OpenML
Supervised Classification on OVA_Uterus

Supervised Classification on OVA_Uterus

Task 3972 Supervised Classification OVA_Uterus 200 runs submitted
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  • mythbusting_1 slow study_123 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8883, f_measure: 0.9222, kappa: 0.4804, kb_relative_information_score: -410.0279, mean_absolute_error: 0.109, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9234, predictive_accuracy: 0.921, prior_entropy: 0.405, recall: 0.921, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2393, root_relative_squared_error: 0.8808,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.9161, kappa: 0.4418, kb_relative_information_score: 87.9686, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9177, predictive_accuracy: 0.9146, prior_entropy: 0.405, recall: 0.9146, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2498, root_relative_squared_error: 0.9193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, kb_relative_information_score: 97.4829, mean_absolute_error: 0.1168, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.7885, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2428, root_relative_squared_error: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.9447, kappa: 0.5991, kb_relative_information_score: 501.5424, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.944, predictive_accuracy: 0.9489, prior_entropy: 0.405, recall: 0.9489, relative_absolute_error: 0.5296, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2018, root_relative_squared_error: 0.7426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.9426, kappa: 0.6084, kb_relative_information_score: 722.6951, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9422, predictive_accuracy: 0.943, prior_entropy: 0.405, recall: 0.943, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2387, root_relative_squared_error: 0.8784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8564, f_measure: 0.8925, kappa: 0.4496, kb_relative_information_score: -305.3707, mean_absolute_error: 0.1288, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9347, predictive_accuracy: 0.8712, prior_entropy: 0.405, recall: 0.8712, relative_absolute_error: 0.8698, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3589, root_relative_squared_error: 1.3209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.9136, kappa: 0.4308, kb_relative_information_score: 259.0596, mean_absolute_error: 0.091, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9162, predictive_accuracy: 0.9113, prior_entropy: 0.405, recall: 0.9113, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2951, root_relative_squared_error: 1.0861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.8813, kb_relative_information_score: 7.5267, mean_absolute_error: 0.1468, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.9185, kappa: 0.3956, kb_relative_information_score: -372.0664, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9151, predictive_accuracy: 0.9269, prior_entropy: 0.405, recall: 0.9269, relative_absolute_error: 0.7719, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.235, root_relative_squared_error: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6724, f_measure: 0.9, kappa: 0.3338, kb_relative_information_score: 83.6272, mean_absolute_error: 0.1016, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9017, predictive_accuracy: 0.8984, prior_entropy: 0.405, recall: 0.8984, relative_absolute_error: 0.6862, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3188, root_relative_squared_error: 1.1733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.9462, kappa: 0.627, kb_relative_information_score: 787.528, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9453, predictive_accuracy: 0.9476, prior_entropy: 0.405, recall: 0.9476, relative_absolute_error: 0.354, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.229, root_relative_squared_error: 0.8427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5061, f_measure: 0.8813, kb_relative_information_score: -280.8544, mean_absolute_error: 0.1524, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 1.029, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8944, f_measure: 0.8918, kappa: 0.105, kb_relative_information_score: 406.9864, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9037, predictive_accuracy: 0.9223, prior_entropy: 0.405, recall: 0.9223, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.9139, kappa: 0.4211, kb_relative_information_score: 292.4204, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9145, predictive_accuracy: 0.9133, prior_entropy: 0.405, recall: 0.9133, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2904, root_relative_squared_error: 1.069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8627, f_measure: 0.8914, kappa: 0.4503, kb_relative_information_score: -333.1562, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9359, predictive_accuracy: 0.8693, prior_entropy: 0.405, recall: 0.8693, relative_absolute_error: 0.8829, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3616, root_relative_squared_error: 1.3309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.9207, kappa: 0.3949, kb_relative_information_score: 565.6417, mean_absolute_error: 0.0674, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9202, predictive_accuracy: 0.932, prior_entropy: 0.405, recall: 0.932, relative_absolute_error: 0.4555, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2508, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.8813, kb_relative_information_score: 36.4157, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.9587, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2718, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7445, f_measure: 0.9274, kappa: 0.4942, kb_relative_information_score: 527.3648, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9257, predictive_accuracy: 0.9295, prior_entropy: 0.405, recall: 0.9295, relative_absolute_error: 0.4786, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.9625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5176, f_measure: 0.8813, kb_relative_information_score: 19.1197, mean_absolute_error: 0.1448, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.9353, kappa: 0.5539, kb_relative_information_score: 604.0751, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9343, predictive_accuracy: 0.9366, prior_entropy: 0.405, recall: 0.9366, relative_absolute_error: 0.4375, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.232, root_relative_squared_error: 0.8537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.9121, kappa: 0.4015, kb_relative_information_score: 282.0646, mean_absolute_error: 0.0887, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9117, predictive_accuracy: 0.9126, prior_entropy: 0.405, recall: 0.9126, relative_absolute_error: 0.5988, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2918, root_relative_squared_error: 1.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.8813, kb_relative_information_score: -31.363, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.7685, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.244, root_relative_squared_error: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8544, f_measure: 0.9409, kappa: 0.5902, kb_relative_information_score: 728.0478, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9398, predictive_accuracy: 0.9424, prior_entropy: 0.405, recall: 0.9424, relative_absolute_error: 0.3805, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9454, kappa: 0.6122, kb_relative_information_score: 497.7156, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9442, predictive_accuracy: 0.9482, prior_entropy: 0.405, recall: 0.9482, relative_absolute_error: 0.4895, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.202, root_relative_squared_error: 0.7436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6153, f_measure: 0.9108, kappa: 0.3675, kb_relative_information_score: 305.6218, mean_absolute_error: 0.0879, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9074, predictive_accuracy: 0.9152, prior_entropy: 0.405, recall: 0.9152, relative_absolute_error: 0.5936, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2836, root_relative_squared_error: 1.0439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7391, f_measure: 0.9254, kappa: 0.4889, kb_relative_information_score: 478.5172, mean_absolute_error: 0.0744, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9246, predictive_accuracy: 0.9262, prior_entropy: 0.405, recall: 0.9262, relative_absolute_error: 0.5024, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2714, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8785, f_measure: 0.9099, kappa: 0.5074, kb_relative_information_score: 22.6622, mean_absolute_error: 0.105, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9388, predictive_accuracy: 0.8951, prior_entropy: 0.405, recall: 0.8951, relative_absolute_error: 0.709, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3217, root_relative_squared_error: 1.1841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9038, f_measure: 0.9277, kappa: 0.4627, kb_relative_information_score: 138.0535, mean_absolute_error: 0.0925, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.926, predictive_accuracy: 0.9353, prior_entropy: 0.405, recall: 0.9353, relative_absolute_error: 0.6244, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.7972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9215, kappa: 0.4145, kb_relative_information_score: 79.0288, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9188, predictive_accuracy: 0.9301, prior_entropy: 0.405, recall: 0.9301, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.8217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.9227, kappa: 0.4499, kb_relative_information_score: 462.7114, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.92, predictive_accuracy: 0.9269, prior_entropy: 0.405, recall: 0.9269, relative_absolute_error: 0.5044, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2515, root_relative_squared_error: 0.9255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7736, f_measure: 0.9215, kappa: 0.4118, kb_relative_information_score: 575.0481, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9193, predictive_accuracy: 0.9307, prior_entropy: 0.405, recall: 0.9307, relative_absolute_error: 0.4589, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.256, root_relative_squared_error: 0.9422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.9171, kappa: 0.4133, kb_relative_information_score: -51.0418, mean_absolute_error: 0.104, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9142, predictive_accuracy: 0.921, prior_entropy: 0.405, recall: 0.921, relative_absolute_error: 0.7026, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.88,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0119, kb_relative_information_score: -11623.3554, mean_absolute_error: 0.9197, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.0064, predictive_accuracy: 0.0803, prior_entropy: 0.405, recall: 0.0803, relative_absolute_error: 6.2107, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.959, root_relative_squared_error: 3.5298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.8813, kb_relative_information_score: 389.2683, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.542, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2833, root_relative_squared_error: 1.0427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8993, f_measure: 0.8377, kappa: 0.3295, kb_relative_information_score: -1704.0717, mean_absolute_error: 0.2121, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9314, predictive_accuracy: 0.7935, prior_entropy: 0.405, recall: 0.7935, relative_absolute_error: 1.4323, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.4372, root_relative_squared_error: 1.6092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4924, f_measure: 0.8813, kb_relative_information_score: 307.2141, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.6417, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2788, root_relative_squared_error: 1.0262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.927, kappa: 0.4617, kb_relative_information_score: 604.8556, mean_absolute_error: 0.0656, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9248, predictive_accuracy: 0.934, prior_entropy: 0.405, recall: 0.934, relative_absolute_error: 0.4433, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9338, kappa: 0.5413, kb_relative_information_score: 425.7626, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9325, predictive_accuracy: 0.9353, prior_entropy: 0.405, recall: 0.9353, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5442, f_measure: 0.9076, kappa: 0.346, kb_relative_information_score: 238.8327, mean_absolute_error: 0.0967, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9041, predictive_accuracy: 0.912, prior_entropy: 0.405, recall: 0.912, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2876, root_relative_squared_error: 1.0587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9401, f_measure: 0.9304, kappa: 0.4652, kb_relative_information_score: 221.5965, mean_absolute_error: 0.0982, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9346, predictive_accuracy: 0.9411, prior_entropy: 0.405, recall: 0.9411, relative_absolute_error: 0.6634, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2088, root_relative_squared_error: 0.7686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.9254, kappa: 0.4243, kb_relative_information_score: 195.2153, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9285, predictive_accuracy: 0.9372, prior_entropy: 0.405, recall: 0.9372, relative_absolute_error: 0.6698, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2097, root_relative_squared_error: 0.7719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.9255, kappa: 0.4188, kb_relative_information_score: 206.9186, mean_absolute_error: 0.0997, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9318, predictive_accuracy: 0.9385, prior_entropy: 0.405, recall: 0.9385, relative_absolute_error: 0.6729, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.7705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.9218, kappa: 0.388, kb_relative_information_score: 156.0261, mean_absolute_error: 0.1024, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9276, predictive_accuracy: 0.9359, prior_entropy: 0.405, recall: 0.9359, relative_absolute_error: 0.6917, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9157, f_measure: 0.9094, kappa: 0.2734, kb_relative_information_score: -38.5262, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9179, predictive_accuracy: 0.9295, prior_entropy: 0.405, recall: 0.9295, relative_absolute_error: 0.7478, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.8345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.9178, kappa: 0.3444, kb_relative_information_score: 179.7579, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9304, predictive_accuracy: 0.9353, prior_entropy: 0.405, recall: 0.9353, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2138, root_relative_squared_error: 0.7869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.9212, kappa: 0.3744, kb_relative_information_score: 174.3002, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.933, predictive_accuracy: 0.9372, prior_entropy: 0.405, recall: 0.9372, relative_absolute_error: 0.6946, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.7821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9328, f_measure: 0.9132, kappa: 0.3029, kb_relative_information_score: 131.8224, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9265, predictive_accuracy: 0.9327, prior_entropy: 0.405, recall: 0.9327, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.7966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.901, f_measure: 0.9338, kappa: 0.5413, kb_relative_information_score: 425.7626, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9325, predictive_accuracy: 0.9353, prior_entropy: 0.405, recall: 0.9353, relative_absolute_error: 0.5303, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.8301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9075, f_measure: 0.9166, kappa: 0.352, kb_relative_information_score: 173.3733, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9178, predictive_accuracy: 0.9307, prior_entropy: 0.405, recall: 0.9307, relative_absolute_error: 0.7278, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.8197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.9238, kappa: 0.4552, kb_relative_information_score: 267.0722, mean_absolute_error: 0.0884, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.921, predictive_accuracy: 0.9282, prior_entropy: 0.405, recall: 0.9282, relative_absolute_error: 0.597, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2322, root_relative_squared_error: 0.8548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8899, f_measure: 0.9177, kappa: 0.365, kb_relative_information_score: -117.7015, mean_absolute_error: 0.1032, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9179, predictive_accuracy: 0.9307, prior_entropy: 0.405, recall: 0.9307, relative_absolute_error: 0.6971, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2291, root_relative_squared_error: 0.8433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9122, f_measure: 0.9189, kappa: 0.4161, kb_relative_information_score: 234.4193, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9155, predictive_accuracy: 0.9243, prior_entropy: 0.405, recall: 0.9243, relative_absolute_error: 0.6191, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.8657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9418, f_measure: 0.9134, kappa: 0.3079, kb_relative_information_score: 131.1921, mean_absolute_error: 0.1053, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9234, predictive_accuracy: 0.932, prior_entropy: 0.405, recall: 0.932, relative_absolute_error: 0.7108, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.216, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8927, f_measure: 0.8806, kappa: -0.0026, kb_relative_information_score: 27.7883, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8458, predictive_accuracy: 0.9184, prior_entropy: 0.405, recall: 0.9184, relative_absolute_error: 0.7354, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2304, root_relative_squared_error: 0.8481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.9132, kappa: 0.3029, kb_relative_information_score: 94.6967, mean_absolute_error: 0.1078, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9265, predictive_accuracy: 0.9327, prior_entropy: 0.405, recall: 0.9327, relative_absolute_error: 0.7282, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.8022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: -10.5937, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9003, f_measure: 0.9281, kappa: 0.4956, kb_relative_information_score: 191.3149, mean_absolute_error: 0.0881, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9261, predictive_accuracy: 0.9307, prior_entropy: 0.405, recall: 0.9307, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2295, root_relative_squared_error: 0.8448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.9094, kappa: 0.2646, kb_relative_information_score: 84.3617, mean_absolute_error: 0.1089, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9277, predictive_accuracy: 0.9314, prior_entropy: 0.405, recall: 0.9314, relative_absolute_error: 0.7353, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.8058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9259, f_measure: 0.9099, kappa: 0.2673, kb_relative_information_score: 47.6459, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9308, predictive_accuracy: 0.932, prior_entropy: 0.405, recall: 0.932, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2224, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6701, f_measure: 0.9063, kappa: 0.3537, kb_relative_information_score: 217.1892, mean_absolute_error: 0.0921, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9047, predictive_accuracy: 0.9081, prior_entropy: 0.405, recall: 0.9081, relative_absolute_error: 0.6221, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3028, root_relative_squared_error: 1.1145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0119, kb_relative_information_score: -8420.8644, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.0064, predictive_accuracy: 0.0803, prior_entropy: 0.405, recall: 0.0803, relative_absolute_error: 3.3763, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.5, root_relative_squared_error: 1.8403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9309, f_measure: 0.8995, kappa: 0.1727, kb_relative_information_score: 22.7608, mean_absolute_error: 0.113, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9226, predictive_accuracy: 0.9269, prior_entropy: 0.405, recall: 0.9269, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.894, kappa: 0.1218, kb_relative_information_score: -7.0709, mean_absolute_error: 0.1155, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9165, predictive_accuracy: 0.9243, prior_entropy: 0.405, recall: 0.9243, relative_absolute_error: 0.7796, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.8268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: 2.7185, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: 2.7185, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: 2.7185, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5638, f_measure: 0.8895, kappa: 0.1135, kb_relative_information_score: -15.6939, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8796, predictive_accuracy: 0.9139, prior_entropy: 0.405, recall: 0.9139, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2695, root_relative_squared_error: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6906, f_measure: 0.8997, kappa: 0.2565, kb_relative_information_score: 12.6856, mean_absolute_error: 0.1298, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.893, predictive_accuracy: 0.91, prior_entropy: 0.405, recall: 0.91, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2638, root_relative_squared_error: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.9045, kappa: 0.2654, kb_relative_information_score: 137.3644, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8993, predictive_accuracy: 0.9191, prior_entropy: 0.405, recall: 0.9191, relative_absolute_error: 0.6237, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7367, f_measure: 0.9098, kappa: 0.3239, kb_relative_information_score: 148.3091, mean_absolute_error: 0.1121, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.905, predictive_accuracy: 0.9204, prior_entropy: 0.405, recall: 0.9204, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2513, root_relative_squared_error: 0.9248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.9022, kappa: 0.2844, kb_relative_information_score: 86.9125, mean_absolute_error: 0.1092, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8964, predictive_accuracy: 0.9107, prior_entropy: 0.405, recall: 0.9107, relative_absolute_error: 0.7375, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2617, root_relative_squared_error: 0.9633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.9207, kappa: 0.4309, kb_relative_information_score: 285.1629, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9175, predictive_accuracy: 0.9256, prior_entropy: 0.405, recall: 0.9256, relative_absolute_error: 0.6571, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2509, root_relative_squared_error: 0.9235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7584, f_measure: 0.9332, kappa: 0.5385, kb_relative_information_score: 602.291, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9321, predictive_accuracy: 0.9346, prior_entropy: 0.405, recall: 0.9346, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2557, root_relative_squared_error: 0.9411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.788, f_measure: 0.9227, kappa: 0.4654, kb_relative_information_score: 346.7315, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9213, predictive_accuracy: 0.9243, prior_entropy: 0.405, recall: 0.9243, relative_absolute_error: 0.5997, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.9151, kappa: 0.4151, kb_relative_information_score: 259.8207, mean_absolute_error: 0.0924, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9137, predictive_accuracy: 0.9165, prior_entropy: 0.405, recall: 0.9165, relative_absolute_error: 0.6241, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7347, f_measure: 0.915, kappa: 0.4061, kb_relative_information_score: 293.3778, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9127, predictive_accuracy: 0.9178, prior_entropy: 0.405, recall: 0.9178, relative_absolute_error: 0.6089, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2709, root_relative_squared_error: 0.9972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8832, f_measure: 0.9158, kappa: 0.4658, kb_relative_information_score: 49.6327, mean_absolute_error: 0.0956, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9225, predictive_accuracy: 0.9107, prior_entropy: 0.405, recall: 0.9107, relative_absolute_error: 0.6455, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2555, root_relative_squared_error: 0.9403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7517, f_measure: 0.9165, kappa: 0.4221, kb_relative_information_score: 328.1428, mean_absolute_error: 0.0869, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9149, predictive_accuracy: 0.9184, prior_entropy: 0.405, recall: 0.9184, relative_absolute_error: 0.5871, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2739, root_relative_squared_error: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6591, f_measure: 0.9004, kappa: 0.3217, kb_relative_information_score: 120.6746, mean_absolute_error: 0.099, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8999, predictive_accuracy: 0.901, prior_entropy: 0.405, recall: 0.901, relative_absolute_error: 0.6687, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.3147, root_relative_squared_error: 1.1582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.8926, kappa: 0.1568, kb_relative_information_score: 253.4858, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8835, predictive_accuracy: 0.9126, prior_entropy: 0.405, recall: 0.9126, relative_absolute_error: 0.5926, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.284, root_relative_squared_error: 1.0452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9059, f_measure: 0.9091, kappa: 0.4709, kb_relative_information_score: -20.3337, mean_absolute_error: 0.1041, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9279, predictive_accuracy: 0.8977, prior_entropy: 0.405, recall: 0.8977, relative_absolute_error: 0.7029, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.299, root_relative_squared_error: 1.1006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6879, f_measure: 0.918, kappa: 0.4375, kb_relative_information_score: 349.3626, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.917, predictive_accuracy: 0.9191, prior_entropy: 0.405, recall: 0.9191, relative_absolute_error: 0.5762, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2774, root_relative_squared_error: 1.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7583, f_measure: 0.9131, kappa: 0.4518, kb_relative_information_score: 210.0718, mean_absolute_error: 0.0931, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9206, predictive_accuracy: 0.9074, prior_entropy: 0.405, recall: 0.9074, relative_absolute_error: 0.629, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.304, root_relative_squared_error: 1.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9202, f_measure: 0.8871, kappa: 0.0561, kb_relative_information_score: -49.0927, mean_absolute_error: 0.1189, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9123, predictive_accuracy: 0.9217, prior_entropy: 0.405, recall: 0.9217, relative_absolute_error: 0.803, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2316, root_relative_squared_error: 0.8526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.9, kappa: 0.1805, kb_relative_information_score: 80.0009, mean_absolute_error: 0.1111, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9159, predictive_accuracy: 0.9262, prior_entropy: 0.405, recall: 0.9262, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2207, root_relative_squared_error: 0.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8393, f_measure: 0.9279, kappa: 0.5619, kb_relative_information_score: 402.5498, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9394, predictive_accuracy: 0.921, prior_entropy: 0.405, recall: 0.921, relative_absolute_error: 0.5396, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2806, root_relative_squared_error: 1.0329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5799, f_measure: 0.9086, kappa: 0.256, kb_relative_information_score: 555.9817, mean_absolute_error: 0.0686, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9299, predictive_accuracy: 0.9314, prior_entropy: 0.405, recall: 0.9314, relative_absolute_error: 0.4633, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8789, f_measure: 0.9143, kappa: 0.506, kb_relative_information_score: 95.7858, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9343, predictive_accuracy: 0.9029, prior_entropy: 0.405, recall: 0.9029, relative_absolute_error: 0.6416, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2874, root_relative_squared_error: 1.0577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.9187, kappa: 0.3838, kb_relative_information_score: -178.61, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9167, predictive_accuracy: 0.9295, prior_entropy: 0.405, recall: 0.9295, relative_absolute_error: 0.7233, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.8367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.9253, kappa: 0.4551, kb_relative_information_score: 315.3929, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9225, predictive_accuracy: 0.9314, prior_entropy: 0.405, recall: 0.9314, relative_absolute_error: 0.6558, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2331, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7913, f_measure: 0.9405, kappa: 0.5936, kb_relative_information_score: 694.9095, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.94, predictive_accuracy: 0.9411, prior_entropy: 0.405, recall: 0.9411, relative_absolute_error: 0.3977, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.8933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8701, f_measure: 0.9265, kappa: 0.546, kb_relative_information_score: 140.4946, mean_absolute_error: 0.1047, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9359, predictive_accuracy: 0.9204, prior_entropy: 0.405, recall: 0.9204, relative_absolute_error: 0.7068, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2333, root_relative_squared_error: 0.8588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.8813, kb_relative_information_score: -30.9305, mean_absolute_error: 0.1124, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.7592, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2359, root_relative_squared_error: 0.8683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7924, f_measure: 0.8813, kb_relative_information_score: -8300.4063, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 3.3038, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.4894, root_relative_squared_error: 1.8011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9183, f_measure: 0.9259, kappa: 0.4559, kb_relative_information_score: 105.605, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9234, predictive_accuracy: 0.9327, prior_entropy: 0.405, recall: 0.9327, relative_absolute_error: 0.621, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2168, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9052, f_measure: 0.9215, kappa: 0.4145, kb_relative_information_score: 79.0288, mean_absolute_error: 0.0993, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9188, predictive_accuracy: 0.9301, prior_entropy: 0.405, recall: 0.9301, relative_absolute_error: 0.6707, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.8217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9018, f_measure: 0.9181, kappa: 0.4182, kb_relative_information_score: 195.2146, mean_absolute_error: 0.0918, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9151, predictive_accuracy: 0.9223, prior_entropy: 0.405, recall: 0.9223, relative_absolute_error: 0.6201, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2421, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7586, f_measure: 0.9164, kappa: 0.3881, kb_relative_information_score: 167.1841, mean_absolute_error: 0.1068, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.9125, predictive_accuracy: 0.9236, prior_entropy: 0.405, recall: 0.9236, relative_absolute_error: 0.7212, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.49, f_measure: 0.8813, kb_relative_information_score: 0.845, mean_absolute_error: 0.1478, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8459, predictive_accuracy: 0.9197, prior_entropy: 0.405, recall: 0.9197, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2717, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.869, kappa: 0.1916, kb_relative_information_score: -1867.0376, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.1481, number_of_instances: 1545, precision: 0.8817, predictive_accuracy: 0.8583, prior_entropy: 0.405, recall: 0.8583, relative_absolute_error: 1.3108, root_mean_prior_squared_error: 0.2717, root_mean_squared_error: 0.2945, root_relative_squared_error: 1.084,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

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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