.1558, kb_relative_information_score: -403.0128, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9008, predictive_accuracy: 0.927, prior_entropy: 0.3667, recall: 0.927, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.9783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.9049, kappa: 0.2201, kb_relative_information_score: -310.2229, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8999, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.7786, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2585, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7589, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -434.536, mean_absolute_error: 0.1062, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.8176, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.9102, kappa: 0.2368, kb_relative_information_score: -272.6336, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9197, prior_entropy: 0.3667, recall: 0.9197, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2485, root_relative_squared_error: 0.9775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7592, f_measure: 0.9138, kappa: 0.2825, kb_relative_information_score: -276.7028, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9087, predictive_accuracy: 0.9206, prior_entropy: 0.3667, recall: 0.9206, relative_absolute_error: 0.7584, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2562, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.9074, kappa: 0.2386, kb_relative_information_score: -304.0868, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9024, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7668, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.9051, kappa: 0.2427, kb_relative_information_score: -180.5278, mean_absolute_error: 0.0975, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9023, predictive_accuracy: 0.908, prior_entropy: 0.3667, recall: 0.908, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2822, root_relative_squared_error: 1.1102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -383.9849, mean_absolute_error: 0.1031, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.794, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.9612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.9032, kappa: 0.2351, kb_relative_information_score: -303.9342, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9012, predictive_accuracy: 0.9053, prior_entropy: 0.3667, recall: 0.9053, relative_absolute_error: 0.7916, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2757, root_relative_squared_error: 1.0845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: -373.3685, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.7911, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.9654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.9057, kappa: 0.2655, kb_relative_information_score: -243.521, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9051, predictive_accuracy: 0.9062, prior_entropy: 0.3667, recall: 0.9062, relative_absolute_error: 0.8022, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2902, root_relative_squared_error: 1.1418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7887, f_measure: 0.9088, kappa: 0.1616, kb_relative_information_score: -371.6601, mean_absolute_error: 0.1028, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9288, prior_entropy: 0.3667, recall: 0.9288, relative_absolute_error: 0.7913, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7415, f_measure: 0.9055, kappa: 0.2227, kb_relative_information_score: -268.0026, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9003, predictive_accuracy: 0.9116, prior_entropy: 0.3667, recall: 0.9116, relative_absolute_error: 0.7582, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2557, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.9086, kappa: 0.2441, kb_relative_information_score: -383.7827, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9033, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7771, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -359.8744, mean_absolute_error: 0.1027, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2438, root_relative_squared_error: 0.9592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.9076, kappa: 0.2168, kb_relative_information_score: -263.2411, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9008, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.25, root_relative_squared_error: 0.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7803, f_measure: 0.9111, kappa: 0.1828, kb_relative_information_score: -339.7964, mean_absolute_error: 0.1013, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.908, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2425, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7877, f_measure: 0.9122, kappa: 0.1975, kb_relative_information_score: -403.5114, mean_absolute_error: 0.1037, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9088, predictive_accuracy: 0.9306, prior_entropy: 0.3667, recall: 0.9306, relative_absolute_error: 0.7986, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.243, root_relative_squared_error: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7595, f_measure: 0.9092, kappa: 0.247, kb_relative_information_score: -111.3715, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9038, predictive_accuracy: 0.9161, prior_entropy: 0.3667, recall: 0.9161, relative_absolute_error: 0.697, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2596, root_relative_squared_error: 1.0212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7556, f_measure: 0.9099, kappa: 0.2498, kb_relative_information_score: -381.4071, mean_absolute_error: 0.1026, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9043, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.9822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7552, f_measure: 0.9027, kappa: 0.1706, kb_relative_information_score: -377.7927, mean_absolute_error: 0.1035, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8947, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7968, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2501, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.9086, kappa: 0.2441, kb_relative_information_score: -327.2965, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9033, predictive_accuracy: 0.9152, prior_entropy: 0.3667, recall: 0.9152, relative_absolute_error: 0.772, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2504, root_relative_squared_error: 0.9849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7417, f_measure: 0.9074, kappa: 0.2386, kb_relative_information_score: -310.1882, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9024, predictive_accuracy: 0.9134, prior_entropy: 0.3667, recall: 0.9134, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.719, f_measure: 0.9013, kappa: 0.2052, kb_relative_information_score: -309.4195, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8976, predictive_accuracy: 0.9053, prior_entropy: 0.3667, recall: 0.9053, relative_absolute_error: 0.7992, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2729, root_relative_squared_error: 1.0737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.9092, kappa: 0.247, kb_relative_information_score: -330.6275, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9038, predictive_accuracy: 0.9161, prior_entropy: 0.3667, recall: 0.9161, relative_absolute_error: 0.7724, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2491, root_relative_squared_error: 0.9798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7474, f_measure: 0.905, kappa: 0.1972, kb_relative_information_score: -291.7114, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8979, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.7651, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2482, root_relative_squared_error: 0.9764,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.705, f_measure: 0.9007, kappa: 0.2107, kb_relative_information_score: -218.9885, mean_absolute_error: 0.1002, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8981, predictive_accuracy: 0.9035, prior_entropy: 0.3667, recall: 0.9035, relative_absolute_error: 0.7711, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2837, root_relative_squared_error: 1.1159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.9098, kappa: 0.242, kb_relative_information_score: -281.062, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9037, predictive_accuracy: 0.9179, prior_entropy: 0.3667, recall: 0.9179, relative_absolute_error: 0.7622, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.259, root_relative_squared_error: 1.0189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7581, f_measure: 0.9035, kappa: 0.1463, kb_relative_information_score: -377.3213, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8937, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.9769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.9094, kappa: 0.1645, kb_relative_information_score: -438.0036, mean_absolute_error: 0.1061, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9054, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2479, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7616, f_measure: 0.9042, kappa: 0.1853, kb_relative_information_score: -314.3063, mean_absolute_error: 0.1003, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8965, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.7723, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2481, root_relative_squared_error: 0.9762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7511, f_measure: 0.903, kappa: 0.1803, kb_relative_information_score: -314.2374, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8956, predictive_accuracy: 0.9125, prior_entropy: 0.3667, recall: 0.9125, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.9816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6493, f_measure: 0.9069, kappa: 0.2506, kb_relative_information_score: -118.1287, mean_absolute_error: 0.0977, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9035, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.7521, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2986, root_relative_squared_error: 1.1748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.9056, kappa: 0.2306, kb_relative_information_score: -303.4019, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9011, predictive_accuracy: 0.9107, prior_entropy: 0.3667, recall: 0.9107, relative_absolute_error: 0.7666, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2502, root_relative_squared_error: 0.9845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7893, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -354.0708, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7817, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2424, root_relative_squared_error: 0.9538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.9132, kappa: 0.2991, kb_relative_information_score: -144.356, mean_absolute_error: 0.0935, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9099, predictive_accuracy: 0.917, prior_entropy: 0.3667, recall: 0.917, relative_absolute_error: 0.7197, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2628, root_relative_squared_error: 1.0337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -354.3041, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7832, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7432, f_measure: 0.9035, kappa: 0.1463, kb_relative_information_score: -363.1288, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8937, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2483, root_relative_squared_error: 0.9768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.678, f_measure: 0.91, kappa: 0.2906, kb_relative_information_score: -22.0757, mean_absolute_error: 0.0907, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9084, predictive_accuracy: 0.9116, prior_entropy: 0.3667, recall: 0.9116, relative_absolute_error: 0.6983, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2878, root_relative_squared_error: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.903, kappa: 0.2125, kb_relative_information_score: -354.6748, mean_absolute_error: 0.1036, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8987, predictive_accuracy: 0.908, prior_entropy: 0.3667, recall: 0.908, relative_absolute_error: 0.7972, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2617, root_relative_squared_error: 1.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7425, f_measure: 0.9035, kappa: 0.1463, kb_relative_information_score: -375.022, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.8937, predictive_accuracy: 0.9188, prior_entropy: 0.3667, recall: 0.9188, relative_absolute_error: 0.8004, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2489, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.9073, kappa: 0.2308, kb_relative_information_score: -349.1785, mean_absolute_error: 0.1022, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9017, predictive_accuracy: 0.9143, prior_entropy: 0.3667, recall: 0.9143, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.256, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7731, f_measure: 0.9105, kappa: 0.1797, kb_relative_information_score: -371.0694, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1299, number_of_instances: 1109, precision: 0.9063, predictive_accuracy: 0.9297, prior_entropy: 0.3667, recall: 0.9297, relative_absolute_error: 0.7886, root_mean_prior_squared_error: 0.2542, root_mean_squared_error: 0.2436, root_relative_squared_error: 0.9582,

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