Task
Supervised Classification on jm1

Supervised Classification on jm1

Task 3904 Supervised Classification jm1 19004 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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19004 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.7699, kappa: 0.1864, kb_relative_information_score: 430.5629, mean_absolute_error: 0.2696, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7705, predictive_accuracy: 0.8096, prior_entropy: 0.7088, recall: 0.8096, relative_absolute_error: 0.8637, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3796, root_relative_squared_error: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.7201, kb_relative_information_score: -1.3318, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6505, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.7686, kappa: 0.1917, kb_relative_information_score: 257.5584, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7609, predictive_accuracy: 0.7999, prior_entropy: 0.7088, recall: 0.7999, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3873, root_relative_squared_error: 0.9804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7171, f_measure: 0.7726, kappa: 0.1996, kb_relative_information_score: 653.53, mean_absolute_error: 0.2636, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7704, predictive_accuracy: 0.8084, prior_entropy: 0.7088, recall: 0.8084, relative_absolute_error: 0.8444, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.7097, kappa: 0.2197, kb_relative_information_score: -2320.3944, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7685, predictive_accuracy: 0.6808, prior_entropy: 0.7088, recall: 0.6808, relative_absolute_error: 1.01, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.5314, root_relative_squared_error: 1.3453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.654, f_measure: 0.7419, kappa: 0.076, kb_relative_information_score: 147.344, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7648, predictive_accuracy: 0.809, prior_entropy: 0.7088, recall: 0.809, relative_absolute_error: 0.9291, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.381, root_relative_squared_error: 0.9645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.7201, kb_relative_information_score: 2921.4273, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6505, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.6199, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4399, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5178, f_measure: 0.7361, kappa: 0.0553, kb_relative_information_score: 3083.99, mean_absolute_error: 0.1895, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7845, predictive_accuracy: 0.8105, prior_entropy: 0.7088, recall: 0.8105, relative_absolute_error: 0.6072, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4353, root_relative_squared_error: 1.1021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.743, kappa: 0.1437, kb_relative_information_score: 790.2409, mean_absolute_error: 0.2453, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7337, predictive_accuracy: 0.7548, prior_entropy: 0.7088, recall: 0.7548, relative_absolute_error: 0.7858, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4952, root_relative_squared_error: 1.2535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.611, f_measure: 0.7603, kappa: 0.2256, kb_relative_information_score: 1099.2128, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7584, predictive_accuracy: 0.7622, prior_entropy: 0.7088, recall: 0.7622, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4876, root_relative_squared_error: 1.2344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7664, kappa: 0.1682, kb_relative_information_score: 618.2406, mean_absolute_error: 0.2737, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7794, predictive_accuracy: 0.8146, prior_entropy: 0.7088, recall: 0.8146, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3725, root_relative_squared_error: 0.9431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.522, f_measure: 0.7396, kappa: 0.0676, kb_relative_information_score: 3099.1121, mean_absolute_error: 0.1892, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7801, predictive_accuracy: 0.8108, prior_entropy: 0.7088, recall: 0.8108, relative_absolute_error: 0.606, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4349, root_relative_squared_error: 1.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.7241, kappa: 0.0136, kb_relative_information_score: -12885.4667, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.785, predictive_accuracy: 0.8075, prior_entropy: 0.7088, recall: 0.8075, relative_absolute_error: 1.6014, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4999, root_relative_squared_error: 1.2654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, f_measure: 0.7363, kappa: 0.0562, kb_relative_information_score: 3068.8679, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7794, predictive_accuracy: 0.8101, prior_entropy: 0.7088, recall: 0.8101, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4358, root_relative_squared_error: 1.1031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.4037, kappa: 0.0824, kb_relative_information_score: -14208.1455, mean_absolute_error: 0.6097, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7901, predictive_accuracy: 0.3903, prior_entropy: 0.7088, recall: 0.3903, relative_absolute_error: 1.9535, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.7809, root_relative_squared_error: 1.9767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.778, kappa: 0.2598, kb_relative_information_score: 2080.5424, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7709, predictive_accuracy: 0.7885, prior_entropy: 0.7088, recall: 0.7885, relative_absolute_error: 0.6869, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4498, root_relative_squared_error: 1.1385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6852, f_measure: 0.7611, kappa: 0.1635, kb_relative_information_score: -1208.978, mean_absolute_error: 0.3003, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7516, predictive_accuracy: 0.795, prior_entropy: 0.7088, recall: 0.795, relative_absolute_error: 0.962, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3895, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.761, kappa: 0.1487, kb_relative_information_score: 69.4917, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7699, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.9073, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3764, root_relative_squared_error: 0.9527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.7201, kb_relative_information_score: 1.4574, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6505, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.7578, kappa: 0.1358, kb_relative_information_score: 284.5767, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7693, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3778, root_relative_squared_error: 0.9564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7585, kappa: 0.1375, kb_relative_information_score: 570.4077, mean_absolute_error: 0.2726, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7779, predictive_accuracy: 0.8135, prior_entropy: 0.7088, recall: 0.8135, relative_absolute_error: 0.8733, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.7609, kappa: 0.149, kb_relative_information_score: 252.133, mean_absolute_error: 0.2779, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7671, predictive_accuracy: 0.8095, prior_entropy: 0.7088, recall: 0.8095, relative_absolute_error: 0.8903, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.9463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6519, f_measure: 0.7503, kappa: 0.1073, kb_relative_information_score: 331.8658, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7664, predictive_accuracy: 0.8097, prior_entropy: 0.7088, recall: 0.8097, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.381, root_relative_squared_error: 0.9644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7222, f_measure: 0.7813, kappa: 0.2362, kb_relative_information_score: 679.6608, mean_absolute_error: 0.259, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7777, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.9457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6378, f_measure: 0.7538, kappa: 0.1197, kb_relative_information_score: 574.3677, mean_absolute_error: 0.2891, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7767, predictive_accuracy: 0.8127, prior_entropy: 0.7088, recall: 0.8127, relative_absolute_error: 0.9264, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.9602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5117, f_measure: 0.73, kappa: 0.0341, kb_relative_information_score: -12884.1501, mean_absolute_error: 0.4998, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7866, predictive_accuracy: 0.8091, prior_entropy: 0.7088, recall: 0.8091, relative_absolute_error: 1.6013, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.2653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.7201, kb_relative_information_score: -143.8324, mean_absolute_error: 0.2882, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6505, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.379, root_relative_squared_error: 0.9594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6673, f_measure: 0.7394, kappa: 0.0669, kb_relative_information_score: 575.4383, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7796, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.912, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3822, root_relative_squared_error: 0.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.7236, kappa: 0.012, kb_relative_information_score: 2966.7936, mean_absolute_error: 0.1924, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8009, predictive_accuracy: 0.8076, prior_entropy: 0.7088, recall: 0.8076, relative_absolute_error: 0.6163, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4386, root_relative_squared_error: 1.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.7676, kappa: 0.1788, kb_relative_information_score: 501.2612, mean_absolute_error: 0.2692, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7664, predictive_accuracy: 0.8073, prior_entropy: 0.7088, recall: 0.8073, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3833, root_relative_squared_error: 0.9702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.7758, kappa: 0.2148, kb_relative_information_score: 432.2142, mean_absolute_error: 0.2578, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7716, predictive_accuracy: 0.8075, prior_entropy: 0.7088, recall: 0.8075, relative_absolute_error: 0.8259, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.9678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6267, f_measure: 0.7697, kappa: 0.1918, kb_relative_information_score: 2780.5367, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7642, predictive_accuracy: 0.8036, prior_entropy: 0.7088, recall: 0.8036, relative_absolute_error: 0.6304, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4387, root_relative_squared_error: 1.1105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.721, kappa: 0.0031, kb_relative_information_score: 2936.5494, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8442, predictive_accuracy: 0.8069, prior_entropy: 0.7088, recall: 0.8069, relative_absolute_error: 0.6187, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4394, root_relative_squared_error: 1.1124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.7709, kappa: 0.2039, kb_relative_information_score: 1547.6956, mean_absolute_error: 0.2457, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7625, predictive_accuracy: 0.7988, prior_entropy: 0.7088, recall: 0.7988, relative_absolute_error: 0.7873, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4154, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6388, f_measure: 0.7708, kappa: 0.2276, kb_relative_information_score: 1147.1095, mean_absolute_error: 0.2403, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7619, predictive_accuracy: 0.7852, prior_entropy: 0.7088, recall: 0.7852, relative_absolute_error: 0.77, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4261, root_relative_squared_error: 1.0788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7843, kappa: 0.239, kb_relative_information_score: 735.6023, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7902, predictive_accuracy: 0.8199, prior_entropy: 0.7088, recall: 0.8199, relative_absolute_error: 0.8317, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3639, root_relative_squared_error: 0.9212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.628, f_measure: 0.7591, kappa: 0.2202, kb_relative_information_score: 827.1765, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7567, predictive_accuracy: 0.7616, prior_entropy: 0.7088, recall: 0.7616, relative_absolute_error: 0.7846, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4877, root_relative_squared_error: 1.2346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.7736, kappa: 0.2093, kb_relative_information_score: 2791.551, mean_absolute_error: 0.1969, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7675, predictive_accuracy: 0.804, prior_entropy: 0.7088, recall: 0.804, relative_absolute_error: 0.6309, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4354, root_relative_squared_error: 1.1023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.7613, kappa: 0.1522, kb_relative_information_score: 373.0683, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7628, predictive_accuracy: 0.807, prior_entropy: 0.7088, recall: 0.807, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3831, root_relative_squared_error: 0.9698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.7865, kappa: 0.2498, kb_relative_information_score: 862.8152, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7891, predictive_accuracy: 0.819, prior_entropy: 0.7088, recall: 0.819, relative_absolute_error: 0.8179, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.9267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5993, f_measure: 0.7626, kappa: 0.2307, kb_relative_information_score: 1000.9497, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.76, predictive_accuracy: 0.7654, prior_entropy: 0.7088, recall: 0.7654, relative_absolute_error: 0.7713, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4827, root_relative_squared_error: 1.2221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.7762, kappa: 0.25, kb_relative_information_score: 1796.9731, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7683, predictive_accuracy: 0.7883, prior_entropy: 0.7088, recall: 0.7883, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4331, root_relative_squared_error: 1.0965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7713, kappa: 0.1992, kb_relative_information_score: 766.7446, mean_absolute_error: 0.2668, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7652, predictive_accuracy: 0.8034, prior_entropy: 0.7088, recall: 0.8034, relative_absolute_error: 0.8548, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3899, root_relative_squared_error: 0.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5656, f_measure: 0.7697, kappa: 0.1913, kb_relative_information_score: 642.1303, mean_absolute_error: 0.2866, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7647, predictive_accuracy: 0.8042, prior_entropy: 0.7088, recall: 0.8042, relative_absolute_error: 0.9184, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.9956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6187, f_measure: 0.7487, kappa: 0.1327, kb_relative_information_score: -336.0942, mean_absolute_error: 0.2703, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7345, predictive_accuracy: 0.7752, prior_entropy: 0.7088, recall: 0.7752, relative_absolute_error: 0.8661, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4234, root_relative_squared_error: 1.0718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6893, f_measure: 0.7767, kappa: 0.2469, kb_relative_information_score: 2014.797, mean_absolute_error: 0.2158, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7683, predictive_accuracy: 0.7911, prior_entropy: 0.7088, recall: 0.7911, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4352, root_relative_squared_error: 1.1018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6869, f_measure: 0.7688, kappa: 0.236, kb_relative_information_score: 654.537, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7625, predictive_accuracy: 0.7768, prior_entropy: 0.7088, recall: 0.7768, relative_absolute_error: 0.7884, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4147, root_relative_squared_error: 1.0498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6891, f_measure: 0.7668, kappa: 0.1805, kb_relative_information_score: 621.4401, mean_absolute_error: 0.2713, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.761, predictive_accuracy: 0.8023, prior_entropy: 0.7088, recall: 0.8023, relative_absolute_error: 0.8693, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.9774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7012, f_measure: 0.7693, kappa: 0.1872, kb_relative_information_score: 649.0415, mean_absolute_error: 0.2721, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7665, predictive_accuracy: 0.8064, prior_entropy: 0.7088, recall: 0.8064, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.9642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5002, f_measure: 0.7204, kappa: 0.0008, kb_relative_information_score: 2925.2078, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.844, predictive_accuracy: 0.8066, prior_entropy: 0.7088, recall: 0.8066, relative_absolute_error: 0.6196, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4398, root_relative_squared_error: 1.1132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6706, f_measure: 0.7645, kappa: 0.166, kb_relative_information_score: 491.282, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7641, predictive_accuracy: 0.8067, prior_entropy: 0.7088, recall: 0.8067, relative_absolute_error: 0.8911, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3808, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.7201, kb_relative_information_score: -137.3366, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6505, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9228, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.379, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.7637, kappa: 0.1616, kb_relative_information_score: 423.9139, mean_absolute_error: 0.2793, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7657, predictive_accuracy: 0.8081, prior_entropy: 0.7088, recall: 0.8081, relative_absolute_error: 0.8949, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3797, root_relative_squared_error: 0.9613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.7618, kappa: 0.1523, kb_relative_information_score: 351.9247, mean_absolute_error: 0.2801, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7681, predictive_accuracy: 0.8098, prior_entropy: 0.7088, recall: 0.8098, relative_absolute_error: 0.8974, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6702, f_measure: 0.7583, kappa: 0.1396, kb_relative_information_score: 304.7262, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7632, predictive_accuracy: 0.8079, prior_entropy: 0.7088, recall: 0.8079, relative_absolute_error: 0.8999, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.9585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6705, f_measure: 0.7618, kappa: 0.151, kb_relative_information_score: 277.5884, mean_absolute_error: 0.281, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.774, predictive_accuracy: 0.8124, prior_entropy: 0.7088, recall: 0.8124, relative_absolute_error: 0.9004, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3769, root_relative_squared_error: 0.9541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6033, f_measure: 0.7451, kappa: 0.0897, kb_relative_information_score: 2019.2851, mean_absolute_error: 0.2173, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7465, predictive_accuracy: 0.8031, prior_entropy: 0.7088, recall: 0.8031, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.415, root_relative_squared_error: 1.0506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6727, f_measure: 0.7201, kb_relative_information_score: -193.2519, mean_absolute_error: 0.2886, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6505, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 0.9248, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3804, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.7619, kappa: 0.1527, kb_relative_information_score: 237.2895, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7689, predictive_accuracy: 0.8102, prior_entropy: 0.7088, recall: 0.8102, relative_absolute_error: 0.9032, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3775, root_relative_squared_error: 0.9556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6698, f_measure: 0.7606, kappa: 0.1474, kb_relative_information_score: 228.1478, mean_absolute_error: 0.2821, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.768, predictive_accuracy: 0.8099, prior_entropy: 0.7088, recall: 0.8099, relative_absolute_error: 0.904, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.9554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6699, f_measure: 0.762, kappa: 0.1526, kb_relative_information_score: 219.7835, mean_absolute_error: 0.2823, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7701, predictive_accuracy: 0.8107, prior_entropy: 0.7088, recall: 0.8107, relative_absolute_error: 0.9045, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3772, root_relative_squared_error: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.7601, kappa: 0.146, kb_relative_information_score: 177.8805, mean_absolute_error: 0.2829, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7665, predictive_accuracy: 0.8093, prior_entropy: 0.7088, recall: 0.8093, relative_absolute_error: 0.9064, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3776, root_relative_squared_error: 0.9559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6694, f_measure: 0.756, kappa: 0.1299, kb_relative_information_score: 150.0823, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7642, predictive_accuracy: 0.8087, prior_entropy: 0.7088, recall: 0.8087, relative_absolute_error: 0.9081, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3777, root_relative_squared_error: 0.9561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7577, f_measure: 0.7867, kappa: 0.2521, kb_relative_information_score: 824.8338, mean_absolute_error: 0.2555, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7874, predictive_accuracy: 0.8177, prior_entropy: 0.7088, recall: 0.8177, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3654, root_relative_squared_error: 0.9249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7851, kappa: 0.2459, kb_relative_information_score: 754.3733, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7858, predictive_accuracy: 0.8168, prior_entropy: 0.7088, recall: 0.8168, relative_absolute_error: 0.8224, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.9279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5841, f_measure: 0.7514, kappa: 0.1987, kb_relative_information_score: 491.3572, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.75, predictive_accuracy: 0.753, prior_entropy: 0.7088, recall: 0.753, relative_absolute_error: 0.8108, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4963, root_relative_squared_error: 1.2565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7558, f_measure: 0.7885, kappa: 0.2588, kb_relative_information_score: 754.4808, mean_absolute_error: 0.2566, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7893, predictive_accuracy: 0.8187, prior_entropy: 0.7088, recall: 0.8187, relative_absolute_error: 0.8222, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.9271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7549, f_measure: 0.787, kappa: 0.2539, kb_relative_information_score: 717.1297, mean_absolute_error: 0.257, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.787, predictive_accuracy: 0.8173, prior_entropy: 0.7088, recall: 0.8173, relative_absolute_error: 0.8235, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3667, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.7509, kappa: 0.109, kb_relative_information_score: 200.843, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7719, predictive_accuracy: 0.8112, prior_entropy: 0.7088, recall: 0.8112, relative_absolute_error: 0.8893, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3734, root_relative_squared_error: 0.9453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.7201, kb_relative_information_score: -1.3318, mean_absolute_error: 0.3121, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.6505, predictive_accuracy: 0.8065, prior_entropy: 0.7088, recall: 0.8065, relative_absolute_error: 1, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.395, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7522, f_measure: 0.789, kappa: 0.2618, kb_relative_information_score: 669.9635, mean_absolute_error: 0.2576, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.789, predictive_accuracy: 0.8184, prior_entropy: 0.7088, recall: 0.8184, relative_absolute_error: 0.8255, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3675, root_relative_squared_error: 0.9304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7856, kappa: 0.2502, kb_relative_information_score: 643.6645, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7841, predictive_accuracy: 0.8152, prior_entropy: 0.7088, recall: 0.8152, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.752, kappa: 0.1138, kb_relative_information_score: 293.7646, mean_absolute_error: 0.28, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.767, predictive_accuracy: 0.8099, prior_entropy: 0.7088, recall: 0.8099, relative_absolute_error: 0.8971, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.9502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.7818, kappa: 0.2424, kb_relative_information_score: 731.7667, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7761, predictive_accuracy: 0.8079, prior_entropy: 0.7088, recall: 0.8079, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.7818, kappa: 0.2424, kb_relative_information_score: 731.7667, mean_absolute_error: 0.2492, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7761, predictive_accuracy: 0.8079, prior_entropy: 0.7088, recall: 0.8079, relative_absolute_error: 0.7983, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.9729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.737, f_measure: 0.764, kappa: 0.1587, kb_relative_information_score: 557.7847, mean_absolute_error: 0.2746, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.779, predictive_accuracy: 0.8143, prior_entropy: 0.7088, recall: 0.8143, relative_absolute_error: 0.8798, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3693, root_relative_squared_error: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7108, f_measure: 0.7522, kappa: 0.1145, kb_relative_information_score: 295.3315, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7673, predictive_accuracy: 0.81, prior_entropy: 0.7088, recall: 0.81, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.9501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7104, f_measure: 0.7528, kappa: 0.1164, kb_relative_information_score: 531.0858, mean_absolute_error: 0.2816, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7704, predictive_accuracy: 0.8109, prior_entropy: 0.7088, recall: 0.8109, relative_absolute_error: 0.9023, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7856, kappa: 0.2502, kb_relative_information_score: 643.6645, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7841, predictive_accuracy: 0.8152, prior_entropy: 0.7088, recall: 0.8152, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6297, f_measure: 0.7615, kappa: 0.1885, kb_relative_information_score: 816.0835, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7506, predictive_accuracy: 0.7802, prior_entropy: 0.7088, recall: 0.7802, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4323, root_relative_squared_error: 1.0943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7856, kappa: 0.2502, kb_relative_information_score: 643.6645, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7841, predictive_accuracy: 0.8152, prior_entropy: 0.7088, recall: 0.8152, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7856, kappa: 0.2502, kb_relative_information_score: 643.6645, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7841, predictive_accuracy: 0.8152, prior_entropy: 0.7088, recall: 0.8152, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.7858, kappa: 0.2498, kb_relative_information_score: 695.1349, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7855, predictive_accuracy: 0.8164, prior_entropy: 0.7088, recall: 0.8164, relative_absolute_error: 0.8223, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3696, root_relative_squared_error: 0.9356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7856, kappa: 0.2502, kb_relative_information_score: 643.6645, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7841, predictive_accuracy: 0.8152, prior_entropy: 0.7088, recall: 0.8152, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7856, kappa: 0.2502, kb_relative_information_score: 643.6645, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7841, predictive_accuracy: 0.8152, prior_entropy: 0.7088, recall: 0.8152, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7856, kappa: 0.2502, kb_relative_information_score: 643.6645, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7841, predictive_accuracy: 0.8152, prior_entropy: 0.7088, recall: 0.8152, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7507, f_measure: 0.7856, kappa: 0.2502, kb_relative_information_score: 643.6645, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7841, predictive_accuracy: 0.8152, prior_entropy: 0.7088, recall: 0.8152, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.9321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7608, kappa: 0.1485, kb_relative_information_score: 370.8017, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7678, predictive_accuracy: 0.8098, prior_entropy: 0.7088, recall: 0.8098, relative_absolute_error: 0.89, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3815, root_relative_squared_error: 0.9657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7089, f_measure: 0.7327, kappa: 0.0433, kb_relative_information_score: -4489.0136, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7721, predictive_accuracy: 0.8088, prior_entropy: 0.7088, recall: 0.8088, relative_absolute_error: 1.1549, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.9995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.7751, kappa: 0.2396, kb_relative_information_score: 1840.5052, mean_absolute_error: 0.2198, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7663, predictive_accuracy: 0.7904, prior_entropy: 0.7088, recall: 0.7904, relative_absolute_error: 0.7043, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4266, root_relative_squared_error: 1.0801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.7765, kappa: 0.2433, kb_relative_information_score: 1293.616, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7678, predictive_accuracy: 0.7921, prior_entropy: 0.7088, recall: 0.7921, relative_absolute_error: 0.7525, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4104, root_relative_squared_error: 1.0388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.7791, kappa: 0.2201, kb_relative_information_score: 707.0199, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7834, predictive_accuracy: 0.8163, prior_entropy: 0.7088, recall: 0.8163, relative_absolute_error: 0.8419, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3687, root_relative_squared_error: 0.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7361, f_measure: 0.7856, kappa: 0.2575, kb_relative_information_score: 528.1515, mean_absolute_error: 0.2582, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.78, predictive_accuracy: 0.8098, prior_entropy: 0.7088, recall: 0.8098, relative_absolute_error: 0.8271, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3746, root_relative_squared_error: 0.9482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.7709, kappa: 0.2051, kb_relative_information_score: 820.8087, mean_absolute_error: 0.2629, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7622, predictive_accuracy: 0.798, prior_entropy: 0.7088, recall: 0.798, relative_absolute_error: 0.8423, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.405, root_relative_squared_error: 1.0254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.7484, kappa: 0.0998, kb_relative_information_score: 165.1379, mean_absolute_error: 0.2883, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7717, predictive_accuracy: 0.8109, prior_entropy: 0.7088, recall: 0.8109, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3767, root_relative_squared_error: 0.9537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.748, kappa: 0.0983, kb_relative_information_score: -171.7524, mean_absolute_error: 0.289, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7728, predictive_accuracy: 0.8111, prior_entropy: 0.7088, recall: 0.8111, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.377, root_relative_squared_error: 0.9544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5021, f_measure: 0.7221, kappa: 0.0069, kb_relative_information_score: 2955.4521, mean_absolute_error: 0.1927, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.8445, predictive_accuracy: 0.8074, prior_entropy: 0.7088, recall: 0.8074, relative_absolute_error: 0.6172, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.4389, root_relative_squared_error: 1.1111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.699, f_measure: 0.7595, kappa: 0.1419, kb_relative_information_score: 73.3081, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7726, predictive_accuracy: 0.8119, prior_entropy: 0.7088, recall: 0.8119, relative_absolute_error: 0.9222, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3757, root_relative_squared_error: 0.9511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6984, f_measure: 0.7461, kappa: 0.0913, kb_relative_information_score: -181.7544, mean_absolute_error: 0.2895, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7777, predictive_accuracy: 0.8118, prior_entropy: 0.7088, recall: 0.8118, relative_absolute_error: 0.9275, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.3765, root_relative_squared_error: 0.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7264, f_measure: 0.7762, kappa: 0.2102, kb_relative_information_score: 3092.4879, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.3121, number_of_instances: 10885, precision: 0.7786, predictive_accuracy: 0.8136, prior_entropy: 0.7088, recall: 0.8136, relative_absolute_error: 0.6084, root_mean_prior_squared_error: 0.395, root_mean_squared_error: 0.415, root_relative_squared_error: 1.0505,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

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

Challenge

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

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

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

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

Given inputs

Expected outputs

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

How to submit runs

Using your favorite machine learning environment

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

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

OpenML APIs